A power battery active thermal management control method

Abstract

This invention relates to an active thermal management control method for power batteries, comprising triggering temperature detection when the vehicle is powered off after charging is completed, and triggering temperature detection at a preset cycle when the vehicle is powered off for an extended period of time to obtain temperature data of the power battery; constructing a thermal management algorithm based on the temperature data falling within a preset temperature range to form a corresponding thermal management strategy; and performing thermal management actions on the power battery according to the thermal management strategy until the power battery temperature returns to the preset temperature range, thereby achieving active prediction and intervention of the power battery temperature and avoiding the limitations of traditional solutions that only perform thermal management during driving or charging.

Description

Technical Field

[0001] This invention belongs to the field of battery thermal management technology, and particularly relates to an active thermal management control method for power batteries. Background Technology

[0002] As a core energy component of new energy equipment, the operating temperature of a power battery directly determines its energy output efficiency, cycle life, safety, and overall performance, making it a core indicator for the design and management of power battery systems. The optimal operating temperature range for power batteries is strictly defined. At excessively low temperatures, the internal lithium-ion diffusion rate decreases significantly, leading to incomplete electrochemical reactions, resulting in reduced usable capacity and limited charging / discharging power, failing to meet the normal power demands of the equipment. Conversely, at excessively high temperatures, the battery's internal resistance increases, and the heat generation rate accelerates. This not only triggers the power limiting logic of the battery management system, affecting the user experience, but also increases the risk of thermal runaway, fires, and even explosions. Furthermore, high temperatures accelerate the aging of the battery's positive and negative electrode materials and electrolyte decomposition, significantly shortening the battery's cycle life. Therefore, maintaining the power battery temperature within its optimal operating range is crucial for ensuring the safe, healthy, and stable operation of the power battery system and is a core technological support for promoting the industrialization of new energy equipment.

[0003] Currently, power battery thermal management is implemented after the vehicle is powered on, controlling heating or cooling based on the battery temperature. Thermal management is activated passively upon system wake-up. However, actual usage requires the vehicle to enter normal operation immediately after power-on, and the power battery temperature should not affect vehicle performance. Passive thermal management often fails to meet these requirements. Therefore, active thermal management is more important. Active thermal management proactively engages with the power battery thermal management system, keeping the battery system within its normal temperature range and ensuring uninterrupted vehicle operation.

[0004] When a vehicle is in a dormant state after charging is completed or during long-term parking, the vehicle's high-voltage system, thermal management system, and battery management system all enter a dormant state, unable to collect temperature data, make logical judgments, or actively regulate, creating a blind spot in control that disconnects immediately upon power-off. In such scenarios, the power battery is highly susceptible to drastic fluctuations in external ambient temperature, leading to problems such as overheating at high temperatures, insufficient activity at low temperatures, and excessive temperature differences between cells. This not only accelerates battery capacity degradation and reduces lifespan but may also cause safety hazards such as thermal runaway due to abnormally high local temperatures.

[0005] Meanwhile, existing thermal management control strategies have not been optimized by combining actual operating data under multiple operating conditions. They cannot dynamically adjust control parameters based on key influencing factors such as driving, charging, environmental changes, and thermal management efficiency. As a result, the control accuracy and adaptability are poor, making it difficult to cover the temperature control requirements of the entire life cycle and all scenarios of the power battery, which restricts the improvement of the safety and reliability of the power battery system of new energy vehicles. Summary of the Invention

[0006] In view of this, the present invention provides an active thermal management control method for power batteries, which solves the technical problem that existing power battery thermal management has a blind spot when the vehicle is powered off.

[0007] To achieve the above objectives, in a first aspect, the technical solution of the present invention to solve the technical problem is to provide a power battery active thermal management control method, comprising: triggering temperature detection in the power-off state after the vehicle has finished charging, and triggering temperature detection according to a preset cycle in the power-off state when the vehicle has been parked for a long time, to obtain the temperature data of the power battery; constructing a thermal management algorithm based on the temperature data being within a preset temperature range, and forming a corresponding thermal management strategy; and performing thermal management actions on the power battery according to the thermal management strategy until the power battery temperature recovers to the preset temperature range.

[0008] In one specific embodiment, the preset temperature range includes a first temperature range, a second temperature range, and a third temperature range.

[0009] In one specific embodiment, when the temperature detection is triggered, the temperature difference data of the power battery cells is also acquired, and the temperature difference data is compared with a predetermined temperature difference threshold. When the cell temperature difference data exceeds the predetermined temperature difference threshold, thermal management actions are performed on the power battery according to the thermal management strategy.

[0010] In one specific embodiment, when the vehicle is powered off after charging is complete, the construction of the thermal management algorithm includes: predicting the next action of the vehicle and combining it with the current temperature data to form operating condition information; combining the operating condition information with environmental parameters to form an active thermal management model, extracting the influence law on the temperature of the power battery, and constructing the thermal management algorithm.

[0011] In one specific embodiment, the method of performing thermal management actions on the power battery according to the thermal management strategy further includes: real-time acquisition of the actual operating parameters of the thermal management system, and calculation of the actual thermal management efficiency of the current thermal management strategy based on the actual operating parameters; comparison of the actual thermal management efficiency with the preset target thermal management efficiency to determine whether the actual thermal management efficiency reaches the preset target; if the actual thermal management efficiency is lower than the preset target thermal management efficiency, correction and optimization of the control parameters in the constructed active thermal management algorithm; and feeding back the optimized control parameters to the active thermal management model on which the active thermal management algorithm is based, updating the influence law between the operating conditions, environmental parameters and the temperature change of the power battery in the model, thereby completing the optimization of the active thermal management algorithm.

[0012] In one specific embodiment, after optimizing the active thermal management algorithm, the method further includes: based on the optimized active thermal management algorithm, continuing to execute the power battery thermal management control actions, continuously collecting the actual operating parameters of the thermal management system, and calculating the actual thermal management efficiency of each thermal management control in real time; if the actual thermal management efficiency is lower than the preset target thermal management efficiency again, or if the thermal management efficiency decreases due to power battery aging, sudden changes in environmental parameters, or switching of operating conditions, the control parameters in the active thermal management algorithm are repeatedly corrected and optimized; the optimized control parameters are fed back to the active thermal management model each time, continuously updating the influence law between operating conditions, environmental parameters and power battery temperature changes in the model, thereby realizing continuous iterative optimization of the active thermal management algorithm.

[0013] In one specific embodiment, when the temperature detection is triggered, if an abnormal local temperature of the power battery is detected, forced cooling is performed and a fault alert is output.

[0014] Secondly, the present invention provides an active thermal management control device for a power battery, comprising: an active wake-up module, used to trigger temperature detection in the power-off state after the vehicle has finished charging, and to trigger temperature detection according to a preset cycle in the power-off state when the vehicle has been parked for a long time, so as to obtain temperature data of the power battery; a strategy generation module, used to construct a thermal management algorithm based on the temperature data being within a preset temperature range, and to form a corresponding thermal management strategy; and an execution module, used to perform thermal management actions on the power battery according to the thermal management strategy until the power battery temperature recovers to the preset temperature range.

[0015] Thirdly, the present invention provides a computer device, comprising: a memory and at least one processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the steps of the active thermal management control method for the power battery.

[0016] Fourthly, the present invention provides a computer-readable storage medium having a computer program stored thereon, characterized in that the computer program, when executed by a processor, implements the active thermal management control method for a power battery.

[0017] Compared with the prior art, the beneficial effects of the present invention are as follows: By introducing active thermal management control logic after charging and during long-term parking, the system proactively predicts and intervenes in the temperature of the power battery, avoiding the limitations of traditional solutions that only manage thermally during driving or charging. By constructing an active thermal management algorithm based on operating condition prediction and environmental parameters, and iteratively optimizing thermal management efficiency, the system achieves precise control and continuous self-adaptation of the power battery temperature, significantly improving temperature control response speed and system energy efficiency. By designing independent forced cooling and fault warning mechanisms for extreme scenarios, the system effectively enhances the power battery's emergency response capabilities under safety risks such as localized temperature anomalies, buying crucial time for safe vehicle transport and fault handling. Furthermore, through continuous iterative optimization of thermal management strategies under different operating conditions, environments, and aging states, the system can better adapt to complex usage scenarios throughout the vehicle's entire lifecycle, ensuring power battery safety and lifespan while improving overall vehicle reliability and user experience. Attached Figure Description

[0018] Figure 1 This is a flowchart of the steps of the active thermal management control method for power batteries provided in the first embodiment of the present invention; Figure 2 This is a hardware topology diagram of the active thermal management system for power batteries. Figure 3 A graph showing the effect of active thermal management control of the power battery in charging mode; Figure 4 This is a graph showing the effect of active thermal management control on the power battery under long-term parking conditions. Detailed Implementation

[0019] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of this application, and not all of the embodiments. Based on the embodiments of this application, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of this application.

[0020] It should be noted that all directional indications in the embodiments of this application are only used to explain the relative positional relationship and movement of each component in a specific posture. If the specific posture changes, the directional indications will also change accordingly.

[0021] Furthermore, the use of terms such as "first" and "second" in this application is for descriptive purposes only and should not be construed as indicating or implying their relative importance or implicitly specifying the number of technical features indicated. Therefore, a feature defined as "first" or "second" may explicitly or implicitly include at least one of that feature. Additionally, the technical solutions of the various embodiments can be combined with each other, but this must be based on the ability of a person skilled in the art to implement them. When the combination of technical solutions is contradictory or impossible to implement, the user should consider such a combination of technical solutions to be non-existent and not within the scope of protection claimed in this application.

[0022] like Figure 1 As shown, the active thermal management control method for power batteries provided in the first embodiment of the present invention includes the following steps: S100 triggers temperature detection when the vehicle is powered off after charging is complete, and triggers temperature detection according to a preset cycle when the vehicle is powered off for a long period of time to obtain the temperature data of the power battery. Specifically, once the vehicle has finished charging and is powered off, the thermal management system is activated and triggers a temperature check of the power battery to obtain its current temperature. This check is a single-trigger operation designed to confirm whether the battery temperature is within a safe range after charging is complete.

[0023] When a vehicle is in a powered-off state for an extended period of time, in order to prevent the power battery from being disconnected from monitoring for a long time, the thermal management system can be activated according to a preset time cycle to collect the temperature of the power battery and realize real-time temperature monitoring in the powered-off state.

[0024] The preset wake-up cycle can be set according to the vehicle model, battery characteristics, or ambient temperature, such as waking up every 4 hours, every 12 hours, or every 24 hours.

[0025] S200 constructs a thermal management algorithm based on the temperature data falling within a preset temperature range, thereby forming a corresponding thermal management strategy; Specifically, the collected power battery temperature is compared with the preset temperature range. If the temperature or temperature difference is abnormal, the power battery is heated or cooled according to the preset active thermal management algorithm.

[0026] S300 performs thermal management actions on the power battery according to the thermal management strategy until the power battery temperature returns to the preset temperature range; Specifically, according to the thermal management strategy, corresponding thermal management actions are performed on the power battery. For example, when the temperature is higher than the preset temperature range, the power battery is cooled; when the temperature is lower than the preset temperature range, the power battery is heated; and when the temperature difference is higher than the temperature difference threshold, the power battery is temperature equalized.

[0027] In this way, thermal management of the power battery can still be achieved even when the vehicle is powered off, avoiding problems such as battery overheating, low-temperature failure, and excessive temperature difference of battery cells caused by the lack of temperature control after the vehicle is fully charged and when it is parked for a long time.

[0028] In one embodiment, the preset temperature range includes a first temperature range, a second temperature range, and a third temperature range.

[0029] Specifically, the first threshold T0 is the minimum optimal operating temperature of the power battery, and the second threshold T1 is the maximum optimal operating temperature of the power battery. When temperature detection is triggered after charging is completed and after long-term parking and power-off, the detected temperature data is compared with the preset temperature range to determine which range it falls into. The first temperature range is when the power battery temperature is less than the first threshold T0, the second temperature range is when the power battery temperature is greater than the first threshold T0 and less than the second threshold T1, and the third temperature range is when the power battery temperature is greater than the second threshold T1.

[0030] In one embodiment, when temperature detection is triggered, the temperature difference data of the power battery cells is also acquired, and the temperature difference data is compared with a predetermined temperature difference threshold. When the cell temperature difference data exceeds the predetermined temperature difference threshold, thermal management actions are performed on the power battery according to the thermal management strategy.

[0031] Specifically, the temperature difference data refers to the temperature difference between individual cells or modules within the power battery pack. By collecting temperature information from different cells or modules and calculating the difference, the cell temperature difference data is obtained to reflect the internal temperature uniformity of the power battery. Thermal management strategies include at least one of heating, cooling, or temperature equalization.

[0032] It should be noted that if the temperature data is within the second range and the temperature difference data is within the temperature difference threshold, the thermal management strategy is to not perform any thermal management actions, that is, to maintain the current state and not to heat, cool or control the temperature equalization of the battery.

[0033] In one embodiment, when the vehicle is powered off after charging is complete, the thermal management algorithm includes: Predict the vehicle's next move and combine it with current temperature data to generate operating condition information; By combining operating condition information and environmental parameters, an active thermal management model is formed, the influence law on the temperature of the power battery is extracted, and a thermal management algorithm is constructed. Specifically, based on vehicle usage history, charging completion time, vehicle idle time, and user habits, the system predicts whether the vehicle will start driving or continue to be parked for an extended period. The prediction results are combined with the current battery temperature and cell temperature difference data to create corresponding driving preparation or idle maintenance conditions. The obtained operating condition information, along with environmental parameters such as ambient temperature, humidity, and altitude, are used as input parameters to establish an active thermal management model. This model analyzes the temperature change trends of the battery under different operating conditions and environmental conditions, extracting the correlation between operating conditions, environmental parameters, and battery temperature changes. Based on this correlation, corresponding control logic and decision conditions are established to form an active thermal management algorithm adapted to the power-off state after charging is completed.

[0034] To illustrate with a specific example: A vehicle completes charging and enters a powered-off state during the morning hours on a weekday. Based on historical driving habits, it is predicted that the vehicle will soon be started and driven, thus identifying a driving preparation condition. The current ambient temperature is 38℃, and the battery temperature is 42℃. This condition information, along with high-temperature environmental parameters, is input into an active thermal management model. The model extracts the impact of direct driving in high-temperature environments on the rapid rise in battery temperature, affecting power performance and lifespan. Based on this, the constructed thermal management algorithm, upon recognizing this condition, proactively performs cooling and temperature equalization control on the power battery, adjusting the battery temperature to a suitable driving range so that the battery is in optimal operating condition when the vehicle starts.

[0035] In one embodiment, performing thermal management actions on the power battery according to the thermal management strategy further includes: The actual operating parameters of the thermal management system are collected in real time, and the actual thermal management efficiency of the current thermal management strategy is calculated based on the actual operating parameters. The actual thermal management efficiency is compared with the preset target thermal management efficiency to determine whether the actual thermal management efficiency has reached the preset target. If the actual thermal management efficiency is lower than the preset target thermal management efficiency, the control parameters in the constructed active thermal management algorithm are corrected and optimized. The optimized control parameters are fed back to the active thermal management model on which the active thermal management algorithm is based, and the influence law between the operating conditions, environmental parameters and the temperature change of the power battery in the model is updated to complete the optimization of the active thermal management algorithm. Specifically, the actual operating parameters include the heating power, cooling power, temperature control response time, battery temperature change rate, and cell temperature difference convergence rate of the thermal management system. Actual thermal management efficiency characterizes the ability to adjust the battery temperature and cell temperature difference to a preset safe range per unit time. The calculated actual thermal management efficiency is compared with the preset target thermal management efficiency in real time. When the actual thermal management efficiency is lower than the preset target, the control parameters in the active thermal management algorithm, such as heating / cooling output power, temperature control start / stop threshold, and temperature equalization adjustment rate, are corrected according to the magnitude of the efficiency deviation. The corrected control parameters, along with the corresponding operating conditions and environmental parameters, are synchronized to the active thermal management model. This updates the mapping relationship and influence law between the model's internal operating conditions, environmental parameters, and battery temperature changes, enabling the active thermal management algorithm to output a more efficient thermal management strategy that better meets actual control needs under subsequent identical or similar operating conditions, forming a closed-loop mechanism of control-feedback-optimization.

[0036] To illustrate with a specific example: After a vehicle finishes charging on a weekday morning and enters a power-off state, it is predicted that the vehicle will soon be driven, classifying this as a driving preparation condition. The ambient temperature is 38℃, and the initial battery temperature is 42℃. The active thermal management algorithm outputs a cooling and temperature equalization strategy. During the execution of cooling control, real-time data is collected on actual operating parameters such as cooling power and battery temperature change rate. Calculations show that the actual thermal management efficiency is lower than the preset target efficiency; that is, the expected battery temperature to drop to 35℃ in 10 minutes is only reduced to 38℃. At this point, the control parameters in the active thermal management algorithm, such as cooling power and cooling duration, are corrected and optimized. The optimized parameters, along with the current operating condition and environmental data, are fed back to the active thermal management model to update the impact of battery temperature changes under high-temperature driving preparation conditions. In subsequent similar operating conditions, the optimized algorithm can adjust the battery temperature to a suitable driving range more quickly, improving thermal management control efficiency and accuracy.

[0037] In one embodiment, after optimizing the active thermal management algorithm, the method further includes: Based on the optimized active thermal management algorithm, the power battery thermal management control actions continue to be executed, and the actual working parameters of the thermal management system are continuously collected to calculate the actual thermal management efficiency of each thermal management control in real time. If the actual thermal management efficiency falls below the preset target thermal management efficiency again, or if the thermal management efficiency decreases due to battery aging, sudden changes in environmental parameters, or switching of operating conditions, the control parameters in the active thermal management algorithm will be repeatedly corrected and optimized. Each optimized control parameter is fed back to the active thermal management model to continuously update the influence relationship between operating conditions, environmental parameters and power battery temperature changes in the model, thereby achieving continuous iterative optimization of the active thermal management algorithm. Specifically, in addition to basic parameters such as heating / cooling power and temperature change rate, the continuously collected actual operating parameters also include data on the aging degree of the power battery and environmental parameter fluctuations. Combined with the algorithm's performance after each optimization, the correction range of the control parameters is dynamically adjusted. After each optimization, the mapping relationship of the active thermal management model is updated synchronously, enabling the algorithm to adapt to different scenario changes, including temperature response changes caused by power battery aging, dynamic fluctuations in ambient temperature, and adjustments in user driving habits. This ensures that regardless of changes in operating conditions and environment, the thermal management algorithm can always output efficient and accurate thermal management strategies, maintaining the reliability and efficiency of power battery thermal management in the long term.

[0038] To illustrate with a specific example: After optimizing the active thermal management algorithm, the vehicle completes charging again during the same time period (driving preparation condition), the ambient temperature changes to 40℃ (sudden change in environmental parameters), and the initial battery temperature is 43℃. Cooling control is executed according to the optimized algorithm, continuously collecting data on cooling power, battery temperature change rate, and ambient temperature fluctuations. The calculation shows that the actual thermal management efficiency is again lower than the preset target (expected to drop to 35℃ in 8 minutes, but actually only dropped to 37℃ in 10 minutes). At this point, the control parameter correction process is repeated, appropriately increasing the cooling power and adjusting the cooling threshold. The optimized parameters and the data from this high-temperature fluctuation condition are fed back to the active thermal management model to update the temperature impact law of the driving preparation condition under high-temperature environmental fluctuations. After multiple iterations of optimization, the algorithm can adapt to different high-temperature environments and the temperature response after battery aging. Even if the ambient temperature fluctuates between 38℃ and 42℃, it can stably and quickly adjust the battery temperature to a suitable range, achieving continuous improvement of the thermal management algorithm.

[0039] In one embodiment, when temperature detection is triggered, if an abnormal local temperature of the power battery is detected, forced cooling is performed and a fault alert is output.

[0040] Specifically, localized temperature anomaly refers to a condition where the temperature of a single cell or module within the power battery pack significantly exceeds the conventional preset temperature range, creating a sharp temperature difference with surrounding cells / modules and exhibiting an abnormal rate of temperature rise. This exceeds the scope of conventional thermal management and poses a safety risk. The criteria for determination include: the local temperature exceeding the upper limit of the conventional preset temperature range; the rate of temperature rise within a unit of time exceeding a preset rate threshold; and the temperature difference between the local cell / module and other areas significantly exceeding the conventional temperature difference threshold. Meeting any one of these conditions constitutes a localized temperature anomaly. The forced cooling process implemented in this situation differs from conventional cooling control, aiming to rapidly suppress localized temperature rise while simultaneously issuing fault alerts to ensure safe vehicle transport and fault handling.

[0041] To illustrate with a specific example: After the vehicle is fully charged and powered off, a routine temperature check is performed. The overall average temperature of the power battery is 36℃, which is within the normal preset temperature range (25℃~45℃). However, it is detected that the temperature of a single cell in the battery pack rapidly rises to 68℃ in a short period of time, and the temperature difference between this cell and the surrounding modules reaches 27℃. The rate of temperature rise is significantly higher than the preset safe rate, which is determined to be a local temperature anomaly. The system immediately executes forced cooling control to rapidly cool down the abnormal area, and at the same time outputs a fault alert to indicate the local temperature anomaly of the battery, avoiding the risk of thermal runaway and buying time for the vehicle's subsequent safe inspection and transportation.

[0042] like Figure 2 As shown, in this embodiment, the active thermal management system of the power battery is a liquid-cooled hardware topology architecture. The core includes a battery management system (BMS), an active thermal management trigger unit (AWT), multiple power battery boxes (BOX1~BOXn), a battery thermal management system (liquid cooling circuit), and a vehicle high-voltage system. Each component achieves dual-layer collaborative control with the fluid circulation circuit through a signal control bus, forming a complete intelligent thermal management hardware carrier.

[0043] The BMS, as the core of the system control, establishes bidirectional signal interaction with BOX1-BOXn, AWT, and the vehicle's high-voltage system via the CAN bus. It collects real-time temperature, voltage, current, and SOC data at multiple points within each battery box, and simultaneously acquires the flow and temperature parameters of the coolant in the battery thermal management system. The AWT, as an extreme scenario triggering unit, works in conjunction with the BMS to identify safety risks such as localized temperature anomalies in the power battery. BOX1-BOXn are the power battery energy storage and temperature acquisition units, each equipped with liquid-cooled pipes and temperature sensors. They are the core temperature control objects for thermal management. The liquid-cooled pipes of each battery box adopt a parallel design to ensure uniform coolant distribution. The battery thermal management system is the liquid-cooled loop execution unit, integrating components such as a liquid-cooled circulation pump, a PTC heater, and a heat dissipation unit. It forms a closed liquid-cooled circulation loop through the inlet and outlet. The coolant, after being regulated by the PTC heater / heat dissipation unit, is delivered to the liquid-cooled pipes of each battery box through the inlet. After heat exchange, the coolant returns through the outlet. The vehicle's high-voltage system is the electrical connection carrier between the power battery and the vehicle, achieving energy transmission and electrical isolation through the high-voltage loop.

[0044] The BMS works in conjunction with the battery thermal management system and AWT for control. Based on the collected battery status, fluid parameters, and vehicle operating conditions (such as the power-off state after charging and the driving preparation state), it issues commands for heating, cooling, and flow regulation. Through the circulation and regulation of coolant at the inlet and outlet, it achieves precise temperature control of BOX1 to BOXn. At the same time, it can activate temperature balancing or forced cooling functions in case of temperature difference between battery boxes exceeding the threshold or local temperature anomalies, ensuring that each power battery box is always within the optimal operating temperature range, adapting to the intelligent thermal management control requirements of the power-off state after charging, the driving preparation state, and extreme scenarios.

[0045] Active thermal management control of power batteries is mainly divided into three application scenarios: charging mode, long-term parking mode, and extreme scenarios. The specific control logic is as follows: During charging, the battery thermal management system determines whether to activate based on battery temperature changes. After charging, the battery management system again assesses the battery temperature and uses an active thermal management algorithm to determine whether active thermal management (AWT) is required. When the battery temperature is in a low-temperature range, it is not considered because it is still charging. When the battery temperature is in a suitable operating range, active thermal management is not required after charging, and AWT is deactivated. When the battery temperature is in a high-temperature range, AWT is activated based on the active thermal management algorithm. AWT wakes up the vehicle's high-voltage system and battery thermal management system via the BMS, activating active thermal management. If the battery temperature continues to decrease after activation and cooling, battery temperature control is ultimately achieved. If the battery temperature drops below T2, the cooling mode is exited. If the battery temperature does not change significantly or shows an upward trend after the thermal management cooling is activated, the active thermal management control increases the cooling power until the battery temperature drops below T2, at which point the cooling mode is exited. When the battery temperature is inconsistent, i.e., the temperature difference between the batteries is too large after charging, the active thermal management algorithm activates AWT. AWT wakes up the vehicle's high-voltage system and battery thermal management system through the BMS, and active thermal management is activated. When the battery temperature is in thermal management temperature balancing mode, the battery temperature difference gradually decreases and continues to decrease, eventually controlling the battery temperature difference below TX, at which point the balancing mode is exited.

[0046] In long-term parking mode, when the power battery is left unattended for an extended period, the battery management system (BMS) remains silent and cannot properly detect and manage the battery temperature. Based on the active thermal management algorithm, Active Thermal Management (AWT) is periodically activated. When the power battery temperature is in the low-temperature range, AWT activates, waking up the vehicle's high-voltage system and battery thermal management system via the BMS, initiating active thermal management. If the power battery temperature rises and continues to rise after thermal management is activated, eventually reaching a temperature close to T1, the heating mode is exited. When the power battery temperature is in the suitable temperature range, AWT activates, and the power battery remains within its suitable operating temperature range, so active thermal management is not performed, and AWT exits. When the power battery temperature is in the high-temperature range, AWT activates, waking up the vehicle's high-voltage system and battery thermal management system via the BMS, initiating active thermal management. If the power battery temperature falls and continues to rise after thermal management is activated, the heating mode is exited. If the battery temperature continues to decrease until it is below T2, the cooling mode is exited. If the battery temperature does not change significantly or shows an upward trend after the thermal management cooling is activated, the active thermal management control increases the cooling power until the battery temperature drops below T2, at which point the cooling mode is exited. When the battery temperature is inconsistent, i.e. the temperature difference is too large, the active thermal management algorithm activates AWT. AWT wakes up the vehicle's high-voltage system and battery thermal management system through the BMS, and active thermal management is activated. When the battery temperature is in thermal management temperature balancing mode, the battery temperature difference gradually decreases and continues until it is below TX, at which point the balancing mode is exited.

[0047] In extreme scenarios, AWT is activated to detect localized temperature anomalies in the battery system. Based on the active thermal management algorithm, forced cooling is initiated, and a fault alert is issued, buying time for the safe transfer and handling of the vehicle.

[0048] In a specific example, such as Figure 3 As shown, after prolonged operation, the battery's degradation accelerates, its internal resistance increases, and its temperature gradually rises during charging. Throughout the charging process, the battery temperature generally shows an upward trend, and by the end of charging, the battery temperature cannot be controlled within a suitable range. At this point, AWT (Active Thermal Management) activates to maintain the battery temperature within a suitable range, thereby slowing down battery aging and extending battery life.

[0049] In a specific example, such as Figure 4As shown, an idle vehicle, parked in an open-air parking lot for over a week without use, has an unknown battery temperature and is in a disconnected state. Prolonged parking exposes the battery to high temperatures, posing risks to its lifespan and safety. Vehicles equipped with an Active Thermal Management (AWT) system periodically wake the vehicle to monitor battery temperature. If the battery temperature exceeds a pre-set safety threshold, the AWT immediately activates, rapidly cooling the battery to bring it back to normal operating temperature. By employing AWT, idle vehicle batteries can proactively activate thermal management, reducing battery degradation and safety hazards caused by prolonged high-temperature storage.

[0050] A second embodiment of the present invention provides an active thermal management control device for a power battery, comprising: The active wake-up module is used to trigger temperature detection when the vehicle is powered off after charging is complete, and to trigger temperature detection according to a preset cycle when the vehicle is powered off for a long period of time, in order to obtain the temperature data of the power battery. The strategy generation module is used to construct a thermal management algorithm and form a corresponding thermal management strategy based on the temperature data falling within a preset temperature range. The execution module is used to perform thermal management actions on the power battery according to the thermal management strategy until the power battery temperature returns to the preset temperature range.

[0051] The third embodiment of this application provides a computer device, which includes a memory and at least one processor. The memory stores a computer program, and the processor executes the computer program to implement the steps in the above-described method embodiments.

[0052] The fourth embodiment of the present invention provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps in the above-described method embodiments.

[0053] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium, and when executed, it can include the processes of the embodiments of the above methods. Any references to memory, databases, or other media used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM). The databases involved in the embodiments provided in this application may include at least one of relational and non-relational databases. Non-relational databases may include, but are not limited to, blockchain-based distributed databases. The processors involved in the embodiments provided in this application may be general-purpose processors, central processing units, graphics processing units, digital signal processors, programmable logic devices, quantum computing-based data processing logic devices, etc., and are not limited to these. The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described; however, as long as the combination of these technical features does not contradict each other, it should be considered within the scope of this specification.

[0054] Compared with existing technologies, the active thermal management control method for power batteries provided by this invention introduces active thermal management control logic after charging and during long-term parking, enabling proactive prediction and intervention of power battery temperature. This avoids the limitations of traditional solutions that only perform thermal management during driving or charging. By constructing an active thermal management algorithm based on operating condition prediction and environmental parameters, and iteratively optimizing thermal management efficiency, precise control and continuous self-adaptation of power battery temperature are achieved, significantly improving temperature control response speed and system energy efficiency. By designing independent forced cooling and fault warning mechanisms for extreme scenarios, the emergency response capability of the power battery under safety risks such as local temperature anomalies is effectively improved, gaining critical time for safe vehicle transport and fault handling. At the same time, through continuous iterative optimization of thermal management strategies under different operating conditions, environments, and aging states, this solution can better adapt to complex usage scenarios throughout the vehicle's entire life cycle, improving the reliability of the entire vehicle and user experience while ensuring the safety and lifespan of the power battery.

[0055] The specific embodiments of the present invention described above do not constitute a limitation on the scope of protection of the present invention. Any other corresponding changes and modifications made in accordance with the technical concept of the present invention should be included within the scope of protection of the claims of the present invention.

Claims

1. A method for active thermal management control of a power battery, characterized in that, include: Temperature detection is triggered when the vehicle is powered off after charging is complete, and temperature detection is triggered at a preset cycle when the vehicle is powered off and parked for a long time, in order to obtain the temperature data of the power battery. Based on the temperature data falling within a preset temperature range, a thermal management algorithm is constructed to form a corresponding thermal management strategy; The thermal management strategy is followed to perform thermal management actions on the power battery until the power battery temperature returns to the preset temperature range.

2. The active thermal management control method for a power battery as described in claim 1, characterized in that: The preset temperature range includes a first temperature range, a second temperature range, and a third temperature range.

3. The active thermal management control method for a power battery as described in claim 1, characterized in that: When the temperature is triggered, the temperature difference data of the power battery cells is also acquired and compared with the predetermined temperature difference threshold. When the temperature difference data of the cells exceeds the predetermined temperature difference threshold, thermal management actions are performed on the power battery according to the thermal management strategy.

4. The active thermal management control method for a power battery as described in claim 1, characterized in that, When the vehicle is powered off after charging is complete, the thermal management algorithm includes: Predict the vehicle's next move and combine it with current temperature data to generate operating condition information; By combining operating condition information and environmental parameters, an active thermal management model is formed, the influence law on the temperature of the power battery is extracted, and a thermal management algorithm is constructed.

5. The active thermal management control method for a power battery as described in claim 4, characterized in that, Performing thermal management actions on power batteries according to the thermal management strategy also includes: The actual operating parameters of the thermal management system are collected in real time, and the actual thermal management efficiency of the current thermal management strategy is calculated based on the actual operating parameters. The actual thermal management efficiency is compared with the preset target thermal management efficiency to determine whether the actual thermal management efficiency has reached the preset target. If the actual thermal management efficiency is lower than the preset target thermal management efficiency, the control parameters in the constructed active thermal management algorithm are corrected and optimized. The optimized control parameters are fed back to the active thermal management model on which the active thermal management algorithm is based, updating the influence relationship between operating conditions, environmental parameters and power battery temperature changes in the model, thus completing the optimization of the active thermal management algorithm.

6. The active thermal management control method for a power battery as described in claim 5, characterized in that, After optimizing the active thermal management algorithm, the following steps are also included: Based on the optimized active thermal management algorithm, the power battery thermal management control actions continue to be executed, and the actual working parameters of the thermal management system are continuously collected to calculate the actual thermal management efficiency of each thermal management control in real time. If the actual thermal management efficiency falls below the preset target thermal management efficiency again, or if the thermal management efficiency decreases due to battery aging, sudden changes in environmental parameters, or switching of operating conditions, the control parameters in the active thermal management algorithm will be repeatedly corrected and optimized. Each optimized control parameter is fed back to the active thermal management model, continuously updating the influence relationship between operating conditions, environmental parameters and power battery temperature changes in the model, thus achieving continuous iterative optimization of the active thermal management algorithm.

7. The active thermal management control method for a power battery as described in claim 1, characterized in that: When the temperature detection is triggered, if an abnormal local temperature of the power battery is detected, forced cooling is performed and a fault alert is output.

8. A power battery active thermal management control device, characterized in that, include: The active wake-up module is used to trigger temperature detection when the vehicle is powered off after charging is complete, and to trigger temperature detection according to a preset cycle when the vehicle is powered off for a long period of time, in order to obtain the temperature data of the power battery. The strategy generation module is used to construct a thermal management algorithm and form a corresponding thermal management strategy based on the temperature data falling within a preset temperature range. The execution module is used to perform thermal management actions on the power battery according to the thermal management strategy until the power battery temperature returns to the preset temperature range.

9. A computer device, characterized in that, include: A memory and at least one processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the steps of the method according to any one of claims 1 to 7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the method of any one of claims 1 to 7.

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