Vehicle battery management method and device, electronic equipment and storage medium

Abstract

The application provides a vehicle battery management method and device, electronic equipment and a computer readable storage medium. The method comprises the following steps: reading a battery health degree of a vehicle battery; obtaining a driving mileage of the vehicle; predicting a health attenuation degree corresponding to the driving mileage of the vehicle battery by using a battery attenuation prediction model to obtain a first attenuation degree; determining a second attenuation degree generated by discharging the vehicle battery to a power grid based on the battery health degree and the first attenuation degree; and adjusting a discharging strategy of the vehicle battery based on the battery health degree and the second attenuation degree. By using the application, the health of the vehicle battery and the discharging demand can be well balanced.

Description

TECHNICAL FIELD

[0001] The present application relates to battery technology, in particular to a vehicle battery management method and device, electronic equipment and storage medium. BACKGROUND

[0002] With the promotion of new energy vehicles, the market of electric vehicles is rapidly expanding. New energy electric vehicles can be used as a mobile energy storage device and achieve two-way interconnection with the power grid, that is, vehicle to grid (V2G). If new energy electric vehicles can participate in the power grid on a large scale, they can help the power grid to timely absorb renewable energy and suppress load fluctuations. For the vehicle owner, the power grid can guide the acceptance of regulation or price signals and feed the power grid when needed to obtain economic benefits. V2G aims to achieve maximum mutual benefit between the vehicle owner and the power grid without affecting the user's use of electric vehicles.

[0003] Since V2G discharge will affect the life of the battery, at present, some host factories adopt a constant current method for V2G strategy, for example, in order to minimize the impact of V2G discharge on the life of the battery, the discharge current is set to a small value. However, this way of setting the minimum discharge current cannot meet the needs of the power grid and also reduces the discharge income of the vehicle owner, which goes against the principle of maximum mutual benefit between the vehicle owner and the power grid. SUMMARY

[0004] The embodiments of the present application provide a vehicle battery management method, device, electronic equipment and computer readable storage medium, which can better balance the health and discharge demand of the vehicle battery.

[0005] The technical solutions of the embodiments of the present application are as follows:

[0006] The embodiments of the present application provide a vehicle battery management method, comprising:

[0007] reading the battery health of the vehicle battery;

[0008] obtaining the driving mileage of the vehicle;

[0009] predicting the health degradation of the vehicle battery corresponding to the driving mileage through a battery degradation prediction model to obtain a first degradation;

[0010] determining a second degradation generated by the discharge of the vehicle battery to the power grid based on the battery health and the first degradation;

[0011] adjusting the discharge strategy of the vehicle battery based on the battery health and the second degradation.

[0012] In the scheme, the second attenuation degree generated by discharging the vehicle battery to the power grid is determined based on the battery health degree and the first attenuation degree, including:

[0013] The total attenuation degree of the vehicle battery is determined based on the battery health degree;

[0014] The second attenuation degree is determined based on the total attenuation degree and the first attenuation degree.

[0015] In the scheme, the discharge strategy of the vehicle battery is adjusted based on the battery health degree and the second attenuation degree, including:

[0016] If the battery health degree is greater than a target threshold, the number of remaining discharges of the vehicle battery is determined according to the second attenuation degree;

[0017] If the battery health degree is less than or equal to the target threshold, the vehicle battery stops discharging to the power grid.

[0018] In the scheme, the method further includes:

[0019] Obtain the battery attenuation prediction model sent by the vehicle-to-grid cloud platform;

[0020] The battery attenuation prediction model is constructed by the vehicle-to-grid cloud platform based on driving data of a plurality of target vehicles, the driving data at least includes driving mileage data and battery attenuation data, and the vehicle type of the target vehicle is the same as the vehicle type of the vehicle.

[0021] In the scheme, the method further includes:

[0022] Obtain the battery discharge data of a plurality of target vehicles, and determine the boundary condition during discharging based on the battery discharge data, so that the vehicle battery discharges to the power grid based on the boundary condition.

[0023] In the scheme, the boundary condition includes a discharge rate threshold.

[0024] In the scheme, the method further includes:

[0025] In response to the discharge request of the power grid, obtain the request current requested by the power grid;

[0026] Determine the target discharge rate of the vehicle battery corresponding to the request current;

[0027] If the target discharge rate is less than the discharge rate threshold, the vehicle battery discharges to the power grid at the request current;

[0028] If the target discharge rate is greater than or equal to the discharge rate threshold, the vehicle battery is discharged to the power grid at a discharge current corresponding to a preset discharge rate.

[0029] In the foregoing solution, the boundary condition comprises a battery temperature range.

[0030] In the foregoing solution, the method further comprises:

[0031] In response to a discharge request of the power grid, a battery temperature of the vehicle battery is obtained.

[0032] If the battery temperature is within the temperature range, the vehicle battery is controlled to discharge to the power grid.

[0033] If the battery temperature is outside the temperature range, the vehicle battery is caused to stop discharging to the power grid.

[0034] An embodiment of the present application provides a vehicle battery management device, comprising:

[0035] A reading module is configured to read a battery health of a vehicle battery.

[0036] An obtaining module is configured to obtain a driving mileage of the vehicle.

[0037] A prediction module is configured to predict, by using a battery degradation prediction model, a health degradation degree of the vehicle battery corresponding to the driving mileage, to obtain a first degradation degree.

[0038] A determination module is configured to determine, based on the battery health and the first degradation degree, a second degradation degree generated by discharging the vehicle battery to the power grid.

[0039] An adjustment module is configured to adjust a discharge strategy of the vehicle battery based on the battery health and the second degradation degree.

[0040] An embodiment of the present application provides an electronic device, comprising:

[0041] A memory is configured to store executable instructions.

[0042] A processor is configured to execute the executable instructions stored in the memory, to implement the vehicle battery management method provided in the embodiments of the present application.

[0043] An embodiment of the present application provides a computer readable storage medium, which stores executable instructions, and is configured to cause a processor to execute the vehicle battery management method provided in the embodiments of the present application.

[0044] The embodiment of the present application obtains the driving mileage of the vehicle by reading the battery health of the vehicle battery, predicts the health degradation degree of the vehicle battery corresponding to the driving mileage through a battery degradation prediction model, obtains a first degradation degree, determines a second degradation degree generated by discharging the vehicle battery to the power grid based on the battery health and the first degradation degree, and adjusts the discharging strategy of the vehicle battery based on the battery health and the second degradation degree. By combining the battery health and the battery degradation degree generated by discharging, the discharging strategy of the vehicle is adjusted, so that the health of the vehicle battery and the discharging demand can be well balanced. BRIEF DESCRIPTION OF DRAWINGS

[0045] Figure 1 is an optional structural schematic diagram of a V2G system 100 provided by the embodiment of the present application;

[0046] Figure 2 is an optional structural schematic diagram of an electronic device provided by the embodiment of the present application;

[0047] Figure 3 is an optional flow schematic diagram of a vehicle battery management method provided by the embodiment of the present application;

[0048] Figure 4 is an optional detailed flow schematic diagram of step 304 provided by the embodiment of the present application;

[0049] Figure 5 is an optional schematic diagram of the first degradation degree and the second degradation degree provided by the embodiment of the present application;

[0050] Figure 6 is an optional flow schematic diagram of a vehicle battery management method provided by the embodiment of the present application. DETAILED DESCRIPTION

[0051] In order to make the purpose, technical scheme and advantages of the present application clearer, the present application will be further described in detail below with reference to the drawings, and the described embodiments should not be regarded as limiting the present application. All other embodiments obtained by those skilled in the art without creative labor fall within the scope of protection of the present application.

[0052] In the following description, "some embodiments" are related to a subset of all possible embodiments, but it can be understood that "some embodiments" can be the same subset or different subsets of all possible embodiments, and can be combined with each other without conflict.

[0053] In the following description, the terms "first", "second", "third" are merely used to distinguish similar objects, and do not represent a specific order or sequence of the objects. Understandably, the "first", "second", "third" can be interchanged in a specific order or sequence as allowed, so that the embodiments described herein can be implemented in an order other than that illustrated or described herein.

[0054] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used in this application is for the purpose of describing embodiments of this application only and is not intended to be limiting of this application.

[0055] Before further detailing the embodiments of the present application, the terms and phrases involved in the embodiments of the present application are explained, and the terms and phrases involved in the embodiments of the present application are applicable to the following explanations.

[0056] 1) Battery health (SOH, state of health), the battery health is the percentage of the current capacity of the battery to the factory capacity. It can be understood that the battery health of the battery at the factory is 100%.

[0057] 2) State of charge (SOC), which can be understood as the percentage of the remaining battery capacity.

[0058] 3) Discharge rate, which refers to the current value required by the battery to discharge its rated capacity within a specified time, usually represented by the letter C. Discharge rate = discharge current / battery capacity. For example, a 1200mAh battery, 0.2C represents 240mA (0.2 times the rated capacity of 1200mAh), and 1C represents 1200mA (1 times the rated capacity of 1200mAh).

[0059] The current technology level of power batteries has achieved a full charge range cycle life of more than 2000 times at a 1C rate. Taking a private car as an example, assuming that a car has a battery range of 400km and a cycle life of 2000 times, the theoretical total mileage is 800,000km. If the car travels 100km per day and has a life cycle of 15 years, the total range is about 4 million km, and theoretically there is a 50% cycle life available for V2G service. However, in reality, battery aging is not only due to dynamic cycling, but also due to static storage, excessive deviation from normal temperature, and other factors that can cause life loss. There are differences in the battery life decay between vehicles. Therefore, it is necessary to study the impact of V2G on battery life and give reasonable V2G working condition limits, and to dynamically adjust the V2G working condition based on the current vehicle battery health to maximize the whole vehicle life cycle benefit.

[0060] Based on this, the application embodiment provides a vehicle battery management method and device, electronic equipment and computer readable storage medium, which can better balance the health and discharge requirements of the vehicle battery.

[0061] Firstly, the vehicle battery management system provided by the application embodiment is described, referring to Figure 1 , Figure 1 is an optional structural schematic diagram of the V2G system 100 provided by the application embodiment. The vehicle 103 is connected to the power grid 101 through the charging pile 102. In actual scenarios, not only can the charging pile 102 be used to charge the vehicle 103, but also can be used to input the capacity stored in the vehicle 103 battery into the power grid 101 in reverse.

[0062] Next, the electronic equipment provided by the application embodiment for implementing the above vehicle battery management method is described, referring to Figure 2 , Figure 2 is an optional structural schematic diagram of the electronic equipment 200 provided by the application embodiment. In actual application, the electronic equipment 200 can be implemented as a battery management system (BMS, Battery Management System) of a vehicle. Figure 2 The electronic equipment 200 shown in the figure includes at least one processor 201 and a memory 202. Each component in the electronic equipment 200 is coupled together through a bus system 203. It can be understood that the bus system 203 is used to realize the connection and communication between the components. In addition to the data bus, the bus system 203 also includes a power bus, a control bus and a status signal bus. However, in order to clearly illustrate, all kinds of buses are marked as the bus system 203 in Figure 2 .

[0063] The processor 201 can be an integrated circuit chip with signal processing capability, such as a general-purpose processor, a digital signal processor (DSP, Digital Signal Processor), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc., wherein the general-purpose processor can be a microprocessor or any conventional processor.

[0064] The memory 202 can be removable, non-removable or a combination thereof. The exemplary hardware devices include solid state memory, hard disk drive, optical disk drive, etc. The memory 202 optionally includes one or more storage devices physically away from the processor 201.

[0065] The memory 202 includes volatile memory or nonvolatile memory, and can include both volatile and nonvolatile memory. The nonvolatile memory can be read only memory (ROM), and the volatile memory can be random access memory (RAM). The memory 202 described in the embodiments of the present application is intended to include any suitable type of memory.

[0066] In some embodiments, the memory 202 can store data to support various operations, examples of which include programs, modules, and data structures or subsets or supersets thereof. In the embodiments of the present application, the memory 202 stores an operating system 2021 and a vehicle battery management device based on a multi-element configuration storage communication device 2022. Specifically,

[0067] The operating system 2021 includes system programs for processing various basic system services and performing hardware-related tasks, such as framework layers, core library layers, and driver layers, for implementing various basic services and processing hardware-based tasks.

[0068] In some embodiments, the vehicle battery management device based on a multi-element configuration storage communication device provided by the embodiments of the present application can be implemented in a software manner, Figure 2 The vehicle battery management device based on a multi-element configuration storage communication device 2022 stored in the memory 202 is shown, which can be software in the form of programs and plug-ins, including the following software modules: a reading module 20221, an obtaining module 20222, a prediction module 20223, a determination module 20224, and an adjustment module 20225. These modules are logical, so they can be combined or further split according to the functions implemented. The functions of each module will be described below.

[0069] In some embodiments, the vehicle battery management apparatus based on multi-element configuration storage communication device provided in the present application can be implemented in a hardware manner. For example, the vehicle battery management apparatus based on multi-element configuration storage communication device provided in the present application can be a hardware decoding processor programmed to execute the information configuration method based on multi-element configuration storage communication device provided in the present application. For example, the hardware decoding processor can be one or more application specific integrated circuits (ASICs), DSPs, programmable logic devices (PLDs), complex programmable logic devices (CPLDs), field programmable gate arrays (FPGAs), or other electronic elements.

[0070] The vehicle battery management method provided in the present application will be described in combination with exemplary applications and implementations of the terminal provided in the present application.

[0071] Referring to Figure 3 , Figure 3 is an optional flowchart of the vehicle battery management method provided in the present application, which will be described in combination with the steps shown in Figure 3 .

[0072] Step 301: reading a battery health degree of a vehicle battery;

[0073] Step 302: obtaining a driving mileage of the vehicle;

[0074] Step 303: predicting a health attenuation degree of the vehicle battery corresponding to the driving mileage by a battery attenuation prediction model, to obtain a first attenuation degree;

[0075] Step 304: determining a second attenuation degree generated by discharging the vehicle battery to a power grid based on the battery health degree and the first attenuation degree;

[0076] Step 305: adjusting a discharging strategy of the vehicle battery based on the battery health degree and the second attenuation degree.

[0077] In actual implementation, the BMS can adjust the discharging strategy once every interval of a monitoring period. That is, the BMS can read the battery health of the vehicle battery when the monitoring period arrives. Then, the current mileage of the vehicle is obtained. Here, the mileage refers to the total mileage of the vehicle after leaving the factory. After obtaining the mileage, the first degree of attenuation is obtained by predicting the battery attenuation model based on the mileage. In actual implementation, the driving behavior of the vehicle will affect the battery health of the vehicle battery, causing attenuation, and the discharging behavior of the vehicle to the power grid will also cause attenuation of the battery health of the vehicle battery. Here, the battery attenuation prediction model is used to predict the attenuation caused by the driving behavior of the vehicle to the battery health to obtain the first degree of attenuation.

[0078] Then, the BMS determines the second degree of attenuation caused by the discharging of the vehicle battery to the power grid based on the first degree of attenuation and the battery health. Here, the second degree of attenuation is the historical degree of attenuation caused by the discharging behavior of the vehicle battery. In some embodiments, referring to Figure 4 , Figure 4 is an optional detailed flowchart of step 304 provided by the embodiments of the present application, and step 304 can be implemented in the following manner:

[0079] Step 3041, determining the total degree of attenuation of the vehicle battery based on the battery health.

[0080] Step 3042, determining the second degree of attenuation based on the total degree of attenuation and the first degree of attenuation.

[0081] In actual implementation, the total degree of attenuation of the vehicle battery is determined based on the battery health. Here, the total degree of attenuation is the difference between the factory battery health of the vehicle battery and the battery health. The factory battery health is, for example, 100%. In actual scenarios, the factory battery health can also be a value close to 100%, which is not limited in the embodiments of the present application. After obtaining the total degree of attenuation, the difference between the total degree of attenuation and the first degree of attenuation is calculated, and the difference is determined as the second degree of attenuation.

[0082] In actual implementation, after obtaining the second degree of attenuation, the discharging strategy of the vehicle battery is adjusted in combination with the battery health and the second degree of attenuation. Here, the discharging strategy at least includes the remaining number of times of discharging the vehicle battery to the power grid. In some embodiments, step 305 can be implemented in the following manner: if the battery health is greater than a target threshold, determining the remaining number of times of discharging the vehicle battery according to the second degree of attenuation; and if the battery health is less than or equal to the target threshold, stopping the vehicle battery from discharging to the power grid.

[0083] In actual implementation, the size between the battery health degree and the target threshold is compared. In actual scenarios, the battery health degree of the vehicle is usually required to be greater than 80%, and the target threshold can be set to 80%. If the battery health degree is greater than the target threshold, the remaining discharge times of the vehicle battery are determined according to the second attenuation degree. Here, the historical discharge data of the vehicle can be obtained, and the historical discharge data includes the historical discharge times and the discharge attenuation degree of the vehicle battery corresponding to each historical discharge. Based on the historical discharge data, a discharge attenuation model is constructed, and the remaining discharge times of the vehicle are predicted based on the second attenuation degree through the discharge attenuation model, and the remaining discharge times currently stored by the vehicle are adjusted to the predicted remaining discharge times. In actual implementation, the vehicle has a corresponding initial remaining discharge times, which can be set when the vehicle is manufactured, or can be set by the user of the vehicle. The battery attenuation caused by each discharge of the vehicle is recorded and stored, and the current remaining discharge times of the vehicle are adjusted in each monitoring period.

[0084] In some embodiments, before step 301, the method further comprises: obtaining a battery attenuation prediction model sent by a vehicle-network cloud platform; wherein the battery attenuation prediction model is constructed by the vehicle-network cloud platform based on driving data of a plurality of target vehicles, the driving data at least includes driving mileage data and battery attenuation data, and the vehicle model of the target vehicle is the same as the vehicle model of the vehicle.

[0085] In actual implementation, the BMS can obtain the driving data of a plurality of target vehicles, and construct a battery attenuation prediction model based on the driving data. Here, the target vehicle can upload a plurality of data (driving data) in the vehicle use process according to the data reporting requirements specified in GB / T3296.3. The vehicle-network cloud platform collects and filters the related items of the vehicle whole battery life attenuation, including driving mileage, charging rate, temperature, battery SOC range, vehicle online time length and battery attenuation data. The collected data is divided by the state of a single vehicle and combined across days, and the same state of multiple vehicles is combined and placed in the statistical field of the partition, and finally the segmented label big data is obtained. After processing the data, according to the characteristics of the power battery, the characteristics that may affect the total capacity attenuation of the battery are constructed, the factors affecting the capacity attenuation are sorted by a linear regression model, and the battery attenuation and driving mileage model prediction line are drawn after filtering. The prediction line (battery attenuation prediction model) represents the corresponding relationship between the driving mileage of the vehicle and the first attenuation degree. The battery attenuation degree corresponding to the warranty driving mileage is Rdrive. The battery life attenuation (second attenuation degree) available for V2G use is usually greater than 80% of the battery health degree of the electric vehicle, and the range is RV2G=20%-Rdrive. See Figure 5 , Figure 5is an optional schematic diagram of the first attenuation degree and the second attenuation degree provided by the embodiment of the present application. Here, the vehicle travels 200,000 kilometers, and the battery average health degree attenuation degree of the plurality of target vehicles is 10%. The electric vehicle battery health degree requirement is generally greater than 80%, and therefore the vehicle theoretical battery life attenuation available for V2G service accounts for 10% of the vehicle life cycle attenuation.

[0086] In actual implementation, the BMS reads the battery health degree (measured SOH%) in the monitoring period and compares it with the RV2G+Rdrive value. If (100%-measured SOH%)≤RV2G+Rdrive, the original V2G working condition and the remaining discharge times are maintained; if (100%-measured SOH%)>RV2G+Rdrive, the vehicle stops using the V2G function to avoid affecting the normal use of the vehicle within the warranty period.

[0087] In some embodiments, the method further comprises obtaining battery discharge data of a plurality of target vehicles, determining a boundary condition at the time of discharge based on the battery discharge data, and causing the vehicle battery to discharge to the power grid based on the boundary condition. In an embodiment, the boundary condition comprises a discharge rate threshold. Specifically, in an embodiment, the method further comprises, in response to a discharge request of the power grid, obtaining a request current requested by the power grid; determining a target discharge rate of the vehicle battery corresponding to the request current; if the target discharge rate is less than the discharge rate threshold, causing the vehicle battery to discharge to the power grid at the request current; and if the target discharge rate is greater than or equal to the discharge rate threshold, causing the vehicle battery to discharge to the power grid at a discharge current corresponding to a preset discharge rate.

[0088] In actual implementation, the BMS obtains a request current requested by the power grid in response to a discharge request of the power grid. Then, based on the current battery capacity of the vehicle battery, the target discharge rate of the vehicle battery is determined. If the target discharge rate is less than the discharge rate threshold, the vehicle battery is controlled to discharge to the power grid at the request current. If the target discharge rate is greater than or equal to the discharge rate threshold, the vehicle battery is controlled to discharge to the power grid at a discharge current corresponding to a preset discharge rate. Here, the discharge rate threshold can be, for example, 1C, and the preset discharge rate can also be 1C. In actual scenarios, the values of the discharge rate threshold and the preset discharge rate can be the same or different, and the specific sizes of the two can be set according to actual needs.

[0089] In some embodiments, the boundary condition comprises a battery temperature range. In an embodiment, the method further comprises, in response to a discharge request of the power grid, obtaining a battery temperature of the vehicle battery; if the battery temperature is within the battery temperature range, controlling the vehicle battery to discharge to the power grid; and if the battery temperature is outside the battery temperature range, causing the vehicle battery to stop discharging to the power grid.

[0090] In actual implementation, the current battery temperature of the vehicle battery is obtained, and if the battery temperature is within the battery temperature range, the vehicle battery is controlled to discharge to the power grid, otherwise not to the power grid. Here, the battery temperature range may be, for example, 15℃-25℃.

[0091] In some embodiments, taking the battery carried by the vehicle model corresponding to the vehicle as an example, it can be confirmed that temperature and rate are the main factors affecting the service life of the battery. According to the battery discharge data of the target vehicle of a plurality of corresponding vehicle models, the boundary conditions include: battery temperature ≤25℃, discharge rate ≤1C. Within this range of working conditions, the same decay rate corresponds to a higher throughput, and the battery will not rapidly decay due to abuse. As shown in the following table:

[0092] Temperature (°C) Discharge rate (C) Total throughput (kwh) 25 0.5 97152 25 1 92400

[0093] Referring to Figure 6 , Figure 6 is an optional flowchart of the vehicle battery management method provided by the embodiments of the present application. Specifically,

[0094] Step 601, receiving a V2G discharge request;

[0095] Step 602, judging whether the measured SOH is greater than or equal to the target threshold value, if yes, executing step 603, otherwise executing step 608.

[0096] Step 603, judging whether the battery temperature is within the battery temperature range, if yes, executing step 604, otherwise executing step 608.

[0097] Step 604, judging whether the request current corresponding to the discharge request is greater than or equal to the discharge rate threshold value, if yes, executing step 605, otherwise executing step 606.

[0098] Step 605, controlling the vehicle battery to discharge at the discharge current corresponding to the preset discharge rate, and executing step 607.

[0099] Step 606, controlling the vehicle battery to discharge at the request current, and executing step 607.

[0100] Step 607, judging whether the discharge cutoff condition is reached, if yes, executing step 608, otherwise returning to step 604.

[0101] Step 608, stopping the V2G discharge.

[0102] Here, the target threshold is 100% - (RV2G + Rdrive), with RV2G + Rdrive ≤ 20%. The battery temperature range is 15°C - 25°C. The discharge rate threshold can be 1C. The preset discharge rate can be 1C. The discharge cutoff condition can be, for example, reaching a preset discharge time.

[0103] In the embodiments of the present application, the battery health of the vehicle battery is read to obtain the driving mileage of the vehicle, the health degradation of the vehicle battery corresponding to the driving mileage is predicted through a battery degradation prediction model to obtain a first degradation, the second degradation generated by discharging the vehicle battery to the power grid is determined based on the battery health and the first degradation, and the discharge strategy of the vehicle battery is adjusted based on the battery health and the second degradation. By combining the battery health and the battery degradation generated by discharging, the discharge strategy of the vehicle is adjusted, so that the health of the vehicle battery and the discharge demand can be well balanced.

[0104] The following continues to illustrate an exemplary structure of the vehicle battery management device 2022 provided by the embodiments of the present application as a software module. In some embodiments, as shown in Figure 2 The software module stored in the vehicle battery management device 2022 of the memory 202 can include:

[0105] The reading module 20221 is configured to read the battery health of the vehicle battery.

[0106] The obtaining module 20222 is configured to obtain the driving mileage of the vehicle.

[0107] The prediction module 20223 is configured to predict the health degradation of the vehicle battery corresponding to the driving mileage through a battery degradation prediction model to obtain a first degradation.

[0108] The determination module 20224 is configured to determine the second degradation generated by discharging the vehicle battery to the power grid based on the battery health and the first degradation.

[0109] The adjustment module 20225 is configured to adjust the discharge strategy of the vehicle battery based on the battery health and the second degradation.

[0110] In some embodiments, the determination module 20224 is further configured to determine the total degradation of the vehicle battery based on the battery health, and determine the second degradation based on the total degradation and the first degradation.

[0111] In some embodiments, the adjusting module 20225 is further configured to, if the battery health is greater than a target threshold, determine the number of remaining discharges of the vehicle battery according to the second attenuation degree; and if the battery health is less than or equal to the target threshold, stop discharging the vehicle battery to the power grid.

[0112] In some embodiments, the apparatus further includes a model obtaining module configured to obtain a battery attenuation prediction model sent by a vehicle-grid cloud platform, wherein the battery attenuation prediction model is constructed by the vehicle-grid cloud platform based on driving data of a plurality of target vehicles, the driving data at least including driving mileage data and battery attenuation data, and the target vehicles having the same vehicle model as the vehicle.

[0113] In some embodiments, the apparatus further includes a boundary condition determining module configured to obtain battery discharge data of a plurality of target vehicles, and determine a boundary condition at the time of discharging based on the battery discharge data, so that the vehicle battery discharges to the power grid based on the boundary condition.

[0114] In some embodiments, the boundary condition includes a discharge rate threshold.

[0115] In some embodiments, the apparatus further includes a first discharging module configured to, in response to a discharging request of the power grid, obtain a requested current requested by the power grid, determine a target discharge rate of the vehicle battery corresponding to the requested current, and if the target discharge rate is less than the discharge rate threshold, cause the vehicle battery to discharge to the power grid at the requested current, and if the target discharge rate is greater than or equal to the discharge rate threshold, cause the vehicle battery to discharge to the power grid at a discharging current corresponding to a preset discharge rate.

[0116] In some embodiments, the boundary condition includes a battery temperature range.

[0117] In some embodiments, the apparatus further includes a second discharging module configured to, in response to a discharging request of the power grid, obtain a battery temperature of the vehicle battery, and if the battery temperature is within the temperature range, control the vehicle battery to discharge to the power grid, and if the battery temperature is outside the temperature range, cause the vehicle battery to stop discharging to the power grid.

[0118] It should be noted that the description of the apparatus embodiments of the present application is similar to the description of the above method embodiments, and has similar beneficial effects as the method embodiments, and thus is not described herein.

[0119] The embodiment of the present application provides a computer program product or computer program, the computer program product or computer program includes computer instructions, and the computer instructions are stored in a computer readable storage medium. The processor of the computer equipment reads the computer instructions from the computer readable storage medium, and the processor executes the computer instructions, so that the computer equipment executes the vehicle battery management method provided in the embodiment of the present application.

[0120] The embodiment of the present application provides a computer readable storage medium storing executable instructions, wherein the executable instructions are stored, and when the executable instructions are executed by a processor, the processor will execute the vehicle battery management method provided by the embodiment of the present application.

[0121] In some embodiments, the computer readable storage medium can be FRAM, ROM, PROM, EPROM, EEPROM, flash memory, magnetic surface memory, optical disc or CD-ROM and the like memory, and can also be various devices including one or any combination of the above memories.

[0122] In some embodiments, the executable instructions can be in the form of programs, software, software modules, scripts or codes, written in any form of programming language (including compiled or interpreted languages, or declarative or procedural languages), and can be deployed in any form, including being deployed as independent programs or being deployed as modules, components, subroutines or other units suitable for use in a computing environment.

[0123] As an example, the executable instructions can but not necessarily correspond to files in a file system, can be stored in a part of a file storing other programs or data, for example, stored in one or more scripts in a hyper text markup language (HTML, Hyper Text Markup Language) document, stored in a single file dedicated to the program in question, or stored in multiple cooperative files (for example, files storing one or more modules, subroutines or code portions).

[0124] As an example, the executable instructions can be deployed to execute on one computing device, or on multiple computing devices located in one place, or on multiple computing devices distributed in multiple places and interconnected through a communication network.

[0125] In summary, through the embodiment of the present application, the health and discharge demand of the vehicle battery can be well balanced.

[0126] The above is only an embodiment of the present application, and is not used to limit the protection scope of the present application. Any modification, equivalent replacement and improvement made within the spirit and scope of the present application are included in the protection scope of the present application.

Claims

1. A vehicle battery management method, characterized by, The method comprises: reading a battery health of a vehicle battery; obtaining a driving mileage of the vehicle; predicting, by a battery degradation prediction model, a health degradation degree of the vehicle battery corresponding to the driving mileage, to obtain a first degradation degree; determining, based on the battery health and the first degradation degree, a second degradation degree generated by discharging the vehicle battery to a power grid; adjusting a discharging strategy of the vehicle battery based on the battery health and the second degradation degree; The determining, based on the battery health and the first degradation degree, of the second degradation degree generated by discharging the vehicle battery to the power grid comprises: determining, based on the battery health, a total degradation degree of the vehicle battery; determining, based on the total degradation degree and the first degradation degree, the second degradation degree; The adjusting of the discharging strategy of the vehicle battery based on the battery health and the second degradation degree comprises: if the battery health is greater than a target threshold, determining, according to the second degradation degree, a remaining discharging frequency of the vehicle battery; if the battery health is less than or equal to the target threshold, stopping the vehicle battery from discharging to the power grid; obtaining battery discharging data of a plurality of target vehicles, and determining a boundary condition at the time of discharging based on the battery discharging data, so that the vehicle battery discharges to the power grid based on the boundary condition; The boundary condition comprises a discharging rate threshold; in response to a discharging request of the power grid, obtaining a requested current requested by the power grid; determining a target discharging rate of the vehicle battery corresponding to the requested current; if the target discharging rate is less than the discharging rate threshold, causing the vehicle battery to discharge to the power grid at the requested current; if the target discharging rate is greater than or equal to the discharging rate threshold, causing the vehicle battery to discharge to the power grid at a discharging current corresponding to a preset discharging rate.

2. The method of claim 1, wherein, The method further comprises: obtaining a battery degradation prediction model sent by a vehicle-grid cloud platform; The vehicle-grid cloud platform constructs the battery degradation prediction model based on driving data of a plurality of target vehicles, and the driving data at least comprises driving mileage data and battery degradation data, and the vehicle type of the target vehicles is the same as the vehicle type of the vehicle.

3. The method of claim 1, wherein, The boundary condition comprises a battery temperature range.

4. The method of claim 3, wherein, The method further comprises: in response to a discharging request of the power grid, obtaining a battery temperature of the vehicle battery; if the battery temperature is within the battery temperature range, controlling the vehicle battery to discharge to the power grid; if the battery temperature is outside the battery temperature range, causing the vehicle battery to stop discharging to the power grid.

5. A vehicle battery management device, characterized by, The method comprises: a reading module configured to read a battery health of a vehicle battery; an obtaining module configured to obtain a driving mileage of the vehicle; a prediction module configured to predict, by a battery degradation prediction model, a health degradation degree of the vehicle battery corresponding to the driving mileage, to obtain a first degradation degree; a determination module configured to determine, based on the battery health and the first degradation degree, a second degradation degree generated by discharging the vehicle battery to a power grid; The determination module is further configured to determine a total attenuation degree of the vehicle battery based on the battery health degree, and determine the second attenuation degree based on the total attenuation degree and the first attenuation degree; The adjustment module is configured to adjust a discharge strategy of the vehicle battery based on the battery health degree and the second attenuation degree; The adjustment module is further configured to determine a remaining discharge frequency of the vehicle battery according to the second attenuation degree if the battery health degree is greater than a target threshold value; If the battery health degree is less than or equal to the target threshold value, stop discharging the vehicle battery to the power grid; The boundary condition determination module is configured to obtain battery discharge data of a plurality of target vehicles, determine a boundary condition at the time of discharging based on the battery discharge data, and discharge the vehicle battery to the power grid based on the boundary condition; the boundary condition includes a discharge rate threshold value; The first discharge module is configured to obtain a requested current requested by the power grid in response to a discharge request of the power grid, and determine a target discharge rate of the vehicle battery corresponding to the requested current; If the target discharge rate is less than the discharge rate threshold value, the vehicle battery is caused to discharge to the power grid at the requested current; if the target discharge rate is greater than or equal to the discharge rate threshold value, the vehicle battery is caused to discharge to the power grid at a discharge current corresponding to a preset discharge rate.

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