New energy automobile battery management method and system and new energy automobile

Abstract

The invention provides a new energy automobile battery management method and system, a new energy automobile and electronic device.The method comprises the steps that the real-time voltage of a battery is monitored, and surplus electric quantity is obtained; transferring the surplus electric quantity, and obtaining internal resistance data of the battery in the electric quantity transferring process; constructing a life prediction model according to the internal resistance data of the battery and the charge-discharge cycle index data to obtain the life of the battery; performing charging control on the battery according to the service life of the battery; and performing discharge control on the battery according to the service life of the battery. According to the invention, the equalization capability of the electric quantity of the battery can be enhanced, the charge and discharge control of healthy management is optimized, the discharge safety is ensured, the safety monitoring in the charge and discharge process of the battery is improved, the stability of voltage monitoring is improved, and the optimal management of the battery is realized.

Description

Technical Field

[0001] The present application relates to the field of battery management technology, and more specifically, to a new energy vehicle battery management method, system, new energy vehicle, and electronic equipment. Background Art

[0002] At present, the development of new energy vehicles is mainly powered by batteries. Therefore, battery management of new energy vehicles is crucial to the development of new energy vehicles. Moreover, as the core energy storage unit of new energy vehicles, the performance and management efficiency of batteries directly affect the vehicle's range, safety and service life. Effective battery management can ensure that the battery operates in the best condition, improve energy utilization efficiency, extend battery life, thereby reducing user costs and improving the overall user experience.

[0003] However, existing technologies for managing new energy vehicle batteries usually rely on voltage and current monitoring, which has low monitoring accuracy and is not precise enough in regulating charging and discharging. This makes it impossible to accurately judge the actual state of the battery. Existing technologies focus on basic charging and discharging control processes, lack battery health management, power balancing, and safety monitoring, and are difficult to adapt to different types of batteries and changing operating conditions. They lack flexibility and scalability, which limits further improvement in battery performance. Summary of the Invention

[0004] The purpose of this application is to provide a new energy vehicle battery management method, system, new energy vehicle and electronic equipment, which can enhance the battery power balancing capability, optimize health management charging and discharging control, ensure discharge safety, improve safety monitoring of the battery charging and discharging process, improve the stability of voltage monitoring, and realize optimized management of the battery.

[0005] In a first aspect, an embodiment of the present application provides a new energy vehicle battery management method, the method comprising: Monitoring the real-time voltage of the battery to obtain excess power; Transferring the excess electricity and obtaining battery internal resistance data during the electricity transfer process; Constructing a life prediction model based on the battery internal resistance data and the charge and discharge cycle number data to obtain the battery life; controlling charging of the battery according to the battery life; The discharge of the battery is controlled according to the battery life.

[0006] In the above implementation process, by real-time monitoring of the battery voltage and transferring excess power, the battery charging and discharging control is finally achieved, which can enhance the battery power balancing ability, optimize health management charging and discharging control, ensure discharge safety, improve safety monitoring of the battery charging and discharging process, improve the stability of voltage monitoring, and achieve optimized battery management.

[0007] Furthermore, the step of monitoring the real-time voltage of the battery to obtain excess power includes: Acquiring voltage data of the battery; filtering the voltage data using a sliding average filter to obtain filtered voltage data; Determining whether the filtered voltage data exceeds a preset voltage threshold; If so, the excess power is obtained.

[0008] In the above implementation process, the battery voltage data is filtered and then judged whether it exceeds the voltage threshold to obtain excess power, thereby ensuring the accuracy of the voltage data and providing a reliable basis for battery management.

[0009] Furthermore, the step of transferring the excess electricity and obtaining battery internal resistance data during the electricity transfer process includes: Controlling the power transfer switch to transfer the excess power from the high-power battery pack to the low-power battery pack in the battery; Obtain battery impedance data at different frequencies during the transfer process; The battery impedance data is fitted to obtain the battery internal resistance data.

[0010] In the above implementation process, by transferring excess power, the excess power can be consumed, the charge of each single battery in the battery pack can be balanced, and the overall use efficiency and service life of the battery can be improved.

[0011] Furthermore, the step of controlling the charging of the battery according to the battery life includes: developing a charging strategy based on the battery life; Obtaining the charging state during the charging process according to the charging strategy, and obtaining battery power change data and charging current change data; The charging power is adjusted according to the battery power change data and the charging current change data to achieve charging control.

[0012] In the above implementation process, controlling the battery charging and formulating a suitable charging strategy can improve the battery safety performance. Dynamically adjusting the charging power can avoid overcharging or uneven charging, protect battery safety, and improve battery charging efficiency.

[0013] Furthermore, the step of controlling the discharge of the battery according to the battery life includes: Linearly dividing the discharge curve of the battery according to the battery life to obtain multiple sub-discharge curves; Get the maximum discharge power corresponding to each sub-discharge curve; If the maximum discharge power exceeds the maximum discharge power threshold, the discharge current is reduced to achieve discharge control of the battery.

[0014] In the above implementation process, the discharge of the battery is controlled to monitor the discharge process, ensure the safety and reliability of the discharge process, make the battery operate within a safe range, limit the discharge power, and prevent safety problems caused by excessive power.

[0015] Furthermore, after the step of controlling the discharge of the battery according to the battery life, the method further includes: The battery is protected from power failure.

[0016] In the above implementation process, power-off protection of the battery can prevent sudden abnormal conditions of the battery, providing more protection for battery use and personnel safety.

[0017] Furthermore, the step of performing power-off protection on the battery includes: Acquiring voltage data and current data of the battery; Determining whether the voltage data is within a voltage protection threshold; If not, activate the voltage protection mechanism and cut off the connection between the battery and the new energy vehicle; Determining whether the current data exceeds a preset threshold; If so, the battery is disconnected and the connection between the battery and the new energy vehicle is cut off.

[0018] In the above implementation process, safety issues caused by battery short circuit can be effectively avoided, providing an effective guarantee for battery life, effectively improving battery utilization efficiency, and improving safety during battery use.

[0019] In a second aspect, an embodiment of the present application further provides a new energy vehicle battery management system, the system comprising: A data acquisition module is used to monitor the real-time voltage of the battery and obtain excess power; A power balancing module is used to transfer the excess power and obtain battery internal resistance data during the power transfer process; A battery health management module is used to build a life prediction model based on the battery internal resistance data and the charge and discharge cycle number data to obtain the battery life; a charging control module, configured to control charging of the battery according to the battery life; A discharge control module is used to control the discharge of the battery according to the battery life.

[0020] In the above implementation process, by real-time monitoring of the battery voltage and transferring excess power, the battery charging and discharging control is finally achieved, which can enhance the battery power balancing ability, optimize health management charging and discharging control, ensure discharge safety, improve safety monitoring of the battery charging and discharging process, improve the stability of voltage monitoring, and achieve optimized battery management.

[0021] In a third aspect, an embodiment of the present application provides a new energy vehicle, comprising the new energy vehicle battery management system of the second aspect.

[0022] In a fourth aspect, an embodiment of the present application provides an electronic device, comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the method described in any one of the first aspects when executing the computer program.

[0023] In a fifth aspect, an embodiment of the present application provides a computer-readable storage medium, on which instructions are stored. When the instructions are executed on a computer, the computer executes the method as described in any one of the first aspects.

[0024] Other features and advantages of the present disclosure will be set forth in the following description, or some features and advantages may be inferred or unambiguously determined from the description, or may be learned by practicing the above-mentioned technology of the present disclosure.

[0025] It can be implemented according to the contents of the specification. The following is a detailed description of the preferred embodiments of the present application with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following is a brief introduction to the drawings required for use in the embodiments of the present application. It should be understood that the following drawings only show certain embodiments of the present application and therefore should not be regarded as limiting the range values. For ordinary technicians in this field, other relevant drawings can be obtained based on these drawings without creative work.

[0027] Figure 1 A flow chart of a new energy vehicle battery management method provided in an embodiment of the present application; Figure 2 A schematic diagram of the structure of a new energy vehicle battery management system provided in an embodiment of the present application; Figure 3A schematic diagram of the structure of a new energy vehicle battery management system provided in an embodiment of the present application; Figure 4 A schematic diagram of the structural composition of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0028] The technical solutions in the embodiments of the present application will be described below in conjunction with the drawings in the embodiments of the present application.

[0029] It should be noted that similar reference numerals and letters represent similar items in the following drawings. Therefore, once an item is defined in one drawing, it does not need to be further defined or explained in subsequent drawings. At the same time, in the description of this application, the terms "first", "second", etc. are only used to distinguish the description and should not be understood as indicating or implying relative importance.

[0030] The following embodiments are used to illustrate the present invention, but are not intended to limit the scope of the present invention.

[0031] Existing technologies for managing new energy vehicle batteries typically rely on voltage and current monitoring, which has low monitoring accuracy and imprecise control of charging and discharging, making it impossible to accurately judge the actual battery status. Furthermore, existing technologies focus solely on basic charge and discharge control processes, lacking battery health management, charge balancing, and safety monitoring. This makes it difficult to adapt to different types of batteries and changing operating conditions, and lacks flexibility and scalability, limiting further improvements in battery performance.

[0032] This application discloses a battery management method that can improve the measurement accuracy of voltage and current, enhance the battery power balancing capability, and optimize battery health management. At the same time, it can ensure discharge safety, improve safety monitoring, achieve efficient communication, and optimize predictive management. It has stronger scalability and provides effective assistance for the safe use of batteries.

[0033] Example 1 Figure 1 This is a flow chart of a new energy vehicle battery management method provided by an embodiment of the present application. Figure 1 As shown, the method includes: S1, monitors the real-time voltage of the battery to obtain excess power; S2, transferring the excess power and obtaining the battery internal resistance data during the power transfer process; S3, constructing a life prediction model based on the battery internal resistance data and the charge and discharge cycle number data to obtain the battery life; S4, controlling the battery charging according to the battery life; S5, controlling the discharge of the battery according to the battery life.

[0034] In the above implementation process, by real-time monitoring of the battery voltage and transferring excess power, the battery charging and discharging control is finally achieved, which can enhance the battery power balancing ability, optimize health management charging and discharging control, ensure discharge safety, improve safety monitoring of the battery charging and discharging process, improve the stability of voltage monitoring, and achieve optimized battery management.

[0035] Furthermore, S1 includes: Get the battery voltage data; Filtering the voltage data according to a sliding average filter to obtain filtered voltage data; Determine whether the filtered voltage data exceeds a preset voltage threshold; If so, excess power is obtained.

[0036] In the above implementation process, the battery voltage data is filtered and then judged whether it exceeds the voltage threshold to obtain excess power, thereby ensuring the accuracy of the voltage data and providing a reliable basis for battery management.

[0037] In an embodiment of the present application, a voltage sensor is used to measure the voltage of each single cell of the battery pack in real time to improve the accuracy of voltage measurement. The real-time monitoring and collection of data also includes monitoring the battery temperature, monitoring the temperature of the battery pack to prevent overheating or low temperature from affecting battery performance, and correcting battery performance deviations at different temperatures.

[0038] This application uses a high-precision voltage sensor to collect battery voltage in real time, converts the collected voltage data into a digital signal, and then uses a sliding average filter instead of a Kalman filter to reduce noise and improve the accuracy of voltage measurement.

[0039] ; in, is the filtered voltage data, is the voltage data, and N is the size of the sliding window.

[0040] When calculating the filtered voltage data, by adjusting the size of the sliding window N and balancing the filtering effect and real-time performance, noise can be effectively reduced and the accuracy and stability of voltage measurement can be improved.

[0041] The embodiment of the present application also uses a thermistor as a temperature sensor to monitor the battery temperature in real time, convert the temperature into a resistance value, and obtain the actual temperature value through linearization processing. Necessary corrections are made based on the impact of temperature on battery performance to ensure that the battery operates within the optimal temperature range and extend battery life.

[0042] The preset voltage threshold is a reasonable voltage threshold set according to the operating voltage range of the battery pack. When the voltage of a battery pack exceeds the threshold, the startup resistor consumes its excess power.

[0043] Furthermore, S2 includes: Controlling the power transfer switch to transfer excess power from the high-power battery pack to the low-power battery pack in the battery; Obtain battery impedance data at different frequencies during the transfer process; The battery impedance data is fitted to obtain the battery internal resistance data.

[0044] In the above implementation process, by transferring excess power, the excess power can be consumed, the charge of each single battery in the battery pack can be balanced, and the overall use efficiency and service life of the battery can be improved.

[0045] In the embodiments of the present application, the battery charge balancing process includes active balancing and passive balancing. Passive balancing uses a balancing technology based on battery charge and voltage to dissipate excess power through resistors to balance the charge of each single cell in the battery pack. Active balancing is used to transfer excess power from cells with high charge to cells with low charge to improve the overall efficiency of the battery pack. Dynamic charge balancing is used to optimize the charge distribution of the battery pack. The embodiments of the present application focus on active balancing of battery charge, which can more flexibly control battery charge and improve management efficiency.

[0046] The embodiment of the present application measures the internal resistance of the battery based on AC impedance testing and digital signal processing to determine the health status of the battery.

[0047] By consuming excess electricity, the charge of each single cell in the battery pack can be balanced, thereby improving the overall efficiency.

[0048] This application uses capacitors or inductors as energy transfer elements to transfer excess power from a high-power battery to a low-power battery.

[0049] This application uses the frequency scanning method to measure the battery impedance at different frequencies and obtain the battery internal resistance data through curve fitting.

[0050] In S3, in an embodiment of the present application, a life prediction model is constructed based on the battery internal resistance data and the charge and discharge cycle number data to obtain the battery life. The model is trained and optimized using a machine learning algorithm, which can accurately measure the battery internal resistance, evaluate the battery health status, and promptly detect potential problems.

[0051] The charge and discharge cycle data is obtained by recording the changes in power during each charge and discharge, and the total cycle power is accumulated to predict the battery life based on this. Analyzing the charge and discharge cycle data can accurately evaluate the battery service life and provide a basis for battery replacement.

[0052] Predicting battery life can help users rationally arrange battery usage and maintenance plans and reduce usage costs.

[0053] Furthermore, S4 includes: Develop charging strategies based on battery life; Obtain the charging status during the charging process according to the charging strategy, and obtain the battery power change data and charging current change data; The charging power is adjusted according to the battery power change data and the charging current change data to achieve charging control.

[0054] In the above implementation process, controlling the battery charging and formulating a suitable charging strategy can improve the battery safety performance. Dynamically adjusting the charging power can avoid overcharging or uneven charging, protect battery safety, and improve battery charging efficiency.

[0055] The embodiment of the present application uses fuzzy control to optimize the charging process and dynamically adjust the charging power to avoid overcharging or uneven charging of the battery.

[0056] The charging status includes multiple factors such as battery power, temperature and charging time. This application adopts fuzzy logic control method to formulate a suitable charging strategy and realize dynamic adjustment of the charging strategy.

[0057] Using a PID controller, the charging power is dynamically adjusted according to changes in battery power and charging current, and the battery's charging status, power level, and temperature parameters are monitored in real time. When an abnormality occurs, the charging power supply is promptly cut off and an alarm is sounded to ensure the safety and reliability of the charging process.

[0058] Furthermore, S5 includes: The battery discharge curve is linearly divided according to the battery life to obtain multiple sub-discharge curves; Get the maximum discharge power corresponding to each sub-discharge curve; If the maximum discharge power exceeds the maximum discharge power threshold, the discharge current is reduced to achieve discharge control of the battery.

[0059] In the above implementation process, the discharge of the battery is controlled to monitor the discharge process, ensure the safety and reliability of the discharge process, make the battery operate within a safe range, limit the discharge power, and prevent safety problems caused by excessive power.

[0060] Regulating the discharge process can ensure that the battery operates within a safe range. Using dynamic discharge curve adjustment technology to optimize the discharge process can limit the battery's discharge power to prevent safety issues caused by excessive power. The power limitation algorithm based on real-time data adjusts the discharge power.

[0061] This application adopts a piecewise linearization method to divide the discharge curve into multiple sub-discharge curves, and adopts a different discharge strategy for each section to ensure that the battery does not exceed the safety range during the discharge process, so that the battery can operate within the safety range. Monitor the battery's discharge status, power level, and temperature parameters in real time. When an abnormality occurs, the discharge circuit will be cut off and an alarm will be issued in time.

[0062] Furthermore, after the step of controlling the discharge of the battery according to the battery life, the method further includes: Cut off power to protect the battery.

[0063] In the above implementation process, power-off protection of the battery can prevent sudden abnormal conditions of the battery, providing more protection for battery use and personnel safety.

[0064] Power-off protection for the battery can prevent overvoltage or undervoltage from damaging the battery and can also prevent the battery from short circuiting.

[0065] Furthermore, the step of performing power-off protection on the battery includes: Get the voltage and current data of the battery; Determine whether the voltage data is within the voltage protection threshold; If not, the voltage protection mechanism is activated and the connection between the battery and the new energy vehicle is cut off; Determine whether the current data exceeds a preset threshold; If so, disconnect the battery and cut off the connection between the battery and the new energy vehicle.

[0066] In the above implementation process, safety issues caused by battery short circuit can be effectively avoided, providing an effective guarantee for battery life, effectively improving battery utilization efficiency, and improving safety during battery use.

[0067] In this embodiment, it should also be noted that the safety monitoring module of the system also includes a battery protection unit and a short-circuit detection protection unit. The battery protection unit is used to monitor the battery voltage to prevent overvoltage or undervoltage from damaging the battery, and uses threshold detection technology to trigger the protection mechanism. The short-circuit detection protection unit uses short-circuit detection technology and emergency circuit-breaking technology to detect short circuits in the battery pack and take protective measures in a timely manner, and uses short-circuit detection technology and emergency circuit-breaking technology.

[0068] By setting the voltage protection threshold, the protection mechanism is triggered when the battery voltage exceeds or falls below the voltage protection threshold.

[0069] This application adopts a current mutation detection method to monitor the current changes in the battery pack in real time. When a sudden increase in current is detected (exceeding a preset threshold), it is judged as a short circuit and the battery connection is immediately cut off to prevent the battery from being damaged or causing safety problems due to the short circuit. When the protection mechanism is triggered or a short circuit is detected, the battery connection is quickly cut off to ensure that the cutting action is quick and reliable to protect the safety of the battery and personnel.

[0070] In this embodiment, CAN bus communication is also required for data transmission and data recording and storage. CAN bus communication is used to realize communication with the vehicle main control system, transmit battery status information, and implement CAN protocol parsing and data packet management algorithms. Data recording and storage is used to record battery operating data for subsequent analysis and troubleshooting. This application uses data compression and storage algorithms to optimize data storage efficiency.

[0071] In the embodiment of the present application, the CAN protocol is used for data encapsulation and transmission to realize real-time data communication between the vehicle main control system and the battery management system. The CAN protocol has high speed, high reliability and good error detection capabilities, and can ensure the real-time and accuracy of the data.

[0072] The embodiment of the present application can also record the operating data of the battery, including voltage, current, temperature and other data, and use a circular queue data structure to store the data. When the queue is full, it automatically overwrites the earliest data to provide support for subsequent analysis and troubleshooting.

[0073] Realize real-time data updating and sharing to ensure that the vehicle's main control system can obtain the latest battery status information, improving the overall performance and safety of the vehicle.

[0074] The embodiments of the present application apply machine learning algorithms to analyze battery health data and make predictions, and adaptively optimize control. The adaptive optimization algorithm dynamically optimizes the battery management strategy based on real-time data and prediction results to predict the performance of the battery under various operating conditions and simulate the behavior of the battery under different operating conditions to perform system optimization.

[0075] The method of this application uses a machine learning algorithm to train battery historical data to obtain a battery health prediction model, and uses the model to predict the future health status and performance of the battery to help users reasonably arrange battery usage and maintenance plans.

[0076] The battery management strategy is dynamically optimized based on real-time data and prediction results, and the strategy is optimized using genetic algorithm to improve the efficiency and life of the battery.

[0077] This application uses a system dynamics model to simulate battery behavior, optimizes the battery management system by adjusting model parameters, improves the overall performance of the system, helps developers better understand battery characteristics, and design better battery management systems.

[0078] Example 2 In order to execute the method corresponding to the above embodiment 1 to achieve the corresponding functions and technical effects, a new energy vehicle battery management system is provided below, such as Figure 2 As shown, the system includes: Data acquisition module 1 is used to monitor the real-time voltage of the battery and obtain the excess power; The power balancing module 2 is used to transfer excess power and obtain battery internal resistance data during the power transfer process; Battery health management module 3, used to build a life prediction model based on battery internal resistance data and charge and discharge cycle data to obtain battery life; Charging control module 4, used to control battery charging according to battery life; The discharge control module 5 is used to control the discharge of the battery according to the battery life.

[0079] In the above implementation process, by real-time monitoring of the battery voltage and transferring excess power, the battery charging and discharging control is finally achieved, which can enhance the battery power balancing ability, optimize health management charging and discharging control, ensure discharge safety, improve safety monitoring of the battery charging and discharging process, improve the stability of voltage monitoring, and achieve optimized battery management.

[0080] This system monitors battery voltage and battery temperature through data acquisition module 1; This system performs passive balancing and active balancing through the power balancing module 2; This system uses the battery health management module 3 to perform internal resistance measurement and charge and discharge cycle analysis; This system performs charging strategy management and charging power distribution through the charging control module 4; This system manages the discharge curve and limits the discharge power through the discharge control module 5; This system performs battery protection and short circuit detection protection through the safety monitoring module 6; The system also includes a communication data interface module 7 and a prediction optimization module 8, such as Figure 3 As shown, CAN bus communication and data recording and storage are performed through the communication data interface module, and the prediction optimization module is used for battery health prediction, adaptive optimization control and battery behavior simulation.

[0081] Furthermore, the data acquisition module 1 is also used for: Get the battery voltage data; Filtering the voltage data according to a sliding average filter to obtain filtered voltage data; Determine whether the filtered voltage data exceeds a preset voltage threshold; If so, excess power is obtained.

[0082] In the above implementation process, the battery voltage data is filtered and then judged whether it exceeds the voltage threshold to obtain excess power, thereby ensuring the accuracy of the voltage data and providing a reliable basis for battery management.

[0083] Furthermore, the power balancing module 2 is further configured to: Controlling the power transfer switch to transfer excess power from the high-power battery pack to the low-power battery pack in the battery; Obtain battery impedance data at different frequencies during the transfer process; The battery impedance data is fitted to obtain the battery internal resistance data.

[0084] In the above implementation process, by transferring excess power, the excess power can be consumed, the charge of each single battery in the battery pack can be balanced, and the overall use efficiency and service life of the battery can be improved.

[0085] Furthermore, the charging control module 4 is also used for: Develop charging strategies based on battery life; Obtain the charging status during the charging process according to the charging strategy, and obtain the battery power change data and charging current change data; The charging power is adjusted according to the battery power change data and the charging current change data to achieve charging control.

[0086] In the above implementation process, controlling the battery charging and formulating a suitable charging strategy can improve the battery safety performance. Dynamically adjusting the charging power can avoid overcharging or uneven charging, protect battery safety, and improve battery charging efficiency.

[0087] Furthermore, the discharge control module 5 is also used for: The battery discharge curve is linearly divided according to the battery life to obtain multiple sub-discharge curves; Get the maximum discharge power corresponding to each sub-discharge curve; If the maximum discharge power exceeds the maximum discharge power threshold, the discharge current is reduced to achieve discharge control of the battery.

[0088] In the above implementation process, the discharge of the battery is controlled to monitor the discharge process, ensure the safety and reliability of the discharge process, make the battery operate within a safe range, limit the discharge power, and prevent safety problems caused by excessive power.

[0089] Furthermore, the system also includes a security monitoring module 6, which is used to: Cut off power to protect the battery.

[0090] In the above implementation process, power-off protection of the battery can prevent sudden abnormal conditions of the battery, providing more protection for battery use and personnel safety.

[0091] Furthermore, the security monitoring module 6 is also used to: Get the voltage and current data of the battery; Determine whether the voltage data is within the voltage protection threshold; If not, the voltage protection mechanism is activated and the connection between the battery and the new energy vehicle is cut off; Determine whether the current data exceeds a preset threshold; If so, disconnect the battery and cut off the connection between the battery and the new energy vehicle.

[0092] In the above implementation process, safety issues caused by battery short circuit can be effectively avoided, providing an effective guarantee for battery life, effectively improving battery utilization efficiency, and improving safety during battery use.

[0093] The new energy vehicle battery management system can implement the method of the above embodiment 1. The options in the above embodiment 1 are also applicable to this embodiment and will not be described in detail here.

[0094] The rest of the contents of the embodiments of this application can refer to the contents of the above-mentioned embodiment 1, and will not be repeated in this embodiment.

[0095] Example 3 An embodiment of the present application provides a new energy vehicle, including the new energy vehicle battery management system of embodiment 2.

[0096] Example 4 An embodiment of the present application provides an electronic device, including a memory and a processor, wherein the memory is used to store a computer program, and the processor runs the computer program to enable the electronic device to execute the new energy vehicle battery management method of embodiment 1.

[0097] Optionally, the above-mentioned electronic device may be a server.

[0098] See Figure 4 , Figure 4 Schematic diagram of the structure of an electronic device provided in an embodiment of the present application. The electronic device may include a processor 41, a communication interface 42, a memory 43, and at least one communication bus 44. The communication bus 44 is used to enable direct connection and communication between these components.

[0099] Optionally, the electronic device may further include a storage controller and an input / output unit. The memory 43, storage controller, processor 41, peripheral interface, and input / output unit are electrically connected to each other directly or indirectly to achieve data transmission or interaction.

[0100] The input and output unit is used to provide users with the ability to create tasks and to create optional start time periods or preset execution times for the tasks to enable interaction between the user and the server. The input and output unit can be, but is not limited to, a mouse and keyboard.

[0101] I understand. Figure 4 The structure shown is only for illustration, and the electronic device may also include Figure 4 More or fewer components than shown, or with Figure 4 In addition, the embodiment of the present application further provides a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the new energy vehicle battery management method of embodiment 1.

[0102] An embodiment of the present application further provides a computer program product, which, when running on a computer, enables the computer to execute the method described in the method embodiment.

[0103] The foregoing is merely an embodiment of the present application and is not intended to limit the scope of protection of the present application. For those skilled in the art, the present application may have various modifications and variations. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present application should be included within the scope of protection of the present application. It should be noted that similar numbers and letters represent similar items in the following figures. Therefore, once an item is defined in one figure, it does not need to be further defined or explained in subsequent figures.

[0104] The above description is merely a specific embodiment of the present application, but the scope of protection of the present application is not limited thereto. Any changes or substitutions that can be easily conceived by a person skilled in the art within the technical scope disclosed in the present application should be included within the scope of protection of the present application. Therefore, the scope of protection of the present application should be based on the scope of protection of the claims.

Claims

1. A new energy vehicle battery management method, characterized in that: The method comprises: Monitoring the real-time voltage of the battery to obtain excess power; Transferring the excess electricity and obtaining battery internal resistance data during the electricity transfer process; Constructing a life prediction model based on the battery internal resistance data and the charge and discharge cycle number data to obtain the battery life; controlling charging of the battery according to the battery life; The battery is discharged under control according to the battery life.

2. The new energy vehicle battery management method according to claim 1, characterized in that: The step of monitoring the real-time voltage of the battery to obtain excess power includes: Acquiring voltage data of the battery; filtering the voltage data using a sliding average filter to obtain filtered voltage data; Determining whether the filtered voltage data exceeds a preset voltage threshold; If so, the excess power is obtained.

3. The new energy vehicle battery management method according to claim 1, characterized in that: The step of transferring the excess electricity and obtaining battery internal resistance data during the electricity transfer process includes: Controlling the power transfer switch to transfer the excess power from the high-power battery pack to the low-power battery pack in the battery; Obtain battery impedance data at different frequencies during the transfer process; The battery impedance data is fitted to obtain the battery internal resistance data.

4. The new energy vehicle battery management method according to claim 1, characterized in that: The step of controlling the charging of the battery according to the battery life includes: developing a charging strategy based on the battery life; Obtaining the charging state during the charging process according to the charging strategy, and obtaining battery power change data and charging current change data; The charging power is adjusted according to the battery power change data and the charging current change data to achieve charging control.

5. The new energy vehicle battery management method according to claim 1, characterized in that: The step of controlling the discharge of the battery according to the battery life includes: Linearly dividing the discharge curve of the battery according to the battery life to obtain multiple sub-discharge curves; Get the maximum discharge power corresponding to each sub-discharge curve; If the maximum discharge power exceeds the maximum discharge power threshold, the discharge current is reduced to achieve discharge control of the battery.

6. The new energy vehicle battery management method according to claim 1, characterized in that: After the step of controlling the discharge of the battery according to the battery life, the method further includes: The battery is protected from power failure.

7. The new energy vehicle battery management method according to claim 6, characterized in that: The step of performing power-off protection on the battery includes: Acquiring voltage data and current data of the battery; Determining whether the voltage data is within a voltage protection threshold; If not, activate the voltage protection mechanism and cut off the connection between the battery and the new energy vehicle; Determining whether the current data exceeds a preset threshold; If so, the battery is disconnected and the connection between the battery and the new energy vehicle is cut off.

8. A new energy vehicle battery management system, characterized in that: The system comprises: A data acquisition module is used to monitor the real-time voltage of the battery and obtain excess power; A power balancing module is used to transfer the excess power and obtain battery internal resistance data during the power transfer process; A battery health management module is used to build a life prediction model based on the battery internal resistance data and the charge and discharge cycle number data to obtain the battery life; a charging control module, configured to control charging of the battery according to the battery life; A discharge control module is used to control the discharge of the battery according to the battery life.

9. A new energy vehicle, characterized in that: Including the new energy vehicle battery management system as described in claim 8.

10. An electronic device, characterized in that: include: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the method according to claims 1 to 7 when executing the computer program.

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