CN116538989B

CN116538989B - Battery torsion detection method, related device, battery, equipment and storage medium

Info

Publication number: CN116538989B
Application number: CN202310830675.8A
Authority: CN
Inventors: 吴凯; 杨雷; 朱翠翠; 王少飞; 魏奕民
Original assignee: Contemporary Amperex Technology Co Ltd
Current assignee: Contemporary Amperex Technology Co Ltd
Priority date: 2023-07-07
Filing date: 2023-07-07
Publication date: 2023-10-10
Anticipated expiration: 2043-07-07
Also published as: WO2025010819A1; CN116538989A

Abstract

The application discloses a battery torsion detection method, a related device, a battery, equipment and a storage medium, wherein the battery torsion detection method comprises the following steps: acquiring detection parameters acquired by sensors arranged at a plurality of positions on a battery; respectively determining the position change of each corresponding sensor by using a plurality of detection parameters; based on the positional changes of the respective sensors, the torsion amount of the battery is determined. According to the scheme, the torsion amount of the battery can be conveniently detected.

Description

Battery torsion detection method, related device, battery, equipment and storage medium

Technical Field

The present application relates to the field of batteries, and in particular, to a battery torsion detection method, a related apparatus, a battery, a device, and a storage medium.

Background

With the improvement of living standard, various batteries (battery packs) are increasingly used in daily life. For example, when the power battery is used as a core part of an electric automobile, the torsion (such as torsion angle) of the battery may be too large during the whole running process of the automobile, so that the structural strength or air tightness of the battery system may be invalid, and if the automobile continues to run at this time, a certain risk may exist. Therefore, a method capable of detecting the torsion amount of the battery is urgently needed.

Disclosure of Invention

The application provides at least a battery torsion detection method, a related device, a battery, equipment and a storage medium.

The application provides a battery torsion detection method, which comprises the following steps: acquiring detection parameters acquired by sensors arranged at a plurality of positions on a battery; respectively determining the position change of each corresponding sensor by using a plurality of detection parameters; based on the positional changes of the respective sensors, the torsion amount of the battery is determined.

In the above-described aspect, by providing the sensors at a plurality of positions on the battery and then determining the position change of the sensors using the data detected by the sensors, since the position change of the sensors is largely due to the torsion of the battery, the amount of torsion of the battery can be determined using the position change of the sensors.

In some embodiments, determining the amount of torsion of the battery based on the change in position of each sensor includes: determining a target sensor based on the change in position of each sensor; the amount of torsion is determined based on the change in position of the target sensor.

In the above scheme, because of the reasons such as the setting positions of the sensors, the sensors at different positions may have different positions due to the position change caused by the torsion amount of the battery, and the position change amount of some sensors cannot well express the torsion amount of the battery, so the target sensor is determined from the sensors through the position change of each sensor, and the torsion amount is determined according to the position change of the target sensor, so that the determined torsion amount of the battery is more accurate.

In some embodiments, determining the target sensor based on the change in position of each sensor includes: comparing the position changes of the sensors, taking the sensor with the largest position change as a first target sensor, and taking at least two sensors with the smallest position change as second target sensors respectively; determining the amount of torsion based on the change in position of the target sensor, comprising: the amount of torsion is determined based on a positional relationship between the first target sensor and the second target sensor.

In the above scheme, because the sensors at different positions may be affected differently by the torsion of the battery due to the reasons such as the setting positions of the sensors, the torsion amount of the battery is determined by referencing the sensor with the largest position change and the position changes of at least two sensors with the smallest position change, so that the determined torsion amount is more accurate.

In some embodiments, determining the amount of torsion based on the positional relationship between the first target sensor and the second target sensor includes: determining a current position of the first target sensor based on the position change of the first target sensor, and determining a current position of each second target sensor based on the position change of each second target sensor; acquiring a first current position relation between the first target sensor and at least one second target sensor based on the current positions of the first target sensor and each second target sensor, and acquiring a second current position relation between at least two second target sensors; the amount of torsion is determined based on a geometric relationship between the first current positional relationship and the second current positional relationship.

In the above scheme, by acquiring the current positions of the first target sensor and the at least two second target sensors, the first current position relationship between the first target sensor and the at least one second target sensor can be used for representing a larger position change caused by the torsion of the battery, and the second current position relationship between the at least two second target sensors can be used for representing a smaller position change caused by the torsion of the battery, and the obtained torsion amount of the battery can be determined through the geometric relationship between the larger position change and the smaller position change to better reflect the torsion of the battery.

In some embodiments, the amount of twist comprises a twist angle; determining the amount of torsion based on the geometric relationship between the first current positional relationship and the second current positional relationship, comprising: determining a first straight line passing through the current positions of the first target sensor and one of the second target sensors based on the first current position relation; determining a second straight line passing through two second target sensors based on the second current position relation; and calculating the included angle between the first straight line and the second straight line to obtain the torsion angle.

In the above-described aspect, by acquiring a first straight line passing through the first target sensor and one of the second target sensors and a second straight line passing through the two second target sensors, the first straight line can be used to represent a larger position change, the second straight line can be used to represent a smaller position change, and then the torsion angle of the battery can be determined from the angle between the two straight lines.

In some embodiments, the number of second target sensors is three, the amount of twist being the angle of twist; determining the amount of torsion based on the geometric relationship between the first current positional relationship and the second current positional relationship, comprising: determining a first plane passing through the first target sensor and the current positions of two second target sensors based on the first current position relationship; determining a second plane passing through the current positions of the three second target sensors based on the second current position relationship; and calculating the included angle between the first plane and the second plane to obtain the torsion angle.

In the above-described aspect, the first plane can be used to represent a larger change in position, and the second plane can be used to represent a smaller change in position, and the torsion angle can be determined by acquiring the angle between the first plane and the second plane.

In some embodiments, the number of second target sensors is three, the amount of twist being the angle of twist; determining the amount of torsion based on the geometric relationship between the first current positional relationship and the second current positional relationship, comprising: determining a third straight line passing through the current positions of the first target sensor and one of the second target sensors based on the first current position relation; determining a third plane passing through the current positions of the three second target sensors based on the second current position relationship; and calculating the included angle between the third straight line and the third plane to obtain the torsion angle.

In the above-described aspect, the third straight line can be used to represent a larger change in position, the third plane can be used to represent a smaller change in position, and the torsion angle can be determined by obtaining the angle between the third straight line and the third plane.

In some embodiments, the number of second target sensors is at least three, the amount of twist being the angle of twist; determining the amount of torsion based on the geometric relationship between the first current positional relationship and the second current positional relationship, comprising: determining a fourth plane passing through the first target sensor and the current positions of two of the second target sensors based on the first current position relationship; determining a fourth straight line passing through the current positions of two second target sensors based on the second current position relation; at least one of the two second target sensors corresponding to the fourth straight line is different from at least one of the two second target sensors corresponding to the fourth plane; and calculating the included angle between the fourth plane and the fourth straight line to obtain the torsion angle.

In the above-described aspect, the fourth plane can be used to represent a larger change in position, the fourth straight line can be used to represent a smaller change in position, and the torsion angle can be determined by obtaining the angle between the fourth plane and the fourth straight line.

In some embodiments, determining the amount of torsion based on the change in position of the target sensor includes: determining the relative position change between at least part of adjacent target sensors respectively; determining the torsion quantity in a preset association relation by utilizing the change quantity of each relative position; the preset association relationship is used for representing the association relationship between the relative change amount and the torsion amount.

In the scheme, the preset association relation between the relative position change amounts and the torsion amounts is established in advance, so that the torsion amounts can be conveniently and directly determined and obtained by directly utilizing the association relation and the relative position change amounts.

In some embodiments, the position change includes a displacement amount, the relative position change includes a relative change amount between the displacement amounts, and determining the position change for each sensor using the plurality of detection parameters includes: and acquiring the displacement of each sensor by using the detection parameters of each sensor.

In the above-described aspect, the displacement amount of each sensor is determined based on the detection parameter of each sensor, so that the torsion amount of the battery can be determined based on the displacement amount.

In some embodiments, the detection parameters include a plurality of accelerations acquired in time series over a preset period of time; the method for acquiring the displacement of each sensor by using the detection parameters of each sensor comprises the following steps: and integrating the acceleration acquired by each sensor twice to obtain the displacement of each sensor.

In the scheme, the displacement of each sensor can be determined by twice integrating the acceleration acquired by each sensor.

In some embodiments, after determining the amount of torsion of the battery, the battery torsion detection method includes: comparing the torsion quantity with a first preset torsion quantity to obtain a comparison result; and executing preset early warning processing in response to the comparison result that the torsion amount is larger than or equal to the first preset torsion amount.

In the above scheme, the determined torsion amount is compared with the first preset torsion amount, if the torsion amount is larger than the first preset torsion amount, the torsion amplitude of the battery can be considered to be larger, and a certain risk is possibly present, so that the corresponding early warning treatment is set, and a certain reminding effect can be achieved.

In some embodiments, after comparing the torsion amount with the first preset torsion amount, the method further includes: responding to the comparison result that the torsion amount is smaller than a first preset torsion amount, and judging whether the torsion damage amount of the battery is larger than or equal to the preset torsion damage amount; and executing preset early warning processing in response to the torsion damage amount of the battery being greater than or equal to the preset torsion damage amount.

In the above scheme, if the torsion amount is smaller than the first preset torsion amount, the current torsion amplitude of the battery may not reach the degree of early warning, but if the torsion damage amount of the battery is larger than the preset torsion damage amount, the battery may be considered to have caused a certain damage in the continuous torsion process, and if the battery continues to possibly have a certain risk, the preset early warning process needs to be executed.

In some embodiments, before determining whether the amount of torsional damage to the battery is greater than or equal to the preset amount of torsional damage, the battery torsion detection method further includes: acquiring accumulated times of which the torsion amount is larger than or equal to a second preset torsion amount; determining torsion damage amount matched with the accumulated times in a preset damage curve based on the accumulated times; the damage curve is used for representing the association relation between the torsion damage amount and the accumulated times.

In the above scheme, the number of times that the torsion amount is larger than the second preset torsion amount is obtained, if the battery reaches the second preset torsion amount for a long time, irreversible damage is likely to be caused, so that the torsion damage amount of the battery is specifically determined by obtaining the association relationship between the torsion damage amount and the number of times.

In some embodiments, acquiring detection parameters acquired by sensors disposed at a plurality of locations on a battery includes: and acquiring detection parameters acquired by each sensor in real time in the same preset time period.

In the scheme, the detection parameters acquired by the sensor in real time can be acquired, so that the torsion of the battery can be conveniently determined in real time.

In some embodiments, acquiring detection parameters acquired by sensors disposed at a plurality of locations on a battery includes: during the running process of the vehicle, detection parameters acquired in real time by sensors arranged at a plurality of positions on the battery are acquired.

In the scheme, the detection parameters acquired by the sensors in real time are acquired in the running process of the vehicle, so that the torsion condition of the battery can be detected in real time in the running process of the vehicle, and the risk of the vehicle in the running process of the vehicle due to the fact that the torsion of the battery is large is reduced.

The application provides a battery torsion detection device, comprising: the device comprises a data acquisition module, a first determination module and a second determination module; the data acquisition module is used for acquiring detection parameters acquired by sensors arranged at a plurality of positions on the battery; the first determining module is used for determining the position change of each corresponding sensor by utilizing a plurality of detection parameters; and a second determining module for determining the torsion amount of the battery based on the position change of each sensor.

The present application provides a battery comprising: the battery torsion detection device comprises a controller and sensors arranged at a plurality of positions, wherein the controller is connected with each sensor and is used for realizing any battery torsion detection method.

In some embodiments, the battery includes a battery body and a battery case for housing the battery body, and the plurality of sensors are disposed at a plurality of corner positions on a bottom of the battery case.

The application provides an electric device, comprising: the device comprises a battery, a controller and sensors arranged at a plurality of positions of the battery, wherein the controller is electrically connected with the sensors; wherein the controller is configured to perform any of the battery torsion detection methods described above.

In some embodiments, the controller comprises one of a BMS system and a VCU.

The application provides an electronic device, which comprises a memory and a processor, wherein the processor is used for executing program instructions stored in the memory so as to realize the battery torsion detection method.

The present application provides a computer readable storage medium having stored thereon program instructions which, when executed by a processor, implement the above-described battery torsion detection method.

In the above-described aspect, by providing the sensors at a plurality of positions on the battery and then determining the position change of the sensors using the data detected by the sensors, since the position change of the sensors is largely due to the torsion of the battery, the amount of torsion of the battery can be determined using the position change of the sensors. It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the application as claimed.

Drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the application and together with the description, serve to explain the principles of the application.

FIG. 1 is a schematic illustration of a vehicle according to some embodiments of the application;

fig. 2 is an exploded view of a battery according to some embodiments of the present application;

fig. 3 is a schematic exploded view of a battery cell according to some embodiments of the present application;

FIG. 4 is a schematic view of another battery according to some embodiments of the application;

FIG. 5 is a flow chart of a battery torsion detection method according to some embodiments of the present application;

FIG. 6 is a schematic diagram of the sensor before and after a change in position according to some embodiments of the application;

FIG. 7 is another flow chart of a battery torsion detection method according to some embodiments of the present application;

FIG. 8 is a schematic diagram of a battery torsion detection device according to some embodiments of the present application;

FIG. 9 is a schematic diagram of an electronic device according to some embodiments of the application;

fig. 10 is a schematic diagram of the structure of a computer-readable storage medium according to some embodiments of the application.

Reference numerals:

a vehicle 1000;

battery 100, controller 200, motor 300, sensor 400;

A battery case 10, a first portion 11, a second portion 12;

the battery pack comprises a battery body 102, a battery cell 20, an end cover 21, an electrode terminal 21a, a housing 22, an electrode assembly 23, a tab 23a, a battery torsion detection device 40, a data acquisition module 41, a first determination module 42, a second determination module 43, an electronic device 50, a memory 51, a processor 52, a computer-readable storage medium 60, and program instructions 61.

Detailed Description

The following describes embodiments of the present application in detail with reference to the drawings.

In the following description, for purposes of explanation and not limitation, specific details are set forth such as the particular sub-system architecture, interfaces, techniques, etc., in order to provide a thorough understanding of the present application.

The term "and/or" is herein merely an association relationship describing an associated object, meaning that there may be three relationships, e.g., a and/or B, may represent: a exists alone, A and B exist together, and B exists alone. In addition, the character "/" herein generally indicates that the front and rear associated objects are an "or" relationship. Further, "a plurality" herein means two or more than two. In addition, the term "at least one" herein means any one of a plurality or any combination of at least two of a plurality, for example, including at least one of A, B, C, and may mean including any one or more elements selected from the group consisting of A, B and C.

In the case of using a power battery as a core component of an electric vehicle, the torsion amount (such as torsion angle) of the battery may be too large during the running process of the whole vehicle, which may cause structural strength or airtight failure of the battery system, and if the vehicle continues to run at this time, a certain risk may exist. In the embodiment, the sensors are arranged at a plurality of positions on the battery, and the torsion amount of the battery is determined by detecting the position change of the sensors, so that the risk in the running process of the vehicle can be reduced.

The battery torsion detection method disclosed by the embodiment of the application can be applied to an electric device using a battery as a power supply or various energy storage systems using the battery as an energy storage element, or can also be applied to other computer equipment which establishes communication connection with the electric device. The power device may be, but is not limited to, a cell phone, tablet, notebook computer, electric toy, electric tool, battery car, electric car, ship, spacecraft, etc. Among them, the electric toy may include fixed or mobile electric toys, such as game machines, electric car toys, electric ship toys, electric plane toys, and the like, and the spacecraft may include planes, rockets, space planes, and spacecraft, and the like.

As shown in fig. 1, the present application provides an electric device. The power utilization device comprises a battery, a controller and sensors arranged at a plurality of positions of the battery, wherein the controller is electrically connected with the sensors; the controller is used for executing any one of the battery torsion detection methods provided by the embodiment of the battery torsion detection method.

For convenience of description, the following embodiment will take an electric device according to an embodiment of the present application as an example of the vehicle 1000.

Referring to fig. 1, fig. 1 is a schematic structural diagram of a vehicle 1000 according to some embodiments of the application. The vehicle 1000 may be a fuel oil vehicle, a gas vehicle or a new energy vehicle, and the new energy vehicle may be a pure electric vehicle, a hybrid vehicle or a range-extended vehicle. The battery 100 is provided in the interior of the vehicle 1000, and the battery 100 may be provided at the bottom or the head or the tail of the vehicle 1000. The battery 100 may be used for power supply of the vehicle 1000, for example, the battery 100 may be used as an operating power source of the vehicle 1000. The vehicle 1000 may also include a controller 200 and a motor 300, the controller 200 being configured to control the battery 100 to power the motor 300, for example, for operating power requirements during start-up, navigation, and travel of the vehicle 1000. The sensors 400 are disposed at a plurality of positions of the battery, and the controller 200 is electrically connected to the sensors 400. The sensor 400 may be powered by the battery 100, for example, the sensor 400 may be connected to a 12V transmission harness.

In some embodiments of the present application, battery 100 may not only serve as an operating power source for vehicle 1000, but may also serve as a driving power source for vehicle 1000, instead of or in part instead of fuel oil or natural gas, to provide driving power for vehicle 1000. The battery 100 in this embodiment may be a pack including a controller, or may be a battery cell, a battery module, or a battery module not including a controller. Among them, the battery cell may be regarded as the smallest unit constituting the battery. Each battery cell may be a secondary battery or a primary battery; but not limited to, lithium sulfur batteries, sodium ion batteries, or magnesium ion batteries. The battery cells may be cylindrical, flat, rectangular, or otherwise shaped. The battery module may be considered as an integral body obtained by connecting a plurality of battery cells in series, parallel or series-parallel, and accommodated in a case. The series-parallel connection refers to that a plurality of battery monomers are connected in series or in parallel. For example, the plurality of battery cells can be directly connected in series, in parallel or in series-parallel, and then the whole formed by the plurality of battery cells is accommodated in the box body. The battery module can also be in a form that a plurality of battery monomers are connected in series or in parallel or in series-parallel to form a battery module, and a plurality of battery modules are connected in series or in parallel or in series-parallel to form a whole and are accommodated in the box body.

Referring to fig. 2, fig. 2 is an exploded view of a battery 100 according to some embodiments of the present application. The battery 100 includes a battery case 10 and a battery cell 20, and the battery cell 20 is accommodated in the battery case 10. The battery case 10 is used to provide an accommodating space for the battery cell 20, and the battery case 10 may have various structures. In some embodiments, the battery case 10 may include a first portion 11 and a second portion 12, the first portion 11 and the second portion 12 being overlapped with each other, the first portion 11 and the second portion 12 together defining an accommodating space for accommodating the battery cell 20. The second portion 12 may be a hollow structure with one end opened, the first portion 11 may be a plate-shaped structure, and the first portion 11 covers the opening side of the second portion 12, so that the first portion 11 and the second portion 12 together define a containing space; the first portion 11 and the second portion 12 may be hollow structures each having an opening at one side, and the opening side of the first portion 11 is engaged with the opening side of the second portion 12. Of course, the battery case 10 formed by the first and second portions 11 and 12 may be of various shapes, such as a cylinder, a rectangular parallelepiped, etc.

In the battery 100, the plurality of battery cells 20 may be connected in series, parallel or a series-parallel connection, wherein the series-parallel connection refers to that the plurality of battery cells 20 are connected in series or parallel. The plurality of battery cells 20 can be directly connected in series or in parallel or in series-parallel, and then the whole formed by the plurality of battery cells 20 is accommodated in the battery box 10; of course, the battery 100 may also be a battery module formed by connecting a plurality of battery cells 20 in series or parallel or series-parallel connection, and a plurality of battery modules are then connected in series or parallel or series-parallel connection to form a whole and are accommodated in the battery case 10. The battery 100 may further include other structures, for example, the battery 100 may further include a bus member for making electrical connection between the plurality of battery cells 20.

Wherein each battery cell 20 may be a secondary battery or a primary battery; but not limited to, lithium sulfur batteries, sodium ion batteries, or magnesium ion batteries. The battery cell 20 may be in the shape of a cylinder, a flat body, a rectangular parallelepiped, or other shapes, etc.

Referring to fig. 3, fig. 3 is an exploded view of a battery cell 20 according to some embodiments of the present application. The battery cell 20 refers to the smallest unit constituting the battery. As shown in fig. 3, the battery cell 20 includes an end cap 21, a case 22, an electrode assembly 23, and other functional components.

The end cap 21 refers to a member that is covered at the opening of the case 22 to isolate the internal environment of the battery cell 20 from the external environment. Without limitation, the shape of the end cap 21 may be adapted to the shape of the housing 22 to fit the housing 22. Optionally, the end cover 21 may be made of a material (such as an aluminum alloy) with a certain hardness and strength, so that the end cover 21 is not easy to deform when being extruded and collided, so that the battery cell 20 can have higher structural strength, and the safety performance can be improved. The end cap 21 may be provided with a functional member such as an electrode terminal 21 a. The electrode terminal 21a may be used to be electrically connected with the electrode assembly 23 for outputting or inputting electric power of the battery cell 20. In some embodiments, the end cap 21 may also be provided with a pressure relief mechanism for relieving the internal pressure when the internal pressure or temperature of the battery cell 20 reaches a threshold. The material of the end cap 21 may be various, such as copper, iron, aluminum, stainless steel, aluminum alloy, plastic, etc., which is not particularly limited in the embodiment of the present application. In some embodiments, insulation may also be provided on the inside of the end cap 21, which may be used to isolate electrical connection components within the housing 22 from the end cap 21 to reduce the risk of short circuits. By way of example, the insulation may be plastic, rubber, or the like.

The case 22 is an assembly for cooperating with the end cap 21 to form an internal environment of the battery cell 20, wherein the formed internal environment may be used to accommodate the electrode assembly 23, the electrolyte, and other components. The sensor may be disposed at the bottom within the housing 22, such as at a corner location of the housing 22. The case 22 and the end cap 21 may be separate members, and an opening may be provided in the case 22, and the interior of the battery cell 20 may be formed by covering the opening with the end cap 21 at the opening. It is also possible to integrate the end cap 21 and the housing 22, but specifically, the end cap 21 and the housing 22 may form a common connection surface before other components are put into the housing, and when it is necessary to encapsulate the inside of the housing 22, the end cap 21 is then put into place with the housing 22. The housing 22 may be of various shapes and sizes, such as rectangular parallelepiped, cylindrical, hexagonal prism, etc. Specifically, the shape of the case 22 may be determined according to the specific shape and size of the electrode assembly 23. The material of the housing 22 may be various, such as copper, iron, aluminum, stainless steel, aluminum alloy, plastic, etc., which is not particularly limited in the embodiment of the present application.

The electrode assembly 23 is a component in which electrochemical reactions occur in the battery cell 100. One or more electrode assemblies 23 may be contained within the housing 22. The electrode assembly 23 is mainly formed by winding or stacking a positive electrode sheet and a negative electrode sheet, and a separator is generally provided between the positive electrode sheet and the negative electrode sheet. The portions of the positive electrode sheet and the negative electrode sheet having the active material constitute the main body portion of the electrode assembly, and the portions of the positive electrode sheet and the negative electrode sheet having no active material constitute the tab 23a, respectively. The positive electrode tab and the negative electrode tab may be located at one end of the main body portion together or located at two ends of the main body portion respectively. During charge and discharge of the battery, the positive electrode active material and the negative electrode active material react with the electrolyte, and the tab 23a is connected to the electrode terminal to form a current loop.

In some embodiments, the controller 200 includes one of a BMS system and a VCU.

The BMS system (Battery Management System ) is commonly called a battery care provider or a battery manager, and is mainly used for intelligently managing and maintaining each battery unit, for example, preventing the battery from being overcharged and overdischarged, prolonging the service life of the battery, and monitoring the state of the battery. The VCU may be considered a vehicle control unit. The whole vehicle controller is key equipment of a whole vehicle electronic control system of the pure electric vehicle. The vehicle controller of the pure electric vehicle can reasonably distribute energy and furthest improve the utilization efficiency of the energy of the vehicle-mounted battery, and the function is similar to that of an Engine Management System (EMS) in the traditional internal combustion engine vehicle. An electric control unit (VCU) of the whole vehicle controller is a core of the whole vehicle controller system. At present, electronic devices on electric automobiles are increasingly increased, control systems are increasingly complex, and an advanced whole-vehicle control structure has important significance for ensuring safe and reliable running of the vehicles and improving data transmission efficiency among the control systems. The whole electric automobile control system for applying for a foreign patent is shown in the figure, can realize the functions of motor drive control, temperature control, energy management control and the like, and mainly comprises a sensor input and switch system, a system drive output system, a control unit output system and the like.

Referring to fig. 4, a battery 100 provided by the present application may include a controller 200 and sensors 400 disposed at a plurality of positions. The controller 200 is connected to each sensor 400 for implementing at least one battery torsion detection method provided by the embodiment of the battery torsion detection method of the present application.

The battery 100 includes a battery cell, a battery module, or a battery module. The battery 100 provided in this embodiment may be the same as or different from the battery 100 provided in the above-described power consumption device. The controller 200 may include one of a BMS system and a VCU, or the controller 200 may include other control systems. The controller 200 provided in this embodiment may be the same as or different from the controller 200 provided by the above-described power consumption device. Wherein the plurality of positions may be two or more. I.e., the number of the sensors 400 is three or more, the installation positions of the sensors 400 are different. The sensor 400 provided in this embodiment may be the same as or different from the sensor 400 provided by the above-described power consumption device. The sensor 400 may be of the type acceleration sensor, speed sensor, angle sensor, strain sensor, etc. The sensors 400 at the respective positions may be identical or different. The sensor 400 may be powered by the battery 100 (e.g., battery body), alternatively, the sensor 400 may be connected with a 12V high voltage harness. Illustratively, the plurality of sensors 400 may each be an acceleration sensor, may each be an angle sensor, etc., or some of the plurality of sensors 400 may be acceleration sensors, and others may be speed sensors and/or angle sensors, etc. The controller 200 is connected to each sensor 400 such that the controller 200 can receive data collected by each sensor 400. The battery torsion detection method is described in the following embodiments of the battery torsion detection method, and will not be described herein.

In the above-described scheme, by providing the sensor 400 at a plurality of positions on the battery 100 and then determining the position change of the sensor 400 using the data detected by the sensor 400, since the position change of the sensor 400 is largely due to the torsion of the battery 100, the amount of torsion of the battery 100 can be determined using the position change of the sensor 400.

In some embodiments, the battery 100 includes a battery body 102 and a battery case 10 for accommodating the battery body 102, and a plurality of sensors 400 are disposed at a plurality of corner positions on the bottom of the battery case 10.

In this embodiment, the battery 100 includes a battery module or a battery module. In some applications, the battery 100 includes a battery module, and the battery body 102 may be an integral body obtained by connecting a plurality of battery cells in series, parallel, or a mixture thereof. In some application scenarios, the battery 100 includes a battery module, and the body may be an integral body obtained by connecting a plurality of battery modules in series, parallel, or a mixture of the battery modules. In some application scenarios, the battery body 102 may be considered a battery system. The battery system is generally a box-type structure, and acceleration sensors or strain sensors and angle sensors may be disposed at four corners or a plurality of positions of the battery system. The battery case 10 generally includes a bottom (not shown) and a top cover (not shown) and side walls (not shown), which enclose a receiving cavity in which the battery body 102 may be placed. The battery body 102 is placed on the bottom of the battery case 10. The angular position on the bottom of the battery case 10 may specifically be a position of the bottom of the battery case 10 near the side wall of the battery case 10. Alternatively, as shown in fig. 4, the battery case 10 may have a square shape, and the corner positions may be corner positions where the two side walls and the bottom are connected. The sensors 400 should be disposed as far as possible on the outermost side of the battery system, and the wiring between the sensors 400 can cover the main torsion region of the battery system, for example. The sensor 400 is arranged in the box 10 as much as possible, and a certain distance exists between the sensor 400 and structural components such as internal high-voltage connection and a battery cell, so that potential safety hazards caused by friction between the sensor 400 and the structural components in the vibration process are avoided. The arrangement of the sensor 400 needs to be reliable and secure to prevent the sensor 400 from falling off.

Referring to fig. 5, the method for detecting battery torsion according to the present application may include the following steps S11 to S13. Step S11: acquiring detection parameters acquired by sensors arranged at a plurality of positions on a battery; step S12: respectively determining the position change of each corresponding sensor by using a plurality of detection parameters; step S13: based on the positional changes of the respective sensors, the torsion amount of the battery is determined.

The battery torsion detection method provided by the application can be applied to the power utilization device provided by the power utilization device embodiment, and can also be applied to the battery 100 provided by the battery embodiment. The battery may be any of the above, for example, a pack including a controller, or may be a battery cell, a battery module, or a battery module. Wherein the plurality of positions may be two or more. That is, the number of the sensors is three or more, and the setting positions of the sensors are different. The type of sensor may be an acceleration sensor, a speed sensor, an angle sensor, a strain sensor, etc. The sensors at the various locations may be the same or different. When the sensor is an acceleration sensor, the acquired detection parameter is acceleration, and when the sensor is a speed sensor, the acquired detection parameter is speed. The positional change of each sensor can be regarded as a positional change between each sensor with respect to the respective initial position. The change in position may include a distance of movement and/or an angle of movement. The determining the position change of each sensor by using the plurality of detection parameters may specifically be determining the movement distance and/or movement angle of the sensor by using the detection parameters, thereby obtaining the position change of each sensor. For example, if the sensor is an acceleration sensor, the displacement of the sensor can be obtained by twice integrating the acceleration acquired by the acceleration sensor, and the manner of acquiring the position change of the sensor by the speed sensor, the angle sensor and the like is the same and will not be described herein. The method of determining the torsion amount of the battery based on the positional changes of the sensors may be to determine the torsion amount of the battery based on the difference between the positional changes of the sensors, and if the positional changes of the sensors are the same, it is likely that only the movement of the battery occurs and no torsion occurs, so the torsion of the battery can be determined by the difference between the positional changes of the sensors at different positions. As shown in fig. 6, the number of sensors may be 4, and a1, a2, a3, and a4 are respectively provided at four different positions of the battery, and the position changes of the sensors at the different positions are different, and the position changes of the sensors are largely due to the torsion of the battery, so that the torsion amount of the battery can be obtained by calculating the position changes of the sensors, and the like.

In some embodiments, the method for determining the torsion amount of the battery based on the position change of each sensor may be: the target sensor is determined based on the change in position of each sensor. The amount of torsion is determined based on the change in position of the target sensor.

The target sensor may be a partial sensor or a full sensor. Based on the positional changes of the sensors, the manner in which the target sensor is determined may be to select the sensor that is changed more and the sensor that is changed less as the target sensor. Illustratively, several of the most varied and the least varied are selected as the target sensors. The manner of determining the torsion amount based on the position change of the target sensor may be to determine the torsion amount of the battery from a difference between the position changes of the target sensor.

In the above scheme, because of the reasons such as the setting positions of the sensors, the sensors at different positions may have different positions due to the position change caused by the torsion amount of the battery, and the position change amount of some sensors cannot well express the torsion amount of the battery, so the target sensor is determined from the sensors through the position change of each sensor, and the torsion amount is determined according to the position change of the target sensor, so that the determined torsion amount of the battery is more accurate. In addition, by selecting a portion from the respective sensors as the target sensor, the amount of calculation for calculating the amount of torsion can be reduced, thereby improving the rate of calculation.

In some embodiments, the method for determining the target sensor based on the position change of each sensor may be: the position changes of the sensors are compared, the sensor with the largest position change is used as a first target sensor, and at least two sensors with the smallest position change are used as second target sensors. The manner of determining the torsion amount based on the position change of the target sensor may be: the amount of torsion is determined based on a positional relationship between the first target sensor and the second target sensor.

The at least two may be two or more, and the second target sensor may have a position change smaller than that of the other sensors than the second target sensor. In other embodiments, the second sensor with the largest position change or another sensor may be used as the first target sensor, and the sensor with the largest position change is not limited to the first target sensor. The manner of determining the torsion amount based on the positional relationship between the first and second target sensors may be to determine the current positions of the first and second target sensors based on the positional changes of the first and second target sensors, and then determine the torsion amount based on the relationship between the current positions of the respective sensors. Optionally, the initial positions of the sensors are in the same plane, if the position change amounts of the sensors are different, the sensors after the position change may not be in the same plane, and the torsion of the battery can be determined according to the current positions of the sensors.

In some embodiments, the method for determining the torsion amount based on the positional relationship between the first target sensor and the second target sensor may be: the current position of the first target sensor is determined based on the change in position of the first target sensor, and the current position of each second target sensor is determined based on the change in position of each second target sensor. Then, based on the current positions of the first target sensor and each of the second target sensors, a first current positional relationship between the first target sensor and at least one of the second target sensors is acquired, and a second current positional relationship between at least two of the second target sensors is acquired. And determining the torsion amount based on the geometric relationship between the first current position relationship and the second current position relationship.

As described above, the positional change of the sensor may be a positional change with respect to the initial position. By acquiring the position changes of the sensors, the current position of each sensor can be determined. The first current positional relationship between the first target sensor and the at least one second target sensor may specifically be a first current positional relationship between the first target sensor and one second target sensor or a first current positional relationship between the first target sensor and two second target sensors or a first current positional relationship between the second target sensor and three or more second target sensors. The geometric relationship may be a relationship in angle or distance that exists between two positional relationships. Determining the amount of torsion based on the geometric relationship between the first current positional relationship and the second current positional relationship may determine the amount of torsion based on an angle or distance between the two current positional relationships.

In some embodiments, the amount of twist comprises a twist angle. The manner of determining the torsion amount based on the geometric relationship between the first current position relationship and the second current position relationship may be: a first straight line passing through the current positions of the first target sensor and one of the second target sensors is determined based on the first current position relationship. Then, a second straight line passing through two of the second target sensors is determined based on the second current positional relationship. And calculating an included angle between the first straight line and the second straight line to obtain a torsion angle.

The twist angle may be considered as the angle of rotation of the battery along a certain plane or a certain straight line. The initial placement of the sensors is typically at the same level, as twisting of the battery may result in sensors not being at the same level, and the line or plane of formation between the partial sensors is likely to be at an angle to the original level, which may be considered the twist angle of the battery. In general, two points define a straight line. The first straight line may be considered as a straight line passing through the current position of the first object sensor and the current position of one of the second object sensors. One of the second object sensors may be the one with the smaller positional change or the one with the larger positional change of the two second object sensors. The second straight line may be regarded as a straight line passing through the current positions of the two second object sensors. The second straight line corresponds to the straight line where the two sensors with the minimum position change are located, the included angle between the second straight line and the original horizontal plane is minimum, and the included angle between the first straight line and the original horizontal plane can be considered to be maximum, so that the included angle between the first straight line and the second straight line can reflect the torsion of the battery relatively to the included angle between other straight lines.

In some embodiments, the number of second target sensors is three. The amount of twist is the angle of twist. The manner of determining the torsion amount based on the geometric relationship between the first current position relationship and the second current position relationship may be: a first plane passing through the first target sensor and the current positions of two of the second target sensors is determined based on the first current positional relationship. Then, based on the second current positional relationship, a second plane passing through the current positions of the three second target sensors is determined. And calculating the included angle between the first plane and the second plane to obtain the torsion angle.

In general, two points define a straight line and three points define a plane. By the positional relationship between the first object sensor and two of the second object sensors, a first plane passing through the current positions of the three sensors can be determined, and similarly, a second plane passing through the current positions of the three second object sensors can be determined. The included angle between the second plane and the original horizontal plane is smaller, the included angle between the first plane and the original horizontal plane is larger, the included angle between the first plane and the original horizontal plane can be used for representing larger position change, and the torsion angle of the battery can be determined by acquiring the included angle between the two planes.

In some embodiments, the number of second target sensors is three and the amount of twist is the angle of twist. The manner of determining the torsion amount based on the geometric relationship between the first current position relationship and the second current position relationship may be: a third line passing through the current position of the first object sensor and one of the second object sensors is determined based on the first current position relationship. Then, a third plane passing through the current positions of the three second target sensors is determined based on the second current position relationship. And calculating an included angle between the third straight line and the third plane to obtain a torsion angle.

The manner of determining the third line may refer to the manner of determining the first line described above, and will not be described herein. The manner of determining the third plane may refer to the manner of acquiring the second plane described above, and will not be described herein. The included angle between the third plane and the original plane is smaller, the included angle between the third straight line and the original plane is larger, and the torsion angle can be determined by acquiring the included angle between the third straight line and the third plane.

In some embodiments, the number of second target sensors is at least three and the amount of twist is the angle of twist. The manner of determining the torsion amount based on the geometric relationship between the first current position relationship and the second current position relationship may be: a fourth plane is determined that passes through the first target sensor and the current positions of two of the second target sensors based on the first current positional relationship. Then, a fourth straight line passing through the current positions of two of the second target sensors is determined based on the second current position relationship. Wherein at least one of the two second target sensors corresponding to the fourth line and at least one of the two second target sensors corresponding to the fourth plane are different. And calculating the included angle between the fourth plane and the fourth straight line to obtain the torsion angle.

At least one of the two second target sensors corresponding to the fourth straight line is different from at least one of the two second target sensors corresponding to the second plane. In other words, the fourth straight line is not on the fourth plane, i.e. the angle between the fourth straight line and the fourth plane is not 0 °.

In some embodiments, the method for determining the torsion amount based on the position change of the target sensor may be: the relative position change amounts between at least part of the adjacent target sensors are determined, respectively. And determining the torsion quantity in a preset association relation by utilizing the change quantity of each relative position. The preset association relationship is used for representing the association relationship between the relative change amount and the torsion amount.

The relative position change amount may include a relative movement distance and/or a relative movement angle, and the like. The adjacency may be an adjacency in the clockwise or counterclockwise arrangement direction, or the adjacency may also be that the distance between the initial setting positions is less than or equal to a preset distance, which may be called adjacency, for example. There may be two adjacent target sensors along one sensor in a clockwise or counter-clockwise direction, and at least some of the adjacent sensors may be one or two adjacent sensors. The preset association relationship may be an association relationship table, and the corresponding torsion amount may be determined directly by a table look-up method by pre-establishing an association relationship table between the relative variation amount and the torsion amount. If the relative position change quantity does not exist in the preset association relation, the corresponding torsion quantity can be determined in an interpolation mode.

In some embodiments, the positional change comprises an amount of displacement and the relative positional change comprises an amount of relative change between the amounts of displacement. The manner of determining the position change of each sensor by using the plurality of detection parameters may be: and acquiring the displacement of each sensor by using the detection parameters of each sensor.

In general, displacement includes distance and angle. The displacement amount described in this embodiment includes a moving distance and an angle. The relative position change amount includes a relative change amount between moving distances and/or a relative change amount between moving angles. The method of obtaining the displacement amount of each sensor using the detection parameter of each sensor may be to integrate the detection parameter of each sensor, or the like, to obtain the displacement amount of each sensor.

In some embodiments, the detection parameter includes a plurality of accelerations acquired in time series over a preset period of time. The method for obtaining the displacement of each sensor by using the detection parameters of each sensor may be as follows: and integrating the acceleration acquired by each sensor twice to obtain the displacement of each sensor.

The acceleration acquired by each sensor is integrated once to obtain a speed parameter, and then the speed parameter is integrated once again to obtain displacement.

In some embodiments, after determining the amount of torsion of the battery, the battery torsion detection method may further include the steps of: and comparing the torsion amount with a first preset torsion amount to obtain a comparison result. And then, executing preset early warning processing in response to the comparison result that the torsion amount is larger than or equal to the first preset torsion amount.

As described above, the amount of torsion may be a torsion angle. The first predetermined amount of twist may also be a twist angle. The first preset torsion amount may be regarded as a set battery torsion limit value, i.e. if the torsion amount of the battery reaches this limit value, there is a higher risk that the first preset torsion amount may be obtained by experiments such as testing or simulation. The preset early warning process includes, but is not limited to, sending out a warning tone, flashing a warning light, or sending early warning information to a preset user.

In some embodiments, after comparing the torsion amount with the first preset torsion amount, the battery torsion detection method may further include the steps of: and judging whether the torsion damage amount of the battery is larger than or equal to the preset torsion damage amount or not in response to the comparison result that the torsion amount is smaller than the first preset torsion amount. And executing preset early warning processing in response to the torsion damage amount of the battery being greater than or equal to the preset torsion damage amount.

The amount of torsional damage can be used to indicate the degree of damage to the battery due to torsion. If the damage caused by the battery in the twisting process is greater than or equal to the preset twisting damage amount, a certain risk exists even if the twisting angle of the battery does not reach the limit value, and at the moment, preset early warning treatment can be executed.

In some embodiments, before determining whether the amount of torsional damage of the battery is greater than or equal to the preset amount of torsional damage, the battery torsion detection method may further include the steps of: and acquiring the accumulated times of which the torsion amount is larger than or equal to the second preset torsion amount. And then, determining the torsion damage amount matched with the accumulated times in a preset damage curve based on the accumulated times. The damage curve is used for representing the association relation between the torsion damage amount and the accumulated times.

The second preset amount of torsion may be a torsion angle. The second preset amount of torsion is less than the first preset amount of torsion. The accumulated number of times may be the accumulated number of times the battery is shipped from the factory or the torsion amount is calculated for the first time to the current time. The damage curve can be obtained through experiments such as testing or simulation.

In some embodiments, the manner of acquiring the detection parameters acquired by the sensors disposed at a plurality of positions on the battery may be: and acquiring detection parameters acquired by each sensor in real time in the same preset time period.

Real-time acquisition refers to the small time interval between the acquired detection parameters and determining the amount of torsion of the battery. The length of the preset time period may be defined by the user, and is not particularly limited herein.

In some embodiments, the manner of acquiring the detection parameters acquired by the sensors disposed at a plurality of positions on the battery may be: during the running process of the vehicle, detection parameters acquired in real time by sensors arranged at a plurality of positions on the battery are acquired.

The battery is provided on the vehicle. The vehicle being in a running state may be regarded as the vehicle being in a powered-on state or the position of the vehicle being changed.

Referring to fig. 7, the method for detecting the torsion of the battery according to the present embodiment may further include the following steps:

step S21: and acquiring detection parameters acquired by sensors arranged at a plurality of positions on the battery.

As described above, the sensor may be an acceleration sensor, a strain sensor, or an angle sensor. The data of the sensors can be collected in real time through the BMS system, and then the torsion angle of the battery system is converted according to the relative position relation of the sensors. The BMS system may be provided in a battery or in the power utilization device. For example, the battery may be a pack, which may include a BMS system. The battery may include a battery body (e.g., a battery system), which is typically a box-type structure, and sensors may be disposed at four corners or more of the battery system. For example, the sensors are arranged at the outermost sides of the battery system, and the wiring between the sensors can cover the main torsion area of the battery system. The battery comprises a box body, the sensor is arranged in the box body as much as possible, and a certain distance exists between the sensor and structural components such as an internal high-voltage connection structure and a battery cell, so that potential safety hazards are brought due to friction between the sensor and the sensor in the vibration prevention process.

Step S22: the position change of each sensor is determined by using a plurality of detection parameters.

For example, the four corners of the battery system are respectively provided with an acceleration sensor, so that the change of acceleration with time can be acquired in real time. The displacement signal can be converted by integrating the acceleration signal twice.

Step S23: based on the positional changes of the respective sensors, the torsion amount of the battery is determined.

The amount of twist includes the angle of twist. The current position of each sensor can be determined through the position change of each sensor, so that the torsion gesture of the battery system is reproduced, and the torsion angle of the battery system is obtained in real time.

Step S24: judging whether the torsion amount is larger than or equal to a first preset torsion amount.

And comparing the obtained torsion angle with the simulated or tested and calibrated torsion angle, if the obtained torsion angle is larger than or equal to the limit torsion angle, executing the step S25, otherwise, executing the step S26. And early warning is carried out, so that a driver can be prompted to carry out maintenance.

Step S25: and executing preset early warning processing.

Step S26: and acquiring the accumulated times of which the torsion amount is larger than or equal to the second preset torsion amount.

If the torsion angle is less than this limit torsion angle, the torsion angle and the number of occurrences need to be recorded. For example, the cumulative number of times greater than or equal to the second preset amount of torsion is counted.

Step S27: and determining the torsion damage amount matched with the accumulated times in a preset damage curve based on the accumulated times.

And counting the torsion damage of the battery system by combining the torsion angle fatigue curve of the battery system.

Step S28: and judging whether the torsion damage amount of the battery is larger than or equal to a preset torsion damage amount.

However, when the damage value is greater than or equal to the preset torsion damage amount, early warning is started, and a driver is prompted to carry out maintenance. For example, the preset amount of torsional damage may be 1.

The torsion angle of the battery system can be detected in real time in the whole vehicle running process. The detection frequency is high, so that the detection is omitted at the maximum torsion angle, and the failure early warning can be carried out.

Referring to fig. 8, the battery torsion detecting apparatus 40 provided in the present embodiment may include: a data acquisition module 41, a first determination module 42, and a second determination module 43; a data acquisition module 41 for acquiring detection parameters acquired by sensors provided at a plurality of positions on the battery; a first determining module 42, configured to determine a position change of each sensor by using a plurality of detection parameters; a second determination module 43 for determining the amount of torsion of the battery based on the positional change of each sensor.

In some embodiments, the second determination module 43 determines the amount of torsion of the battery based on the change in position of each sensor, including: determining a target sensor based on the change in position of each sensor; the amount of torsion is determined based on the change in position of the target sensor.

In some embodiments, the second determination module 43 determines the target sensor based on the change in position of each sensor, including: comparing the position changes of the sensors, taking the sensor with the largest position change as a first target sensor, and taking at least two sensors with the smallest position change as second target sensors respectively; determining the amount of torsion based on the change in position of the target sensor, comprising: the amount of torsion is determined based on a positional relationship between the first target sensor and the second target sensor.

In some embodiments, the second determination module 43 determines the amount of torsion based on a positional relationship between the first target sensor and the second target sensor, including: determining a current position of the first target sensor based on the position change of the first target sensor, and determining a current position of each second target sensor based on the position change of each second target sensor; acquiring a first current position relation between the first target sensor and at least one second target sensor based on the current positions of the first target sensor and each second target sensor, and acquiring a second current position relation between at least two second target sensors; the amount of torsion is determined based on a geometric relationship between the first current positional relationship and the second current positional relationship.

In some embodiments, the amount of twist comprises a twist angle; the second determination module 43 determines a torsion amount based on a geometric relationship between the first current positional relationship and the second current positional relationship, including: determining a first straight line passing through the current positions of the first target sensor and one of the second target sensors based on the first current position relation; determining a second straight line passing through two second target sensors based on the second current position relation; and calculating the included angle between the first straight line and the second straight line to obtain the torsion angle.

In some embodiments, the number of second target sensors is three, the amount of twist being the angle of twist; the second determination module 43 determines a torsion amount based on a geometric relationship between the first current positional relationship and the second current positional relationship, including: determining a first plane passing through the first target sensor and the current positions of two second target sensors based on the first current position relationship; determining a second plane passing through the current positions of the three second target sensors based on the second current position relationship; and calculating the included angle between the first plane and the second plane to obtain the torsion angle.

In some embodiments, the number of second target sensors is three, the amount of twist being the angle of twist; the second determination module 43 determines a torsion amount based on a geometric relationship between the first current positional relationship and the second current positional relationship, including: determining a third straight line passing through the current positions of the first target sensor and one of the second target sensors based on the first current position relation; determining a third plane passing through the current positions of the three second target sensors based on the second current position relationship; and calculating the included angle between the third straight line and the third plane to obtain the torsion angle.

In some embodiments, the number of second target sensors is at least three, the amount of twist being the angle of twist; the second determination module 43 determines a torsion amount based on a geometric relationship between the first current positional relationship and the second current positional relationship, including: determining a fourth plane passing through the first target sensor and the current positions of two of the second target sensors based on the first current position relationship; determining a fourth straight line passing through the current positions of two second target sensors based on the second current position relation; at least one of the two second target sensors corresponding to the fourth straight line is different from at least one of the two second target sensors corresponding to the fourth plane; and calculating the included angle between the fourth plane and the fourth straight line to obtain the torsion angle.

In some embodiments, the second determination module 43 determines the amount of torsion based on the change in position of the target sensor, including: determining the relative position change between at least part of adjacent target sensors respectively; determining the torsion quantity in a preset association relation by utilizing the change quantity of each relative position; the preset association relationship is used for representing the association relationship between the relative change amount and the torsion amount.

In some embodiments, the position change includes a displacement amount, the relative position change includes a relative change amount between the displacement amounts, and the first determining module 42 determines the position change for each sensor using the plurality of detection parameters, respectively, including: and acquiring the displacement of each sensor by using the detection parameters of each sensor.

In some embodiments, the detection parameters include a plurality of accelerations acquired in time series over a preset period of time; the first determining module 42 obtains the displacement amount of each sensor using the detection parameter of each sensor, including: and integrating the acceleration acquired by each sensor twice to obtain the displacement of each sensor.

In some embodiments, after determining the amount of torsion of the battery, the second determination module 43 is further configured to: comparing the torsion quantity with a first preset torsion quantity to obtain a comparison result; and executing preset early warning processing in response to the comparison result that the torsion amount is larger than or equal to the first preset torsion amount.

In some embodiments, after comparing the torsion amount with the first preset torsion amount, the second determining module 43 is further configured to: responding to the comparison result that the torsion amount is smaller than a first preset torsion amount, and judging whether the torsion damage amount of the battery is larger than or equal to the preset torsion damage amount; and executing preset early warning processing in response to the torsion damage amount of the battery being greater than or equal to the preset torsion damage amount.

In some embodiments, the second determining module 43 is further configured to, prior to determining whether the amount of torsional damage to the battery is greater than or equal to the preset amount of torsional damage: acquiring accumulated times of which the torsion amount is larger than or equal to a second preset torsion amount; determining torsion damage amount matched with the accumulated times in a preset damage curve based on the accumulated times; the damage curve is used for representing the association relation between the torsion damage amount and the accumulated times.

In some embodiments, the data acquisition module 41 acquires detection parameters acquired by sensors disposed at a plurality of locations on the battery, including: and acquiring detection parameters acquired by each sensor in real time in the same preset time period.

In some embodiments, the data acquisition module 41 acquires detection parameters acquired by sensors disposed at a plurality of locations on the battery, including: during the running process of the vehicle, detection parameters acquired in real time by sensors arranged at a plurality of positions on the battery are acquired.

Referring to fig. 9, fig. 9 is a schematic structural diagram of an electronic device according to some embodiments of the application. The electronic device 50 comprises a memory 51 and a processor 52, the processor 52 being adapted to execute program instructions stored in the memory 51 for implementing the steps of any of the battery torsion detection method embodiments described above. In one particular implementation scenario, electronic device 50 may include, but is not limited to: the electronic device 50 may also include a mobile device such as a notebook computer, a tablet computer, etc., which is not limited herein.

In particular, the processor 52 is configured to control itself and the memory 51 to implement the steps of any of the battery twist detection method embodiments described above. The processor 52 may also be referred to as a CPU (Central Processing Unit ). The processor 52 may be an integrated circuit chip having signal processing capabilities. Processor 52 may also be a general purpose processor, a digital signal processor (Digital Signal Processor, DSP), an application specific integrated circuit (Application Specific Integrated Circuit, ASIC), a Field programmable gate array (Field-Programmable Gate Array, FPGA) or other programmable logic device, discrete gate or transistor logic device, discrete hardware components. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. In addition, the processor 52 may be commonly implemented by an integrated circuit chip.

In the above-described configuration, the sensors are provided at a plurality of positions on the battery, and then the position change of the sensors is determined using the data detected by the sensors, and since the position change of the sensors is largely due to the torsion of the battery, the torsion amount of the battery can be determined using the position change of the sensors.

Referring to fig. 10, a computer readable storage medium 60 provided in this embodiment stores a program instruction 61 that can be executed by a processor, where the program instruction 61 is executed by the processor to implement the steps in any of the above embodiments of the battery torsion detection method.

The foregoing description of various embodiments is intended to highlight differences between the various embodiments, which may be the same or similar to each other by reference, and is not repeated herein for the sake of brevity.

In the several embodiments provided in the present application, it should be understood that the disclosed method and apparatus may be implemented in other manners. For example, the apparatus embodiments described above are merely illustrative, e.g., the division of modules or units is merely a logical functional division, and there may be additional divisions when actually implemented, e.g., the units or components may be combined or integrated into another subsystem, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical, or other forms.

In addition, each functional unit in the embodiments of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units. The integrated units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application may be embodied in essence or a part contributing to the prior art or all or part of the technical solution in the form of a software product stored in a storage medium, including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) or a processor (processor) to execute all or part of the steps of the methods of the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk, or an optical disk, or other various media capable of storing program codes.

Claims

1. A battery torsion detection method is characterized in that,

acquiring detection parameters acquired by sensors arranged at a plurality of positions on a battery;

determining the position change of each corresponding sensor by using a plurality of detection parameters;

determining a torsion amount of the battery based on the positional change of each of the sensors;

wherein the determining the amount of torsion of the battery based on the positional change of each of the sensors includes:

determining a target sensor based on the change in position of each of the sensors;

the amount of torsion is determined based on a change in position of the target sensor.

2. The battery torsion detection method according to claim 1, wherein the determining a target sensor based on a change in a position of each of the sensors includes:

comparing the position changes of the sensors, taking the sensor with the largest position change as a first target sensor, and taking at least two sensors with the smallest position change as second target sensors respectively;

the determining the amount of torsion based on the change in position of the target sensor includes:

the torsion amount is determined based on a positional relationship between the first target sensor and the second target sensor.

3. The battery torsion detection method according to claim 2, wherein the determining the torsion amount based on the positional relationship between the first target sensor and the second target sensor includes:

determining a current position of the first target sensor based on the position change of the first target sensor, and determining a current position of each second target sensor based on the position change of each second target sensor;

acquiring a first current position relationship between the first target sensor and at least one second target sensor based on the current positions of the first target sensor and each second target sensor, and acquiring a second current position relationship between at least two second target sensors;

the torsion amount is determined based on a geometric relationship between the first current positional relationship and the second current positional relationship.

4. The battery torsion detection method according to claim 3, wherein the torsion amount includes a torsion angle; the determining the torsion amount based on a geometric relationship between the first current positional relationship and the second current positional relationship includes:

Determining a first straight line passing through the current positions of the first target sensor and one of the second target sensors based on the first current position relation;

determining a second straight line passing through two of the second target sensors based on the second current position relationship;

and calculating an included angle between the first straight line and the second straight line to obtain the torsion angle.

5. The battery torsion detection method according to claim 3, wherein the number of the second target sensors is three, and the torsion amount is a torsion angle; the determining the torsion amount based on a geometric relationship between the first current positional relationship and the second current positional relationship includes:

determining a first plane passing through the current positions of the first target sensor and two of the second target sensors based on the first current position relationship;

determining a second plane passing through the current positions of the three second target sensors based on the second current position relation;

and calculating an included angle between the first plane and the second plane to obtain the torsion angle.

6. The battery torsion detection method according to claim 3, wherein the number of the second target sensors is three, and the torsion amount is a torsion angle; the determining the torsion amount based on a geometric relationship between the first current positional relationship and the second current positional relationship includes:

Determining a third straight line passing through the current positions of the first target sensor and one of the second target sensors based on the first current position relation;

determining a third plane passing through the current positions of the three second target sensors based on the second current position relation;

and calculating an included angle between the third straight line and the third plane to obtain the torsion angle.

7. The battery torsion detection method according to claim 3, wherein the number of the second target sensors is at least three, and the torsion amount is a torsion angle; the determining the torsion amount based on a geometric relationship between the first current positional relationship and the second current positional relationship includes:

determining a fourth plane passing through the current positions of the first target sensor and two of the second target sensors based on the first current position relationship;

determining a fourth straight line passing through the current positions of two second target sensors based on the second current position relation; at least one of the two second target sensors corresponding to the fourth line and at least one of the two second target sensors corresponding to the fourth plane are different;

And calculating an included angle between the fourth plane and the fourth straight line to obtain the torsion angle.

8. The battery torsion detection method according to any one of claims 1 to 7, wherein the determining the torsion amount based on the position change of the target sensor includes:

determining the relative position change between at least part of adjacent target sensors respectively;

determining the torsion quantity in a preset association relation by utilizing the relative position change quantity; the preset association relationship is used for representing the association relationship between the relative position change amount and the torsion amount.

9. The battery torsion detection method according to claim 8, wherein the positional change includes a displacement amount, the relative positional change amount includes a relative change amount between displacement amounts, and the determining the positional change for each of the sensors using the plurality of detection parameters, respectively, includes:

and acquiring the displacement of each sensor by using the detection parameters of each sensor.

10. The battery torsion detection method according to claim 9, wherein the detection parameter includes a plurality of accelerations acquired in time series over a preset period of time; the obtaining the displacement amount of each sensor by using the detection parameter of each sensor includes:

And integrating the acceleration acquired by each sensor twice to obtain the displacement of each sensor.

11. The method according to any one of claims 1 to 7, wherein after the determination of the amount of torsion of the battery, the battery torsion detection method further comprises:

comparing the torsion amount with a first preset torsion amount to obtain a comparison result;

and executing preset early warning processing in response to the comparison result that the torsion amount is larger than or equal to the first preset torsion amount.

12. The battery torsion detection method according to claim 11, wherein after comparing the torsion amount with a first preset torsion amount, the battery torsion detection method further comprises:

responding to the comparison result that the torsion amount is smaller than the first preset torsion amount, and judging whether the torsion damage amount of the battery is larger than or equal to the preset torsion damage amount;

and responding to the torsion damage amount of the battery to be larger than or equal to the preset torsion damage amount, and executing the preset early warning treatment.

13. The battery torsion detection method according to claim 12, wherein before the determination as to whether the amount of torsion damage of the battery is greater than or equal to a preset amount of torsion damage, the battery torsion detection method further comprises:

Acquiring accumulated times of the torsion quantity which is larger than or equal to a second preset torsion quantity;

determining the torsion damage amount matched with the accumulated times in a preset damage curve based on the accumulated times; the damage curve is used for representing the association relation between the torsion damage amount and the accumulated times.

14. The battery torsion detection method according to any one of claims 1 to 7, wherein the acquisition of detection parameters acquired by sensors provided at a plurality of positions on the battery includes:

and acquiring the detection parameters acquired by the sensors in real time in the same preset time period.

15. The battery torsion detection method according to any one of claims 1 to 7, wherein the acquisition of detection parameters acquired by sensors provided at a plurality of positions on the battery includes:

during the running process of the vehicle, detection parameters acquired in real time by sensors arranged at a plurality of positions on the battery are acquired.

16. A battery torsion detection device, characterized by comprising:

the data acquisition module is used for acquiring detection parameters acquired by sensors arranged at a plurality of positions on the battery;

the first determining module is used for determining the position change of each corresponding sensor by utilizing a plurality of detection parameters;

A second determining module for determining a torsion amount of the battery based on a change in position of each of the sensors;

wherein the second determining module is configured to determine a torsion amount of the battery based on a change in a position of each of the sensors, and includes:

17. A battery comprising a controller and sensors disposed at a plurality of locations, the controller being coupled to each of the sensors for implementing the battery torsion detection method of any one of claims 1-15.

18. The battery of claim 17, wherein the battery comprises a battery body and a battery case for housing the battery body, the plurality of sensors being disposed at a plurality of corner locations on a bottom of the battery case.

19. The power utilization device is characterized by comprising a battery, a controller and sensors arranged at a plurality of positions of the battery, wherein the controller is electrically connected with the sensors; wherein the controller is configured to perform the battery torsion detection method according to any one of claims 1 to 15.

20. The electrical device of claim 19, wherein the controller comprises one of a BMS system and a VCU.

21. An electronic device comprising a memory and a processor for executing program instructions stored on the memory to implement the battery twist detection method of any one of the preceding claims 1-15.

22. A computer readable storage medium having stored thereon program instructions, which when executed by a processor, implement the battery torsion detection method of any one of claims 1 to 15.