Power battery control method and vehicle

Abstract

The application provides a power battery control method and a vehicle, and relates to the technical field of battery thermal management. The method comprises the following steps: acquiring driving data and traffic environment data of the vehicle, a first temperature of a first region, and a second temperature of a second region; acquiring discharge power sequence data of the power battery in a preset time period based on the driving data and the traffic environment data; acquiring first temperature change time sequence data and second temperature change time sequence data based on the first temperature, the second temperature and the discharge power sequence data; acquiring a first battery life value based on the first temperature change time sequence data, and acquiring a second battery life value based on the second temperature change time sequence data; and determining a battery thermal management strategy according to the first battery life value and the second battery life value, so as to perform thermal management control on the power battery. The application solves the technical problem that the service life of the power battery is short due to the single thermal management strategy of the power battery in the related art.

Description

Technical Field

[0001] This invention relates to the field of battery thermal management technology, and more specifically, to a power battery control method and a vehicle. Background Technology

[0002] In the field of new energy vehicles, the thermal management system of power batteries is crucial for ensuring battery safety and extending battery life. Existing thermal management strategies typically employ a unified control logic for centralized management of power batteries. However, using a single thermal management strategy can easily lead to accelerated aging in localized areas of the power battery due to prolonged high temperatures or drastic temperature changes, triggering a "weakest link" effect and resulting in a shorter overall battery lifespan.

[0003] There is currently no good solution to the above problems. Summary of the Invention

[0004] This invention provides a power battery control method and a vehicle to at least solve the technical problem in the related art of short power battery life caused by the single thermal management strategy of the power battery.

[0005] According to one aspect of the present invention, a power battery control method is provided, which is applied to a power battery of a vehicle. The power battery includes a first region and a second region. The power battery control method includes: acquiring vehicle driving data and vehicle traffic environment data, a first temperature corresponding to the first region, and a second temperature corresponding to the second region; acquiring discharge power sequence data of the power battery over a preset time period based on the driving data and traffic environment data; acquiring first temperature change time-series data of the first region and second temperature change time-series data of the second region based on the first temperature, the second temperature, and the discharge power sequence data; acquiring a first battery life value of the first region based on the first temperature change time-series data and a second battery life value of the second region based on the second temperature change time-series data; determining a battery thermal management strategy based on the first battery life value and the second battery life value; and performing thermal management control on the power battery according to the battery thermal management strategy.

[0006] Further, the battery thermal management strategy is determined based on the first battery life value and the second battery life value, including: in response to the first battery life value being less than the second battery life value, determining whether the first temperature is greater than a preset temperature threshold; in response to the first temperature being greater than the preset temperature threshold, determining a first heat dissipation enhancement amount for the first region based on the first temperature and the preset temperature threshold.

[0007] Furthermore, the power battery control method also includes: in response to a first temperature being less than a preset temperature threshold, determining whether a first power in a first region is greater than a first power threshold; in response to a first power being greater than the first power threshold, determining a second heat dissipation enhancement amount in the first region based on the first power and the first power threshold; and determining a battery thermal management strategy based on the first heat dissipation enhancement amount and the second heat dissipation enhancement amount.

[0008] Furthermore, the power battery control method also includes: in response to a first power being less than a first power threshold, performing thermal management control on the power battery based on the current battery thermal management strategy.

[0009] Furthermore, a battery thermal management strategy is determined based on a first battery life value and a second battery life value, including: in response to the first battery life value being greater than the second battery life value, determining whether a second temperature is greater than a preset temperature threshold; and in response to the second temperature being greater than the preset temperature threshold, determining a third heat dissipation enhancement amount for the second region based on the second temperature and the preset temperature threshold.

[0010] Furthermore, the power battery control method also includes: in response to a second temperature being less than a preset temperature threshold, determining whether a second power in the second region is greater than a second power threshold; in response to a second power being greater than the second power threshold, determining a fourth heat dissipation enhancement amount in the second region based on the second power and the second power threshold; and determining a battery thermal management strategy based on the third heat dissipation enhancement amount and the fourth heat dissipation enhancement amount.

[0011] Furthermore, the power battery control method also includes: in response to the second power being less than the second power threshold, performing thermal management control on the power battery based on the current battery thermal management strategy.

[0012] Furthermore, thermal management control of the power battery is performed according to the battery thermal management strategy, including: determining the heat dissipation control signal according to the battery thermal management strategy; and performing thermal management control of the power battery based on the preset control cycle and the heat dissipation control signal.

[0013] According to another aspect of the present invention, a power battery control device is also provided, applied to a power battery of a vehicle. The power battery includes: a first region and a second region. The power battery control device includes: a first acquisition module, used to acquire vehicle driving data and vehicle traffic environment data, a first temperature corresponding to the first region, and a second temperature corresponding to the second region; a second acquisition module, used to acquire discharge power sequence data of the power battery over a preset time period based on the driving data and traffic environment data; a third acquisition module, used to acquire first temperature change time-series data of the first region and second temperature change time-series data of the second region based on the first temperature, the second temperature, and the discharge power sequence data; a first determination module, used to determine a first battery life value of the first region based on the first temperature change time-series data, and a second battery life value of the second region based on the second temperature change time-series data; a second determination module, used to determine a battery thermal management strategy based on the first battery life value and the second battery life value; and a control module, used to perform thermal management control on the power battery according to the battery thermal management strategy.

[0014] Furthermore, the second determining module is also configured to determine whether the first temperature is greater than a preset temperature threshold in response to the first battery life value being less than the second battery life value; and to determine the first heat dissipation enhancement amount of the first region based on the first temperature and the preset temperature threshold in response to the first temperature being greater than the preset temperature threshold.

[0015] Furthermore, the second determining module is also configured to determine whether the first power of the first region is greater than the first power threshold in response to the first temperature being less than the preset temperature threshold; in response to the first power being greater than the first power threshold, determine the second heat dissipation enhancement amount of the first region based on the first power and the first power threshold; and determine the battery thermal management strategy based on the first heat dissipation enhancement amount and the second heat dissipation enhancement amount.

[0016] Furthermore, the control module is also used to perform thermal management control on the power battery based on the current battery thermal management strategy in response to the first power being less than the first power threshold.

[0017] Furthermore, the second determining module is also configured to determine whether the second temperature is greater than a preset temperature threshold in response to the first battery life value being greater than the second battery life value; and to determine the third heat dissipation enhancement amount of the second region based on the second temperature and the preset temperature threshold in response to the second temperature being greater than the preset temperature threshold.

[0018] Furthermore, the second determining module is also configured to determine whether the second power of the second region is greater than the second power threshold in response to the second temperature being less than the preset temperature threshold; in response to the second power being greater than the second power threshold, determine the fourth heat dissipation enhancement amount of the second region based on the second power and the second power threshold; and determine the battery thermal management strategy based on the third heat dissipation enhancement amount and the fourth heat dissipation enhancement amount.

[0019] Furthermore, the control module is also used to perform thermal management control on the power battery based on the current battery thermal management strategy in response to the second power being less than the second power threshold.

[0020] Furthermore, the control module is also used to determine the heat dissipation control signal according to the battery thermal management strategy; and to perform thermal management control of the power battery based on the preset control cycle and the heat dissipation control signal.

[0021] According to another aspect of the present invention, a vehicle is also provided, comprising: a memory storing an executable program; and a processor for running the executable program, wherein the executable program performs the method of the present invention when it is run.

[0022] According to another aspect of the present invention, a computer-readable storage medium is also provided, the computer-readable storage medium including a stored executable program, wherein, when the executable program is executed, the device on which the computer-readable storage medium is located controls the execution of the method of the present invention.

[0023] According to another aspect of the present invention, a computer program product is also provided, comprising a non-volatile computer-readable storage medium storing a computer program that, when executed by a processor, implements the method of the present invention.

[0024] According to another aspect of the present invention, a computer program is also provided, which, when executed by a processor, implements the method of the present invention.

[0025] In this invention, firstly, vehicle driving data and traffic environment data, a first temperature corresponding to a first region of the power battery, and a second temperature corresponding to a second region of the power battery are acquired. Then, based on the driving data and traffic environment data, discharge power sequence data of the power battery over a preset time period is acquired. Next, based on the first temperature, second temperature, and discharge power sequence data, first temperature change time-series data of the first region and second temperature change time-series data of the second region are acquired. Then, based on the first temperature change time-series data, a first battery life value of the first region is determined, and based on the second temperature change time-series data, a second battery life value of the second region is determined. Finally, a battery thermal management strategy is determined based on the first and second battery life values, thereby performing thermal management control on the power battery according to the battery thermal management strategy. This achieves the goal of maintaining consistent lifespan decay across different load regions of the power battery, thus extending the overall lifespan of the power battery and reducing thermal management energy consumption. This solves the technical problem in related technologies where the power battery has a short lifespan due to a single thermal management strategy. Attached Figure Description

[0026] The accompanying drawings, which are included to provide a further understanding of the invention and form part of this invention, illustrate exemplary embodiments of the invention and are used to explain the invention, but do not constitute an undue limitation of the invention. In the drawings:

[0027] Figure 1 This is a flowchart of a power battery control method according to an embodiment of the present invention;

[0028] Figure 2 This is a schematic diagram of an optional power battery control system according to an embodiment of the present invention;

[0029] Figure 3 This is a schematic diagram of the heat dissipation section of an optional intelligent control algorithm according to an embodiment of the present invention;

[0030] Figure 4 This is a schematic diagram of an optional thermal management structure according to an embodiment of the present invention;

[0031] Figure 5 This is a schematic diagram of a power battery control device according to an embodiment of the present invention. Detailed Implementation

[0032] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.

[0033] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of the invention described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover a non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0034] According to an embodiment of the present invention, an embodiment of a power battery control method is provided. It should be noted that the steps shown in the flowchart in the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions. Furthermore, although a logical order is shown in the flowchart, in some cases, the steps shown or described may be executed in a different order than that shown here.

[0035] This embodiment provides a power battery control method. Figure 1 This is a flowchart of a power battery control method according to an embodiment of the present invention. The power battery control method is applied to a vehicle's power battery, which includes a first region and a second region, such as... Figure 1 As shown, the process is illustrated in steps S11 to S16.

[0036] Step S11: Obtain vehicle driving data and vehicle traffic environment data, first temperature corresponding to the first area and second temperature corresponding to the second area;

[0037] In this embodiment of the invention, driving data refers to real-time parameters reflecting the dynamic operating state of the vehicle, mainly including vehicle speed, acceleration, motor output power / current, battery state of charge (SOC), and driver pedal opening, etc., which are not limited here. For example, driving data determines the current charge / discharge rate and instantaneous heat generation power of the power battery, and is the basic input for predicting future heat load, used to quantify the energy conversion requirements of the power battery pack under high load conditions.

[0038] Traffic environment data refers to the external environment and road conditions of the vehicle, including navigation routes, expected congested sections, real-time speed planning, ambient temperature, and wind speed, etc., which are not limited here. For example, by combining vehicle-to-everything (V2X) or navigation information, it is possible to predict driving conditions in the future (such as frequent start-stop or high-speed cruising), thereby forecasting the future power demand trend of the power battery.

[0039] The first region refers to a specific physical or logical partition within the power battery pack, divided according to load characteristics. It typically corresponds to high-power-density cells or modules that bear the main dynamic power fluctuations, and is not limited here. For example, the first region is used frequently and has a large charge-discharge rate during driving, resulting in a fast heat generation rate and high average temperature. It is a key area that needs to be monitored and cooled specifically in thermal management to prevent premature aging due to overheating.

[0040] The first temperature refers to the measured temperature value of the first region at the current moment, which is usually collected by a temperature sensor placed near the first region. The first temperature reflects the current thermal state of the high-load region and serves as the core initial variable for lifetime prediction models and temperature change time series calculations. It is used to assess the current aging rate of the first region and its deviation from the preset threshold, and is the direct basis for triggering differentiated cooling strategies.

[0041] The second region refers to another specific area within the power battery pack besides the first region. It typically corresponds to low-power-density cells or modules that only bear the basic load and have minimal involvement in extreme operating conditions; there are no restrictions here. For example, the second region generates relatively less heat, has a gentler temperature change, and is more tolerant of high temperatures, allowing it to operate in a relatively high temperature range. Differentiated control can prevent overcooling, thereby reducing the overall energy consumption of the system.

[0042] The second temperature refers to the measured temperature value of the second region at the current moment, which is collected in real time by the temperature sensor in the second region. The second temperature is used to characterize the health status and heat distribution of the low-load region. Together with the first temperature, it constructs a temperature difference distribution map inside the power battery pack, providing key status feedback data for judging the difference in lifespan degradation between the two regions and formulating a control strategy to balance lifespan.

[0043] Acquiring vehicle driving data, traffic environment data, the first temperature corresponding to the first area, and the second temperature corresponding to the second area can be understood as follows: firstly, driving data is acquired to quantify real-time load, and traffic environment data is combined to predict future operating conditions. Simultaneously, sensors monitor in real-time the first temperature of the high-load first area within the power battery pack, and the second temperature of the basic-load second area.

[0044] It can be seen that by synchronously acquiring multidimensional data, the necessary basic state information and operating condition basis are provided for subsequent accurate prediction of temperature change time series in various regions and differentiated control strategies based on life balance.

[0045] Step S12: Based on driving data and traffic environment data, obtain the discharge power sequence data of the power battery within a preset time period;

[0046] In this embodiment of the invention, the preset time period refers to a specific prediction window extending backward from the current moment, typically several minutes into the future (e.g., 15-30 minutes), and is not limited here. The preset time period covers typical driving conditions that the vehicle will experience, and is used to capture the dynamic changing trend of future power demand, ensuring that the thermal management strategy is forward-looking and can respond in advance to upcoming high-load or low-load conditions, avoiding temperature lag.

[0047] Discharge power sequence data refers to the set of power battery discharge power values ​​discretely arranged at fixed time steps within a preset time period. For example, the discharge power sequence data is obtained by analyzing driving speed and traffic conditions, reflecting the changing heat load input of the power battery over time. As a key driving variable in the temperature prediction model, the discharge power sequence data is used to simulate the internal heat generation rate of the power battery under different power conditions, thereby providing accurate dynamic boundary conditions for subsequent calculations of temperature change time series.

[0048] Based on driving data and traffic environment data, obtaining the discharge power sequence data of the power battery within a preset time period can be understood as quantifying the driver's intention and external resistance based on information such as current vehicle speed, acceleration and navigation road conditions, and constructing a discrete power change curve covering a specific future time window (such as the next 30 minutes).

[0049] It can be seen that by constructing discharge power sequence data, not only can the instantaneous heat generation potential of the power battery under different operating conditions be reflected, but also a dynamic input source can be provided for subsequent accurate prediction of temperature evolution trend, realizing the pre-control of thermal management from static monitoring to dynamic prediction.

[0050] Step S13: Based on the first temperature, second temperature and discharge power sequence data, obtain the first temperature change time series data of the first region and the second temperature change time series data of the second region;

[0051] In this embodiment of the invention, the first temperature change time series data refers to the first temperature value sequence of the first region over a preset time period, recursively deduced by a thermal model based on the current first temperature of the high-load area and the future discharge power sequence data of the power battery. For example, the first temperature change time series data reflects the temperature rise trend of the high-heat-generating area under dynamic load, and is used to identify potential high-temperature risk points, providing a time-dimensional predictive basis for early intervention cooling strategies for this area, and preventing local overheating.

[0052] The second temperature change time series data refers to the second temperature change sequence data of the second region within a preset time period, calculated by a thermal model based on the current second temperature in the low-load area and the future discharge power sequence data of the power battery. For example, the second temperature change time series data is mainly used to evaluate the temperature rise of the second region under overall operating conditions, and to determine whether it is necessary to maintain a low temperature or allow a moderate temperature rise, thereby achieving life balance.

[0053] Based on the first temperature, second temperature, and discharge power sequence data, obtaining the first temperature change time series data of the first region and the second temperature change time series data of the second region can be understood as follows: by calculating the first temperature change time series data and the second temperature change time series data of the first region and the second region in a future time period respectively, the heating rate of the high load area and the temperature rise amplitude of the low load area can be accurately predicted.

[0054] As can be seen, the above steps, based on dynamic prediction in the time dimension, provide data support for subsequently formulating differentiated cooling intensities and time windows according to the differences in lifespan in different regions, ensuring that thermal management actions are intervened in advance.

[0055] Step S14: Determine the first battery life value of the first region based on the first temperature change time series data, and determine the second battery life value of the second region based on the second temperature change time series data.

[0056] In this embodiment of the invention, the first battery life value refers to a quantitative index that reflects the remaining life or health status of the battery cells in the first region, calculated using an aging model based on the time-series data of the first temperature change in the high-load region. It is used to characterize the degradation progress of the first region under high-power conditions.

[0057] The second battery life value refers to a quantitative indicator reflecting the remaining life or health status of the cells in the second region, which is obtained by evaluating the time-series data of temperature changes in the second region under low load conditions through an aging model. It is used to characterize the degradation rate of the second region under low power conditions.

[0058] Determining the first battery lifetime of the first region based on the first temperature change time-series data, and determining the second battery lifetime of the second region based on the second temperature change time-series data, can be understood as follows: based on the first temperature change time-series data of the first region over time, combined with aging mechanism models such as Arrhenius, the capacity decay of the first region over a future time period is calculated integrally, thereby determining the remaining lifetime of the first region, i.e., the first battery lifetime. Similarly, the lifetime loss of the second region is calculated using the second temperature change time-series data of the second region, yielding the remaining lifetime of the second region, i.e., the second battery lifetime.

[0059] As can be seen, the above steps have enabled a mapping from temperature prediction to lifespan quantification, providing a basis for subsequent judgment of aging differences in different regions and the formulation of balanced control strategies, ensuring that high-load areas do not age excessively.

[0060] Step S15: Determine the battery thermal management strategy based on the first battery life value and the second battery life value;

[0061] In this embodiment of the invention, the battery thermal management strategy refers to differentiated control commands dynamically generated based on the lifespan differences in different regions. When the lifespan of the first region deteriorates faster, the battery thermal management strategy prioritizes allocating strong cooling resources to the first region to suppress aging; conversely, it adjusts the cooling focus. For example, by balancing the heat load and cooling intensity of different regions, the battery thermal management strategy aims to eliminate the "weakest link" effect, achieve synchronized lifespan degradation of the entire power battery pack, optimize system energy consumption, and avoid excessive cooling waste in low-load areas.

[0062] Determining a battery thermal management strategy based on the first and second battery lifetimes can be understood as identifying "weak" areas with faster lifespan degradation by comparing the first and second battery lifetimes. For example, if the first area has a shorter lifespan, the battery thermal management strategy will allocate cooling resources (such as lowering the target temperature or increasing flow rate) to suppress rapid aging in the first area; conversely, it will allow the second area to operate at a higher temperature to save energy.

[0063] As can be seen, this invention breaks through the limitations of traditional uniform temperature control by making dynamic decisions based on lifespan differences. By accurately matching the heat dissipation needs of each area, it effectively balances the overheating risk in high-load areas and the energy waste in low-load areas, thereby maximizing the working cycle of the power battery pack.

[0064] Step S16: Perform thermal management control on the power battery according to the battery thermal management strategy.

[0065] In this embodiment of the invention, thermal management control of the power battery according to the battery thermal management strategy can be understood as dynamically adjusting the independent cooling circuit parameters of each region based on the determined battery thermal management strategy, such as the inlet flow rate and temperature of the first region and the flow rate setting of the second region, etc., which are not limited here.

[0066] It can be seen that by differentially controlling the supply of cooling medium in different areas, the high-load area is ensured to be adequately cooled to suppress aging, while the low-load area is allowed to have a moderate temperature rise to save energy. This achieves synchronous degradation of the lifespan of different areas, ultimately improving the overall lifespan of the power battery pack and the energy efficiency of the vehicle.

[0067] Through the above steps, firstly, vehicle driving data and traffic environment data, the first temperature corresponding to the first region of the power battery, and the second temperature corresponding to the second region of the power battery are acquired. Then, based on the driving data and traffic environment data, the discharge power sequence data of the power battery within a preset time period is acquired. Next, based on the first temperature, second temperature, and discharge power sequence data, the first temperature change time series data of the first region and the second temperature change time series data of the second region are acquired. Then, based on the first temperature change time series data, the first battery life value of the first region is determined, and based on the second temperature change time series data, the second battery life value of the second region is determined. Finally, based on the first battery life value and the second battery life value, a battery thermal management strategy is determined, thereby performing thermal management control on the power battery according to the battery thermal management strategy. This achieves the goal of maintaining consistent lifespan decay across different load regions of the power battery, thus extending the overall lifespan of the power battery and reducing thermal management energy consumption. This solves the technical problem in related technologies where the power battery has a short lifespan due to a single thermal management strategy.

[0068] Furthermore, the battery thermal management strategy is determined based on the first battery lifespan and the second battery lifespan, including the following steps:

[0069] In response to the first battery life value being less than the second battery life value, determine whether the first temperature is greater than a preset temperature threshold.

[0070] In response to a first temperature exceeding a preset temperature threshold, a first heat dissipation enhancement amount for the first region is determined based on the first temperature and the preset temperature threshold.

[0071] In this embodiment of the invention, the preset temperature threshold refers to the upper limit of the target protection temperature (e.g., 35°C) set for the high-load area. For example, the preset temperature threshold is a key parameter for balancing life protection and energy consumption. A temperature below the preset temperature threshold can suppress side reactions at high rates to delay aging, while a temperature above the preset temperature threshold indicates that the first area faces the risk of overheating and requires additional cooling intervention to ensure that the first area operates in a safe temperature range that is conducive to extending life.

[0072] The first heat dissipation enhancement refers to the additional cooling intensity added on top of the basic cooling to suppress rapid aging of the first region when its temperature exceeds the standard. For example, the first heat dissipation enhancement is usually calculated based on the deviation between the current temperature and a preset temperature threshold and the rate of temperature rise. By increasing the water pump speed or reducing the coolant temperature, it provides excess heat dissipation capacity to offset the heat generated by high power, prevent the first region from failing first due to overheating, and achieve a balanced lifespan.

[0073] Responding to the fact that the lifespan of the first battery is less than that of the second battery, determining whether the first temperature exceeds a preset temperature threshold can be understood as follows: when it is determined that the lifespan of the first battery in the first region is lower than that of the second battery in the second region, it indicates that the first region is aging faster and requires key protection. For example, further monitoring of the current temperature of the first region can determine whether it has exceeded the preset temperature threshold (e.g., 35°C), thereby ensuring that the subsequent enhanced cooling mechanism is only triggered when the weakest region has both a lifespan disadvantage and faces actual overheating risk, avoiding unnecessary energy waste in regions under normal operating conditions and achieving precise resource allocation.

[0074] In response to a first temperature exceeding a preset temperature threshold, determining the first heat dissipation enhancement amount for the first region based on the first temperature and the preset temperature threshold can be understood as follows: when the first temperature of the first region exceeds the preset temperature threshold, the additional heat dissipation capacity required, i.e., the first heat dissipation enhancement amount, is calculated based on the difference between the current measured temperature and the preset temperature threshold, combined with parameters such as the temperature rise rate. For example, the first heat dissipation enhancement amount is used to guide actuators (such as water pumps and valves) to increase the cooling medium flow rate or reduce the inlet temperature to quickly suppress the temperature rise trend in the first region and compensate for the accelerated aging defects caused by high-power operation in the first region.

[0075] As can be seen, through the above steps, enhanced cooling is only triggered when the first region is at a low lifespan and overheating, avoiding unnecessary energy waste. By quantifying the first heat dissipation enhancement, the temperature rise in the high-load area can be quickly suppressed, effectively delaying the aging process of the first region, thereby ensuring that the lifespan of different regions of the power battery decays synchronously, eliminating the weakest link effect, and balancing system energy efficiency and overall battery lifespan.

[0076] Furthermore, the power battery control method also includes the following steps:

[0077] In response to a first temperature being lower than a preset temperature threshold, determine whether the first power in the first region is greater than a first power threshold.

[0078] In response to the first power being greater than the first power threshold, a second heat dissipation enhancement amount for the first region is determined based on the first power and the first power threshold.

[0079] The battery thermal management strategy is determined based on the first and second heat dissipation enhancements.

[0080] In this embodiment of the invention, the first power refers to the current real-time discharge power of the first region. For example, since battery heating is proportional to the square of the current, high power means extremely high instantaneous heat generation. Monitoring the first power aims to identify potential overheating risks, thereby providing a basis for feedforward control.

[0081] The first power threshold refers to a power warning line set for a first region (such as 80% of the rated power). For example, when the first power exceeds the first power threshold, it indicates that the power battery has entered a high-stress condition, and even if the current temperature is normal, the risk of future temperature rise increases significantly. The first power threshold is used to trigger a power-based feedforward cooling mechanism to intervene in heat dissipation in advance, prevent overshoot caused by temperature lag, and ensure the predictability of thermal management.

[0082] The second heat dissipation enhancement refers to the additional cooling increment calculated based on the power exceeding the limit. For example, when the first power exceeds the first power threshold, the system calculates the second heat dissipation enhancement based on the power excess and the heat conversion coefficient. The second heat dissipation enhancement serves as a feedforward control signal to increase the flow rate of the cooling medium or reduce the inlet temperature in advance to offset the large amount of heat that will be generated, prevent the temperature from actually exceeding the limit, and achieve rapid response and precise suppression of high-power operating conditions.

[0083] Responding to a first temperature being lower than a preset temperature threshold, determining whether the first power in the first region is greater than a first power threshold can be understood as further monitoring the load status of the first region when the current temperature of the first region is still within a safe range (i.e., lower than the preset temperature threshold). By determining whether the first power in the first region exceeds the first power threshold, the risk of impending high heat generation can be identified in advance.

[0084] In response to the first power being greater than the first power threshold, determining the second heat dissipation enhancement amount of the first region based on the first power and the first power threshold can be understood as follows: when the first power is greater than the first power threshold, the second heat dissipation enhancement amount is calculated based on the specific value of the first power exceeding the first power threshold, thereby transforming abstract power data into specific fluid dynamic parameters, effectively avoiding temperature overshoot caused by thermal inertia, and ensuring that the battery can still maintain a stable temperature under high power pulses.

[0085] Determining the battery thermal management strategy based on the first and second heat dissipation enhancements can be understood as comparing or superimposing the first and second heat dissipation enhancements, taking the maximum value or a combined value, and generating the final cooling control command to ensure the rationality and efficiency of cooling resource allocation.

[0086] It can be seen that by monitoring power to predict potential thermal risks and combining temperature feedback to correct actual deviations, the temperature peak under high power can be effectively suppressed to prevent battery overheating and aging, while avoiding energy waste caused by excessive cooling. Thus, while ensuring battery safety, the overall service life can be extended and energy efficiency can be improved.

[0087] Furthermore, the power battery control method also includes the following steps:

[0088] In response to the first power being less than the first power threshold, thermal management control of the power battery is performed based on the current battery thermal management strategy.

[0089] In this embodiment of the invention, responding to a first power less than a first power threshold, the thermal management control of the power battery based on the current battery thermal management strategy can be understood as follows: when the first power in the first region is within a safe range and the temperature does not exceed the standard, it indicates that the battery is operating stably and no additional enhanced cooling intervention is required. At this time, maintaining the current basic thermal management strategy (such as standard flow rate or temperature setting) avoids frequent adjustments to the actuators (such as water pumps and valves).

[0090] As can be seen, the above steps not only prevent system instability caused by control command oscillations, but also minimize the power consumption of the thermal management system, ensuring that the battery maintains its optimal operating state with the lowest energy consumption under low load or stable operating conditions.

[0091] Furthermore, the battery thermal management strategy is determined based on the first battery lifespan and the second battery lifespan, including the following steps:

[0092] In response to the first battery life value being greater than the second battery life value, determine whether the second temperature is greater than a preset temperature threshold.

[0093] In response to the second temperature being greater than a preset temperature threshold, a third heat dissipation enhancement amount for the second region is determined based on the second temperature and the preset temperature threshold.

[0094] In this embodiment of the invention, the third heat dissipation enhancement refers to the additional cooling intensity provided by the system to the second region when the second region becomes the current "weak link" due to its short lifespan and the second temperature exceeds a preset temperature threshold. For example, since low-load areas typically have better temperature resistance, the third heat dissipation enhancement is used to provide targeted protection for the second region under specific operating conditions (such as when the lifespan of the first region has been exhausted or is nearing its end), ensuring that the lifespan degradation of different regions remains synchronized, preventing the second region from prematurely failing due to prolonged exposure to relatively high temperatures or specific stresses, and achieving balanced lifespan management of the power battery pack.

[0095] Responding to the fact that the lifespan of the first battery is greater than that of the second battery, determining whether the second temperature is greater than a preset temperature threshold can be understood as follows: when the lifespan of the first battery in the first region is greater than that of the second battery in the second region, the second region is identified as a "weak link" restricting the overall lifespan of the power battery. At this time, by judging whether the second temperature in the second region is greater than the preset temperature threshold, it is determined whether cooling intervention is needed for the second region.

[0096] In response to the second temperature being greater than a preset temperature threshold, determining the third heat dissipation enhancement amount for the second region based on the second temperature and the preset temperature threshold can be understood as follows: when it is confirmed that the second temperature of the second region exceeds the preset temperature threshold, the additional cooling capacity required by the second region is quantified, and the feedback cooling increment is calculated based on the temperature deviation to obtain the third heat dissipation enhancement amount.

[0097] It can be seen that by increasing the cooling flow rate or reducing the coolant temperature in the second region, the temperature rise in the second region can be actively suppressed, thereby slowing down the electrochemical reaction rate and aging process in the second region, so that the life decay curves of the first region and the second region tend to be synchronized, eliminating the "barrel effect" caused by the difference in lifespan between different regions.

[0098] Furthermore, the power battery control method also includes the following steps:

[0099] In response to the second temperature being less than a preset temperature threshold, determine whether the second power in the second region is greater than the second power threshold.

[0100] In response to the second power being greater than the second power threshold, a fourth heat dissipation enhancement amount for the second region is determined based on the second power and the second power threshold.

[0101] The battery thermal management strategy is determined based on the third and fourth heat dissipation enhancements.

[0102] In this embodiment of the invention, the second power refers to the current real-time discharge power of the second region. For example, monitoring the second power aims to identify whether the second region has entered a high-stress state, ensuring that potential heating risks are addressed in advance before the temperature rises significantly, thus maintaining the thermal stability of the second region.

[0103] The second power threshold refers to a power warning line set for the second region. When the real-time power of the second region exceeds the second power threshold, it indicates that the load level of the second region has increased abnormally, which may accelerate the aging of the second region. For example, the second power threshold is used to trigger a feedforward cooling mechanism for the second region to ensure that when the lifespan of the second region is at a critical point, it can provide predictive protection for the high-power operation of the second region and prevent the lifespan of the second region from being further shortened due to local overheating.

[0104] The fourth heat dissipation enhancement refers to the feedforward cooling increment calculated based on the power over-limit of the second region. When the power of the second region exceeds the second power threshold, the fourth heat dissipation enhancement is calculated based on the power over-limit, aiming to inject cooling capacity in advance to offset the expected temperature rise.

[0105] Responding to the second temperature being less than the preset temperature threshold, determining whether the second power of the second region is greater than the second power threshold can be understood as follows: when the second temperature of the second region is still within a safe range, by judging whether the real-time power exceeds the second power threshold, the system can identify in advance whether the second region is about to enter a high-heat operating condition, providing a decision basis for subsequent precise adjustment of cooling intensity and preventing temperature runaway caused by thermal hysteresis.

[0106] In response to the second power being greater than the second power threshold, the fourth heat dissipation enhancement amount for the second region is determined based on the second power and the second power threshold. This can be understood as follows: when the power in the second region is detected to be greater than the second power threshold, the fourth heat dissipation enhancement amount is calculated based on the specific value of the power exceeding the threshold. This effectively avoids temperature overshoot caused by thermal inertia, ensuring that the power battery can maintain a stable temperature under high power pulses and achieving precise temperature control.

[0107] Determining the battery thermal management strategy based on the third and fourth heat dissipation enhancements can be understood as comparing or superimposing the third and fourth heat dissipation enhancements, taking the maximum value or the combined value, and generating the final battery thermal management strategy.

[0108] As can be seen, by taking the above steps, the rationality and efficiency of cooling resource allocation are ensured, and the best balance between battery life balance and system energy consumption optimization is achieved.

[0109] Furthermore, the power battery control method also includes the following steps:

[0110] In response to the second power being less than the second power threshold, thermal management control of the power battery is performed based on the current battery thermal management strategy.

[0111] In this embodiment of the invention, responding to the second power being less than the second power threshold, the thermal management control of the power battery based on the current battery thermal management strategy can be understood as follows: when the second power in the second region is within a safe range and the temperature does not exceed the standard, it indicates that the operating condition of the second region is stable and no additional intervention is required.

[0112] It can be seen that by maintaining the current battery thermal management strategy and avoiding frequent adjustments to the actuator, the battery can maintain its optimal operating state with the lowest energy consumption under low load or stable operating conditions, which reflects the system's efficient use of resources and economic optimization for long-term operation.

[0113] Furthermore, thermal management control of the power battery is carried out in accordance with the battery thermal management strategy, including the following steps:

[0114] The heat dissipation control signal is determined based on the battery thermal management strategy;

[0115] Thermal management control of the power battery is performed based on a preset control cycle and heat dissipation control signal.

[0116] In this embodiment of the invention, the heat dissipation control signal refers to the conversion of abstract thermal management strategies into specific physical instructions that can be recognized by the actuator. For example, the heat dissipation control signal typically includes parameters such as water pump speed, electronic expansion valve opening, fan frequency, or solenoid valve on / off status. The heat dissipation control signal directly drives hardware actions to adjust the flow rate or temperature of the cooling medium, thereby achieving differentiated and precise temperature control for different areas of the battery pack.

[0117] The preset control cycle refers to the time interval within which the thermal management control system completes one full "monitor-decision-execute" cycle. Since battery life (State of Health, SOH) and temperature changes are slow variables with significant thermal inertia, setting a reasonable control cycle (e.g., 30 minutes) is crucial. For example, a preset control cycle ensures timely response to lifespan degradation trends while avoiding system oscillations and energy waste caused by overly frequent adjustments, thus ensuring the stability and smoothness of the control process.

[0118] Determining the heat dissipation control signal based on the battery thermal management strategy can be understood as mapping the battery thermal management strategy to specific hardware control commands, such as the pump speed pulse width modulation (PWM) value, the electronic expansion valve opening, or the fan frequency. By quantifying the control parameters, the system can precisely adjust the flow rate and temperature difference of the cooling medium, achieving differentiated and independent control of the first and second zones, thereby ensuring the accuracy and executability of the thermal management commands.

[0119] Thermal management control of the power battery based on a preset control cycle and heat dissipation control signal can be understood as executing a complete control cycle on the power battery at preset time intervals (e.g., 30 minutes). Within each cycle, the actuator is driven according to the currently calculated heat dissipation control signal, and then enters a waiting or monitoring state. This takes into account the slow variable characteristics of battery thermal inertia and lifespan decay, avoiding system oscillation and actuator wear caused by high-frequency adjustment, while ensuring continuous and effective management of the battery's thermal state, thus achieving a balance between control accuracy and system stability.

[0120] It can be seen that by translating the battery thermal management strategy into specific signals, precise temperature control based on regional differences is ensured. Utilizing a preset control cycle adapts to the slow-variable characteristics of battery thermal inertia and lifespan decay, avoiding system oscillations and actuator wear caused by high-frequency adjustments. This improves system stability and economy while ensuring temperature control accuracy and lifespan balance.

[0121] Figure 2 This is a schematic diagram of an optional power battery control system according to an embodiment of the present invention, such as... Figure 2As shown, the power battery control system 200 aims to achieve balanced management of the lifespan of different regions of the power battery pack through multi-dimensional prediction and coordinated control. The power battery control system 200 includes: a demand analysis module 201, a temperature prediction module 202, a lifespan prediction module 203, a control optimization module 204, and a thermal management control module 205.

[0122] Among them, the demand analysis module 201, as the perception front end of the system, is responsible for collecting vehicle driving data, navigation routes and traffic conditions in real time. It also combines a pre-built knowledge graph and a multiple linear regression model to accurately predict the battery discharge power sequence within the future time window, providing an input benchmark for subsequent thermal management decisions.

[0123] For example, the system can also analyze the driver's accelerator pedal depth and braking frequency over the past 10 minutes to identify whether the driver's driving style is "aggressive" or "mild." If identified as aggressive, the system automatically introduces a correction coefficient α (i.e., I0) greater than 1 into the thermal model. pred =α·I avg , among which, I pred I represents the predicted future current value after driver style correction. avg (Representing the average current baseline value calculated based on historical data), the predicted value of the future current is artificially increased to calculate a higher predicted temperature, thereby solving the temperature prediction problem in scenarios where navigation is not enabled or there is no network signal (road conditions cannot be obtained), and ensuring the robustness of the system.

[0124] Based on the current measured temperature and the power prediction data output by the demand analysis module 201, the temperature prediction module 202 uses an equivalent thermal resistance network model or intelligent algorithm trained based on steady-state data to recursively deduce the future temperature change time series data of the first and second regions, solving the problem of temperature sensing lag in traditional control and realizing feedforward control of "cooling before heating".

[0125] For example, the temperature prediction module 202 internally runs an algorithm based on an equivalent thermal resistance network model. The temperature prediction iterative formula is:

[0126]

[0127] in, The temperature at the next moment to be predicted. This refers to the coolant temperature. For the specific heat capacity of the battery, For cell quality, For heat-generating items, For the future current predicted by the demand analysis module 201, The internal resistance varies with SOC and temperature. Let this be the thermal resistance from the power battery to the coolant. By discretizing and solving this differential equation, the system can be determined at the current time step. Foreknowledge Temperature at +30 min This allows for early intervention in the "heat dissipation enhancement" process, such as increasing the water pump speed or turning on the compressor in advance, to prevent the temperature from actually exceeding the limit.

[0128] For example, historical data on current, voltage, ambient temperature, coolant temperature, and corresponding battery temperature changes can also be collected to train a neural network or regression model. During the prediction phase, the "future current sequence" output by the demand analysis module 201 is used as input features and fed into the pre-trained intelligent model to directly output the future temperature value.

[0129] The life prediction module 203 is the core decision-making basis of the system. By combining the Arrhenius model with real-time operating data, it calculates the current health status and estimated life decay rate of the first and second regions respectively, quantifies the life differences of different regions, and thus identifies the current "life-shortcoming" region.

[0130] Based on the life difference information provided by the life prediction module, the control optimization module 204 divides the temperature change time series data into multiple sub-intervals. Taking the consistency of life decay in different regions as the objective function, it uses an adaptive optimization algorithm (such as model predictive control or particle swarm optimization) to dynamically generate a differentiated cooling control parameter sequence, ensuring that the high-load area receives stronger cooling while the low-load area receives moderate heat dissipation.

[0131] The thermal management control module 205 acts as the execution terminal, receiving instructions from the control optimization module 204 and converting them into specific hardware control signals (such as water pump speed PWM, valve opening, etc.) to drive the independent thermal management loops in different areas to perform actions, ultimately optimizing the overall performance and extending the lifespan of the battery pack.

[0132] For example, the hardware control signal may also include: switching the cooling circuit. For instance, if extremely high temperatures are predicted in the future, the coolant circuit is switched from a passive radiator to a refrigerant direct cooling plate or the phase change material heat absorption mode is activated via a three-way valve, thereby utilizing the cold air generated by the air conditioning system to directly blow on the surface of the battery pack (for air-cooled or air-water hybrid cooling systems) to cool the power battery.

[0133] Figure 3 This is a schematic diagram of the heat dissipation section of an optional intelligent control algorithm according to an embodiment of the present invention, as shown below. Figure 3 As shown, closed-loop control ensures that the lifespan of cells in different areas of the power battery pack tends to be consistent, thereby extending the overall lifespan of the power battery pack. Figure 3 The control process mainly includes steps S1 to S6.

[0134] Step S1: Heat Dissipation Control Initialization and Data Acquisition The system starts the heat dissipation control program. First, lifetime data for different regions is acquired. In this step, the lifetime prediction module 203 calculates the capacity decay of each region using the Arrhenius semi-empirical model. The specific formula is:

[0135]

[0136] in, As a pre-indicative factor, For activation energy, The gas constant is... The measured temperature (Kelvin) for the region. For hourly throughput, The exponent is denoted by . The system calculates the current lifetime L1 of the first region and the current lifetime L2 of the second region, respectively. The formula for calculating lifetime L is:

[0137] L=1-

[0138] Step S2: Calculate the regional lifetime difference ΔL=L1-L2 to quantify the aging inconsistency between the two regions, which is used to determine the heat dissipation weights of the first and second regions.

[0139] Step S3: Obtain the preset temperature threshold and power threshold, including: preset temperature threshold (T limit For example, set it to 35℃; no restrictions are imposed here. First power threshold (P) limit1 ) and the second power threshold (P limit2 ): These correspond to the power warning values ​​for the first and second zones under high-load conditions, respectively. For example, P limit1 Set to 80% of the rated power of this area; no restrictions are imposed here.

[0140] Step S4: Lifetime Comparison and Branching Decisions Figure 3 As shown in the decision box “First region lifetime < Second region lifetime?”, the system enters the main branch decision.

[0141] Scenario A: The lifespan of the first area is less than that of the second area (i.e., the first area ages faster and requires special protection). In this case, the system prioritizes heat dissipation resources for the first area.

[0142] Sub-step A1: Determine if "First region temperature > preset temperature threshold?". If yes, it indicates that the first region not only has a short lifespan but also that the current temperature is too high, requiring immediate and forceful intervention. Execute "Calculate the heat dissipation enhancement amount for the first region based on temperature". Heat dissipation enhancement amount The calculation formula is:

[0143]

[0144] in, This is the current temperature of the first region. For the preset temperature threshold, , These are the proportional and differential coefficients. By introducing the differential term, the temperature rise trend can be predicted, enabling advanced cooling.

[0145] If not, it means the current temperature is acceptable, but further prediction of power surge is needed.

[0146] Sub-step A2: Determine if "First region power > First power threshold?". If yes, it means that although the current temperature is not exceeded, high power input will soon cause a temperature rise. Execute "Calculate the heat dissipation enhancement amount for the first region based on power". Heat dissipation enhancement amount The calculation is as follows:

[0147]

[0148] in This is the power-to-heat conversion coefficient. This feedforward control strategy can effectively avoid the thermal hysteresis effect. For the current power, This is the first power threshold.

[0149] If not, it indicates that the first zone is in a safe operating condition. Execute "First Zone Heat Dissipation Maintenance" to maintain the current cooling strategy and avoid frequent actuator adjustments that could increase energy consumption.

[0150] Scenario B: If the lifespan of the first region is greater than or equal to that of the second region (i.e., the second region ages faster or at the same rate), the system will prioritize protecting the second region.

[0151] Sub-step B1: Determine if "Second region temperature > preset temperature threshold?". If yes, execute "Calculate the heat dissipation enhancement of the second region based on temperature". The calculation logic is the same as sub-step A1, but the object is the second region. If not, proceed to power judgment.

[0152] Sub-step B2: Determine if "Second region power > second power threshold?". If yes, execute "Calculate the heat dissipation enhancement of the second region based on power". If no, execute "Maintain heat dissipation in the second region".

[0153] Step S5: Update the heat dissipation control signal. The control optimization module 204 converts the heat dissipation enhancement amount (or hold command) calculated in the above steps into specific actuator control signals (such as the water pump speed PWM value, electronic expansion valve opening). For example, if it is determined that heat dissipation in the first region needs to be enhanced, and the system is a dual-channel liquid cooling system, then the opening of the solenoid valve leading to the first region channel is increased, or the main water pump speed is increased. The final output control quantity... for:

[0154]

[0155] in, Based on the basic thermal management control quantity, To pass through temperature increment and power increment The maximum control increment that can be achieved.

[0156] Step S6: Store and delay the loop, with a 30-minute delay. By storing the adjustment amount, historical data is used for reference in the next control cycle, achieving integral control. Since battery life is a slow variable with significant thermal inertia, overly frequent lifespan-based strategy adjustments can cause system oscillations. Setting a 30-minute control cycle (this parameter can be adjusted between 10 and 60 minutes depending on actual operating conditions) ensures both responsiveness to lifespan degradation and system stability. After the process completes, return to the "Acquire Regional Lifespan Data" step to enter the next closed-loop cycle.

[0157] Figure 4 This is a schematic diagram of an optional thermal management structure according to an embodiment of the present invention, such as... Figure 4 As shown, the thermal management structure of this invention adopts a "dual-inlet, single-outlet" or partitioned independent flow channel design, physically dividing the battery pack into a first region and a second region. Each region has an independent inlet and outlet, allowing coolant to flow through its respective region at different temperatures and flow rates. This thermal management structure breaks through the limitations of traditional unified temperature control across the entire battery pack, allowing the control system to implement low-temperature, strong cooling for the first region to suppress high-power aging, while simultaneously implementing high-temperature, weak cooling for the second region to save energy. This achieves the dual goals of synchronized lifespan degradation in both regions and optimized system energy efficiency.

[0158] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, data stored, data displayed, etc.) involved in this invention are all information and data authorized by the user or fully authorized by all parties. Furthermore, the collection, use and processing of related data must comply with the relevant laws, regulations and standards of the relevant countries and regions, and corresponding operation entry points are provided for users to choose to authorize or refuse.

[0159] According to an embodiment of the present invention, an embodiment of a power battery control device is provided. It should be noted that the device can be used to execute the above-described power battery control method.

[0160] Figure 5 This is a schematic diagram of a power battery control device according to an embodiment of the present invention, such as... Figure 5As shown, a power battery control device 500 is applied to a vehicle's power battery. The power battery includes a first region and a second region. The power battery control device 500 includes: a first acquisition module 501, used to acquire vehicle driving data and traffic environment data, a first temperature corresponding to the first region, and a second temperature corresponding to the second region; a second acquisition module 502, used to acquire discharge power sequence data of the power battery over a preset time period based on the driving data and traffic environment data; a third acquisition module 503, used to acquire first temperature change time-series data of the first region and second temperature change time-series data of the second region based on the first temperature, second temperature, and discharge power sequence data; a first determination module 504, used to determine a first battery life value of the first region based on the first temperature change time-series data, and a second battery life value of the second region based on the second temperature change time-series data; a second determination module 505, used to determine a battery thermal management strategy based on the first battery life value and the second battery life value; and a control module 506, used to perform thermal management control on the power battery according to the battery thermal management strategy.

[0161] Furthermore, the second determining module 505 is also configured to determine whether the first temperature is greater than a preset temperature threshold in response to the first battery life value being less than the second battery life value; and to determine the first heat dissipation enhancement amount of the first region based on the first temperature and the preset temperature threshold in response to the first temperature being greater than the preset temperature threshold.

[0162] Furthermore, the second determining module 505 is also configured to determine whether the first power of the first region is greater than the first power threshold in response to the first temperature being less than the preset temperature threshold; in response to the first power being greater than the first power threshold, determine the second heat dissipation enhancement amount of the first region based on the first power and the first power threshold; and determine the battery thermal management strategy based on the first heat dissipation enhancement amount and the second heat dissipation enhancement amount.

[0163] Furthermore, the control module 506 is also used to perform thermal management control on the power battery based on the current battery thermal management strategy in response to the first power being less than the first power threshold.

[0164] Furthermore, the second determining module 505 is also configured to determine whether the second temperature is greater than a preset temperature threshold in response to the first battery life value being greater than the second battery life value; and to determine the third heat dissipation enhancement amount of the second region based on the second temperature and the preset temperature threshold in response to the second temperature being greater than the preset temperature threshold.

[0165] Furthermore, the second determining module 505 is also configured to determine whether the second power of the second region is greater than the second power threshold in response to the second temperature being less than the preset temperature threshold; in response to the second power being greater than the second power threshold, determine the fourth heat dissipation enhancement amount of the second region based on the second power and the second power threshold; and determine the battery thermal management strategy based on the third heat dissipation enhancement amount and the fourth heat dissipation enhancement amount.

[0166] Furthermore, the control module 506 is also used to perform thermal management control on the power battery based on the current battery thermal management strategy in response to the second power being less than the second power threshold.

[0167] Furthermore, the control module 506 is also used to determine the heat dissipation control signal according to the battery thermal management strategy; and to perform thermal management control of the power battery based on the preset control cycle and the heat dissipation control signal.

[0168] According to another aspect of the present invention, a vehicle is also provided, comprising: a memory storing an executable program; and a processor for running the executable program, wherein the executable program, when run on the processor, performs the power battery control method described in any of the preceding embodiments.

[0169] Optionally, in this embodiment, the processor in the vehicle can be configured to run a computer program to perform the following steps:

[0170] Step S11: Obtain vehicle driving data and vehicle traffic environment data, first temperature corresponding to the first area and second temperature corresponding to the second area;

[0171] Step S12: Based on driving data and traffic environment data, obtain the discharge power sequence data of the power battery within a preset time period;

[0172] Step S13: Based on the first temperature, second temperature and discharge power sequence data, obtain the first temperature change time series data of the first region and the second temperature change time series data of the second region;

[0173] Step S14: Determine the first battery life value of the first region based on the first temperature change time series data, and determine the second battery life value of the second region based on the second temperature change time series data.

[0174] Step S15: Determine the battery thermal management strategy based on the first battery life value and the second battery life value;

[0175] Step S16: Perform thermal management control on the power battery according to the battery thermal management strategy.

[0176] According to another aspect of the present invention, a computer-readable storage medium is also provided, wherein a computer program is stored in the computer-readable storage medium, wherein the computer program is configured to execute the power battery control method described above when run on a computer or processor.

[0177] Optionally, in this embodiment, the computer-readable storage medium may be configured to store a computer program for performing the following steps:

[0178] Step S11: Obtain vehicle driving data and vehicle traffic environment data, first temperature corresponding to the first area and second temperature corresponding to the second area;

[0179] Step S12: Based on driving data and traffic environment data, obtain the discharge power sequence data of the power battery within a preset time period;

[0180] Step S13: Based on the first temperature, second temperature and discharge power sequence data, obtain the first temperature change time series data of the first region and the second temperature change time series data of the second region;

[0181] Step S14: Determine the first battery life value of the first region based on the first temperature change time series data, and determine the second battery life value of the second region based on the second temperature change time series data.

[0182] Step S15: Determine the battery thermal management strategy based on the first battery life value and the second battery life value;

[0183] Step S16: Perform thermal management control on the power battery according to the battery thermal management strategy.

[0184] According to another aspect of the present invention, a computer program product is also provided, including a non-volatile computer-readable storage medium storing a computer program, which, when executed by a processor, implements the power battery control method in various embodiments of the present invention.

[0185] Optionally, in this embodiment, the computer program in the above-described computer program product can be configured to perform the following steps when executed by a processor:

[0186] Step S11: Obtain vehicle driving data and vehicle traffic environment data, first temperature corresponding to the first area and second temperature corresponding to the second area;

[0187] Step S12: Based on driving data and traffic environment data, obtain the discharge power sequence data of the power battery within a preset time period;

[0188] Step S13: Based on the first temperature, second temperature and discharge power sequence data, obtain the first temperature change time series data of the first region and the second temperature change time series data of the second region;

[0189] Step S14: Determine the first battery life value of the first region based on the first temperature change time series data, and determine the second battery life value of the second region based on the second temperature change time series data.

[0190] Step S15: Determine the battery thermal management strategy based on the first battery life value and the second battery life value;

[0191] Step S16: Perform thermal management control on the power battery according to the battery thermal management strategy.

[0192] According to another aspect of the present invention, a computer program is also provided, which, when executed by a processor, implements the power battery control method in various embodiments of the present invention.

[0193] Optionally, in this embodiment, the computer program described above can be configured to perform the following steps when executed by the processor:

[0194] Step S11: Obtain vehicle driving data and vehicle traffic environment data, first temperature corresponding to the first area and second temperature corresponding to the second area;

[0195] Step S12: Based on driving data and traffic environment data, obtain the discharge power sequence data of the power battery within a preset time period;

[0196] Step S13: Based on the first temperature, second temperature and discharge power sequence data, obtain the first temperature change time series data of the first region and the second temperature change time series data of the second region.

[0197] Step S14: Determine the first battery life value of the first region based on the first temperature change time series data, and determine the second battery life value of the second region based on the second temperature change time series data.

[0198] Step S15: Determine the battery thermal management strategy based on the first battery life value and the second battery life value;

[0199] Step S16: Perform thermal management control on the power battery according to the battery thermal management strategy.

[0200] In the above embodiments of the present invention, the descriptions of each embodiment have different focuses. For parts not described in detail in a certain embodiment, please refer to the relevant descriptions of other embodiments.

[0201] In the several embodiments provided by this invention, it should be understood that the disclosed technical content can be implemented in other ways. The device embodiments described above are merely illustrative; for example, the division of units can be a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the displayed or discussed mutual coupling, direct coupling, or communication connection can be through some interfaces; the indirect coupling or communication connection of units or modules can be electrical or other forms.

[0202] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0203] Furthermore, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0204] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, read-only memory (ROM), random access memory (RAM), portable hard drives, magnetic disks, or optical disks.

[0205] The above description is only a preferred embodiment of the present invention. It should be noted that for those skilled in the art, several improvements and modifications can be made without departing from the principle of the present invention, and these improvements and modifications should also be considered within the scope of protection of the present invention.

Claims

1. A power battery control method, characterized in that, The power battery control method is applied to the power battery of a vehicle, the power battery comprising: a first region and a second region, the power battery control method comprising: Acquire the vehicle's driving data and traffic environment data, the first temperature corresponding to the first area, and the second temperature corresponding to the second area; Based on the driving data and the traffic environment data, obtain the discharge power sequence data of the power battery over a preset time period; Based on the first temperature, the second temperature, and the discharge power sequence data, first temperature change time series data for the first region and second temperature change time series data for the second region are obtained. The first battery life value of the first region is determined based on the first temperature change time series data, and the second battery life value of the second region is determined based on the second temperature change time series data. A battery thermal management strategy is determined based on the first battery life value and the second battery life value; The power battery is thermally managed and controlled according to the battery thermal management strategy.

2. The method according to claim 1, characterized in that, The battery thermal management strategy is determined based on the first battery life value and the second battery life value, including: In response to the first battery life value being less than the second battery life value, determine whether the first temperature is greater than a preset temperature threshold. In response to the first temperature being greater than the preset temperature threshold, a first heat dissipation enhancement amount for the first region is determined based on the first temperature and the preset temperature threshold.

3. The method according to claim 2, characterized in that, The method further includes: In response to the first temperature being less than the preset temperature threshold, it is determined whether the first power in the first region is greater than the first power threshold. In response to the first power being greater than the first power threshold, a second heat dissipation enhancement amount for the first region is determined based on the first power and the first power threshold; The battery thermal management strategy is determined based on the first heat dissipation enhancement amount and the second heat dissipation enhancement amount.

4. The method according to claim 3, characterized in that, The method further includes: In response to the first power being less than the first power threshold, thermal management control is performed on the power battery based on the current battery thermal management strategy.

5. The method according to claim 1, characterized in that, The battery thermal management strategy is determined based on the first battery life value and the second battery life value, including: In response to the first battery life value being greater than the second battery life value, determine whether the second temperature is greater than a preset temperature threshold. In response to the second temperature being greater than the preset temperature threshold, a third heat dissipation enhancement amount for the second region is determined based on the second temperature and the preset temperature threshold.

6. The method according to claim 5, characterized in that, The method further includes: In response to the second temperature being less than the preset temperature threshold, it is determined whether the second power in the second region is greater than the second power threshold. In response to the second power being greater than the second power threshold, a fourth heat dissipation enhancement amount for the second region is determined based on the second power and the second power threshold; The battery thermal management strategy is determined based on the third and fourth heat dissipation enhancements.

7. The method according to claim 6, characterized in that, The method further includes: In response to the second power being less than the second power threshold, thermal management control is performed on the power battery based on the current battery thermal management strategy.

8. The method according to claim 1, characterized in that, Thermal management control of the power battery according to the battery thermal management strategy includes: The heat dissipation control signal is determined based on the battery thermal management strategy; Thermal management control of the power battery is performed based on a preset control cycle and the heat dissipation control signal.

9. A vehicle, characterized in that, include: Memory, which stores executable programs; A processor for running the executable program, wherein the executable program, when running on the processor, performs the power battery control method according to any one of claims 1 to 8.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program, wherein the computer program is configured to execute the power battery control method according to any one of claims 1 to 8 when run on a computer or processor.

Images