Vehicle battery discharge management method and device, electronic equipment, medium and product

Abstract

The invention discloses a vehicle battery discharge management method and device, electronic equipment, a medium and a product. The method comprises the steps that in the real-time operation process of a battery management system of a vehicle, a battery management system instruction is received; when the battery management system instruction is an instruction for requesting to control the continuous discharge target duration of the power battery, the current first charge state and the first environment temperature of the vehicle power battery are detected; determining a first target parameter according to the first charge state, the first environment temperature and a parameter database; according to the first target parameter, the discharge capability prediction model and the target duration, calculating a maximum discharge current value which can be safely provided by the power battery at present; and performing corresponding discharge control on the power battery according to the maximum discharge current value and an instruction of the battery management system. The method can solve the problems that performance release is conservative and dynamic working conditions and the real-time state of the battery cannot be actively adapted due to dependence on fixed rules and passive response.

Description

Technical Field

[0001] This application relates to the field of battery management technology, specifically to a vehicle battery discharge management method, device, electronic device, readable storage medium, and computer program product. Background Technology

[0002] In applications requiring high power output, such as electric vehicles, the precise control of discharge capacity by the battery management system is crucial for balancing power performance with battery safety and lifespan. Current mainstream solutions rely on expert-based rules and static thresholds. These methods use fixed current, voltage, and temperature boundary conditions and implement limiting measures when these boundaries are triggered. However, this rule-based approach is essentially a passive, a posteriori response strategy. It cannot proactively predict future risks based on the battery's real-time state, leading to conservative control strategies that fail to fully unleash the battery's instantaneous power potential and exhibit poor adaptability under dynamic and complex real-world operating conditions. Summary of the Invention

[0003] In view of the above problems, this application provides a vehicle battery discharge management method, device, electronic device, readable storage medium and computer program product, which can solve the problem that the performance release is conservative and unable to actively adapt to dynamic operating conditions and real-time battery status due to reliance on fixed rules and passive response.

[0004] In a first aspect, this application provides a vehicle battery discharge management method, including: A parameter database for pre-constructing discharge capacity prediction models is established. During the real-time operation of the vehicle's battery management system, it receives instructions from the battery management system. When the battery management system command is a command requesting control of the target duration of continuous discharge of the power battery, the current first state of charge of the vehicle power battery and the first ambient temperature are detected. The first target parameter is determined based on the first state of charge, the first ambient temperature, and the parameter database; Based on the first target parameter, the discharge capacity prediction model, and the target duration, calculate the maximum discharge current value that the power battery can currently safely provide; The power battery is discharged according to the maximum discharge current value and the instructions from the battery management system.

[0005] In the above technical solution, this method can provide reliable data support for the accurate calculation of subsequent discharge capacity by pre-constructing a parameter database of the discharge capacity prediction model; ensure timely matching of discharge management actions with system requirements by receiving battery management system instructions in real time; obtain key initial parameters affecting battery discharge capacity by detecting the battery's current first state of charge and the first ambient temperature; determine the first target parameter by combining the above parameters with the parameter database, thus building an accurate parameter bridge for discharge current calculation; calculate the maximum safe discharge current value using the first target parameter, the discharge capacity prediction model, and the target duration, ensuring the safety and rationality of the discharge process; and finally implement discharge control based on the maximum discharge current value and system instructions, achieving refined management of power battery discharge, effectively extending battery life while meeting the vehicle's power needs.

[0006] In some implementations, the parameter database for the pre-built discharge capability prediction model includes: To obtain raw discharge tolerance data of power batteries under different combinations of state of charge and ambient temperature; Based on the original discharge tolerance data, multiple sets of condition combinations are determined; wherein, the condition combination includes a state of charge and a temperature condition; Based on the original discharge tolerance data, a data set corresponding to each set of conditions is obtained; wherein, the data set includes multiple discharge current values ​​of the power battery under the corresponding condition combination and the maximum tolerance time corresponding to each discharge current value; Based on the discharge current value, the maximum tolerance time, and the preset discharge capability prediction model, calculate the best fitting parameters corresponding to each combination of conditions; A parameter database is constructed based on the combination of conditions and the best-fit parameters corresponding to each combination of conditions.

[0007] In the above technical solution, this method can construct a parameter database that accurately matches the characteristics of the battery based on the original discharge tolerance data of the power battery under different combinations of state of charge and ambient temperature. This provides comprehensive and reliable parameter support for the efficient operation of the subsequent discharge capacity prediction model and ensures the accuracy of discharge current calculation.

[0008] In some implementations, determining the first target parameter based on the first state of charge, the first ambient temperature, and the parameter database includes: The initial parameters are determined based on the first state of charge, the first ambient temperature, and the parameter database; The initial parameters are corrected according to the preset aging correction coefficient to obtain the first target parameters.

[0009] In the above technical solution, the method can combine the real-time state of charge of the battery with the ambient temperature to retrieve matching parameters, and optimize the accuracy of the parameters through the aging correction coefficient, so that the final determined first target parameter is more in line with the actual state of the battery, thereby improving the accuracy and reliability of the subsequent maximum discharge current calculation.

[0010] In some embodiments, the method further includes: When the battery management system command is to assess the safety status of the vehicle's power battery, it detects the current second state of charge, second ambient temperature, and first real-time discharge current of the power battery. Based on the second state of charge, the second ambient temperature, and the parameter database, obtain the second target parameter; Based on the second target parameter, the discharge capacity prediction model and the first real-time discharge current, calculate the remaining discharge time that the power battery is expected to be able to work safely when it is continuously discharged according to the first real-time discharge current. The current vehicle power battery safety status assessment result is output based on the remaining discharge time and the instructions from the battery management system.

[0011] In the above technical solution, when a battery safety status assessment command is received, the method can combine the battery's real-time state of charge, ambient temperature, and discharge current, rely on a parameter database and a prediction model to calculate the remaining safe discharge time, and quickly output accurate battery safety status assessment results, providing an effective basis for vehicle battery safety monitoring and risk warning.

[0012] In some embodiments, the method further includes: During each sampling period, the second real-time discharge current of the power battery is continuously detected; When the second real-time discharge current is not lower than the preset strong recovery current threshold, the average discharge current of the power battery in the current sampling period, the first historical cumulative damage score of the previous sampling period, the third state of charge and the third ambient temperature are obtained. Based on the third state of charge and the third ambient temperature, the third target parameter is obtained from the parameter database; The maximum tolerance time is calculated based on the third target parameter and the average discharge current of the battery. The current period cumulative damage score is calculated based on the sampling period, the maximum tolerance time, and the first historical cumulative damage score.

[0013] In the above technical solution, the method can monitor the real-time discharge current of the battery through periodic sampling. When the current reaches the strong recovery current threshold, it can accurately calculate the cumulative damage score of the current cycle by combining the current state of charge of the battery, the ambient temperature and historical cumulative damage data, so as to provide a quantitative basis for assessing the battery health degradation and extending the battery life.

[0014] In some implementations, calculating the current period cumulative damage score based on the sampling period, the maximum tolerance time, and the first historical cumulative damage score includes: Calculate the damage increment for this period based on the sampling period and the maximum tolerance time; The current period's cumulative damage score is calculated based on the current period's damage increment and the first historical cumulative damage score.

[0015] In the above technical solution, the method can accurately obtain the cumulative damage score of the current cycle by calculating the damage increment of the current cycle step by step and combining the historical cumulative damage score, making the quantitative assessment of battery damage more logical and accurate.

[0016] In some embodiments, the method further includes: When the second real-time discharge current is lower than the strong recovery current threshold, the fourth state of charge, the fourth ambient temperature, the current state of the battery, and the second historical cumulative damage score of the previous sampling period are obtained for the power battery in the current sampling period. Determine the recovery rate coefficient based on the current state of the battery; The damage recovery amount for this period is calculated based on the recovery rate coefficient, the second historical cumulative damage score, and the sampling period. The current period's cumulative damage score is calculated based on the second historical cumulative damage score and the current period's damage recovery amount.

[0017] In the above technical solution, the method can determine the recovery rate coefficient by combining the real-time state of the battery, the state of charge and the ambient temperature when the battery discharge current is lower than the strong recovery current threshold. Then, it can accurately calculate the damage recovery amount and the current cumulative damage score in this cycle, realize the dynamic tracking of battery damage and the quantitative compensation of reversible damage, and improve the comprehensiveness and accuracy of battery health status assessment.

[0018] In some embodiments, the method further includes: When the cumulative damage score in the current cycle exceeds a preset first warning threshold, a power reduction warning message is output. When the cumulative damage score in the current cycle reaches or exceeds the preset second warning threshold, a forced power limiting or power-off protection command is output. Wherein, the first warning threshold is less than the second warning threshold.

[0019] In the above technical solution, the method can output power reduction prompts or forced power limiting and power-off protection commands in stages according to different thresholds of the cumulative damage score of the battery in the current cycle, so as to realize the step-by-step early warning and protection of battery damage, avoid safety hazards caused by excessive damage to the battery, and effectively ensure the safety and service life of the power battery.

[0020] Secondly, this application provides a vehicle battery discharge management device, comprising: Building units are used to pre-build a parameter database for the discharge capability prediction model; The receiving unit is used to receive instructions from the battery management system during the real-time operation of the vehicle's battery management system. The first detection unit is used to detect the current first state of charge and the first ambient temperature of the vehicle's power battery when the battery management system command is a command requesting control of the target duration of continuous discharge of the power battery. The parameter determination unit is used to determine the first target parameter based on the first state of charge, the first ambient temperature, and the parameter database. The calculation unit is used to calculate the maximum discharge current value that the power battery can currently safely provide based on the first target parameter, the discharge capacity prediction model, and the target duration. The control unit is used to perform corresponding discharge control on the power battery according to the maximum discharge current value and the instructions of the battery management system.

[0021] In the above technical solution, the device can provide reliable data support for accurate calculation of subsequent discharge capacity by pre-constructing a parameter database of the discharge capacity prediction model; ensure timely matching of discharge management actions with system requirements by receiving instructions from the battery management system in real time; obtain key initial parameters affecting battery discharge capacity by detecting the battery's current first state of charge and the first ambient temperature; determine the first target parameter by combining the above parameters with the parameter database, thus building an accurate parameter bridge for discharge current calculation; calculate the maximum safe discharge current value using the first target parameter, the discharge capacity prediction model, and the target duration, ensuring the safety and rationality of the discharge process; and finally implement discharge control based on the maximum discharge current value and system instructions, achieving refined management of power battery discharge, effectively extending battery life while meeting the vehicle's power needs.

[0022] Thirdly, this application provides an electronic device including a memory and a processor, the memory storing a computer program, and the processor running the computer program to cause the electronic device to perform the vehicle battery discharge management method described in any one of the first aspects.

[0023] Fourthly, this application provides a readable storage medium storing a computer program, which, when executed by a processor, performs the vehicle battery discharge management method described in any one of the first aspects.

[0024] Fifthly, this application provides a computer program product, which includes a computer program that, when executed by a processor, performs the vehicle battery discharge management method described in any one of the first aspects.

[0025] The beneficial effects of this application are as follows: it can construct a three-parameter exponential decay model based on electrochemical mechanisms, thereby improving the accuracy and stability of discharge control; it can also replace discrete data tables with model parameters, significantly reducing storage requirements and improving the real-time response speed of the battery management system, thus optimizing data storage and computation efficiency; it can also break through fixed threshold limitations through adaptive pulse power management and a strong recovery zone mechanism, maximizing the exploitation of battery power potential within the safety boundary; it can also dynamically adjust model parameters based on battery aging status and differentiate control for different driving scenarios, achieving full life cycle and multi-scenario adaptation; and it can also accurately control the overpotential increase based on the exponential characteristics of the side reaction rate, actively preventing irreversible damage, extending battery life, and reducing the risk of failure. Attached Figure Description

[0026] 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.

[0027] Figure 1 This is a flowchart illustrating a vehicle battery discharge management method in some embodiments of this application; Figure 2 This is a flowchart illustrating a vehicle battery discharge management method in some embodiments of this application; Figure 3 This is a schematic diagram of the structure of a vehicle battery discharge management device in some embodiments of this application; Figure 4 This is a schematic diagram of the structure of an electronic device in some embodiments of this application. Detailed Implementation

[0028] The embodiments of the technical solution of this application will now be described in detail with reference to the accompanying drawings. These embodiments are only used to more clearly illustrate the technical solution of this application and are therefore merely examples, and should not be used to limit the scope of protection of this application.

[0029] 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 pertains; the terminology used herein is for the purpose of describing particular embodiments only and is not intended to limit the application; the terms “comprising” and “having”, and any variations thereof, in the specification, claims, and foregoing description of the drawings are intended to cover non-exclusive inclusion.

[0030] In the description of the embodiments of this application, technical terms such as "first" and "second" are used only to distinguish different objects and should not be construed as indicating or implying relative importance or implicitly specifying the number, specific order, or primary and secondary relationship of the indicated technical features. In the description of the embodiments of this application, "multiple" means two or more (including two), similarly, "multiple sets" refers to two or more sets (including two sets), and "multiple pieces" refers to two or more pieces (including two pieces) unless otherwise explicitly defined.

[0031] In this document, the term "embodiment" means that a particular feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of this application. The appearance of this phrase in various places throughout the specification does not necessarily refer to the same embodiment, nor is it a separate or alternative embodiment mutually exclusive with other embodiments. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.

[0032] In the description of the embodiments in this application, the term "and / or" is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, and B existing alone. Additionally, the character " / " in this document generally indicates that the preceding and following related objects have an "or" relationship.

[0033] The current method that relies on fixed rules is essentially a passive, retrospective response strategy. It cannot proactively predict future risks based on the real-time state of the battery, which leads to a conservative control strategy that is difficult to fully unleash the instantaneous power potential of the battery. At the same time, it has poor adaptability in dynamic and complex actual working conditions.

[0034] To address the aforementioned technical issues, this application provides a vehicle battery discharge management method. This method pre-constructs a parameter database for a discharge capacity prediction model, providing reliable data support for accurate subsequent discharge capacity calculations. It ensures timely matching of discharge management actions with system requirements by receiving real-time instructions from the battery management system. It obtains key initial parameters affecting battery discharge capacity by detecting the battery's current first state of charge and the first ambient temperature. It determines a first target parameter by combining the above parameters with the parameter database, building an accurate parameter bridge for discharge current calculation. It calculates the maximum safe discharge current value using the first target parameter, the discharge capacity prediction model, and the target duration, ensuring the safety and rationality of the discharge process. Finally, it implements discharge control based on the maximum discharge current value and system instructions, achieving refined management of power battery discharge and effectively extending battery life while meeting the vehicle's power needs.

[0035] like Figure 1 As shown, some embodiments of this application provide a vehicle battery discharge management method, which includes: S101, A parameter database for pre-constructing a discharge capability prediction model; S102. During the real-time operation of the vehicle's battery management system, receive instructions from the battery management system. S103. When the battery management system instruction is an instruction requesting control of the target duration of continuous discharge of the power battery, detect the current first state of charge and the first ambient temperature of the vehicle's power battery. S104. Determine the first target parameter based on the first state of charge, the first ambient temperature, and the parameter database; S105. Based on the first target parameters, the discharge capacity prediction model, and the target duration, calculate the maximum discharge current value that the power battery can currently safely provide. S106. Perform corresponding discharge control on the power battery according to the maximum discharge current value and the instructions of the battery management system.

[0036] In some embodiments, the discharge capacity prediction model refers to a mathematical model built on electrochemical mechanisms to calculate the safe discharge capacity of a power battery based on battery state parameters, environmental conditions, and time constraints.

[0037] In some embodiments, the parameter database refers to a database that stores the best-fit parameters that match the discharge capacity prediction model under different combinations of states of charge and ambient temperature.

[0038] In some embodiments, a battery management system refers to an on-board control system used to monitor and manage the operating status of a power battery and issue commands such as discharge control and safety assessment.

[0039] In some embodiments, the state of charge (SOC) refers to the percentage of the battery's current remaining charge relative to its rated capacity, and is a key parameter reflecting the battery's remaining energy.

[0040] In some embodiments, the maximum discharge current value refers to the upper limit of the current that the power battery can safely output without causing damage under the constraints of the current state of charge, ambient temperature, and target discharge duration.

[0041] For example, in a scenario where the driver needs to accelerate rapidly under time constraints, the battery management system issues a command to control the power battery to continuously discharge for Δt seconds, as follows: Based on the pre-built database of discharge capacity prediction model parameters, the model parameters corresponding to SOC=100% and T=25°C are a=519.5884, b=-0.012068, and c=14.1124. The Battery Management System (BMS) receives the rapid discharge control command; and when it detects that the current first state of charge of the power battery is 100%, the first ambient temperature is 25°C, and the target discharge duration Δt is 5 seconds, it determines the first target parameters as a=519.5884, b=-0.012068, and c=14.1124 based on the current SOC, temperature, and parameter database. Then, the first target parameter and the target duration are substituted into the discharge capability prediction model. Calculate I max =519.5884×e -0.012068×5 +14.1124≈503A, meaning the maximum safe discharge current currently available is approximately 503A. At this time, the BMS controls the power battery to discharge continuously for 5 seconds at a current not exceeding 503A based on the maximum discharge current value, in order to meet the power demand for rapid acceleration.

[0042] In some embodiments, the method can be applied to different driving modes, wherein... When applied to the economy mode, a longer discharge duration constraint can be selected to calculate a more conservative maximum discharge current, thereby achieving a balance between range and battery life. When applied to Sport mode, it can shorten the discharge duration constraint, release a larger short-time discharge current, and improve the vehicle's power response. When applied to track mode, it can update battery status parameters and discharge duration requirements in real time, dynamically calculate and adjust discharge current limits, and closely monitor battery status while allowing brief exceedances of conventional thresholds, thus meeting the power supply and safety protection requirements under extreme driving scenarios.

[0043] In the above embodiments, this method can provide reliable data support for accurate calculation of subsequent discharge capacity by pre-constructing a parameter database of the discharge capacity prediction model; ensure timely matching of discharge management actions with system requirements by receiving battery management system instructions in real time; obtain key initial parameters affecting battery discharge capacity by detecting the battery's current first state of charge and the first ambient temperature; determine the first target parameter by combining the above parameters with the parameter database, thus building an accurate parameter bridge for discharge current calculation; calculate the maximum safe discharge current value using the first target parameter, the discharge capacity prediction model, and the target duration, ensuring the safety and rationality of the discharge process; and finally implement discharge control based on the maximum discharge current value and system instructions, achieving refined management of power battery discharge, effectively extending battery life while meeting the vehicle's power needs.

[0044] In some embodiments, a parameter database for a pre-built discharge capability prediction model is included, comprising: To obtain raw discharge tolerance data of power batteries under different combinations of state of charge and ambient temperature; Based on the original discharge tolerance data, multiple sets of condition combinations were determined; each condition combination included a state of charge and a temperature condition. Based on the original discharge tolerance data, obtain the data set corresponding to each combination of conditions; wherein, the data set includes multiple discharge current values ​​of the power battery under the corresponding combination of conditions and the maximum tolerance time corresponding to each discharge current value; Based on the discharge current value, maximum tolerance time, and the preset discharge capacity prediction model, calculate the best fitting parameters for each combination of conditions. A parameter database is constructed based on the combination of conditions and the best-fit parameters corresponding to each combination of conditions.

[0045] In some embodiments, the method can perform the following data mining on the internal logic of the parameter database construction process: extract the MAP data of discharge capability and its duration at a fixed SOC and temperature from the discharge MAP of a certain cell parameter as follows:

[0046] Based on this set of data, this method can employ a three-parameter exponential decay model: t = a × e b×I The optimal fitting parameters obtained by fitting the equation with c are: a = 519.5884, b = -0.012068, c = 14.1124, and the corresponding fitting equation is I = 519.5884e^(-0.012068t) + 14.1124, with a goodness of fit R0. 2 =0.986.

[0047] During the charging and discharging process of lithium batteries, the difference between the actual voltage and the nominal voltage (e.g., charging to 4.2V instead of the theoretical equilibrium potential) is defined as the overpotential η. Its essence is the "activation energy barrier" that the electrode reaction needs to overcome. η is the core driving force for the electrochemical reaction to occur. It can be understood that the overpotential is the direct cause of the current generation.

[0048] The ability of a battery to withstand short-term high-current discharge is essentially its ability to control the increase of overpotential under high current demand. A battery that can withstand high current can avoid excessive increase in overpotential under short-term high-current conditions, thus preventing voltage drop or side reactions. Conversely, a battery may rapidly reach the discharge cutoff condition or suffer irreversible damage due to a surge in overpotential. This process can be fully explained by the source of overpotential, influencing factors, and limit threshold.

[0049] According to the Butler-Volmer equation, current density (J) and overpotential (η) are exponentially related: when a short-term high current output is required, as the total discharge current I increases, the current density J per unit area of ​​the electrode (J = I / effective electrode area) increases synchronously. At this time, the overpotential η must be significantly increased to drive the electrode reaction rate to keep up with the current demand (J increases exponentially with η in the equation). The equation expression is: J=J0[exp((α a nFη) / (RT))-exp(-(α c nFη) / (RT))]; Among these, η cannot increase indefinitely. When η exceeds a certain threshold, it will trigger internal side reactions in the battery (such as lithium plating on the negative electrode and collapse of the positive electrode structure). Even if the battery has not reached the discharge cutoff voltage, it will exhibit "current intolerance" due to damage to the electrode materials.

[0050] Under short-term high-current conditions, the increase in overpotential mainly originates from two parts: activation polarization and concentration polarization. The control capability of these two factors directly determines the battery's high-current tolerance performance. Activation polarization is the "kinetic resistance" in the electron transfer and lithium-ion insertion / extraction process at the electrode surface, directly determined by the exchange current density (J0) in the Butler-Volmer equation. During short-term high-current discharge, the migration rate of lithium ions (including conduction in the electrolyte and diffusion within the electrode material) cannot keep up with the consumption rate of the electrode reaction, leading to a sharp drop in the lithium-ion concentration at the electrode surface, which in turn forms a concentration polarization overpotential (η concentration), further exacerbating the increase in the total overpotential.

[0051] When a short-term high current causes an excessive increase in overpotential, the battery will exhibit "intolerance" by exceeding the following two thresholds: (1) Voltage cutoff threshold: The actual output voltage of the battery satisfies the formula Eacterial = Ebalance - (ηActivation + ηConcentration + ηOhm). When the total overpotential η is too large, Eacterial will quickly fall below the discharge cutoff voltage (e.g., ≤3.0V for a single lithium battery), triggering discharge protection. (2) Side reaction threshold: When η exceeds the stability range of the electrode material, irreversible side reactions will be triggered: Negative electrode side: If η is too negative (i.e., the negative electrode potential is too low), lithium ions in the electrolyte will precipitate metallic lithium on the negative electrode surface (lithium deposition), forming lithium dendrites, which not only consumes active materials, but may also puncture the separator and cause an internal short circuit in the battery. Positive electrode side: If η is too positive (i.e., the positive electrode potential is too high), it will accelerate the collapse of the positive electrode material structure (such as the dissolution of transition metals in ternary materials) or lead to the oxidation and decomposition of the electrolyte, which will significantly shorten the battery life.

[0052] According to the Butler-Volmer equation, the current I and overpotential η have an approximately exponential relationship in the high current range: I∝exp(η). Conversely, to maintain a large current output I, an exponentially increasing overpotential η is required to drive the reaction. The rate of battery side reactions (such as lithium deposition) also has an exponential relationship with overpotential: side reaction rate ∝exp(overpotential). Therefore, it can be deduced that a linear increase in current I leads to a logarithmic / linear increase in overpotential η, which in turn triggers an exponential increase in the side reaction rate, ultimately causing an exponential increase in the battery damage rate. Since the tolerance time t is inversely proportional to the damage rate, combined with the exponential relationship between the damage rate and current, the correlation t∝1 / exp(I)=exp(-I) can be further derived.

[0053] In summary, the analysis from the perspective of overpotential shows that each pair of (current, time) data in the discharge MAP represents the time during which the battery can operate stably under different overpotential stress levels.

[0054] Low current operating conditions: low overpotential stress, slow side reaction rate, and long stable battery operating time; High current conditions: Overpotential stress increases exponentially, the rate of side reactions increases explosively, and the battery can accumulate enough damage to cause failure in a very short time.

[0055] Therefore, the exponential decay characteristic of the withstand time with the discharge current fundamentally reflects the exponential change law of the "rate of electrochemical overpotential-driven side reaction" with the increase of current. The core control logic of the battery management system (BMS) is to monitor and calculate these overpotential-related parameters in real time to ensure that the battery always works on the safe side of this "cliff curve".

[0056] Based on the above logic, the offline construction process of the parameter database can be specified as follows: Discharge tolerance data under different SOC and temperature combinations are obtained through experiments, and then the corresponding parameters are obtained by fitting a three-parameter exponential decay model, finally forming the following compact parameter table, rather than storing massive discrete data points:

[0057] Compared to traditional tables that store multiple sets of current-time discrete data, this parameter table only needs to store three parameters, a, b, and c, to characterize the discharge tolerance characteristics under a certain SOC-temperature combination. This significantly reduces the amount of data stored and also provides an efficient parameter retrieval basis for subsequent online calculations.

[0058] In the above embodiments, the method can construct a parameter database that accurately matches the characteristics of the battery based on the original discharge tolerance data of the power battery under different combinations of state of charge and ambient temperature, providing comprehensive and reliable parameter support for the efficient operation of the subsequent discharge capacity prediction model and ensuring the accuracy of discharge current calculation.

[0059] In some embodiments, determining the first target parameter based on the first state of charge, the first ambient temperature, and a parameter database includes: The initial parameters are determined based on the first state of charge, the first ambient temperature, and the parameter database. The initial parameters are corrected according to the preset aging correction coefficient to obtain the first target parameters.

[0060] In some embodiments, the aging correction coefficient is determined in combination with the aging state of the battery and the operating conditions of the system, and can be precisely adapted by adjusting the coefficients of the initial parameters of the model.

[0061] For example, the method can multiply the initial parameter a by 0.95 to characterize the decrease in lithium-ion diffusion capacity after battery aging; The initial parameter b is multiplied by 1.05 to reflect the characteristic that the battery is more sensitive to changes in discharge current after aging. Multiply the initial parameter c by 0.9 to reflect the performance degradation pattern caused by the accelerated heat accumulation rate after battery aging.

[0062] In the above embodiments, the method can combine the real-time state of charge of the battery with the ambient temperature to retrieve matching parameters, and optimize the accuracy of the parameters through the aging correction coefficient, so that the final determined first target parameter is more in line with the actual state of the battery, thereby improving the accuracy and reliability of the subsequent maximum discharge current calculation.

[0063] In some embodiments, the method further includes: When the battery management system commands an instruction to assess the safety status of the vehicle's power battery, it detects the current second state of charge of the power battery, the second ambient temperature, and the first real-time discharge current. Based on the second state of charge, the second ambient temperature, and the parameter database, obtain the second target parameters; Based on the second target parameters, the discharge capacity prediction model and the first real-time discharge current, calculate the remaining discharge time that the power battery is expected to be able to work safely when it is continuously discharged according to the first real-time discharge current. The system outputs the current vehicle power battery safety status assessment result based on the remaining discharge time and instructions from the battery management system.

[0064] For example, when the current power battery is discharging at a current of Inow, and the battery management system needs to predict how long it can safely discharge, the GIA method can retrieve the corresponding second target parameters a, b, and c from the parameter database based on the detected second state of charge and the second ambient temperature, and substitute them into the derivation formula of the discharge capacity prediction model to solve for the remaining safe discharge time. The formula is: t remain =(ln((I now c) / a)) / b; The current battery state can be 50% state of charge, ambient temperature 25°C, and real-time discharge current I. now =400A, the corresponding model parameters are a=519.5884, b=-0.012068, c=14.1124, substituting them into the formula yields: t remain =(ln((400 14.1124) / 519.5884)) / (-0.012068)≈25 seconds; The significance of this calculation method is that, compared with the simple current-time integration method, it can more accurately output the remaining safe discharge time of the battery under the current operating conditions, providing reliable data support for the battery management system to output the safety status assessment results.

[0065] In the above embodiments, when a battery safety status assessment command is received, the method can combine the real-time state of charge of the battery, ambient temperature and discharge current, rely on the parameter database and prediction model to calculate the remaining safe discharge time, and quickly output accurate battery safety status assessment results, providing an effective basis for vehicle battery safety monitoring and risk warning.

[0066] In some embodiments, the method further includes: During each sampling period, the second real-time discharge current of the power battery is continuously monitored; When the second real-time discharge current is not lower than the preset strong recovery current threshold, the average discharge current of the power battery in the current sampling period, the first historical cumulative damage score of the previous sampling period, the third state of charge and the third ambient temperature are obtained. Based on the third state of charge and the third ambient temperature, obtain the third target parameter from the parameter database; Calculate the maximum tolerance time based on the third target parameter and the average battery discharge current; The current period's cumulative damage score is calculated based on the sampling period, maximum tolerance time, and the first historical cumulative damage score.

[0067] For example, in actual vehicle operation, the discharge current of the power battery is often in a state of rapid fluctuation. In this case, if only the current at a certain moment is substituted into the model t=a×e, b×I +c makes it impossible to accurately predict the remaining safe discharge time under dynamic operating conditions.

[0068] To address this issue, the solution is to introduce the concept of cumulative damage (or "normalized time"), which treats the battery discharge process as a continuous accumulation of damage. When the cumulative damage score reaches a threshold of 1, the battery is deemed to have reached its current tolerance limit and discharge must be stopped.

[0069] Wherein, the normalized damage score D∈[0,1] is defined, and the battery state corresponding to its value is: D=0: The battery is undamaged and in brand new condition; D=1: Battery damage has accumulated to the tolerance limit, and protection must be triggered to stop discharging.

[0070] Based on this concept, when the second real-time discharge current is detected to be no less than the strong recovery current threshold in each sampling period, the damage score of the current period can be calculated by combining the sampling period, historical cumulative damage score and model parameters.

[0071] In the above embodiments, the method can monitor the real-time discharge current of the battery through periodic sampling. When the current reaches the strong recovery current threshold, it can accurately calculate the cumulative damage score of the current cycle by combining the current state of charge of the battery, the ambient temperature and historical cumulative damage data, so as to provide a quantitative basis for assessing the battery health degradation and extending the battery life.

[0072] In some embodiments, the current period cumulative damage score is calculated based on the sampling period, maximum tolerance time, and first historical cumulative damage score, including: Calculate the damage increment for this period based on the sampling period and the maximum tolerance time; The current period's cumulative damage score is calculated based on the current period's damage increment and the first historical cumulative damage score.

[0073] In some embodiments, for a constant discharge current I, the formula for calculating the cumulative damage fraction of the battery over time t is: D=t / T max (I); Among them, T max (I)=ln((I c) / a) / b represents the maximum withstand time of the battery under this current, and a, b, and c are the corresponding model parameters retrieved from the parameter database.

[0074] From a continuous time perspective, the rate of change of the damage fraction at any given moment satisfies: dD / dt=1 / T max [I(t)]; For discrete-time scenarios applicable to battery management systems, the calculation steps for the cumulative damage score in the current period within the sampling period Δt are as follows: (1) Based on the sampling period Δt and the maximum withstand time T corresponding to the average current I(k) of the current sampling period. max [I(k)], calculate the damage increment for this period: ΔD=Δt / T max [I(k)]; (2) The cumulative damage score for the current period is obtained by superimposing the damage increment of the current period with the first historical cumulative damage score D(k) of the previous sampling period, as shown in the formula: D(k+1)=D(k)+ Δt / T max [I(k)].

[0075] In the above embodiments, the method can accurately obtain the cumulative damage score of the current cycle by calculating the damage increment of the current cycle step by step and combining the historical cumulative damage score, making the quantitative assessment of battery damage more logical and accurate.

[0076] In some embodiments, the method further includes: When the second real-time discharge current is lower than the strong recovery current threshold, the fourth state of charge of the power battery in the current sampling period, the fourth ambient temperature, the current state of the battery, and the second historical cumulative damage score of the previous sampling period are obtained. Determine the recovery rate coefficient based on the current state of the battery; The amount of damage recovered in this period is calculated based on the recovery rate coefficient, the second historical cumulative damage fraction, and the sampling period. The current period's cumulative damage score is calculated based on the second historical cumulative damage score and the damage recovery amount in this period.

[0077] In some embodiments, this process is implemented based on an extended model that considers the recovery effect. When the second real-time discharge current is detected to be lower than the strong recovery current threshold, the battery damage no longer simply accumulates, but enters a dynamic equilibrium stage of "damage accumulation-repair". The core calculation logic and principle are as follows: The rate of change of damage fraction satisfies the formula: dD / dt=1 / T max [I(t)] R×D×(1 D); Among them, 1 / T max [I(t)] represents the damage accumulation rate under the current; R×D×(1 D) represents the damage repair rate; R is the recovery rate coefficient, which is not a fixed constant, but a function related to the battery state. Its specific expression is: R = R0 × f(T) × g(SOC) × h(SOH); R0 is the basic recovery rate constant, and f(T), g(SOC), and h(SOH) are correction functions related to temperature, state of charge, and health status, respectively. Their specific values ​​can be determined experimentally.

[0078] In some embodiments, R×D×(1) in the above formula D) is essentially a variant of the logistic equation, and its physical meaning can be broken down as follows: When D approaches 0, the recovery rate approaches 0, meaning there is no room for repair when the battery is undamaged. When D approaches 1, the recovery rate approaches 0, meaning that when the battery damage is close to the tolerance limit, the repair is extremely difficult. When D=0.5, the recovery rate reaches its maximum value of R×0.25; This form naturally restricts the damage score D to the [0,1] interval, accurately describing the characteristic that "the difficulty of recovery changes non-linearly with the degree of damage".

[0079] In some embodiments, if the base model does not fit well, the following correction schemes may be introduced: (1) Asymmetric recovery correction: dD / dt= R×D α ×(1 D) β When α≠β, the recovery process exhibits asymmetric characteristics; (2) Delayed recovery correction: dD / dt= R×(D D irreversible)×(1 D), Introducing an irreversibly damaged substrate D irreversible It is suitable for battery conditions with permanent damage; (3) Multiple time constant correction: dD / dt= ∑R i ×D×(1 D) By summing the rate coefficients of different recovery mechanisms, the model's adaptability to complex repair processes is improved.

[0080] In some embodiments, a supplementary explanation regarding the strong recovery zone is provided: The strong recovery zone is a key area for the battery to achieve "self-healing while working." Essentially, the characteristic time of various relaxation processes within the battery is much shorter than the period of external current disturbances. This "recovery while working" characteristic allows the battery to repair some reversible damage caused by previous high-current pulses within this zone, achieving the intelligent management goal of "maintaining while in use and repairing while in motion," thereby significantly improving the overall power performance of the battery without increasing safety risks.

[0081] Furthermore, the current threshold of the strong recovery region needs to be obtained through precise experiments and verified by model fitting, which is a complete process from macroscopic phenomenon observation to microscopic mechanism parameter extraction.

[0082] In the above embodiments, the method can determine the recovery rate coefficient by combining the real-time state of the battery, the state of charge, and the ambient temperature when the battery discharge current is lower than the strong recovery current threshold. This allows for the accurate calculation of the damage recovery amount and the current cumulative damage score for the current cycle, enabling dynamic tracking of battery damage and quantitative compensation for reversible damage, thereby improving the comprehensiveness and accuracy of battery health status assessment.

[0083] In some embodiments, the method further includes: When the cumulative damage score in the current cycle exceeds the preset first warning threshold, a power reduction warning message is output. When the cumulative damage score in the current cycle reaches or exceeds the preset second warning threshold, a forced power limiting or power-off protection command is output. The first warning threshold is lower than the second warning threshold.

[0084] In the above embodiments, the method can output power reduction prompts or forced power limiting and power-off protection commands in stages according to different thresholds of the cumulative damage score of the battery in the current cycle, so as to realize step-by-step early warning and protection against battery damage, avoid safety hazards caused by excessive damage to the battery, and effectively ensure the safety and service life of the power battery.

[0085] To make the objectives, technical solutions, and advantages of this application clearer, the technical solutions in this application will be clearly and completely described below. In some embodiments, such as Figure 2As shown, the vehicle battery discharge management method includes: S201. Obtain raw discharge tolerance data of the power battery under different combinations of state of charge and ambient temperature. S202. Based on the original discharge tolerance data, determine multiple sets of condition combinations; among them, the condition combination includes a state of charge and a temperature condition. S203. Based on the original discharge tolerance data, obtain the data set corresponding to each combination of conditions; wherein, the data set includes multiple discharge current values ​​of the power battery under the corresponding combination of conditions and the maximum tolerance time corresponding to each discharge current value; S204. Based on the discharge current value, maximum withstand time, and the preset three-parameter exponential decay function model, calculate the best fitting parameters for each combination of conditions. S205. Construct a parameter database based on the combination of conditions and the best-fit parameters corresponding to each combination of conditions. S206. During the real-time operation of the vehicle's battery management system, receive instructions from the battery management system. S207. When the battery management system instruction is an instruction requesting control of the target duration of continuous discharge of the power battery, detect the current first state of charge and the first ambient temperature of the vehicle's power battery. S208. Determine the initial parameters based on the first state of charge, the first ambient temperature, and the parameter database; S209. Correct the initial parameters according to the preset aging correction coefficient to obtain the first target parameters; S210. Based on the first target parameters, the discharge capacity prediction model, and the target duration, calculate the maximum discharge current value that the power battery can currently safely provide. S211. Perform corresponding discharge control on the power battery according to the maximum discharge current value and the instructions of the battery management system. S212. During each sampling period, the second real-time discharge current of the power battery is continuously detected; S213. When the second real-time discharge current is not lower than the preset strong recovery current threshold, the average discharge current of the power battery in the current sampling period, the first historical cumulative damage score of the previous sampling period, the third state of charge and the third ambient temperature are obtained. S214. Obtain the third target parameter from the parameter database based on the third state of charge and the ambient temperature of the third location; S215. Calculate the maximum tolerance time based on the third target parameter and the average battery discharge current; S216. Calculate the damage increment for this period based on the sampling period and the maximum tolerance time; S217. Calculate the current period's cumulative damage score based on the current period's damage increment and the first historical cumulative damage score. S218. When the cumulative damage score in the current cycle exceeds the preset first warning threshold, output a power reduction prompt message; S219. When the cumulative damage score in the current cycle reaches or exceeds the preset second warning threshold, output a forced power limiting or power outage protection command.

[0086] Figure 3 A schematic diagram of a vehicle battery discharge management device is shown. It should be understood that this device is related to... Figure 1 The method executed in the middle corresponds to the steps involved in the aforementioned method. The specific functions and effects of the device can be found in the description above. To avoid repetition, detailed descriptions are omitted here.

[0087] The vehicle battery discharge management device includes: Building unit 310 is used to pre-build a parameter database for the discharge capability prediction model; The receiving unit 320 is used to receive instructions from the battery management system during the real-time operation of the vehicle's battery management system. The first detection unit 330 is used to detect the current first state of charge and the first ambient temperature of the vehicle's power battery when the battery management system command is a command requesting control of the target duration of continuous discharge of the power battery. The parameter determination unit 340 is used to determine the first target parameter based on the first state of charge, the first ambient temperature, and the parameter database; The calculation unit 350 is used to calculate the maximum discharge current value that the power battery can currently safely provide based on the first target parameter, the discharge capacity prediction model and the target duration. The control unit 360 is used to perform corresponding discharge control on the power battery according to the maximum discharge current value and the instructions of the battery management system.

[0088] In some embodiments, the building unit 310 includes: Acquisition subunit 311 is used to acquire the original discharge tolerance data of the power battery under different combinations of state of charge and ambient temperature. The first determining subunit 312 is used to determine multiple sets of condition combinations based on the original discharge tolerance data; wherein, the condition combination includes a state of charge and a temperature condition. The acquisition subunit 311 is also used to acquire a data set corresponding to each condition combination based on the original discharge tolerance data; wherein, the data set includes multiple discharge current values ​​of the power battery under the corresponding condition combination and the maximum tolerance time corresponding to each discharge current value; The calculation subunit 313 is used to calculate the best fitting parameters corresponding to each combination of conditions based on the discharge current value, maximum tolerance time, and preset discharge capability prediction model. Subunit 314 is constructed to build a parameter database based on the combination of conditions and the best-fit parameters corresponding to each combination of conditions.

[0089] In some embodiments, the parameter determination unit 340 includes: The second determining subunit 341 is used to determine the initial parameters based on the first state of charge, the first ambient temperature, and the parameter database. The correction subunit 342 is used to correct the initial parameters according to the preset aging correction coefficient to obtain the first target parameters.

[0090] In some embodiments, the vehicle battery discharge management device further includes: The second detection unit 370 is used to detect the current second state of charge, second ambient temperature, and first real-time discharge current of the power battery when the battery management system command is to assess the safety status of the vehicle's power battery. The acquisition unit 380 is used to acquire the second target parameters based on the second state of charge, the second ambient temperature, and the parameter database. The calculation unit 350 is used to calculate the remaining discharge time that the power battery is expected to be able to work safely when it is continuously discharged according to the first real-time discharge current, based on the second target parameters, the discharge capacity prediction model and the first real-time discharge current. The output unit 390 is used to output the current vehicle power battery safety status assessment result based on the remaining discharge time and the instructions of the battery management system.

[0091] In some embodiments, the vehicle battery discharge management device further includes: The third detection unit 400 is used to continuously detect the second real-time discharge current of the power battery in each sampling cycle. The acquisition unit 380 is also used to acquire the average battery discharge current, the first historical cumulative damage score, the third state of charge, and the third ambient temperature of the power battery in the current sampling period when the second real-time discharge current is not lower than the preset strong recovery current threshold. The acquisition unit 380 is also used to acquire the third target parameter from the parameter database based on the third state of charge and the third ambient temperature. The calculation unit 350 is also used to calculate the maximum tolerance time based on the third target parameter and the average discharge current of the battery; The calculation unit 350 is also used to calculate the current period cumulative damage score based on the sampling period, the maximum tolerance time, and the first historical cumulative damage score.

[0092] In some embodiments, the calculation unit 350 is specifically configured to calculate the damage increment of the current period based on the sampling period and the maximum tolerance time; and to calculate the cumulative damage score of the current period based on the damage increment of the current period and the first historical cumulative damage score.

[0093] In some embodiments, the vehicle battery discharge management device further includes: The acquisition unit 380 is also used to acquire the fourth state of charge, the fourth ambient temperature, the current state of the battery, and the second historical cumulative damage score of the previous sampling period when the second real-time discharge current is lower than the strong recovery current threshold. The coefficient determination unit 410 is used to determine the recovery rate coefficient based on the current state of the battery. The calculation unit 350 is used to calculate the damage recovery amount in the current period based on the recovery rate coefficient, the second historical cumulative damage fraction, and the sampling period. The calculation unit 350 is also used to calculate the current period's cumulative damage score based on the second historical cumulative damage score and the damage recovery amount of the current period.

[0094] In some embodiments, the output unit 390 is configured to output a power reduction warning message when the accumulated damage score in the current cycle exceeds a preset first warning threshold. The output unit 390 is also used to output a forced power limiting or power-off protection command when the accumulated damage score in the current cycle reaches or exceeds a preset second warning threshold. The first warning threshold is lower than the second warning threshold.

[0095] like Figure 4 As shown, this application provides an electronic device 500, which includes a processor 501 and a memory 502. The processor 501 and the memory 502 are interconnected and communicate with each other through a communication bus 503 and / or other forms of connection mechanism (not shown). The memory 502 stores a computer program that can be executed by the processor 501. When the computing device is running, the processor 501 executes the computer program to perform the method in any of the aforementioned optional implementations.

[0096] This application provides a computer-readable storage medium storing a computer program, which, when executed by a processor, performs the method in any of the aforementioned optional implementations.

[0097] The computer-readable storage medium can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as Static Random Access Memory (SRAM), Electrically Erasable Programmable Read-Only Memory (EEPROM), Erasable Programmable Read Only Memory (EPROM), Programmable Red-Only Memory (PROM), Read-Only Memory (ROM), magnetic storage, flash memory, magnetic disk, or optical disk.

[0098] This application provides a computer program product, which includes a computer program that, when run by a processor, executes the method in any of the aforementioned optional implementations.

[0099] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of this application, and not to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some or all of the technical features therein. These modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of this application, and they should all be covered within the scope of the claims and specification of this application. In particular, as long as there is no conflict, the various technical features mentioned in the embodiments can be combined in any way. This application is not limited to the specific embodiments disclosed herein, but includes all technical solutions falling within the scope of the claims.

Claims

1. A vehicle battery discharge management method, characterized by, The method comprises the following steps: pre-constructing a parameter database of a discharge capacity prediction model; receiving a battery management system instruction in real time during the operation of the battery management system of the vehicle; when the battery management system instruction is an instruction for requesting control of the target duration of continuous discharge of the power battery, detecting the current first state of charge and the first ambient temperature of the power battery of the vehicle; determining a first target parameter according to the first state of charge, the first ambient temperature and the parameter database; calculating the maximum discharge current value that the power battery can safely provide at present according to the first target parameter, the discharge capacity prediction model and the target duration; performing corresponding discharge control on the power battery according to the maximum discharge current value and the battery management system instruction.

2. The vehicle battery discharge management method of claim 1, wherein The pre-constructed parameter database of the discharge capacity prediction model comprises: obtaining original discharge tolerance capacity data of the power battery under different combinations of state of charge and ambient temperature; determining a plurality of condition combinations according to the original discharge tolerance capacity data; wherein the condition combination comprises a state of charge and a temperature condition; obtaining a data set corresponding to each of the condition combinations according to the original discharge tolerance capacity data; wherein the data set comprises a plurality of discharge current values of the power battery under the corresponding condition combination and a maximum tolerance time corresponding to each of the discharge current values; calculating the best fitting parameter corresponding to each of the condition combinations according to the discharge current value, the maximum tolerance time and a preset discharge capacity prediction model; constructing a parameter database according to the condition combinations and the best fitting parameter corresponding to each of the condition combinations.

3. The vehicle battery discharge management method of claim 1, wherein The method further comprises: when the battery management system instruction is an instruction for evaluating the safety state of the power battery of the vehicle, detecting the current second state of charge, the second ambient temperature and the first real-time discharge current of the power battery; obtaining a second target parameter according to the second state of charge, the second ambient temperature and the parameter database; 4. The vehicle battery discharge management method of claim 1, wherein calculating the remaining discharge time that the power battery can still safely work according to the second target parameter, the discharge capacity prediction model and the first real-time discharge current when the power battery continuously discharges at the first real-time discharge current; outputting the current power battery safety state evaluation result according to the remaining discharge time and the battery management system instruction. The method further comprises: continuously detecting the second real-time discharge current of the power battery in each sampling period; when the second real-time discharge current is not lower than a preset strong recovery current threshold, obtaining the battery average discharge current of the power battery in the current sampling period, the first historical cumulative damage score, the third state of charge and the third ambient temperature of the last sampling period; 5. The vehicle battery discharge management method of claim 1, wherein ​ ​ ​ acquire a third target parameter from the parameter database according to the third state of charge and the third ambient temperature; calculate a maximum tolerance time according to the third target parameter and the average discharge current of the battery; calculate a current period cumulative damage score according to the sampling period, the maximum tolerance time and the first historical cumulative damage score.

6. The vehicle battery discharge management method of claim 5, wherein, The calculating a current period cumulative damage score according to the sampling period, the maximum tolerance time and the first historical cumulative damage score comprises: calculate a current period damage increment according to the sampling period and the maximum tolerance time; calculate a current period cumulative damage score according to the current period damage increment and the first historical cumulative damage score.

7. The vehicle battery discharge management method of claim 5, wherein, The method further comprises: when the second real-time discharge current is lower than the strong recovery current threshold, acquire a fourth state of charge, a fourth ambient temperature, a current state of the battery and a second historical cumulative damage score of a previous sampling period of the power battery in a current sampling period; determine a recovery rate coefficient according to the current state of the battery; calculate a current period damage recovery amount according to the recovery rate coefficient, the second historical cumulative damage score and the sampling period; calculate a current period cumulative damage score according to the second historical cumulative damage score and the current period damage recovery amount.

8. The vehicle battery discharge management method of any one of claims 5-7, wherein, The method further comprises: when the current period cumulative damage score exceeds a preset first warning threshold, output a power reduction prompt information; when the current period cumulative damage score reaches or exceeds a preset second warning threshold, output a forced power limiting or power-off protection instruction; wherein the first warning threshold is less than the second warning threshold.

9. A vehicle battery discharge management device, characterized by, The vehicle battery discharge management device comprises: a construction unit configured to pre-construct a parameter database of a discharge capacity prediction model; a receiving unit configured to receive a battery management system instruction during real-time operation of a battery management system of a vehicle; a first detection unit configured to detect a current first state of charge and a first ambient temperature of a power battery of the vehicle when the battery management system instruction is an instruction for requesting control of a target duration of continuous discharge of the power battery; a parameter determination unit configured to determine a first target parameter according to the first state of charge, the first ambient temperature and the parameter database; a calculation unit configured to calculate a maximum discharge current value that can be safely provided by the power battery according to the first target parameter, the discharge capacity prediction model and the target duration; a control unit configured to perform corresponding discharge control on the power battery according to the maximum discharge current value and the battery management system instruction.

10. An electronic device, comprising: The electronic device comprises a memory and a processor, the memory is configured to store a computer program, and the processor is configured to run the computer program to enable the electronic device to perform the vehicle battery discharge management method of any one of claims 1 to 8.

11. A readable storage medium, characterized by, The readable storage medium stores a computer program, and the computer program is run by the processor to perform the vehicle battery discharge management method of any one of claims 1 to 8.

12. A computer program product, characterised in that, The computer program product comprises a computer program which, when executed by a processor, performs the vehicle battery discharge management method according to any one of claims 1 to 8.

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