CN113093015A - Battery life estimation method and device, battery management system, automobile and medium - Google Patents
Battery life estimation method and device, battery management system, automobile and medium Download PDFInfo
- Publication number
- CN113093015A CN113093015A CN202110363539.3A CN202110363539A CN113093015A CN 113093015 A CN113093015 A CN 113093015A CN 202110363539 A CN202110363539 A CN 202110363539A CN 113093015 A CN113093015 A CN 113093015A
- Authority
- CN
- China
- Prior art keywords
- battery
- discharge
- life
- charge
- temperature
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Images
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
- G01R31/392—Determining battery ageing or deterioration, e.g. state of health
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L50/00—Electric propulsion with power supplied within the vehicle
- B60L50/50—Electric propulsion with power supplied within the vehicle using propulsion power supplied by batteries or fuel cells
- B60L50/60—Electric propulsion with power supplied within the vehicle using propulsion power supplied by batteries or fuel cells using power supplied by batteries
- B60L50/64—Constructional details of batteries specially adapted for electric vehicles
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
- G01R31/367—Software therefor, e.g. for battery testing using modelling or look-up tables
-
- H—ELECTRICITY
- H01—ELECTRIC ELEMENTS
- H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
- H01M10/00—Secondary cells; Manufacture thereof
- H01M10/42—Methods or arrangements for servicing or maintenance of secondary cells or secondary half-cells
- H01M10/4285—Testing apparatus
-
- H—ELECTRICITY
- H01—ELECTRIC ELEMENTS
- H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
- H01M10/00—Secondary cells; Manufacture thereof
- H01M10/42—Methods or arrangements for servicing or maintenance of secondary cells or secondary half-cells
- H01M10/425—Structural combination with electronic components, e.g. electronic circuits integrated to the outside of the casing
- H01M2010/4271—Battery management systems including electronic circuits, e.g. control of current or voltage to keep battery in healthy state, cell balancing
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
- Y02E60/10—Energy storage using batteries
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T10/00—Road transport of goods or passengers
- Y02T10/60—Other road transportation technologies with climate change mitigation effect
- Y02T10/70—Energy storage systems for electromobility, e.g. batteries
Landscapes
- Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Physics & Mathematics (AREA)
- Electrochemistry (AREA)
- Chemical Kinetics & Catalysis (AREA)
- General Chemical & Material Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Sustainable Development (AREA)
- Sustainable Energy (AREA)
- Power Engineering (AREA)
- Transportation (AREA)
- Mechanical Engineering (AREA)
- Chemical & Material Sciences (AREA)
- Manufacturing & Machinery (AREA)
- Secondary Cells (AREA)
- Charge And Discharge Circuits For Batteries Or The Like (AREA)
Abstract
The embodiment of the invention discloses a method and a device for estimating the service life of a battery, a battery management system, an automobile and a medium. The battery life estimation method comprises the following steps: acquiring a pressure parameter influencing the remaining service life of the battery in the charge-discharge cycle of the battery; the pressure parameters include current, temperature, and remaining charge value of the battery; determining the type of the pressure factors which influence the service life of the battery and belong to the current charge-discharge cycle according to the pressure parameters; the types of the pressure factors influencing the service life of the battery comprise at least one of conventional charge and discharge, high-temperature conventional charge and discharge, low-temperature conventional charge and discharge, normal-temperature large-current charge and discharge and transitional discharge; determining the capacity change of the battery in the current charge-discharge cycle according to a single-exponential life empirical model corresponding to the determined type of the pressure factor influencing the battery life; the remaining life of the battery is estimated based on the change in the capacity of the battery. The technical scheme of the embodiment of the invention realizes more accurate estimation of the residual service life of the battery, and the method is simple.
Description
Technical Field
The embodiment of the invention relates to the technical field of energy automobiles, in particular to a method and a device for estimating the service life of a battery, a battery management system, an automobile and a medium.
Background
The remaining useful life of a power cell is the number of cycles that the maximum available capacity of the power cell needs to undergo to decay to a specified failure threshold under a given charge-discharge regime. The residual service life of the battery is a process of predicting and calculating the residual service life of the power battery by using a certain mathematical means based on historical data of the power battery.
With the increase of the charging and discharging cycle times of the power battery, some irreversible chemical reactions often occur inside the power battery, so that the internal resistance is increased, and the maximum available capacity, energy and peak power capacity are reduced, thereby greatly shortening the driving range of the electric automobile and even possibly bringing about potential safety hazards.
The reliable estimation of the residual battery life can fully solve the problems of uncertain mileage anxiety of the user on the residual driving range and worry about potential safety hazards, ensure the safe and efficient operation of the power battery pack, greatly improve the safety and reliability of the electric automobile in the driving process, reduce the failure rate and the operation cost and improve the user experience. Therefore, how to accurately estimate the remaining service life of the battery becomes a technical problem to be solved at present.
Disclosure of Invention
The embodiment of the invention provides a method and a device for estimating the service life of a battery, a battery management system, an automobile and a medium, so that the residual service life of the battery can be estimated more accurately, and the method is simple.
In a first aspect, an embodiment of the present invention provides a battery life estimation method, where the battery life estimation method includes:
acquiring a pressure parameter influencing the remaining service life of the battery in the charge-discharge cycle of the battery; the pressure parameters include current, temperature, and remaining charge value of the battery;
determining the type of the pressure factor which affects the service life of the battery and belongs to the current charge-discharge cycle according to the pressure parameter; the pressure factor type influencing the service life of the battery comprises at least one of conventional charge and discharge, high-temperature conventional charge and discharge, low-temperature conventional charge and discharge, normal-temperature large-current charge and discharge and transitional discharge;
determining the capacity change of the battery in the charge-discharge cycle according to a single-exponential life empirical model corresponding to the determined pressure factor type influencing the battery life;
estimating a remaining life of the battery based on the change in the capacity of the battery.
Optionally, the single-index life empirical model corresponding to the conventional charging and discharging is a conventional charging and discharging single-index life empirical model;
the single-index life experience model corresponding to the high-temperature conventional charge and discharge is a high-temperature conventional charge and discharge single-index life experience model;
the single-index life experience model corresponding to the low-temperature conventional charging and discharging is a low-temperature conventional charging and discharging single-index life experience model;
the single-index life experience model corresponding to normal-temperature large-current charging and discharging is a normal-temperature large-current charging and discharging single-index life experience model;
the single-exponential life empirical model corresponding to the transition discharge is a transition discharge single-exponential life empirical model.
Optionally, the conventional charging and discharging includes that the current of the battery in the charging and discharging process is less than 25A, and the temperature of the battery in the charging and discharging process is less than 45 ℃ and greater than 5 ℃;
the high-temperature conventional charging and discharging comprises that the current of the battery in the charging and discharging process is less than 25A, and the temperature of the battery in the charging and discharging process is more than or equal to 45 ℃;
the low-temperature conventional charging and discharging comprises that the current of the battery in the charging and discharging process is less than 25A, and the temperature of the battery in the charging and discharging process is less than or equal to 5 ℃;
the normal-temperature large-current charging and discharging comprises that the current of the battery in the charging and discharging process is more than or equal to 25A, and the temperature of the battery in the charging and discharging process is less than 45 ℃ and more than 5 ℃;
the transitional discharge comprises that the residual electric quantity value of the battery is less than or equal to 20% in the charging and discharging process of the battery.
Optionally, before obtaining a pressure parameter that affects the remaining service life of the battery in the current battery charge-discharge cycle, the method further includes:
respectively establishing a conventional charge-discharge single-index life experience model of conventional charge-discharge, a high-temperature conventional charge-discharge single-index life experience model of high-temperature conventional charge-discharge, a low-temperature conventional charge-discharge single-index life experience model of low-temperature conventional charge-discharge, a normal-temperature large-current charge-discharge single-index life experience model of normal-temperature large-current charge-discharge and a transition-discharge single-index life experience model of transition discharge.
Optionally, estimating the remaining life of the battery based on the capacity change of the battery includes:
acquiring the maximum residual capacity of the battery based on the capacity change of the battery;
and determining the residual cycle number of the battery according to the capacity-cycle number curve and the maximum residual capacity, and taking the residual cycle number as the residual life of the battery.
Optionally, before obtaining a pressure parameter that affects the remaining service life of the battery in the current battery charge-discharge cycle, the method further includes:
and fitting the capacity-cycle number curve according to a battery offline aging test.
In a second aspect, an embodiment of the present invention further provides a battery life estimation apparatus, where the battery life estimation apparatus includes:
the acquisition module is used for acquiring pressure parameters influencing the residual service life of the battery in the charge-discharge cycle of the battery; the pressure parameters include current, temperature, and remaining charge value of the battery;
the type determining module is used for determining the type of the pressure factor which affects the service life of the battery and belongs to the current charge-discharge cycle according to the pressure parameter; the pressure factor type influencing the service life of the battery comprises at least one of conventional charge and discharge, high-temperature conventional charge and discharge, low-temperature conventional charge and discharge, normal-temperature large-current charge and discharge and transitional discharge;
the capacity change determining module is used for determining the capacity change of the battery in the charge and discharge cycle according to the single-index life empirical model corresponding to the determined pressure factor type influencing the service life of the battery;
an estimation module to estimate a remaining battery life based on a change in capacity of the battery.
In a third aspect, an embodiment of the present invention further provides a battery management system, where the battery management system includes:
one or more processors;
a memory for storing one or more programs;
when executed by the one or more processors, cause the one or more processors to implement the battery life estimation method provided by any of the embodiments of the invention.
In a fourth aspect, an embodiment of the present invention further provides an automobile, where the automobile includes the battery management system provided in the embodiment of the present invention.
In a fifth aspect, the embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the battery life estimation method provided in any embodiment of the present invention.
According to the technical scheme provided by the embodiment of the invention, the pressure factors influencing the service life of the battery are divided into five types, namely conventional charge and discharge, high-temperature conventional charge and discharge, low-temperature conventional charge and discharge, normal-temperature large-current charge and discharge and transitional discharge, then the type of the pressure factors influencing the service life of the battery to which the cycle belongs is determined according to the pressure parameters of one complete charge and discharge cycle each time, then the accumulated influence of the capacity change of the battery caused by each type in the cycle is determined according to a single-exponential life empirical model corresponding to the determined type of the pressure factors influencing the service life of the battery, and the residual service life of the battery is estimated based on. The method comprehensively considers the pressure factors influencing the service life of the battery, can accurately estimate the residual service life of the battery, and has the characteristics of simple method, less calculation amount and suitability for the actual vehicle running environment.
Drawings
Fig. 1 is a flowchart of a method for estimating a battery life according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of a battery life estimation apparatus according to a second embodiment of the present invention;
fig. 3 is a schematic structural diagram of a battery management system according to a third embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting of the invention. It should be further noted that, for the convenience of description, only some of the structures related to the present invention are shown in the drawings, not all of the structures.
Example one
Fig. 1 is a flowchart of a method for estimating a battery life according to an embodiment of the present invention, which is applicable to estimating a remaining service life of a battery. The method may be performed by a battery life estimation apparatus provided in an embodiment of the present invention, which may be implemented in software and/or hardware, and may be integrated on a battery management system.
Referring to fig. 1, a battery life estimation method according to an embodiment of the present invention includes the following steps:
s110, acquiring a pressure parameter influencing the residual service life of the battery in the current battery charge-discharge cycle; the pressure parameters include current, temperature, and remaining charge value of the battery.
Among the pressure factors affecting the life of the battery are mainly the current, the temperature, and the remaining electric quantity value of the battery. When the battery is charged and discharged, the service life of the battery is influenced by overhigh or overhigh temperature; and/or, excessive current can also affect battery life; and/or if the remaining amount of the battery is too low, for example 20%, the charging and discharging of the battery may also have an impact on the life of the battery.
For example, the temperature of the battery in the present complete charge-discharge cycle may be obtained in real time by a temperature sensor; for example, the current of the battery in the current complete charge-discharge cycle can be acquired through the current sensor embodiment; the remaining electric quantity value of the battery can be acquired in real time by the battery management system, for example. And storing the temperature, the current and the residual electric quantity value of the battery which are acquired in real time in a storage module until the charge-discharge cycle of the battery is finished, namely acquiring the complete charge-discharge cycle data of the battery.
S120, determining the type of the pressure factor which affects the service life of the battery and belongs to the current charge-discharge cycle according to the pressure parameter; the types of the pressure factors influencing the service life of the battery comprise at least one of conventional charge and discharge, high-temperature conventional charge and discharge, low-temperature conventional charge and discharge, normal-temperature large-current charge and discharge and transitional discharge.
The pressure factors influencing the service life of the battery are divided into five types, namely conventional charge and discharge, high-temperature conventional charge and discharge, low-temperature conventional charge and discharge, normal-temperature large-current charge and discharge and transitional discharge, and the five types are stored in the storage module. Determining which of the five types the charge-discharge cycle belongs to based on the current, the temperature and the residual electric quantity value of the battery in the complete cycle acquired in the step S110, wherein the type of the charge-discharge cycle belongs to may be one; there may be a plurality of them.
Optionally, the conventional charging and discharging includes that the current of the battery in the charging and discharging process is less than 25A, and the temperature of the battery in the charging and discharging process is less than 45 ℃ and greater than 5 ℃; the high-temperature conventional charge and discharge comprises that the current of the battery in the charge and discharge process is less than 25A and the temperature of the battery in the charge and discharge process is more than or equal to 45 ℃; the low-temperature conventional charging and discharging comprises that the current of the battery in the charging and discharging process is less than 25A and the temperature of the battery in the charging and discharging process is less than or equal to 5 ℃; the normal-temperature large-current charging and discharging comprises that the current of the battery in the charging and discharging process is more than or equal to 25A, and the temperature of the battery in the charging and discharging process is less than 45 ℃ and more than 5 ℃; the transitional discharge comprises that the residual electric quantity value of the battery is less than or equal to 20 percent in the charging and discharging process of the battery.
That is, when the temperature of the battery is between 5 ℃ and 45 ℃ and the current is less than 25A during the charging and discharging process, the type of the charging and discharging cycle of the battery is the conventional charging and discharging. In the charging and discharging process of the battery, when the collected temperature is higher than or equal to 45 ℃ and the current is less than 25A, the type of the charging and discharging cycle of the battery is high-temperature conventional charging and discharging. In the charging and discharging process of the battery, when the collected temperature is less than or equal to 5 ℃ and the current is less than 25A, the type of the charging and discharging cycle of the battery is low-temperature conventional charging and discharging. In the charging and discharging process of the battery, when the collected temperature is less than or equal to 5 ℃ and the current is less than 25A, the type of the charging and discharging cycle of the battery is low-temperature conventional charging and discharging. In the charging and discharging process of the battery, when the collected residual electric quantity value of the battery is less than or equal to 20%, the type of the charging and discharging cycle of the battery is transitional discharging.
Illustratively, in the complete charge-discharge cycle, the collected current is 30A, the temperature is 50 ℃, and the residual electric quantity value of the battery is 15%, so that the types of the pressure factors influencing the service life of the battery, belonging to the charge-discharge cycle, can be determined to be three types, namely high-temperature conventional charge-discharge, normal-temperature large-current charge-discharge and transitional discharge.
Illustratively, in the complete charge and discharge cycle, the collected current is 22A, the temperature is 30 ℃, and the residual electric quantity value of the battery is 15%, so that it can be determined that the type of the pressure factor affecting the service life of the battery to which the charge and discharge cycle belongs is one type of the transient discharge.
And S130, determining the capacity change of the battery in the charge-discharge cycle according to the single-exponential life empirical model corresponding to the determined pressure factor type influencing the battery life.
Each type of pressure factor affecting the battery life corresponds to a single exponential life experience module. Based on the determined type of the pressure factor affecting the service life of the battery, the variation of the capacity of the battery in the charge-discharge cycle can be determined according to a single-exponential life empirical model corresponding to the type of the pressure factor affecting the service life of the battery.
Each of these types of stress factors affecting battery life causes a change in battery capacity.
For example, when the type of the pressure factor affecting the battery life of the charge-discharge cycle is one type, the capacity change of the battery in the charge-discharge cycle can be determined according to a single-exponential life empirical model corresponding to the type.
Illustratively, when the types of the pressure factors affecting the battery life of the charge-discharge cycle are multiple types, for example, three types, such as high-temperature conventional charge-discharge, normal-temperature large-current charge-discharge and transitional discharge, the variation of the battery capacity is determined according to the single-index life experience module corresponding to the high-temperature conventional charge-discharge, the variation of the battery capacity is determined according to the single-index life experience module corresponding to the normal-temperature large-current charge-discharge, and the variation of the battery capacity is determined according to the single-index life experience module corresponding to the transitional discharge, where the variation of the three battery capacities is the capacity variation of the charge-discharge cycle battery.
Optionally, the single-index life experience model corresponding to the conventional charging and discharging is a conventional charging and discharging single-index life experience model; the single-index life experience model corresponding to the high-temperature conventional charge and discharge is a high-temperature conventional charge and discharge single-index life experience model; the single-index life experience model corresponding to the low-temperature conventional charging and discharging is a low-temperature conventional charging and discharging single-index life experience model; the single-index life experience model corresponding to normal-temperature large-current charging and discharging is a normal-temperature large-current charging and discharging single-index life experience model; the single-exponential life empirical model corresponding to the transition discharge is the single-exponential life empirical model of the transition discharge.
Optionally, before obtaining a pressure parameter that affects the remaining service life of the battery in the current battery charge-discharge cycle, the method further includes: respectively establishing a conventional charge-discharge single-index life experience model of conventional charge-discharge, a high-temperature conventional charge-discharge single-index life experience model of high-temperature conventional charge-discharge, a low-temperature conventional charge-discharge single-index life experience model of low-temperature conventional charge-discharge, a normal-temperature large-current charge-discharge single-index life experience model of normal-temperature large-current charge-discharge and a transition-discharge single-index life experience model of transition discharge.
The pressure factors influencing the service life of the battery are divided into five types, namely conventional charge and discharge, high-temperature conventional charge and discharge, low-temperature conventional charge and discharge, normal-temperature large-current charge and discharge and transitional discharge. Then, determining the influence of a single factor (low temperature, current or battery power) on the capacity change of the battery, namely the corresponding relation (conventional charge-discharge single-exponential life empirical model) of the influence of the conventional temperature and the conventional current on the capacity change of the battery, for example, in an off-line aging test fitting mode; the corresponding relation of the influence of high temperature on the capacity change of the battery (high-temperature conventional charge-discharge single-index life empirical model); the corresponding relation of the influence of low temperature on the capacity change of the battery (a low-temperature conventional charge-discharge single-exponential life empirical model); the corresponding relation of the influence of the large current on the capacity change of the battery (normal-temperature large-current charge-discharge single-index life empirical model); the corresponding relationship of the influence of low charge on the change in capacity of the battery (transient discharge single exponential life empirical model). The above correspondence may be, for example, an empirical formula, and the present embodiment is not limited thereto.
And S140, estimating the residual life of the battery based on the capacity change of the battery.
For example, the remaining life of the battery can be determined by subtracting the change in the capacity of the battery caused by the current cycle from the remaining life of the battery in the last charge-discharge cycle.
Optionally, estimating the remaining life of the battery based on the change in the capacity of the battery includes:
acquiring the maximum residual capacity of the battery based on the capacity change of the battery;
and determining the residual cycle number of the battery according to the capacity-cycle number curve and the maximum residual capacity, and taking the residual cycle number as the residual life of the battery.
Illustratively, when the types of the pressure factors which influence the service life of the battery and belong to the charge-discharge cycle are various, the maximum residual capacity of the battery is estimated by utilizing the cumulative effect of the various types on the maximum residual capacity of the battery; the maximum remaining capacity of the battery can also be estimated by subtracting the capacity variation value of each type of battery from the maximum remaining capacity of the battery in the last charge-discharge cycle. And then determining the residual cycle number of the battery according to the capacity-cycle number curve and the maximum residual capacity, and taking the residual cycle number as the residual life of the battery.
On the basis of the above scheme, optionally, before obtaining the pressure parameter that affects the remaining service life of the battery in the current battery charge-discharge cycle, the method further includes: and fitting a capacity-cycle number curve according to the battery offline aging test. Namely, the corresponding relation between the maximum capacity of the battery and the cycle number is obtained, and after the maximum residual capacity of the battery is determined, the residual cycle number of the battery can be determined according to the corresponding relation.
According to the technical scheme provided by the embodiment of the invention, the pressure factors influencing the service life of the battery are divided into five types, namely conventional charge and discharge, high-temperature conventional charge and discharge, low-temperature conventional charge and discharge, normal-temperature large-current charge and discharge and transitional discharge, then the type of the pressure factors influencing the service life of the battery to which the cycle belongs is determined according to the pressure parameters of one complete charge and discharge cycle each time, then the accumulated influence of the capacity change of the battery caused by each type in the cycle is determined according to a single-exponential life empirical model corresponding to the determined type of the pressure factors influencing the service life of the battery, and the residual service life of the battery is estimated based on. The method comprehensively considers the pressure factors influencing the service life of the battery, can accurately estimate the residual service life of the battery, and has the characteristics of simple method, less calculation amount and suitability for the actual vehicle running environment.
Example two
Fig. 2 is a schematic structural diagram of a battery life estimation apparatus according to a second embodiment of the present invention, which is used for executing the battery life estimation method according to any of the above embodiments. The device and the method for estimating battery life of the embodiments belong to the same inventive concept, and details which are not described in detail in the embodiments of the device for estimating battery life can refer to the embodiments of the method for estimating battery life. Referring to fig. 2, the apparatus may specifically include: an acquisition module 210, a type determination module 220, a capacity change determination module 230, and an estimation module 240.
The obtaining module 210 is configured to obtain a pressure parameter that affects the remaining service life of the battery in the current charge and discharge cycle of the battery; the pressure parameters include current, temperature, and remaining charge value of the battery;
the type determining module 220 is configured to determine a type of a pressure factor affecting the battery life to which the current charge-discharge cycle belongs according to the pressure parameter; the types of the pressure factors influencing the service life of the battery comprise at least one of conventional charge and discharge, high-temperature conventional charge and discharge, low-temperature conventional charge and discharge, normal-temperature large-current charge and discharge and transitional discharge.
The capacity change determining module 230 is configured to determine, according to a single-exponential life empirical model corresponding to the determined type of the pressure factor affecting the life of the battery, a capacity change of the battery in the current charge-discharge cycle;
an estimation module 240 for estimating the remaining life of the battery based on the change in capacity of the battery.
Optionally, the device for estimating battery life provided in the embodiment of the present invention further includes:
the establishing module is used for respectively establishing a high-temperature conventional charge-discharge single-index life experience model of conventional charge-discharge, a high-temperature conventional charge-discharge single-index life experience model of high-temperature conventional charge-discharge, a low-temperature conventional charge-discharge single-index life experience model of low-temperature conventional charge-discharge, a normal-temperature large-current charge-discharge single-index life experience model of normal-temperature large-current charge-discharge and a transition-discharge single-index life experience model of transition discharge.
Optionally, the estimation module 240 may specifically include:
an acquisition unit configured to acquire a maximum remaining capacity of the battery based on a capacity variation of the battery;
and the estimation unit is used for determining the residual cycle number of the battery according to the capacity-cycle number curve and the maximum residual capacity and taking the residual cycle number as the residual life of the battery.
On the basis of the foregoing solution, optionally, the battery life estimation apparatus provided in the embodiment of the present invention further includes:
and the fitting module is used for fitting a capacity-cycle number curve according to the battery offline aging test.
According to the battery life estimation device provided by the embodiment II of the invention, pressure factors influencing the battery life are divided into five types, namely conventional charge and discharge, high-temperature conventional charge and discharge, low-temperature conventional charge and discharge, normal-temperature large-current charge and discharge and transitional discharge, and the pressure parameters of one complete charge and discharge cycle at each time are obtained through the obtaining module; the type determining module determines the type of the pressure factor affecting the service life of the battery to which the cycle belongs; the capacity change determining module determines the capacity change cumulant of the battery caused by each type in the cycle according to the single exponential life empirical model corresponding to the determined type of the pressure factor influencing the service life of the battery; the estimation module estimates a remaining useful life of the battery based on the capacity variation influence. The device comprehensively considers the pressure factors influencing the service life of the battery, can accurately estimate the residual service life of the battery, and has the characteristics of simple method, less calculation amount and suitability for the running environment of a real vehicle.
The battery life estimation device provided by the embodiment of the invention can execute the battery life estimation method provided by any embodiment of the invention, and has corresponding functional modules and beneficial effects of the execution method.
It should be noted that, in the embodiment of the battery life estimation apparatus, the units and modules included in the embodiment are only divided according to functional logic, but are not limited to the above division as long as the corresponding functions can be implemented; in addition, specific names of the functional units are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present invention.
EXAMPLE III
Fig. 3 is a schematic structural diagram of a battery management system according to a third embodiment of the present invention, and as shown in fig. 3, the battery management system includes a memory 310, a processor 320, an input device 330, and an output device 340. The number of the processors 320 in the server may be one or more, and one processor 320 is taken as an example in fig. 3; the memory 310, processor 320, input device 330, and output device 340 in the server may be connected by a bus or other means, such as by bus 350 in fig. 3.
The memory 310, which is a computer-readable storage medium, may be used for storing software programs, computer-executable programs, and modules, such as program instructions/modules corresponding to the battery life estimation method in the embodiment of the present invention (for example, the obtaining module 210, the type determining module 220, the capacity change determining module 230, and the estimating module 240 in the battery life estimation apparatus). The processor 320 executes various functional applications of the server and data processing by executing software programs, instructions and modules stored in the memory 310, so as to implement the above-mentioned battery life estimation method.
The memory 310 may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application program required for at least one function; the storage data area may store data created according to the use of the server, and the like. Further, the memory 310 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid state storage device. In some examples, memory 310 may further include memory located remotely from processor 320, which may be connected to devices through a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The input device 330 may be used to receive input numeric or character information and generate key signal inputs related to user settings and function controls of the device. The output device 340 may include a display device such as a display screen.
Example four
The fourth embodiment of the invention provides an automobile, which comprises the battery management system provided by the fourth embodiment. Therefore, the vehicle also has the advantages of the battery management system in the above embodiment, and the same points can be understood by referring to the explanation of the battery management system above.
EXAMPLE five
An embodiment of the present invention provides a storage medium containing computer-executable instructions, which when executed by a computer processor, perform a method for battery life estimation, the method including:
acquiring a pressure parameter influencing the remaining service life of the battery in the charge-discharge cycle of the battery; the pressure parameters include current, temperature, and remaining charge value of the battery;
determining the type of the pressure factors which influence the service life of the battery and belong to the current charge-discharge cycle according to the pressure parameters; the types of the pressure factors influencing the service life of the battery comprise at least one of conventional charge and discharge, high-temperature conventional charge and discharge, low-temperature conventional charge and discharge, normal-temperature large-current charge and discharge and transitional discharge;
determining the capacity change of the battery in the current charge-discharge cycle according to a single-exponential life empirical model corresponding to the determined type of the pressure factor influencing the battery life;
the remaining life of the battery is estimated based on the change in the capacity of the battery.
Of course, the storage medium containing the computer-executable instructions provided by the embodiments of the present invention is not limited to the method operations described above, and may also perform related operations in the battery life estimation method provided by any embodiments of the present invention.
From the above description of the embodiments, it is obvious for those skilled in the art that the present invention can be implemented by software and necessary general hardware, and certainly, can also be implemented by hardware, but the former is a better embodiment in many cases. With this understanding, the technical solutions of the present invention may be embodied in the form of a software product, which can be stored in a computer-readable storage medium, such as a floppy disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a FLASH Memory (FLASH), a hard disk or an optical disk of a computer, and includes instructions for enabling a computer device (which may be a personal computer, a server, or a network device) to execute the methods according to the embodiments of the present invention.
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.
Claims (10)
1. A method for estimating battery life, comprising:
acquiring a pressure parameter influencing the remaining service life of the battery in the charge-discharge cycle of the battery; the pressure parameters include current, temperature, and remaining charge value of the battery;
determining the type of the pressure factor which affects the service life of the battery and belongs to the current charge-discharge cycle according to the pressure parameter; the pressure factor type influencing the service life of the battery comprises at least one of conventional charge and discharge, high-temperature conventional charge and discharge, low-temperature conventional charge and discharge, normal-temperature large-current charge and discharge and transitional discharge;
determining the capacity change of the battery in the charge-discharge cycle according to a single-exponential life empirical model corresponding to the determined pressure factor type influencing the battery life;
estimating a remaining life of the battery based on the change in the capacity of the battery.
2. The method for estimating battery life according to claim 1, wherein the single-exponential life empirical model corresponding to the conventional charge and discharge is a conventional charge and discharge single-exponential life empirical model;
the single-index life experience model corresponding to the high-temperature conventional charge and discharge is a high-temperature conventional charge and discharge single-index life experience model;
the single-index life experience model corresponding to the low-temperature conventional charging and discharging is a low-temperature conventional charging and discharging single-index life experience model;
the single-index life experience model corresponding to normal-temperature large-current charging and discharging is a normal-temperature large-current charging and discharging single-index life experience model;
the single-exponential life empirical model corresponding to the transition discharge is a transition discharge single-exponential life empirical model.
3. The battery life estimation method according to claim 2, wherein the normal charging and discharging includes that the current of the battery during the charging and discharging process is less than 25A and the temperature of the battery during the charging and discharging process is less than 45 ℃ and more than 5 ℃;
the high-temperature conventional charging and discharging comprises that the current of the battery in the charging and discharging process is less than 25A, and the temperature of the battery in the charging and discharging process is more than or equal to 45 ℃;
the low-temperature conventional charging and discharging comprises that the current of the battery in the charging and discharging process is less than 25A, and the temperature of the battery in the charging and discharging process is less than or equal to 5 ℃;
the normal-temperature large-current charging and discharging comprises that the current of the battery in the charging and discharging process is more than or equal to 25A, and the temperature of the battery in the charging and discharging process is less than 45 ℃ and more than 5 ℃;
the transitional discharge comprises that the residual electric quantity value of the battery is less than or equal to 20% in the charging and discharging process of the battery.
4. The method for estimating battery life according to claim 2, wherein before obtaining the pressure parameter affecting the remaining service life of the battery in the current charge-discharge cycle of the battery, the method further comprises:
respectively establishing a conventional charge-discharge single-index life experience model of conventional charge-discharge, a high-temperature conventional charge-discharge single-index life experience model of high-temperature conventional charge-discharge, a low-temperature conventional charge-discharge single-index life experience model of low-temperature conventional charge-discharge, a normal-temperature large-current charge-discharge single-index life experience model of normal-temperature large-current charge-discharge and a transition-discharge single-index life experience model of transition discharge.
5. The battery life estimation method according to claim 1, wherein estimating the remaining battery life based on the change in the capacity of the battery includes:
acquiring the maximum residual capacity of the battery based on the capacity change of the battery;
and determining the residual cycle number of the battery according to the capacity-cycle number curve and the maximum residual capacity, and taking the residual cycle number as the residual life of the battery.
6. The method for estimating battery life according to claim 5, wherein before obtaining the pressure parameter affecting the remaining service life of the battery in the current charge-discharge cycle of the battery, the method further comprises:
and fitting the capacity-cycle number curve according to a battery offline aging test.
7. A battery life estimation device, comprising:
the acquisition module is used for acquiring pressure parameters influencing the residual service life of the battery in the charge-discharge cycle of the battery; the pressure parameters include current, temperature, and remaining charge value of the battery;
the type determining module is used for determining the type of the pressure factor which affects the service life of the battery and belongs to the current charge-discharge cycle according to the pressure parameter; the pressure factor type influencing the service life of the battery comprises at least one of conventional charge and discharge, high-temperature conventional charge and discharge, low-temperature conventional charge and discharge, normal-temperature large-current charge and discharge and transitional discharge;
the capacity change determining module is used for determining the capacity change of the battery in the charge and discharge cycle according to the single-index life empirical model corresponding to the determined pressure factor type influencing the service life of the battery;
an estimation module to estimate a remaining battery life based on a change in capacity of the battery.
8. A battery management system, characterized in that the battery management system comprises:
one or more processors;
a memory for storing one or more programs;
when executed by the one or more processors, cause the one or more processors to implement the battery life estimation method of any of claims 1-6.
9. An automobile, comprising: the battery management system of claim 8.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the battery life estimation method according to any one of claims 1 to 6.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110363539.3A CN113093015B (en) | 2021-04-02 | 2021-04-02 | Battery life estimation method, device, battery management system, automobile and medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110363539.3A CN113093015B (en) | 2021-04-02 | 2021-04-02 | Battery life estimation method, device, battery management system, automobile and medium |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN113093015A true CN113093015A (en) | 2021-07-09 |
| CN113093015B CN113093015B (en) | 2023-10-27 |
Family
ID=76673344
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110363539.3A Active CN113093015B (en) | 2021-04-02 | 2021-04-02 | Battery life estimation method, device, battery management system, automobile and medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113093015B (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113673712A (en) * | 2021-10-25 | 2021-11-19 | 深圳达人高科电子有限公司 | Method and device for calculating residual electric quantity value, server and storage medium |
| CN114520822A (en) * | 2022-02-16 | 2022-05-20 | 东集技术股份有限公司 | Monitoring system, method, equipment and storage medium for equipment battery |
| CN114527170A (en) * | 2022-02-16 | 2022-05-24 | 一汽解放汽车有限公司 | Method for monitoring box bridge lubricating oil, monitoring device, equipment and storage medium |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2012154839A (en) * | 2011-01-27 | 2012-08-16 | Yokogawa Electric Corp | Life prediction evaluation device and life prediction evaluation method |
| US20160259014A1 (en) * | 2015-03-03 | 2016-09-08 | Samsung Electronics Co., Ltd. | Method and apparatus for automatically estimating remaining useful life (rul) of battery in real time |
| CN110118937A (en) * | 2019-05-13 | 2019-08-13 | 深圳江行联加智能科技有限公司 | The storage battery charge state edge calculations optimizing detection method of adaptive prediction model |
| CN111175665A (en) * | 2020-01-17 | 2020-05-19 | 上海派能能源科技股份有限公司 | Lithium battery testing method, device, equipment and storage medium |
| CN111880099A (en) * | 2020-06-30 | 2020-11-03 | 国网浙江省电力有限公司电力科学研究院 | Method and system for predicting service life of battery monomer in energy storage power station |
| CN112014736A (en) * | 2020-08-21 | 2020-12-01 | 中国第一汽车股份有限公司 | Battery life prediction method, device, equipment and storage medium |
-
2021
- 2021-04-02 CN CN202110363539.3A patent/CN113093015B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2012154839A (en) * | 2011-01-27 | 2012-08-16 | Yokogawa Electric Corp | Life prediction evaluation device and life prediction evaluation method |
| US20160259014A1 (en) * | 2015-03-03 | 2016-09-08 | Samsung Electronics Co., Ltd. | Method and apparatus for automatically estimating remaining useful life (rul) of battery in real time |
| CN110118937A (en) * | 2019-05-13 | 2019-08-13 | 深圳江行联加智能科技有限公司 | The storage battery charge state edge calculations optimizing detection method of adaptive prediction model |
| CN111175665A (en) * | 2020-01-17 | 2020-05-19 | 上海派能能源科技股份有限公司 | Lithium battery testing method, device, equipment and storage medium |
| CN111880099A (en) * | 2020-06-30 | 2020-11-03 | 国网浙江省电力有限公司电力科学研究院 | Method and system for predicting service life of battery monomer in energy storage power station |
| CN112014736A (en) * | 2020-08-21 | 2020-12-01 | 中国第一汽车股份有限公司 | Battery life prediction method, device, equipment and storage medium |
Non-Patent Citations (1)
| Title |
|---|
| 时玮 等: "锰酸锂动力电池寿命测试方法", 汽车工程, vol. 37, no. 1, pages 67 - 71 * |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113673712A (en) * | 2021-10-25 | 2021-11-19 | 深圳达人高科电子有限公司 | Method and device for calculating residual electric quantity value, server and storage medium |
| CN114520822A (en) * | 2022-02-16 | 2022-05-20 | 东集技术股份有限公司 | Monitoring system, method, equipment and storage medium for equipment battery |
| CN114527170A (en) * | 2022-02-16 | 2022-05-24 | 一汽解放汽车有限公司 | Method for monitoring box bridge lubricating oil, monitoring device, equipment and storage medium |
| CN114527170B (en) * | 2022-02-16 | 2023-12-19 | 一汽解放汽车有限公司 | Method, monitoring device, equipment and storage medium for monitoring lubricating oil of tank bridge |
Also Published As
| Publication number | Publication date |
|---|---|
| CN113093015B (en) | 2023-10-27 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US11408942B2 (en) | Method for predicting service life of retired power battery | |
| US20240348064A1 (en) | Battery Equalization Method and System | |
| CN113093015B (en) | Battery life estimation method, device, battery management system, automobile and medium | |
| CN110376536B (en) | SOH detection method and device for battery system, computer equipment and storage medium | |
| CN110579716B (en) | Battery detection method and device | |
| CN106556802A (en) | A kind of accumulator battery exception cell recognition methodss and device | |
| EP3594705B1 (en) | Method and device for estimating service capacity and state of health of minimum battery cell and battery system | |
| CN112924866B (en) | Method and device for detecting capacity retention rate, vehicle and storage medium | |
| CN111175661A (en) | Method and system for determining state of charge of lithium ion battery | |
| CN110806540B (en) | Cell test data processing method, device, system and storage medium | |
| CN108398648B (en) | Method and device for analyzing battery attenuation rate and charging pile | |
| CN113064081A (en) | Power battery degradation detection method, device, medium, vehicle-mounted system and vehicle | |
| CN113093027B (en) | Battery SOC calibration method, device, system, medium and program product | |
| CN115395613B (en) | Battery charging management method and device, electronic equipment and storage medium | |
| Vennam et al. | A novel coupled electro-thermal-aging model for simultaneous SOC, SOH, and parameter estimation of lithium-ion batteries | |
| CN116736164A (en) | Vehicle storage battery aging identification method, device, equipment and medium | |
| CN113447824A (en) | Method and device for estimating maximum charging and discharging current of battery and storage medium | |
| CN110068409B (en) | Lithium battery stress prediction method and device | |
| CN113673157B (en) | Training method and device of battery capacity prediction model, electronic equipment and medium | |
| CN113064090B (en) | Lithium ion battery lithium precipitation detection method, device, medium, vehicle-mounted system and vehicle | |
| Kong et al. | A capacity degradation estimation error correction method for lithium-ion battery considering the effect of sequential depth of discharge | |
| CN110286328B (en) | Battery pack simulation power input control method and equipment | |
| Liu et al. | Study on the health status of lithium-ion batteries based on relaxation voltage characteristics | |
| CN105425157A (en) | Electric quantity metering module group and method for battery, and electric car | |
| CN116540115B (en) | Battery energy state monitoring method and battery system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |