A discharge control method and device of a power battery, an electronic device, and a storage medium

Abstract

The application provides a discharge control method and device of a power battery, electronic equipment and a storage medium. The method comprises the following steps: in response to a short-time high discharge power request, determining a current discharge capacity boundary of a target vehicle, the discharge capacity boundary being used to indicate a maximum allowed discharge power of the target vehicle at a target time scale; identifying an acceleration scenario in which the target vehicle is currently located; based on the acceleration scenario, determining a corresponding damage factor weight coefficient to calculate a comprehensive damage risk value of the target vehicle; based on the acceleration scenario, determining a current budget balance value of the target vehicle; determining a discharge capacity release coefficient according to the size between the comprehensive damage risk value and the current budget balance value; correcting the discharge capacity boundary according to the discharge capacity release coefficient to obtain an allowed discharge power, so as to generate a power control instruction for controlling the power battery.

Description

Technical Field

[0001] This application relates to the field of vehicle technology, and more specifically, to a discharge control method, device, electronic device, and storage medium for a power battery. Background Technology

[0002] With the rapid development of electric vehicle technology, the power battery, as one of the core components, directly affects the vehicle's range, power performance, and lifespan. In existing technologies, the Battery Management System (BMS) ensures the battery operates within safe limits by monitoring battery state parameters in real time, including State of Charge (SOC), temperature, voltage, current, State of Health (SOH), and Direct Current Resistance (DCR).

[0003] Common control strategies include using SOC-temperature-voltage lookup tables, open circuit voltage (OCV) and internal resistance (DCR) calculations, worst-case cell limits, temperature threshold derating, fixed SOH corrections, or BMS calibration tables to dynamically adjust the maximum charging power, maximum discharging power, maximum regenerative power, and available SOC window. These methods ensure that the battery does not exceed safety limits under extreme operating conditions, avoiding risks such as overcharging, over-discharging, and overheating.

[0004] However, existing technologies primarily focus on static safety assessments of "whether the limits have been exceeded," lacking the ability to dynamically optimize the balance between latent cell damage, short-term high-power demands, and long-term lifespan protection. For example, in aggressive driving or fast-charging scenarios, batteries may need to output or absorb higher power for short periods, while existing methods often adopt a conservative strategy, limiting power output to avoid potential risks, but at the same time sacrificing some performance potential. Furthermore, during long-term use, the degradation modes of battery cells are complex, and existing fixed correction or calibration methods are difficult to accurately adapt to the characteristics of batteries at different aging stages, potentially leading to over-protection or under-protection. Summary of the Invention

[0005] The purpose of this application is to provide a discharge control method, device, electronic device, and storage medium for a power battery, so as to solve the technical problems of inaccurate power limiting and poor compatibility of existing power batteries.

[0006] In a first aspect, the present invention provides a discharge control method for a power battery. The method includes, in response to a short-term high discharge power request, determining the current discharge capacity boundary of a target vehicle, wherein the discharge capacity boundary indicates the maximum permissible discharge power of the target vehicle at a target time scale; identifying the current acceleration scenario of the target vehicle, wherein the acceleration scenario includes at least a rapid acceleration scenario and an overtaking acceleration scenario; determining the corresponding damage factor weight coefficient based on the acceleration scenario to calculate the comprehensive damage risk value of the target vehicle; determining the current budget balance value of the target vehicle based on the acceleration scenario; determining the discharge capacity release coefficient according to the magnitude between the comprehensive damage risk value and the current budget balance value; and correcting the discharge capacity boundary according to the discharge capacity release coefficient to obtain the permissible discharge power, thereby generating a power control command for controlling the power battery.

[0007] In an optional implementation, the step of identifying the current acceleration scenario of the target vehicle specifically includes: Acquire vehicle longitudinal acceleration, throttle opening rate of change, current vehicle speed, and relative motion state of adjacent lanes; Input the parameters into a pre-trained lightweight scene classification model and output the scene category probability distribution; If the probability of a rapid acceleration scenario is greater than the first threshold and the duration is greater than or equal to 200ms, it is determined to be a rapid acceleration scenario. If the probability of an overtaking acceleration scenario is greater than the second threshold, the current vehicle speed is greater than or equal to 60 km / h, and there is a target vehicle in the adjacent lane, then it is determined to be an overtaking acceleration scenario.

[0008] In an optional implementation, the current budget balance is determined as follows: The historical cumulative damage of the battery is obtained. The historical cumulative damage is calculated based on the damage equivalent integral of each discharge event. The damage equivalent is characterized by the current amplitude, temperature rise amplitude and duration. Subtract the historical cumulative damage from the preset total damage budget value to obtain the current budget balance; The preset total damage budget value is converted into equivalent damage units based on the battery's nominal lifespan.

[0009] In an optional implementation, the discharge capacity release coefficient Determined according to the following functional relationship: ; in, This is the current budget balance. To calculate the overall damage risk value, It is a smoothing constant. This is the calibration gain coefficient.

[0010] In an optional implementation, based on a rapid acceleration scenario or an overtaking scenario, the voltage damage risk, temperature damage risk, lithium plating risk, internal resistance growth risk, capacity decay risk, and consistency deterioration risk are calculated, and each risk is assigned a corresponding damage factor weight coefficient, and the comprehensive damage risk value is obtained by weighted summation. Among them, voltage damage risk is calculated based on the distance between the lowest single-cell voltage and the lower voltage limit, the voltage difference between single cells, and the rate of voltage change; temperature damage risk is calculated based on the highest single-cell temperature, the rate of temperature rise, and the current cooling capacity of the thermal management system; lithium plating risk is calculated based on the lowest single-cell temperature, the current state of charge, the discharge current amplitude, and the duration; consistency deterioration risk is calculated based on the single-cell voltage difference, temperature difference, and the deviation of weak single cells; the weights of each calculation are dynamically adjusted according to rapid acceleration or overtaking scenarios, battery state of charge, battery health status, and historical usage intensity.

[0011] In an optional implementation, when the overall damage risk value is lower than the scenario damage budget and the current budget balance is sufficient, the discharge capacity release coefficient is set to a higher value that allows for short-term high power output. When the overall damage risk value is close to the scenario damage budget and the current budget balance is insufficient, the discharge capacity release coefficient is set to the intermediate value that limits the duration of high power. When the overall damage risk value exceeds the scenario damage budget, the discharge capacity release factor is set to a lower value that triggers thermal management actions or tightens the available charge state window.

[0012] In an optional implementation, the power control command includes at least the allowable discharge power, the dominant damage factor identifier, the current budget balance, and the model confidence level. The dominant damage factor identifier is the risk type that contributes the most to the overall damage risk value among voltage damage risk, temperature damage risk, lithium plating risk, internal resistance growth risk, capacity decay risk, and consistency deterioration risk.

[0013] Secondly, the present invention provides a discharge control device for a power battery, the device comprising: The response module is used to respond to a short-term high discharge power request and determine the current discharge capacity boundary of the target vehicle. The discharge capacity boundary is used to indicate the maximum allowable discharge power of the target vehicle at the target time scale. The recognition module is used to identify the current acceleration scenario of the target vehicle, which includes at least rapid acceleration and overtaking acceleration scenarios. The damage calculation module is used to determine the corresponding damage factor weight coefficients based on the acceleration scenario in order to calculate the comprehensive damage risk value of the target vehicle. The budget calculation module is used to determine the current budget balance of the target vehicle based on the acceleration scenario. The analysis module is used to determine the discharge capacity release coefficient based on the relationship between the comprehensive damage risk value and the current budget balance. The execution module is used to correct the discharge capacity boundary based on the discharge capacity release coefficient to obtain the allowable discharge power, so as to generate power control commands for controlling the power battery.

[0014] Thirdly, the present invention provides an electronic device, comprising: a processor, a memory, and a bus, wherein the memory stores machine-readable instructions executable by the processor, and when the electronic device is running, the processor communicates with the memory via the bus, and the processor executes the machine-readable instructions to perform the steps of the discharge control method of any of the power batteries described in the foregoing embodiments.

[0015] Fourthly, the present invention provides a computer-readable storage medium storing a computer program, which, when executed by a processor, performs the steps of the discharge control method for any of the power batteries described in the foregoing embodiments.

[0016] This application provides a discharge control method, device, electronic device, and storage medium for a power battery. The method includes: responding to a short-term high discharge power request; determining the current discharge capacity boundary of a target vehicle, whereby the discharge capacity boundary indicates the maximum allowable discharge power of the target vehicle at a target time scale; identifying the current acceleration scenario of the target vehicle, whereby the acceleration scenario includes at least rapid acceleration and overtaking acceleration scenarios; determining the corresponding damage factor weight coefficient based on the acceleration scenario to calculate the comprehensive damage risk value of the target vehicle; determining the current budget balance value of the target vehicle based on the acceleration scenario; determining the discharge capacity release coefficient based on the magnitude between the comprehensive damage risk value and the current budget balance value; and correcting the discharge capacity boundary based on the discharge capacity release coefficient to obtain the allowable discharge power, thereby generating a power control command for controlling the power battery. By subdividing the acceleration scenario and introducing damage weights, aging is actively suppressed, the precision of capacity release is improved, and capacity waste caused by excessive conservatism is reduced. Furthermore, the lifespan risk caused by excessive aggressiveness can also be reduced. Attached Figure Description

[0017] To more clearly illustrate the technical solutions of the embodiments of this application, the accompanying drawings used in the embodiments of this application will be briefly introduced below. It should be understood that the following drawings only show some embodiments of this application and should not be regarded as a limitation of the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0018] Figure 1 A flowchart illustrating a discharge control method for a power battery provided in an embodiment of this application; Figure 2A schematic diagram of the structure of a discharge control device for a power battery provided in an embodiment of this application; Figure 3 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. Detailed Implementation

[0019] The technical solutions in the embodiments of this application will now be described with reference to the accompanying drawings.

[0020] Example 1 Figure 1 This is a flowchart illustrating a discharge control method for a power battery provided in an embodiment of this application. Figure 1 As shown in the embodiments of this application, a discharge control method for a power battery can be executed by a BMS, VCU, OBC, thermal management controller, cloud platform, or a combination thereof, including: S1. In response to a short-duration high discharge power request, determine the current discharge capacity boundary of the target vehicle. The discharge capacity boundary indicates the maximum permissible discharge power of the target vehicle at a target time scale. The time scale can be 1s / 5s / 10s / 30s, etc.

[0021] In step S1, real-time status acquisition can be performed through the BMS. The capability boundary here can come from the preceding capability boundary identification model or from the existing capability model of the BMS. Specifically, the capability boundary, as the upper limit of the maximum release capability of the power battery, can be represented in the following form: P_dis_1s / 5s / 10s / 30s / 60s / cont (discharge power from 1s / 5s to continuous), P_chg_1s / 5s / 10s / 30s / 60s / cont (charging power from 1s / 5s to continuous), P_regen_1s / 5s / 10s / 30s (feedback power from 1s / 5s / 10s / 30s), available energy boundary, and boundary confidence.

[0022] S2. Identify the current acceleration scenario of the target vehicle. The acceleration scenario includes at least rapid acceleration scenario and overtaking acceleration scenario.

[0023] The Vehicle Control Unit (VCU) is responsible for vehicle scene recognition and torque coordination. These vehicle scenes can include, but are not limited to, acceleration, overtaking, hill climbing, high speed, fast charging, high SOC feedback, low temperature feedback, high temperature and high speed, daily driving, and parking. Acceleration scenes include at least rapid acceleration and overtaking acceleration scenarios.

[0024] Step S2, the step of identifying the current acceleration scenario of the target vehicle, specifically includes: The system acquires the vehicle's longitudinal acceleration, throttle opening rate of change, current vehicle speed, and relative motion state in adjacent lanes. These parameters are input into a pre-trained lightweight scene classification model, which outputs a probability distribution for each scene category. If the probability of a rapid acceleration scene is greater than a first threshold and the duration is greater than or equal to 200ms, it is classified as a rapid acceleration scene. If the probability of an overtaking acceleration scene is greater than a second threshold, the current vehicle speed is greater than or equal to 60km / h, and a target vehicle exists in an adjacent lane, it is classified as an overtaking acceleration scene. These thresholds can be calibrated.

[0025] S3. Based on the acceleration scenario, determine the corresponding damage factor weight coefficients to calculate the comprehensive damage risk value of the target vehicle.

[0026] The steps of damage factor calculation and baseline limit output can be performed using a BMS. For example, capacity release-related risks can be decomposed into at least two types of damage factors, preferably voltage damage risk, temperature damage risk, lithium plating risk, internal resistance growth risk, capacity decay risk, and consistency deterioration risk. Each damage factor can be calculated using a rule-based model, an electrochemical model, an equivalent circuit model, a thermal model, a data-driven model, or a combination thereof.

[0027] Based on rapid acceleration or overtaking scenarios, the risks of voltage damage, temperature damage, lithium plating, internal resistance growth, capacity decay, and consistency deterioration are calculated. Each risk is assigned a corresponding damage factor weight coefficient, and the comprehensive damage risk value is obtained by weighted summation.

[0028] Specifically, voltage damage risk is calculated based on the distance between the lowest single-cell voltage and the lower voltage limit, the voltage difference between cells, and the rate of voltage change. Temperature damage risk is calculated based on the highest single-cell temperature, the rate of temperature rise, and the current cooling capacity of the thermal management system. Lithium plating risk is calculated based on the lowest single-cell temperature, the current state of charge, the discharge current amplitude, and the duration. Inconsistency deterioration risk is calculated based on single-cell voltage difference, temperature difference, and the deviation of weak cells. The weights for each calculation are dynamically adjusted according to rapid acceleration or overtaking scenarios, battery state of charge, battery health status, and historical usage intensity.

[0029] S4. Based on the acceleration scenario, determine the current budget balance of the target vehicle.

[0030] Here, the current budget balance is determined as follows: The historical cumulative damage amount of the battery is obtained. This historical cumulative damage amount is calculated based on the damage equivalent integral of each discharge event. The damage equivalent is characterized by the current amplitude, temperature rise amplitude, and duration. The historical cumulative damage amount is subtracted from the preset total damage budget value to obtain the current budget balance. The preset total damage budget value is converted into equivalent damage units based on the battery's nominal lifespan.

[0031] The damage amount here refers to the permissible amount of damage risk that can be incurred for the current vehicle, the current time window, or the current event, while meeting lifespan and safety objectives. Damage budgets can be categorized into lifecycle budgets, annual budgets, monthly budgets, daily budgets, scenario budgets, and single-event budgets.

[0032] Furthermore, in short-duration power scenarios such as rapid acceleration or overtaking, the voltage drop and polarization-related budgets can be appropriately increased, but the duration should be limited. In low-temperature fast charging scenarios, the lithium plating risk budget has the highest priority; if the lithium plating budget is insufficient, the charging current should be reduced or the cell temperature increased before charging. In high SOC regenerative braking scenarios, overvoltage and lithium plating budgets have the highest priority; protection can be achieved by reducing regenerative power, increasing friction braking, or lowering the SOC upper limit. In high-temperature, high-speed scenarios, temperature and thermal aging budgets have the highest priority, requiring coordinated cooling and continuous power limiting.

[0033] S5. Determine the discharge capacity release coefficient based on the magnitude of the comprehensive damage risk value and the current budget balance value.

[0034] If the overall damage risk is lower than the current budget and the budget balance is sufficient, the system can maintain or moderately increase capacity release; if the overall damage risk is close to the budget, the system enters the constraint release state; if the overall damage risk exceeds the budget, the system reduces power, tightens the SOC window, starts thermal management, limits the duration, or triggers subsequent compensation.

[0035] Discharge capacity release coefficient Determined according to the following functional relationship: ; in, This is the current budget balance. To calculate the overall damage risk value, It is a smoothing constant. This is the calibration gain coefficient.

[0036] S6. Correct the discharge capacity boundary according to the discharge capacity release coefficient to obtain the allowable discharge power, so as to generate a power control command for controlling the power battery.

[0037] Specifically, when the overall damage risk value is lower than the scenario damage budget and the current budget balance is sufficient, the discharge capacity release coefficient is set to a higher value that allows for short-term high power output. When the overall damage risk value is close to the scenario damage budget and the current budget balance is insufficient, the discharge capacity release coefficient is set to the intermediate value that limits the duration of high power. When the overall damage risk value exceeds the scenario damage budget, the discharge capacity release factor is set to a lower value that triggers thermal management actions or tightens the available charge state window.

[0038] Here, the OBC can be responsible for executing the charging power, the thermal management controller can be responsible for cooling / heating actions, and the cloud platform can be responsible for updating model parameters, user behavior profiles, and group data calibration.

[0039] The power control instructions here include at least the allowable discharge power, the dominant damage factor identifier, the current budget balance, and the model confidence level. The dominant damage factor identifier is the risk type that contributes the most to the overall damage risk value among voltage damage risk, temperature damage risk, lithium plating risk, internal resistance growth risk, capacity decay risk, and consistency deterioration risk.

[0040] This application provides a discharge control method for power batteries, which introduces damage weights by subdividing acceleration scenarios, actively suppresses aging, improves the precision of capacity release, reduces capacity waste caused by excessive conservatism, and can also reduce lifespan risks caused by excessive aggressiveness.

[0041] Example 2 In one specific embodiment, the dynamic release of discharge capacity under a rapid acceleration scenario is used as an example for illustration. When a vehicle is overtaking at high speed or accelerating rapidly, the entire vehicle requests a short period of high discharge power. The system first reads the current discharge capacity boundaries, such as P_dis_1s, P_dis_5s, P_dis_10s, and P_dis_30s.

[0042] Subsequently, rapid acceleration scenarios were identified, with a focus on calculating the risks of voltage drop, polarization, internal resistance growth, and weak monomers.

[0043] If the overall damage risk is lower than the budget for a rapid acceleration event and the daily budget balance is sufficient, a short-term release of higher discharge capacity is permitted. If the risk of voltage drop or weak cell failure approaches the budget limit, the release factor is reduced and the duration is limited.

[0044] In another specific embodiment, the dynamic release of charging capacity in a low-temperature fast charging scenario is illustrated. When the vehicle is performing DC fast charging in a low-temperature environment, the system identifies the low-temperature fast charging scenario and uses lithium plating risk as the dominant damage factor. The system calculates the lithium plating risk based on the minimum temperature, SOC, charging current, cell voltage, temperature rise rate, and negative electrode polarization estimate. If the lithium plating risk exceeds the budget, the charging current is reduced or battery heating is initiated first. If the lithium plating risk decreases and the budget is restored after thermal management heating, the charging capacity is gradually increased.

[0045] Specifically, low-temperature fast charging scenarios can be identified based on fast charging status, minimum temperature, state of charge (SOC), and charging request. Lithium plating risk is calculated based on minimum temperature, SOC, charging current, individual cell voltage, temperature rise rate, and negative electrode polarization estimate. The lithium plating risk is then compared with the low-temperature fast charging scenario budget.

[0046] If the risk of lithium plating is high, the charge release coefficient is initially reduced to limit the charging current. The thermal management system then heats the cell to improve its rechargeability. As the cell temperature rises, polarization weakens, and the risk of lithium plating decreases, the charge release coefficient is gradually increased. The budget for the next fast charge is adjusted based on the actual temperature rise, charging voltage response, and voltage difference changes.

[0047] Example 3 Figure 2 This is a schematic diagram of a discharge control device for a power battery provided in an embodiment of this application. Based on the same inventive concept, this application also provides a discharge control device for a power battery, the device 20 including: The response module 210 is used to determine the current discharge capacity boundary of the target vehicle in response to a short-term high discharge power request. The discharge capacity boundary is used to indicate the maximum allowable discharge power of the target vehicle at the target time scale. The recognition module 220 is used to identify the current acceleration scenario of the target vehicle, which includes at least rapid acceleration scenario and overtaking acceleration scenario; The damage calculation module 230 is used to determine the corresponding damage factor weight coefficients based on the acceleration scenario in order to calculate the comprehensive damage risk value of the target vehicle. Budget calculation module 240 is used to determine the current budget balance of the target vehicle based on the acceleration scenario; Analysis module 250 is used to determine the discharge capacity release coefficient based on the relationship between the comprehensive damage risk value and the current budget balance value; The execution module 260 is used to correct the discharge capacity boundary according to the discharge capacity release coefficient to obtain the allowable discharge power, so as to generate a power control command for controlling the power battery.

[0048] In a preferred embodiment, the step of the identification module 220 identifying the current acceleration scenario of the target vehicle specifically includes: Acquire vehicle longitudinal acceleration, throttle opening rate of change, current vehicle speed, and relative motion state of adjacent lanes; Input the parameters into a pre-trained lightweight scene classification model and output the scene category probability distribution; If the probability of a rapid acceleration scenario is greater than the first threshold and the duration is greater than or equal to 200ms, it is determined to be a rapid acceleration scenario. If the probability of an overtaking acceleration scenario is greater than the second threshold, the current vehicle speed is greater than or equal to 60 km / h, and there is a target vehicle in the adjacent lane, then it is determined to be an overtaking acceleration scenario.

[0049] In a preferred embodiment, the budget calculation module 240 determines the current budget balance value as follows: The historical cumulative damage of the battery is obtained. The historical cumulative damage is calculated based on the damage equivalent integral of each discharge event. The damage equivalent is characterized by the current amplitude, temperature rise amplitude and duration. Subtract the historical cumulative damage from the preset total damage budget value to obtain the current budget balance; The preset total damage budget value is converted into equivalent damage units based on the battery's nominal lifespan.

[0050] In a preferred embodiment, the analysis module 250 determines the discharge capacity release coefficient according to the following functional relationship. : ; in, This is the current budget balance. To calculate the overall damage risk value, It is a smoothing constant. This is the calibration gain coefficient.

[0051] In a preferred embodiment, the damage calculation module 230 is used to calculate voltage damage risk, temperature damage risk, lithium plating risk, internal resistance growth risk, capacity decay risk and consistency deterioration risk based on rapid acceleration or overtaking scenarios, and assign corresponding damage factor weight coefficients to each risk, and obtain a comprehensive damage risk value by weighted summation. Among them, voltage damage risk is calculated based on the distance between the lowest single-cell voltage and the lower voltage limit, the voltage difference between single cells, and the rate of voltage change; temperature damage risk is calculated based on the highest single-cell temperature, the rate of temperature rise, and the current cooling capacity of the thermal management system; lithium plating risk is calculated based on the lowest single-cell temperature, the current state of charge, the discharge current amplitude, and the duration; consistency deterioration risk is calculated based on the single-cell voltage difference, temperature difference, and the deviation of weak single cells; the weights of each calculation are dynamically adjusted according to rapid acceleration or overtaking scenarios, battery state of charge, battery health status, and historical usage intensity.

[0052] In a preferred embodiment, the analysis module 250 is used to determine the discharge capacity release coefficient based on the magnitude between the comprehensive damage risk value and the current budget balance value; When the overall damage risk value is lower than the scenario damage budget and the current budget balance is sufficient, the discharge capacity release coefficient is set to a higher value that allows for short-term high power output. When the overall damage risk value is close to the scenario damage budget and the current budget balance is insufficient, the discharge capacity release coefficient is set to the intermediate value that limits the duration of high power. When the overall damage risk value exceeds the scenario damage budget, the discharge capacity release factor is set to a lower value that triggers thermal management actions or tightens the available charge state window.

[0053] In a preferred embodiment, the power control command includes at least the allowable discharge power, the dominant damage factor identifier, the current budget balance, and the model confidence level. The dominant damage factor identifier is the risk type that contributes the most to the overall damage risk value among voltage damage risk, temperature damage risk, lithium plating risk, internal resistance growth risk, capacity decay risk, and consistency deterioration risk.

[0054] Example 4 Please see Figure 3 , Figure 3 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. Figure 3 As shown, the electronic device 300 includes a processor 310, a memory 320, and a bus 330.

[0055] The memory 320 stores machine-readable instructions that can be executed by the processor 310. When the electronic device 300 is running, the processor 310 and the memory 320 communicate via the bus 330. When the machine-readable instructions are executed by the processor 310, the steps of a power battery discharge control method as described in the above method embodiment can be executed. For specific implementation details, please refer to the method embodiment, which will not be repeated here.

[0056] Example 5 This application also provides a computer-readable storage medium storing a computer program. When the computer program is run by a processor, it can execute the steps of a power battery discharge control method as described in the above method embodiments. For specific implementation details, please refer to the method embodiments, which will not be repeated here.

[0057] Those skilled in the art will understand that, for the sake of convenience and brevity, the specific working processes of the systems, devices, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0058] In the embodiments provided in this application, it should be understood that the disclosed apparatus and methods can be implemented in other ways. The apparatus embodiments described above are merely illustrative. For example, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. Furthermore, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Additionally, the displayed or discussed mutual couplings, direct couplings, or communication connections may be through some communication interfaces; indirect couplings or communication connections between devices or units may be electrical, mechanical, or other forms.

[0059] Furthermore, the units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0060] Furthermore, the functional modules in the various embodiments of this application can be integrated together to form an independent part, or each module can exist independently, or two or more modules can be integrated to form an independent part.

[0061] It should be noted that if the function is implemented as a software functional module and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0062] In this document, relational terms such as first and second are used only to distinguish one entity or operation from another entity or operation, without necessarily requiring or implying any such actual relationship or order between these entities or operations.

[0063] The above description is merely an embodiment of this application and is not intended to limit the scope of protection of this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the scope of protection of this application.

Claims

1. A method for controlling the discharge of a power battery, characterized in that, The method includes: In response to a short-term high discharge power request, the current discharge capacity boundary of the target vehicle is determined, the discharge capacity boundary being used to indicate the maximum permissible discharge power of the target vehicle at a target time scale; Identify the current acceleration scenario of the target vehicle, wherein the acceleration scenario includes at least a rapid acceleration scenario and an overtaking acceleration scenario; Based on the acceleration scenario, the corresponding damage factor weight coefficients are determined to calculate the comprehensive damage risk value of the target vehicle. Based on the acceleration scenario, the current budget balance of the target vehicle is determined; The discharge capacity release coefficient is determined based on the magnitude between the comprehensive damage risk value and the current budget balance value; The discharge capacity boundary is corrected based on the discharge capacity release coefficient to obtain the allowable discharge power, thereby generating a power control command for controlling the power battery.

2. The method according to claim 1, characterized in that, The step of identifying the current acceleration scenario of the target vehicle specifically includes: Acquire vehicle longitudinal acceleration, throttle opening rate of change, current vehicle speed, and relative motion state of adjacent lanes; The parameters are input into a pre-trained lightweight scene classification model, which outputs a scene category probability distribution. If the probability of a rapid acceleration scenario is greater than the first threshold and the duration is greater than or equal to 200ms, it is determined to be a rapid acceleration scenario. If the probability of an overtaking acceleration scenario is greater than the second threshold, the current vehicle speed is greater than or equal to 60 km / h, and there is a target vehicle in the adjacent lane, then it is determined to be an overtaking acceleration scenario.

3. The method according to claim 1, characterized in that, The current budget balance is determined as follows: The historical cumulative damage of the battery is obtained. The historical cumulative damage is calculated based on the damage equivalent integral of each discharge event. The damage equivalent is characterized by the current amplitude, temperature rise amplitude and duration. Subtract the historical cumulative damage amount from the preset total damage budget value to obtain the current budget balance value; The preset total damage budget value is converted into equivalent damage units based on the battery's nominal lifespan.

4. The method according to claim 1, characterized in that, The discharge capacity release coefficient Determined according to the following functional relationship: ； in, This is the current budget balance. To calculate the overall damage risk value, It is a smoothing constant. This is the calibration gain coefficient.

5. The method according to claim 1, characterized in that, Based on the aforementioned rapid acceleration or overtaking scenarios, the risks of voltage damage, temperature damage, lithium plating, internal resistance growth, capacity decay, and consistency deterioration are calculated. Each risk is assigned a corresponding damage factor weighting coefficient, and the comprehensive damage risk value is obtained by weighted summation. The voltage damage risk is calculated based on the distance between the lowest single-cell voltage and the lower voltage limit, the voltage difference between single cells, and the rate of voltage change; the temperature damage risk is calculated based on the highest single-cell temperature, the rate of temperature rise, and the current cooling capacity of the thermal management system; the lithium plating risk is calculated based on the lowest single-cell temperature, the current state of charge, the discharge current amplitude, and the duration; the consistency deterioration risk is calculated based on the single-cell voltage difference, temperature difference, and the deviation of weak single cells; and the weights of each calculation are dynamically adjusted according to the rapid acceleration or overtaking scenario, the battery state of charge, the battery health status, and the historical usage intensity.

6. The method according to claim 1, characterized in that, When the overall damage risk value is lower than the scenario damage budget and the current budget balance is sufficient, the discharge capacity release coefficient is set to a higher value that allows for short-term high power output. When the overall damage risk value is close to the scenario damage budget and the current budget balance is insufficient, the discharge capacity release coefficient is set to an intermediate value that limits the duration of high power. When the overall damage risk value exceeds the scenario damage budget, the discharge capacity release coefficient is set to a lower value that triggers thermal management action or tightens the available charge state window.

7. The method according to claim 1, characterized in that, The power control instruction includes at least the allowable discharge power, the dominant damage factor identifier, the current budget balance, and the model confidence level, wherein the dominant damage factor identifier is the risk type that contributes the most to the overall damage risk value among the voltage damage risk, temperature damage risk, lithium plating risk, internal resistance growth risk, capacity decay risk, and consistency deterioration risk.

8. A discharge control device for a power battery, characterized in that, The device includes: A response module is used to determine the current discharge capacity boundary of the target vehicle in response to a short-term high discharge power request. The discharge capacity boundary is used to indicate the maximum allowable discharge power of the target vehicle at a target time scale. The identification module is used to identify the current acceleration scenario of the target vehicle, which includes at least rapid acceleration scenario and overtaking acceleration scenario. The damage calculation module is used to determine the corresponding damage factor weight coefficients based on the acceleration scenario, so as to calculate the comprehensive damage risk value of the target vehicle. The budget calculation module is used to determine the current budget balance of the target vehicle based on the acceleration scenario. The analysis module is used to determine the discharge capacity release coefficient based on the magnitude between the comprehensive damage risk value and the current budget balance value; The execution module is used to correct the discharge capacity boundary according to the discharge capacity release coefficient to obtain the allowable discharge power, so as to generate a power control command for controlling the power battery.

9. An electronic device, characterized in that, include: The device includes a processor, a memory, and a bus. The memory stores machine-readable instructions executable by the processor. When the electronic device is running, the processor communicates with the memory via the bus, and the processor executes the machine-readable instructions to perform the steps of the discharge control method for the power battery as described in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program that, when executed by a processor, performs the steps of the discharge control method for the power battery as described in any one of claims 1 to 7.

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