CN111645567B

CN111645567B - Charging awakening method and device of vehicle BMS and vehicle charging system

Info

Publication number: CN111645567B
Application number: CN202010553432.0A
Authority: CN
Inventors: 杨磊君; 吴广涛; 杨晶所
Original assignee: NIO Co Ltd
Current assignee: NIO Co Ltd
Priority date: 2020-06-17
Filing date: 2020-06-17
Publication date: 2024-09-13
Anticipated expiration: 2040-06-17
Also published as: CN111645567A; WO2021253755A1

Abstract

The invention relates to the technical field of battery charging control, in particular to a charging awakening method and device of a vehicle BMS and a vehicle charging system, and aims to solve the technical problem of how to reliably charge and awaken the vehicle BMS. For this purpose, according to the charging and waking method of the vehicle BMS of the embodiment of the present invention, a charging control instruction of the vehicle BMS, which is generated according to a charging intention of the vehicle and is acquired based on a wireless communication technology, may be acquired, and then a BMS waking instruction is generated according to the charging control instruction, and a preset low-voltage power supply is controlled according to the BMS waking instruction to output a waking signal to the BMS based on the wireless communication technology, so as to wake the BMS. Through the steps, the method and the device solve the problem that the BMS cannot be normally awakened due to the damage of the signal cable when the BMS is awakened by using the wired signal source in the prior art, and improve the reliability of the BMS awakening of the vehicle.

Description

Charging awakening method and device of vehicle BMS and vehicle charging system

Technical Field

The invention relates to the technical field of battery charging control, in particular to a vehicle BMS charging awakening method and device and a vehicle charging system.

Background

In the charging process of the electric automobile, a Battery management system (Battery MANAGEMENT SYSTEM, BMS) is required to monitor the charging state of the power Battery, so as to judge whether the power Battery is overheated or overcharged. After electric automobile is connected with battery charging outfit like charging stake, battery charging outfit can send BMS wake-up signal to electric automobile through dedicated signal cable, then the low voltage power supply of presetting in the battery charging outfit of control after BMS is awakened and supply power to BMS through this signal cable to guarantee BMS can normal operating. However, the above signal cable and the low-voltage power supply, which are specially used for the BMS wake-up/power supply control, are arranged on the charging device, so that the design/manufacturing cost of the charging device can be increased, and the signal cable is also very easy to damage due to abrasion, aging and other reasons.

Accordingly, there is a need in the art for a new charging wake-up scheme of a vehicle BMS to solve the above-mentioned problems.

Disclosure of Invention

The present invention has been made to overcome the above-mentioned drawbacks, and an object of the present invention is to provide a method and an apparatus for waking up a charge of a vehicle BMS, and a vehicle charging system, which solve or at least partially solve the problem of how to reliably wake up a charge of a vehicle BMS.

In a first aspect, there is provided a charge wakeup method of a vehicle BMS, the method including:

receiving a charging control instruction;

Generating a BMS wake-up instruction according to the charging control instruction;

Controlling a preset low-voltage power supply to output a wake-up signal to a vehicle BMS according to the BMS wake-up instruction so as to wake up the vehicle BMS;

Wherein the charge control instruction is a wireless communication signal generated according to the charging intention of the current vehicle, and the wake-up signal is a wireless communication signal.

In one aspect of the above method for waking up the vehicle by charging, the charging intention of the vehicle includes a charging intention predicted from driving data of the vehicle and/or a charging intention analyzed from a charging request of the vehicle.

In one technical scheme of the charging wake-up method of the vehicle BMS, predicting the charging intention of the vehicle according to the driving data of the vehicle specifically includes:

acquiring vehicle navigation data in the driving data;

Judging whether a navigation destination in the vehicle navigation data is a vehicle charging place or is positioned near the vehicle charging place; if yes, determining that the vehicle has a charging intention;

And/or predict the charging intention of the vehicle according to the driving data of the vehicle, specifically comprising:

Acquiring driving behavior data in the driving data; the driving behavior data comprise driving routes and time of the vehicle in the process from starting to stopping;

acquiring driving habits corresponding to the driving behavior data based on a one-to-one correspondence between preset driving behaviors and driving habits; the driving habit comprises two driving routes which are associated in advance and the time corresponding to each driving route;

acquiring an associated driving route pre-associated with the driving route in the driving behavior data and a power battery power prediction value required by the associated driving route according to the driving habit;

Acquiring the residual electric quantity of a power battery after the vehicle stops, and judging whether the residual electric quantity is smaller than the electric quantity predicted value; if yes, determining that the vehicle has a charging intention.

In one technical scheme of the above-mentioned vehicle BMS charging wake-up method, the step of generating a BMS wake-up instruction according to the charging control instruction specifically includes:

Judging whether the charging control instruction comprises the predicted time for starting charging of the vehicle or not;

when the charging control instruction comprises the predicted time for starting the charging of the vehicle, acquiring the charge state and the ambient temperature of a power battery in the vehicle, and predicting the optimal charging temperature of the power battery according to the charge state;

Judging whether the environmental temperature is smaller than the optimal charging temperature, if so, predicting the preheating time required for heating the power battery to the optimal charging temperature according to the environmental temperature and the optimal charging temperature;

Calculating the wake-up time of the wake-up BMS according to the preheating time and the predicted time;

Acquiring the receiving time of the charging control instruction, and judging whether the duration between the receiving time and the awakening time is smaller than the preheating duration; if yes, a BMS awakening control instruction is immediately generated to awaken the BMS and control the awakened BMS to heat the power battery; if not, generating a BMS awakening control instruction after the time reaches the awakening time so as to awaken the BMS and control the awakened BMS to heat the power battery.

In one technical aspect of the above-mentioned method for waking up the vehicle BMS by charging, the step of predicting the optimal charging temperature of the power battery according to the state of charge specifically includes:

Predicting the optimal charging temperature of the power battery according to the state of charge of the power battery based on a preset neural network prediction model;

The preset neural network prediction model is constructed based on preset data samples and by using a machine learning algorithm, wherein the preset data samples comprise maximum charging currents of the power battery at different temperatures and different states of charge.

In one technical scheme of the above-mentioned vehicle BMS charging wake-up method, the step of "controlling a preset low-voltage power supply to output a wake-up signal to a BMS in the vehicle according to the BMS wake-up instruction to wake up the BMS" specifically includes:

Judging whether the vehicle is ready for charging according to the vehicle state information; if yes, a preset low-voltage power supply is controlled to output a wake-up signal to the BMS in the vehicle according to the BMS wake-up instruction so as to wake up the BMS.

In one technical solution of the above method for waking up the vehicle BMS by charging, after the BMS is woken up, the method further includes:

Matching the capacity rated value of the power battery corresponding to the vehicle identification information based on a one-to-one correspondence between preset identification information and the capacity rated value of the power battery and according to the vehicle identification information of the current vehicle;

Acquiring a capacity rated value of an installed power battery on a current vehicle, and judging whether the matched capacity rated value is smaller than the capacity rated value of the installed power battery; if yes, setting a maximum charging quantity according to the matched capacity rated value, and then controlling the BMS to charge the installed power battery according to the maximum charging quantity.

In a second aspect, there is provided a charge wakeup device of a vehicle BMS, the device including:

an instruction acquisition module configured to receive a charge control instruction;

an instruction generation module configured to generate a BMS wake-up instruction according to the charge control instruction;

The wake-up control module is configured to control a preset low-voltage power supply to output a wake-up signal to a vehicle BMS according to the BMS wake-up instruction so as to wake up the vehicle BMS;

In one aspect of the above charging wake-up device of the vehicle BMS, the charging intention of the vehicle includes a charging intention predicted according to driving data of the vehicle and/or a charging intention analyzed according to a charging request of the vehicle.

In one technical scheme of the charging wake-up device of the vehicle BMS, the charging wake-up device comprises a charging intention prediction module, wherein the charging intention prediction module comprises a first charging intention prediction sub-module and/or a second charging intention prediction sub-module;

the first charging intention prediction sub-module comprises a navigation data acquisition unit and a first charging intention prediction unit; the navigation data acquisition unit is configured to acquire vehicle navigation data in the driving data; the first charging intention prediction unit is configured to determine whether a navigation destination in the vehicle navigation data is a vehicle charging place or is located in the vicinity of the vehicle charging place; if yes, determining that the vehicle has a charging intention;

The second electric intention prediction submodule comprises a driving behavior data acquisition unit, a driving habit acquisition unit and a second charging intention prediction unit; the driving behavior data acquisition unit is configured to acquire driving behavior data in the driving data; the driving behavior data comprise driving routes and time of the vehicle in the process from starting to stopping; the driving habit obtaining unit is configured to obtain driving habits corresponding to the driving behavior data based on a one-to-one correspondence between preset driving behaviors and driving habits; the driving habit comprises two driving routes which are associated in advance and the time corresponding to each driving route; the associated driving route obtaining unit is configured to obtain an associated driving route pre-associated with the driving route in the driving behavior data and a power battery power prediction value required by the associated driving route according to the driving habit; the second charging intention prediction unit is configured to acquire the residual electric quantity of the power battery after the vehicle stops, and judge whether the residual electric quantity is smaller than the electric quantity predicted value; if yes, determining that the vehicle has a charging intention.

In one technical scheme of the charging wake-up device of the vehicle BMS, the wake-up control module comprises an information judging sub-module, a charging temperature predicting sub-module, a preheating duration predicting sub-module and an instruction generating sub-module;

the information judging sub-module is configured to judge whether the charging control instruction contains the predicted time for starting charging of the vehicle; if yes, starting the charging temperature prediction sub-module;

The charging temperature prediction sub-module is configured to obtain a state of charge and an ambient temperature of a power battery in a vehicle, and predict an optimal charging temperature of the power battery according to the state of charge;

The preheating duration prediction submodule is configured to judge whether the ambient temperature is smaller than the optimal charging temperature, if yes, predicting the preheating duration required for heating the power battery to the optimal charging temperature according to the ambient temperature and the optimal charging temperature;

The instruction generation sub-module is configured to calculate the wake-up time of the wake-up BMS according to the pre-heating time length and the predicted time; acquiring the receiving time of the charging control instruction, and judging whether the duration between the receiving time and the awakening time is smaller than the preheating duration; if yes, a BMS awakening control instruction is immediately generated to awaken the BMS and control the awakened BMS to heat the power battery; if not, generating a BMS awakening control instruction after the time reaches the awakening time so as to awaken the BMS and control the awakened BMS to heat the power battery.

In one technical scheme of the above-mentioned vehicle BMS's wake-up device that charges, still include:

the charging temperature prediction sub-module is configured to predict an optimal charging temperature of the power battery based on a preset neural network prediction model and according to a state of charge of the power battery;

the wake-up control module is configured to judge whether the vehicle is ready for charging according to the vehicle state information; if yes, a preset low-voltage power supply is controlled to output a wake-up signal to the BMS in the vehicle according to the BMS wake-up instruction so as to wake up the BMS.

In one technical scheme of the charging wake-up device of the vehicle BMS, the device further comprises a BMS charging control module, wherein the BMS charging control module comprises a battery capacity acquisition sub-module and a battery charging control sub-module;

The battery capacity acquisition sub-module is configured to match the capacity rated value of the power battery corresponding to the vehicle identification information based on the one-to-one correspondence between the preset identification information and the capacity rated value of the power battery and according to the vehicle identification information of the current vehicle;

The battery charging control sub-module is configured to acquire a capacity rated value of a power battery installed on the current vehicle, and judge whether the capacity rated value matched by the battery capacity acquisition sub-module is smaller than the capacity rated value of the installed power battery; if yes, setting a maximum charging quantity according to the matched capacity rated value, and then controlling the BMS to charge the installed power battery according to the maximum charging quantity.

In a third aspect, a storage device is provided, in which a plurality of program codes are stored, characterized in that the program codes are adapted to be loaded and executed by a processor to perform the charge wake-up method of the vehicle BMS according to any of the above-mentioned technical solutions.

In a fourth aspect, a control device is provided, the control device comprising a processor and a storage device, the storage device being adapted to store a plurality of program codes, characterized in that the program codes are adapted to be loaded and run by the processor to perform the method of waking up the charging of the vehicle BMS according to any of the above-mentioned technical solutions.

In a fifth aspect, a charging wake-up device of a vehicle BMS is provided, where the device includes a wireless communication module, a low-voltage power supply module, and a control device according to the above technical solution;

The wireless communication module is configured to receive a charging control instruction of a vehicle BMS and transmit the charging control instruction to the control device, and transmit a wake-up signal output by the control device to the vehicle BMS;

The control device is configured to generate a BMS wake-up instruction according to the charging control instruction, and control the low-voltage power supply module to output a wake-up signal to a BMS in the vehicle according to the BMS wake-up instruction so as to wake up the BMS.

In one technical scheme of the charging wake-up device of the vehicle BMS, the charging wake-up device further comprises a communication multiplexing module, and the communication multiplexing module is connected with the charging equipment or a communication module in the vehicle;

the communication multiplexing module is configured to receive a charge control instruction of a vehicle BMS through the communication module in the charging device or the vehicle and transmit the charge control instruction of the vehicle BMS to the control device, and transmit a wake-up signal output from the control device to the vehicle BMS through the communication module in the charging device or the vehicle.

In one technical scheme of the charging wake-up device of the vehicle BMS, the charging wake-up device further comprises a power multiplexing module, and the power multiplexing module is connected with a vehicle-mounted low-voltage power supply of the vehicle;

The power multiplexing module is configured to control the vehicle-mounted low-voltage power supply to output a wake-up signal to the BMS in the vehicle according to the BMS wake-up control instruction output by the control device so as to wake up the BMS.

In a sixth aspect, a vehicle charging system is provided, which includes a charging device and a charging wake-up device of the vehicle BMS according to any of the above technical solutions, the charging wake-up device being provided on the charging device or the vehicle.

In one aspect of the above vehicle charging system, the system further includes a background server configured to analyze whether the vehicle has a charging intention according to driving data or a charging request of the vehicle, and if the vehicle has the charging intention, send a charging control instruction of the vehicle BMS to a charging wake-up device of the vehicle BMS.

In one aspect of the above vehicle charging system, the vehicle charging system further includes:

The vehicle comprises a vehicle-mounted controller, the vehicle-mounted controller is configured to analyze whether the vehicle has a charging intention according to driving data of the vehicle, and if the vehicle has the charging intention, a charging control instruction of the vehicle BMS is sent to a charging awakening device of the vehicle BMS.

In one aspect of the above vehicle charging system, the charging wake-up device and the power battery of the vehicle are respectively provided on the vehicle body independently of each other, or the charging wake-up device is provided in the power battery of the vehicle.

Scheme 1, a vehicle BMS's charge wake-up method, characterized in that the method comprises:

receiving a charging control instruction;

The method for waking up the vehicle BMS according to claim 2 is characterized in that the charging intention of the vehicle includes a charging intention predicted from driving data of the vehicle and/or a charging intention analyzed from a charging request of the vehicle.

The method for waking up the vehicle BMS according to claim 3 is characterized by predicting the charging intention of the vehicle according to the driving data of the vehicle, and specifically includes:

acquiring vehicle navigation data in the driving data;

And/or

Predicting the charging intention of the vehicle according to the driving data of the vehicle, specifically comprising:

The method for waking up the vehicle BMS according to claim 4, wherein the step of generating a BMS wake-up instruction according to the charge control instruction specifically includes:

The method for waking up the vehicle BMS according to claim 5, wherein the step of predicting the optimal charging temperature of the power battery according to the state of charge specifically includes:

The method for waking up the vehicle BMS according to the scheme 6, wherein the step of "controlling the preset low-voltage power supply to output a wake-up signal to the BMS in the vehicle according to the BMS wake-up instruction to wake up the BMS" specifically includes:

The charging wake-up method of a vehicle BMS according to claim 7, any one of claims 1 to 6, wherein after the BMS is woken up, the method further comprises:

Scheme 8, a vehicle BMS's wake-up device that charges, its characterized in that, the device includes:

A wake-up control module configured to control a preset low-voltage power supply to output a wake-up signal to the vehicle BMS according to the BMS wake-up instruction so as to wake up the vehicle BMS;

The charging wake-up device of the vehicle BMS according to claim 9, wherein the charging intention of the vehicle includes a charging intention predicted from driving data of the vehicle and/or a charging intention analyzed from a charging request of the vehicle.

The charge wakeup device of the vehicle BMS according to claim 10, wherein the charge wakeup device includes a charge intention prediction module including a first charge intention prediction sub-module and/or a second charge intention prediction sub-module;

The second electric intention prediction submodule comprises a driving behavior data acquisition unit, a driving habit acquisition unit, an associated driving route acquisition unit and a second charging intention prediction unit; the driving behavior data acquisition unit is configured to acquire driving behavior data in the driving data; the driving behavior data comprise driving routes and time of the vehicle in the process from starting to stopping; the driving habit obtaining unit is configured to obtain driving habits corresponding to the driving behavior data based on a one-to-one correspondence between preset driving behaviors and driving habits; the driving habit comprises two driving routes which are associated in advance and the time corresponding to each driving route; the associated driving route obtaining unit is configured to obtain an associated driving route pre-associated with the driving route in the driving behavior data and a power battery power prediction value required by the associated driving route according to the driving habit; the second charging intention prediction unit is configured to acquire the residual electric quantity of the power battery after the vehicle stops, and judge whether the residual electric quantity is smaller than the electric quantity predicted value; if yes, determining that the vehicle has a charging intention.

The charging wake-up device of the vehicle BMS according to the scheme 11, wherein the wake-up control module includes an information judging sub-module, a charging temperature predicting sub-module, a preheating duration predicting sub-module, and an instruction generating sub-module;

The charging wake-up device of a vehicle BMS according to claim 12, further comprising:

The charging wake-up device of a vehicle BMS according to claim 13, further comprising:

The battery-charging wake-up device of a vehicle BMS according to claim 14, any one of claims 8 to 13, further comprising a BMS charging control module including a battery-capacity-acquiring sub-module and a battery-charging control sub-module;

A storage device of claim 15, wherein a plurality of program codes are stored, characterized in that the program codes are adapted to be loaded and executed by a processor to perform the charge wakeup method of the vehicle BMS of any one of claims 1 to 7.

A control device comprising a processor and a storage device, the storage device being adapted to store a plurality of program codes, characterized in that the program codes are adapted to be loaded and run by the processor to perform the charge wakeup method of a vehicle BMS of any one of the schemes 1 to 7.

Scheme 17, a vehicle BMS wake-up device for charging, characterized in that said device comprises a wireless communication module, a low voltage power supply module and the control device of scheme 16;

The charging wake-up device of the vehicle BMS according to claim 18, wherein the charging wake-up device further comprises a communication multiplexing module connected with the charging device or the communication module in the vehicle;

The charging wake-up device of the vehicle BMS according to claim 19, wherein the charging wake-up device further comprises a power multiplexing module, the power multiplexing module being connected to a vehicle-mounted power supply of the vehicle;

A vehicle charging system according to claim 20, characterized in that the system comprises a charging device and a charging wake-up device of the vehicle BMS according to any of claims 17 to 19, the charging wake-up device being provided on the charging device or the vehicle.

The vehicle charging system according to claim 21, 20, further comprising a background server configured to analyze whether the vehicle has a charging intention according to driving data or a charging request of the vehicle, and if the charging intention is present, send a charging control instruction of the vehicle BMS to a charging wake-up device of the vehicle BMS.

The vehicle charging system according to claim 22, characterized by further comprising:

The vehicle charging system according to any one of claims 23, 20 to 22, characterized in that the charge wake-up device and the power battery of the vehicle are provided on the vehicle body independently of each other, or the charge wake-up device is provided in the power battery of the vehicle, respectively.

The technical scheme provided by the invention has at least one or more of the following beneficial effects:

In the technical scheme of implementing the invention, a charging control instruction of the vehicle BMS (the charging control instruction can be a wireless communication signal generated according to the charging intention of the current vehicle) can be obtained based on a wireless communication technology, then a BMS wake-up instruction is generated according to the charging control instruction, and a preset low-voltage power supply (the preset low-voltage power supply comprises but is not limited to a low-voltage power supply preset in a device for executing a charging wake-up method of the vehicle BMS and an on-board low-voltage power supply of the vehicle) is controlled according to the BMS wake-up instruction, so that the BMS is woken up. According to the invention, the charging control instruction of the vehicle BMS is obtained through the wireless communication technology, and the wake-up signal is output to the vehicle BMS, so that the wake-up of the vehicle BMS is realized, and the problem that the BMS cannot be normally wake-up due to the damage of the signal cable when the BMS is wake-up by using a wired signal source (a signal transmitted by the signal cable special for BMS communication/power supply control) in the prior art is solved. In addition, the present invention does not require a low voltage power supply dedicated to power the BMS to be provided on the charging device, and thus does not significantly increase the design/manufacturing cost of the charging device.

Drawings

Embodiments of the invention are described below with reference to the accompanying drawings, in which:

fig. 1 is a flowchart illustrating main steps of a charge wakeup method of a vehicle BMS according to an embodiment of the present invention;

Fig. 2 is a main structural schematic view of a charge wakeup device of a vehicle BMS according to an embodiment of the present invention;

List of reference numerals:

11: an instruction acquisition module; 12: an instruction generation module; 13: and waking up the control module.

Detailed Description

Some embodiments of the invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are merely for explaining the technical principles of the present invention, and are not intended to limit the scope of the present invention.

In the description of the present invention, a "module," "processor" may include hardware, software, or a combination of both. A module may comprise hardware circuitry, various suitable sensors, communication ports, memory, or software components, such as program code, or a combination of software and hardware. The processor may be a central processor, a microprocessor, an image processor, a digital signal processor, or any other suitable processor. The processor has data and/or signal processing functions. The processor may be implemented in software, hardware, or a combination of both. Non-transitory computer readable storage media include any suitable medium that can store program code, such as magnetic disks, hard disks, optical disks, flash memory, read-only memory, random access memory, and the like. The term "a and/or B" means all possible combinations of a and B, such as a alone, B alone or a and B. The term "at least one A or B" or "at least one of A and B" has a meaning similar to "A and/or B" and may include A alone, B alone or A and B. The singular forms "a", "an" and "the" include plural referents.

The conventional vehicle charging method is to wake up the BMS by transmitting a BMS wake-up signal to the electric vehicle through its dedicated signal cable by a charging device such as a charging pile. In addition, still be provided with low-voltage power supply (such as 12V low-voltage power supply) in the battery charging outfit, control low-voltage power supply is through above-mentioned signal cable to BMS power supply after BMS is awakened to make the battery charging outfit can normally monitor power battery's state of charge in the vehicle charging process. However, the above signal cable and the low-voltage power supply which are specially used for BMS communication/power supply control are arranged on the charging device, so that the cost of design, manufacture, maintenance and the like of the charging device can be increased, the signal cable is also extremely easy to wear and age and the like, and when the signal cable is damaged due to wear, aging and the like, the charging device cannot wake up the BMS normally.

The method for waking up the vehicle BMS according to an embodiment of the present invention is based on a wireless signal source and implements BMS wake-up using a preset low voltage power source including, but not limited to: a low voltage power supply preset in a device for performing a charge wakeup method of a vehicle BMS, an on-vehicle low voltage power supply of a vehicle, and the like. Specifically, a charging control instruction of a vehicle BMS (the charging control instruction is a wireless communication signal generated according to the charging intention of the current vehicle) is obtained based on a wireless communication technology, a BMS wake-up instruction is generated according to the charging control instruction, and a preset low-voltage power supply is controlled to output a wake-up signal to the BMS according to the BMS wake-up instruction, so that the BMS is woken up. The invention obtains the charging control instruction of the vehicle BMS and outputs the wake-up signal to the vehicle BMS through the wireless communication technology (including but not limited to 4G/5G communication technology, WIFI communication technology, bluetooth communication technology and NFC communication technology), realizes the wake-up of the vehicle BMS, and solves the problem that the BMS can not be normally waken due to the damage of the signal cable when the BMS is waken by using a wired signal source (a signal transmitted by the signal cable special for BMS communication/power supply control). In addition, the present invention does not require a low voltage power supply dedicated to power the BMS to be provided on the charging device, and thus does not significantly increase the costs of design, manufacture, maintenance, etc. of the charging device.

In one application scenario of the present invention, a charging wake-up device of a vehicle BMS is provided on the vehicle and a 12V low voltage power supply is preset in the charging wake-up device. When a vehicle is driven into a charging station to be charged by using charging equipment, the charging equipment sends a charging control instruction to a charging awakening device, the charging awakening device judges whether the vehicle is ready for charging according to vehicle state information (such as the connection state of the vehicle and the charging equipment) after receiving the charging control instruction, if the vehicle is ready for charging, the BMS awakening instruction is generated according to the charging control instruction, and the 12V low-voltage power supply is controlled to output an awakening signal to the BMS according to the BMS awakening instruction, so that the charging state of a power battery is immediately monitored after the BMS awakens, and the problem of overheat or overcharge is prevented.

Referring to fig. 1, fig. 1 is a flowchart illustrating main steps of a method for waking up a vehicle BMS according to an embodiment of the present invention. As shown in fig. 1, the method for waking up the vehicle BMS in the embodiment of the present invention mainly includes the following steps:

step S101: and receiving a charging control instruction.

In this embodiment, the charging control instruction is a wireless communication signal generated according to the charging intention of the current vehicle, and the subsequent BMS awakening operation is executed according to the wireless communication signal, so that the problem that when the BMS is awakened by using a wired signal source in the prior art, the BMS cannot be awakened normally due to the damage of a signal cable can be solved.

The charging intention of the vehicle may be a charging intention analyzed based on a charging request of the vehicle, or may be a charging intention predicted based on driving data of the vehicle. The driving data includes, but is not limited to: travel path of the vehicle, navigation data, and the like.

In one embodiment, it is possible to predict whether the vehicle has a charging intention according to driving data of the vehicle and according to the following steps: acquiring vehicle navigation data in driving data, and judging whether a navigation destination in the vehicle navigation data is a vehicle charging place or is positioned near the vehicle charging place; if the navigation destination is a vehicle charging location or is located near the vehicle charging location, determining that the current vehicle has a charging intention; if the navigation destination is not the vehicle charging location or is not located near the vehicle charging location, it is determined that there is no charging intention for the current vehicle. One example is: the driving data of the vehicle comprise navigation data of the vehicle from the current position to a certain charging pile, the background server can predict that the current vehicle has a charging intention according to the driving data, and then a charging control instruction of the vehicle BMS is output. By the method, the user can be predicted to charge the vehicle without the charging request, and further the subsequent BMS awakening operation is performed, so that the BMS is awakened before the charging request is initiated by the user.

Further, in one embodiment, whether the vehicle has a charging intention may be predicted from driving data of the vehicle according to the following steps:

step 11: and acquiring driving behavior data in the driving data.

The driving behavior data include, but are not limited to: the driving route and time of the vehicle from start to stop. One example is: the driving behavior data of the vehicle a includes: vehicle a starts at the vehicle user's home at 7 am on a weekday and travels to the vehicle user's unit's travel route at 8 am.

Step 12: and acquiring the driving habit corresponding to the driving behavior data based on a one-to-one correspondence between the preset driving behavior and the driving habit.

The driving habit refers to the behavior habit of the user driving the current vehicle, which is obtained by carrying out big data statistics and analysis according to the driving behavior data of the vehicle. In this embodiment, the driving habit may include two driving routes associated in advance, and a driving time corresponding to each driving route.

One example is: acquiring driving data of the vehicle for a long time, such as 14 days, and counting the driving data to obtain that the current vehicle drives from the address a (such as a user home) to the address b (such as a user unit) at 7-8 am of each working day, and drives from the address b to the address a at 5-6 pm, so that the driving habit of the current vehicle can be obtained by analysis, wherein the driving habit comprises: "travel from address a to address b at 7-8 am and from address b to address a at 5-6 pm for each workday". The driving route ' driving from the address a to the address b at the 7-8 am point of each working day ' and the driving route ' driving from the address b to the address a at the 5-6 pm point of each working day ' are two driving routes which are pre-associated in the driving habit '.

Step 13: and acquiring an associated driving route pre-associated with the driving route in the driving behavior data and a power battery power predicted value required by the associated driving route according to the driving habit.

One example is: if the driving route in the driving behavior data obtained through the step 11 is "driving from the address a to the address b at the 7 am point to the 8 am point of each working day", the driving route (associated driving route) associated with the driving route in advance is "driving from the address b to the address a at the 5 pm point to the 6 pm point of each working day". After the associated driving route is obtained, the electric quantity required by the vehicle to complete the associated driving route can be predicted, and an electric quantity predicted value is obtained.

Step 14: acquiring the residual electric quantity of the power battery after the vehicle stops, and judging whether the residual electric quantity is smaller than the electric quantity predicted value; if yes, indicating that the residual quantity of the current vehicle is insufficient to support the vehicle to run to complete the corresponding associated driving route, and determining that the vehicle has a charging intention; if not, the residual electric quantity of the current vehicle is indicated to support the vehicle to run to complete the corresponding associated driving route, so that the vehicle is determined to have no charging intention.

Through the above steps 11-14, the user can pre-judge that the user can charge the vehicle (the current vehicle has a charging intention) without the need of the user to make a charging request, and then execute a later BMS awakening operation, so that the user can awaken the BMS before initiating the charging request.

Step S102: and generating a BMS wake-up instruction according to the charging control instruction.

After receiving a charging control instruction of a vehicle BMS, the current vehicle is indicated to have a charging requirement, and the BMS needs to be awakened to monitor the charging state of the power battery in the charging process. Therefore, a BMS wake-up command may be generated immediately after receiving a charging control command of the vehicle BMS to wake up the BMS. However, in practical application, the number of charging devices, the working state and other factors are limited, and the user is required to reserve the vehicle for charging, and then the vehicle is charged after the time reaches the reserved charging time. In this regard, the present invention may determine a wake-up time for waking up the BMS according to a predicted time for starting the charging of the vehicle included in the charging control instruction, and regenerate the BMS wake-up instruction after the time reaches the wake-up time. The wake-up time may be a predicted time for starting charging of the vehicle included in the charge control instruction, or may be a time before the predicted time.

The predicted time for turning on the charge of the vehicle in this embodiment may be predicted from the driving data of the vehicle. Specifically, with continued reference to the foregoing embodiment in step S101, after the charging intention of the vehicle is predicted according to the driving behavior data, the driving habit and the like in the driving data, the charging duration required for charging the power battery from the current remaining power to the power predicted value may be calculated according to the remaining power of the power battery after the vehicle is stopped and the power predicted value required by the associated driving route (the driving route associated with the driving route in the driving behavior data in advance obtained according to the driving habit). And then calculating the time for starting charging of the power battery according to the charging duration and the starting time of the associated driving route, wherein the time is the predicted time for starting charging of the vehicle. One example is: the charging duration is 3 hours, and the starting time of the associated driving route is 5 pm, so that the predicted time for starting the charging of the vehicle can be calculated to be 2 pm.

Further, the predicted time for turning on the charge of the vehicle in this embodiment may be analyzed based on the charge request of the vehicle. One example is: the vehicle user may make a reservation of the charge time, which is the predicted time the vehicle starts charging, when the charge request is initiated.

In one embodiment, the BMS wake-up command may be generated after receiving the charge control command of the vehicle BMS according to the following steps:

step 21: and judging whether the charging control instruction comprises the predicted time for starting the charging of the vehicle. If the predicted time for turning on the vehicle to charge is included, go to step 22; and if the predicted time for starting the charging of the vehicle is not included, a BMS wake-up instruction is immediately generated to wake up the BMS.

Step 22: and acquiring the state of charge and the ambient temperature of the power battery in the vehicle, and predicting the optimal charging temperature of the power battery according to the state of charge.

The state of charge of a power cell refers to the ratio of the current remaining capacity of the power cell to the capacity of its fully charged state.

The optimal charging temperature of the power battery refers to an ambient temperature corresponding to a maximum charging current that can be achieved when the power battery is charged in a current state of charge of the power battery.

In one embodiment, a neural network prediction model may be constructed/trained based on a vast amount of battery data such as state of charge, charge temperature, charge current, etc., and using a machine learning algorithm, and then the neural network prediction model may be used to predict the optimal charge temperature of the power battery. Specifically, the optimal charging temperature of the power battery is predicted based on a preset neural network prediction model and according to the state of charge of the power battery, the preset neural network prediction model is constructed based on preset data samples and by using a machine learning algorithm, and the preset data samples comprise the maximum charging currents of the power battery at different temperatures and different states of charge. And large data analysis is performed on massive power battery data based on a machine learning algorithm, so that the environment temperature corresponding to the maximum charging current which can be realized when the power battery is charged under different charge states can be accurately obtained.

Step 23: and judging whether the ambient temperature is less than the optimal charging temperature. If the ambient temperature is less than the optimal charging temperature, go to step 24. And if the ambient temperature is greater than or equal to the optimal charging temperature, generating a BMS wake-up control instruction after the time reaches the predicted time for starting the charging of the vehicle.

If the ambient temperature is less than the optimal charging temperature, the charging current for charging the power battery at the current ambient temperature and the current state of charge is less than the charging current for charging the power battery at the optimal charging temperature and the current state of charge, so that the charging time or efficiency at the current ambient temperature is necessarily lower than the charging time or efficiency at the optimal charging temperature. In this way, the power battery can be heated before charging, and the temperature of the power battery is heated to the optimal charging temperature, so that the charging current can reach the optimal charging current in the current state of charge at the initial charging time, and the charging efficiency of the power battery is improved. If the ambient temperature is greater than or equal to the optimal charging temperature, the charging current charged at the current ambient temperature can reach the optimal charging current in the current state of charge, so that the power battery does not need to be heated.

Step 24: and predicting the preheating time period required for heating the power battery to the optimal charging temperature according to the environment temperature and the optimal charging temperature.

Step 25: and calculating the wake-up time of the wake-up BMS according to the preheating time and the predicted time, acquiring the receiving time of the charge control instruction, and judging whether the time between the receiving time and the wake-up time is smaller than the preheating time. If the duration is less than the preheating duration, a BMS awakening control instruction is immediately generated, and the BMS after awakening is controlled to heat the power battery. If the duration is greater than or equal to the preheating duration, generating a BMS awakening control instruction after the time reaches the awakening time so as to awaken the BMS and control the awakened BMS to heat the power battery.

One example is: if the preheating time is 30min and the predicted time is 30 minutes at 4 pm, the wake-up time can be calculated to be 4 pm according to the preheating time and the predicted time. If the receiving time of the charging control instruction is 1 pm, a BMS wake-up control instruction can be generated after the time reaches 4 pm, and the BMS after wake-up is controlled to heat the power battery. If the receiving time of the charging control instruction is 10 minutes at 4 pm, the BMS wake-up control instruction is immediately generated, and the BMS after wake-up is controlled to heat the power battery.

By the BMS wake-up instruction generation method in the steps 21-24, the power battery can be charged rapidly and efficiently at the optimal charging temperature, so that the charging time of the power battery is saved, and the charging experience of a user is improved.

Step S103: and controlling a preset low-voltage power supply to output a wake-up signal to the vehicle BMS according to the BMS wake-up instruction so as to wake up the vehicle BMS.

The wake-up signal may be a voltage pulse signal, and after receiving a BMS wake-up command, the wake-up signal may control a preset low-voltage power supply to perform charge and discharge, so that the voltage is enabled to output a pulse signal to the BMS to wake up the BMS. In one embodiment, the wake-up signal may be a wireless communication signal generated from a voltage pulse signal.

The voltage value of the wake-up signal that the preset low voltage power supply can output depends on the voltage input value of the BMS. One example is: if the voltage input value of the BMS is 12V, the wake-up signal output from the low voltage power supply may be a 12V voltage signal.

In one embodiment, in order to ensure that the BMS is awakened to start charging, it is avoided that the BMS needs to wait for a long time to start charging after being awakened, whether the vehicle is ready to charge can be judged first, and if the vehicle is ready to charge, a preset low-voltage power supply is controlled to output an awakening signal to the BMS. Specifically, after the BMS wake-up instruction is generated, it is first determined whether the vehicle is ready for charging according to the vehicle state information. And if the vehicle has completed charging preparation, controlling a preset low-voltage power supply to output a wake-up signal to the BMS in the vehicle according to the BMS wake-up instruction. If the vehicle has not completed the charge preparation, it is continued to determine whether the vehicle has completed the charge preparation based on the vehicle state information.

One example is: if the vehicle state information includes only the connection state of the vehicle and the charging device, it may be determined that the vehicle has completed the preparation for charging if it is detected that the vehicle and the charging device are accurately connected, and the BMS may be awakened to start charging.

Through the steps, the invention solves the problem that when the BMS is awakened by using a wired signal source (a signal transmitted by a signal cable special for BMS communication/power supply control), the BMS cannot be awakened normally due to the damage of the signal cable, and the problem that the cost of the charging equipment is increased due to the fact that a low-voltage power supply special for supplying power to the BMS is arranged on the charging equipment.

In addition, in practical applications, the vehicle energy supplementing method includes an energy supplementing method of directly charging the vehicle and replacing the vehicle (removing a power battery with a lower battery capacity on the vehicle from the vehicle and replacing other power batteries with higher battery capacities on the current vehicle). However, since the power batteries with different capacity ratings are different in use permission of different vehicles, if the power battery with the capacity rating higher than the capacity rating with the use permission of the current vehicle is replaced to the current vehicle, the charging strategy of the power battery needs to be adjusted according to the capacity rating with the use permission of the current vehicle. One example is: if the capacity rating of the current vehicle with the use authority is 70kWh and the capacity rating of the power battery replaced to the current vehicle is 84kWh, since the current vehicle does not have the use authority of 84kWh, the charging strategy of the power battery of the current vehicle needs to be adjusted so that the maximum charge amount of the power battery is equal to 70kWh. Specifically, in one embodiment the charging strategy of the power cell may be adjusted as follows:

Step 31: and matching the capacity rated value of the power battery corresponding to the vehicle identification information based on the one-to-one correspondence between the preset identification information and the capacity rated value of the power battery and according to the vehicle identification information of the current vehicle.

The vehicle identification information refers to unique identification information capable of indicating the identity of the vehicle. The vehicle identification information includes, but is not limited to: license plate number, vehicle VIN code and vehicle user's ID card number.

The one-to-one correspondence of the preset identification information and the capacity rating of the power battery may be provided by a vehicle provider, which sets a corresponding capacity rating usage right for each vehicle, and then constructs a correspondence of the vehicle identification information of each vehicle and the corresponding capacity rating according to the usage right. It should be noted that although the present invention provides only one specific embodiment for obtaining the above correspondence, those skilled in the art will understand that the scope of the present invention is not limited to this specific embodiment. One skilled in the art may use other methods to obtain the usage rights of the capacity ratings of the vehicles to set a corresponding capacity rating for each vehicle, and further set a correspondence between the vehicle identification information and the capacity ratings according to the capacity ratings. Such modifications and alternative arrangements of features are intended to fall within the scope of the invention.

Step 32: acquiring a capacity rated value of a power battery installed on a current vehicle, and judging whether the matched capacity rated value is smaller than the capacity rated value of the installed power battery; if yes, the charging capacity is set according to the matched capacity rated value, and then the BMS is controlled to charge the installed power battery according to the charging capacity.

One example is: if the capacity rating of the power battery installed on the current vehicle is 84kWh and the capacity rating matched in the step 31 is 70kWh, the maximum charge amount of the power battery installed on the current vehicle is set to 70kWh.

It should be noted that, although the foregoing embodiments describe the steps in a specific order, it will be understood by those skilled in the art that, in order to achieve the effects of the present invention, the steps are not necessarily performed in such an order, and may be performed simultaneously (in parallel) or in other orders, and these variations are within the scope of the present invention.

Further, the invention also provides a charging awakening device of the vehicle BMS.

Referring to fig. 2, fig. 2 is a schematic view of a main structure of a charge wakeup device of a vehicle BMS according to an embodiment of the present invention. As shown in fig. 2, the charging wake-up device of the vehicle BMS in the embodiment of the present invention mainly includes an instruction acquisition module 11, an instruction generation module 12, and a wake-up control module 13. In some embodiments, one or more of the instruction fetch module 11, the instruction generation module 12, and the wake control module 13 may be combined together into one module. In some embodiments, the instruction fetch module 11 may be configured to receive a charge control instruction; the charge control instruction is a wireless communication signal generated according to the charging intention of the current vehicle. The instruction generation module 12 may be configured to generate a BMS wake instruction according to the charge control instruction. The wake-up control module 13 may be configured to control a preset low voltage power supply to output a wake-up signal to the vehicle BMS according to a BMS wake-up instruction to wake up the vehicle BMS; the wake-up signal is a wireless communication signal. In one embodiment, the charging intention of the vehicle includes a charging intention predicted from driving data of the vehicle and/or a charging intention analyzed from a charging request of the vehicle. In one embodiment, the description of the specific implementation functions may be described with reference to step S101 to step S103.

In one embodiment, the charging wake-up device may comprise a charging intention prediction module comprising a first charging intention prediction sub-module and/or a second charging intention prediction sub-module.

The first charging intention prediction sub-module may include a navigation data acquisition unit and a first charging intention prediction unit. The navigation data acquisition unit may be configured to acquire vehicle navigation data among the driving data. The first charging intention prediction unit may be configured to determine whether a navigation destination in the vehicle navigation data is a vehicle charging place or is located near the vehicle charging place; if yes, determining that the vehicle has a charging intention.

The second intent prediction sub-module may include a driving behavior data acquisition unit, a driving habit acquisition unit, an associated driving route acquisition unit, and a second charging intent prediction unit. The driving behavior data acquisition unit may be configured to acquire driving behavior data in the driving data; the driving behavior data can comprise driving route and time of the vehicle from starting to stopping; the driving habit obtaining unit may be configured to obtain a driving habit corresponding to the driving behavior data based on a one-to-one correspondence between preset driving behaviors and driving habits; the driving habit comprises two driving routes which are associated in advance and the time corresponding to each driving route; the associated driving route obtaining unit may be configured to obtain an associated driving route associated in advance with the driving route in the driving behavior data and a predicted value of the electric quantity of the power battery required for the associated driving route according to driving habits; the second charging intention prediction unit may be configured to acquire a remaining power of the power battery after the vehicle is stopped, and determine whether the remaining power is less than a power prediction value; if yes, determining that the vehicle has a charging intention. In one embodiment, the description of the specific implementation function may be described with reference to step S101.

In one embodiment, the wake-up control module 13 may include an information judging sub-module, a charging temperature predicting sub-module, a warm-up duration predicting sub-module, and an instruction generating sub-module.

The information determination sub-module may be configured to determine whether the charge control instruction includes a predicted time for the vehicle to start charging; if yes, a charging temperature prediction sub-module is started. The charge temperature prediction sub-module may be configured to obtain a state of charge of a power battery within the vehicle and an ambient temperature, and predict an optimal charge temperature of the power battery based on the state of charge. The warm-up duration prediction sub-module may be configured to determine whether the ambient temperature is less than the optimal charging temperature, and if so, predict a warm-up duration required to heat the power battery to the optimal charging temperature based on the ambient temperature and the optimal charging temperature. The instruction generation sub-module may be configured to calculate a wake-up time for waking up the BMS according to the warm-up time and the predicted time, obtain a reception time of the charge control instruction, and determine whether a time length between the reception time and the wake-up time is less than the warm-up time length; if yes, a BMS awakening control instruction is immediately generated to awaken the BMS and control the BMS after awakening to heat the power battery; if not, generating a BMS awakening control instruction after the time reaches the awakening time so as to awaken the BMS and control the awakened BMS to heat the power battery. In one embodiment, the description of the specific implementation function may be described with reference to step S102.

In one embodiment, the charge temperature prediction sub-module may be configured to predict an optimal charge temperature of the power battery based on a preset neural network prediction model and from a state of charge of the power battery; the preset neural network prediction model is constructed based on preset data samples and by using a machine learning algorithm, wherein the preset data samples comprise maximum charging currents of the power battery at different temperatures and different states of charge. In one embodiment, the description of the specific implementation function may be described with reference to step S102.

In one embodiment, the wake-up control module 13 may be configured to determine whether the vehicle is finished with the charge preparation based on the vehicle state information; if yes, a preset low-voltage power supply is controlled to output a wake-up signal to the BMS in the vehicle according to the BMS wake-up instruction so as to wake up the BMS. In one embodiment, the description of the specific implementation function may be described with reference to step S103.

In one embodiment, the charge wakeup device of the vehicle BMS shown in fig. 2 includes a BMS charge control module. In this embodiment, the BMS charging control module includes a battery capacity acquisition sub-module and a battery charging control sub-module. The battery capacity acquisition sub-module may be configured to match the capacity rating of the power battery corresponding to the vehicle identification information based on a one-to-one correspondence of the preset identification information and the capacity rating of the power battery and according to the vehicle identification information of the current vehicle. The battery charging control sub-module may be configured to obtain a capacity rating of a power battery installed on the current vehicle, determine whether the capacity rating matched by the battery capacity obtaining sub-module is less than the capacity rating of the installed power battery; if yes, setting the charging quantity according to the matched capacity rated value, and then controlling the BMS to charge the installed power battery according to the charging quantity.

The foregoing charging wake-up device of the vehicle BMS is used for executing the charging wake-up method embodiment of the vehicle BMS shown in fig. 1, and the technical principles of the two are similar to each other, the technical problems to be solved and the technical effects to be produced are similar, and those skilled in the art can clearly understand that, for convenience and brevity of description, the specific working process and related description of the charging wake-up device of the vehicle BMS can refer to the description of the charging wake-up method embodiment of the vehicle BMS, and will not be repeated herein.

Further, the invention also provides a storage device. In one storage device embodiment according to the present invention, the storage device may be configured to store a program for performing the charge wakeup method of the vehicle BMS of the above-described method embodiment, which may be loaded and executed by the processor to implement the charge wakeup method of the vehicle BMS. For convenience of explanation, only those portions of the embodiments of the present invention that are relevant to the embodiments of the present invention are shown, and specific technical details are not disclosed, please refer to the method portions of the embodiments of the present invention. The storage means may be a storage means device formed by including various electronic devices, and optionally, a non-transitory computer readable storage medium is stored in an embodiment of the present invention.

Further, the invention also provides a control device. In one control device embodiment according to the present invention, the control device includes a processor and a storage device, the storage device may be configured to store a program for executing the charge wakeup method of the vehicle BMS of the above-described method embodiment, and the processor may be configured to execute the program in the storage device, including, but not limited to, the program for executing the charge wakeup method of the vehicle BMS of the above-described method embodiment. For convenience of explanation, only those portions of the embodiments of the present invention that are relevant to the embodiments of the present invention are shown, and specific technical details are not disclosed, please refer to the method portions of the embodiments of the present invention. The control device can be a control device formed by various electronic devices, and optionally, in the embodiment of the invention, the control device is a microprocessor such as a singlechip.

Further, the invention also provides a charging awakening device of the vehicle BMS. In one embodiment of the charge wakeup device of a vehicle BMS according to the present invention, the charge wakeup device of a vehicle BMS includes a wireless communication module, a low voltage power supply module, and the control device described in the above embodiment of the control device. In the present embodiment, the wireless communication module is configured to receive a charge control instruction of the vehicle BMS and transmit the charge control instruction to the control device, and transmit a wake-up signal output by the control device to the vehicle BMS. The control device may be configured to generate a BMS wake-up instruction according to the charge control instruction, and to control the low-voltage power supply module to output a wake-up signal to a BMS in the vehicle according to the BMS wake-up instruction, to wake-up the BMS. Wherein, the voltage value of the low voltage signal that the low voltage power module can output depends on the voltage input value of the BMS. One example is: if the voltage input value of the BMS is 12V, the low voltage signal output from the low voltage power module may be a 12V voltage signal.

In one embodiment, the charge wakeup device of the vehicle BMS may include a communication multiplexing module. The communication multiplexing module is connected with the communication module in the charging device or the vehicle and may be configured to receive a charge control instruction of the vehicle BMS through the communication module in the charging device or the vehicle and transmit the charge control instruction of the vehicle BMS to the control device, and transmit a wake-up signal output from the control device to the vehicle BMS through the communication module in the charging device or the vehicle. Based on the communication multiplexing module, the charging awakening device can also receive a charging control instruction under the condition that the wireless communication module fails, and the vehicle BMS can also normally receive awakening information, so that the BMS is awakened normally.

In one embodiment, the charge wakeup device of the vehicle BMS may include a power multiplexing module. The power multiplexing module is connected with a vehicle-mounted low-voltage power supply of the vehicle and can be configured to control the vehicle-mounted low-voltage power supply to output a wake-up signal to a BMS in the vehicle according to a BMS wake-up control instruction output by the control device so as to wake up the BMS. Based on the communication multiplexing module, the charging wake-up device can also output a wake-up signal to the BMS under the condition that the low-voltage power supply module fails or has no electric quantity, so that the BMS is normally waken up.

Further, the invention also provides a vehicle charging system. In one embodiment of the vehicle charging system according to the present invention, the vehicle charging system may comprise a charging device and the charging wake-up device of the vehicle BMS described in the foregoing embodiment of the charging wake-up device of the vehicle BMS, which is provided on the charging device or the vehicle. In one embodiment, the charge wakeup device may be configured to receive a charge control instruction of the vehicle BMS and output a wakeup signal to the vehicle BMS through the wireless communication module. The charging control instruction of the vehicle BMS is acquired through the wireless communication technology, and then follow-up BMS awakening operation is executed according to the charging control instruction, so that the problem that the BMS cannot be awakened normally due to the fact that a signal cable is damaged when the BMS is awakened by a wired signal source in the prior art is solved.

In one embodiment, a vehicle charging system may include a background server. The background server may be configured to analyze whether the vehicle has a charging intention according to driving data of the vehicle or a charging request, and if the charging intention is present, send a charging control instruction of the vehicle BMS to a charging wake-up device of the vehicle BMS. In this embodiment, the background server is a server capable of performing a large-data-amount process in real time, and the background server is capable of storing a large amount of information on the charging device and the vehicle, and even if a large amount of information on the charging device/the vehicle is received, it is possible to quickly and accurately predict/analyze whether the vehicle has a charging intention. It is to be noted that, in this embodiment, a specific implementation method for analyzing whether a vehicle has a charging intention according to driving data or a charging request of the vehicle is similar to the method described in the foregoing embodiment of the charging wake-up method of the vehicle BMS, and for brevity of description, a description is omitted herein.

In one embodiment, the vehicle may include an in-vehicle controller that may be configured to analyze whether the vehicle has a charging intention according to driving data of the vehicle, and if the charging intention is present, to transmit a charging control instruction of the vehicle BMS to a charging wake-up device of the vehicle BMS. Due to the fact that the vehicle-mounted controller can collect driving data of the vehicle accurately in real time, through the configuration, whether the vehicle has a charging intention at the current moment or not can be rapidly analyzed by the vehicle-mounted controller, and if the charging intention exists, subsequent BMS awakening operation can be rapidly executed. It is to be noted that, in this embodiment, a specific implementation method for analyzing whether a vehicle has a charging intention according to driving data of the vehicle is similar to the method described in the foregoing embodiment of the charging wake-up method of the vehicle BMS, and for brevity of description, a description is omitted here.

In one embodiment, the charging wake-up device and the power battery of the vehicle are each provided on the vehicle body independently of each other. Further, in one embodiment, the charge wakeup device may be provided within a power battery of the vehicle. Based on the setting mode, if the vehicle adopts a power conversion mode to supplement energy, the charging wake-up device can be overhauled and maintained immediately after the power battery is detached from the vehicle, so that the flexibility and convenience of overhauling/maintaining the charging wake-up device are improved.

It will be appreciated by those skilled in the art that the present invention may implement all or part of the above-described methods according to the above-described embodiments, or may be implemented by means of a computer program for instructing relevant hardware, where the computer program may be stored in a computer readable storage medium, and where the computer program may implement the steps of the above-described embodiments of the method when executed by a processor. Wherein the computer program comprises computer program code which may be in source code form, object code form, executable file or some intermediate form etc. The computer readable medium may include: any entity or device, medium, usb disk, removable hard disk, magnetic disk, optical disk, computer memory, read-only memory, random access memory, electrical carrier wave signals, telecommunications signals, software distribution media, and the like capable of carrying the computer program code. It should be noted that the computer readable medium contains content that can be appropriately scaled according to the requirements of jurisdictions in which such content is subject to legislation and patent practice, such as in certain jurisdictions in which such content is subject to legislation and patent practice, the computer readable medium does not include electrical carrier signals and telecommunication signals.

Further, it should be understood that, since the respective modules are merely set for illustrating the functional units of the system of the present invention, the physical devices corresponding to the modules may be the processor itself, or a part of software in the processor, a part of hardware, or a part of a combination of software and hardware. Accordingly, the number of individual modules in the figures is merely illustrative.

Those skilled in the art will appreciate that the various modules in the system may be adaptively split or combined. Such splitting or combining of specific modules does not cause the technical solution to deviate from the principle of the present invention, and therefore, the technical solution after splitting or combining falls within the protection scope of the present invention.

Thus far, the technical solution of the present invention has been described in connection with one embodiment shown in the drawings, but it is easily understood by those skilled in the art that the scope of protection of the present invention is not limited to these specific embodiments. Equivalent modifications and substitutions for related technical features may be made by those skilled in the art without departing from the principles of the present invention, and such modifications and substitutions will fall within the scope of the present invention.

Claims

1. A method for waking up a vehicle BMS by charging, the method comprising:

receiving a charging control instruction;

wherein the charge control instruction is a wireless communication signal generated according to the charging intention of the current vehicle, and the wake-up signal is a wireless communication signal;

The charging intention of the vehicle comprises a charging intention predicted according to driving data of the vehicle;

2. The method for waking up the vehicle BMS according to claim 1, wherein the step of generating a BMS wake-up command according to the charge control command specifically includes:

3. The charge wakeup method of a vehicle BMS according to claim 2, wherein the step of predicting an optimal charge temperature of the power battery according to the state of charge specifically includes:

4. The method for waking up the vehicle BMS according to claim 1, wherein the step of controlling the preset low voltage power supply to output a wake-up signal to the vehicle BMS according to the BMS wake-up instruction to wake up the vehicle BMS specifically comprises:

5. The charge waking method of a vehicle BMS according to any one of claims 1 to 4, characterized in that after the BMS is woken up, the method further comprises:

6. A charging wake-up device of a vehicle BMS, the device comprising:

the charging awakening device comprises a charging intention prediction module, wherein the charging intention prediction module comprises a second charging intention prediction sub-module; the second charging intention prediction sub-module comprises a driving behavior data acquisition unit, a driving habit acquisition unit, an associated driving route acquisition unit and a second charging intention prediction unit; the driving behavior data acquisition unit is configured to acquire driving behavior data in the driving data; the driving behavior data comprise driving routes and time of the vehicle in the process from starting to stopping; the driving habit obtaining unit is configured to obtain driving habits corresponding to the driving behavior data based on a one-to-one correspondence between preset driving behaviors and driving habits; the driving habit comprises two driving routes which are associated in advance and the time corresponding to each driving route; the associated driving route obtaining unit is configured to obtain an associated driving route pre-associated with the driving route in the driving behavior data and a power battery power prediction value required by the associated driving route according to the driving habit; the second charging intention prediction unit is configured to acquire the residual electric quantity of the power battery after the vehicle stops, and judge whether the residual electric quantity is smaller than the electric quantity predicted value; if yes, determining that the vehicle has a charging intention.

7. The charge wakeup device of a vehicle BMS according to claim 6, wherein the wakeup control module includes an information judgment sub-module, a charge temperature prediction sub-module, a warm-up duration prediction sub-module, and an instruction generation sub-module;

8. The charge wakeup device of a vehicle BMS according to claim 7, further comprising:

9. The charge wakeup device of a vehicle BMS according to claim 6, further comprising:

10. The charge wakeup device of a vehicle BMS according to any one of claims 6 to 9, wherein the device further includes a BMS charge control module including a battery capacity acquisition sub-module and a battery charge control sub-module;

11. A storage device having stored therein a plurality of program codes, wherein the program codes are adapted to be loaded and executed by a processor to perform the charge wakeup method of a vehicle BMS according to any one of claims 1 to 5.

12. A control device comprising a processor and a storage device, the storage device being adapted to store a plurality of program codes, characterized in that the program codes are adapted to be loaded and run by the processor to perform the charge wakeup method of a vehicle BMS according to any one of claims 1 to 5.

13. A charging wake-up device of a vehicle BMS, characterized in that the device comprises a wireless communication module, a power supply module and the control device of claim 12;

14. The charge wakeup device of a vehicle BMS according to claim 13, further comprising a communication multiplexing module, the communication multiplexing module being connected to a charging device or a communication module in a vehicle;

15. The charge wakeup device of a vehicle BMS according to claim 13, further comprising a power multiplexing module connected to an on-board power supply of the vehicle;

16. A vehicle charging system, characterized in that the system comprises a charging device and a charging wake-up device of the vehicle BMS of any of claims 13 to 15, which is provided on the charging device or the vehicle.

17. The vehicle charging system of claim 16, further comprising a background server configured to analyze whether the vehicle has a charging intention based on driving data of the vehicle or a charging request, and if so, to send a charging control instruction of the vehicle BMS to a charging wake-up device of the vehicle BMS.

18. The vehicle charging system of claim 16, further comprising:

19. The vehicle charging system according to any one of claims 16 to 18, wherein the charge wake-up device and the power battery of the vehicle are provided on the vehicle body independently of each other, or the charge wake-up device is provided within the power battery of the vehicle.