Battery adaptive thermal management method and device, vehicle and medium

Abstract

The invention relates to the technical field of battery thermal management, and discloses a battery self-adaptive thermal management method and device, a vehicle and a medium. Basic control parameters of battery thermal management are comprehensively determined by utilizing the maximum temperature of a battery and the maximum temperature change rate of the battery; and the basic control parameters are corrected by comprehensively referring to the battery average temperature, the battery average temperature change rate, the environment temperature, the environment road condition and the driving style, so that the final target control parameters can comprehensively cover the real thermal management requirements of the whole battery pack, thermal management parameter control can be performed as early as possible, action is performed in advance, and the efficiency is improved. Compared with the prior art, the method has the advantages that the timeliness is higher, the problem of out-of-control caused by too fast temperature rise can be effectively avoided, and the thermal management system is accurately controlled, so that the energy consumption is reduced to the greatest extent, the self-adaptive dynamic control of the thermal management strategy is realized, the service life of the battery is prolonged, the vehicle performance is improved, and the user experience is improved on the premise of meeting the thermal management performance of the battery.

Description

Technical Field

[0001] The present invention relates to the technical field of battery thermal management, and in particular to a battery adaptive thermal management method, device, vehicle and medium. Background Art

[0002] Power batteries are the core components and energy source of hybrid and electric vehicles. Inadequate battery thermal management performance can lead to rapid temperature rise, impacting battery charge and discharge power, lifespan, and even thermal safety. Excessive battery thermal management performance can reduce vehicle comfort and increase energy consumption. Battery thermal management control parameters and activation thresholds are typically fixed, making precise control of battery thermal management difficult. Summary of the Invention

[0003] In view of this, the present invention provides a battery adaptive thermal management method, device, vehicle and medium to solve the problem in related technologies that battery thermal management is difficult to achieve precise control.

[0004] In a first aspect, the present invention provides a battery adaptive thermal management method, which is applied to a vehicle equipped with a power battery, the method comprising:

[0005] Obtain battery temperature data of the power battery, and obtain the current ambient temperature of the vehicle, current ambient road conditions, and current driving style. The battery temperature data includes: current maximum battery temperature, current maximum battery temperature change rate, current average battery temperature, and current average battery temperature change rate;

[0006] determining a basic control parameter for battery thermal management based on the current maximum battery temperature and the current maximum battery temperature change rate;

[0007] Correcting the basic control parameters based on the current average battery temperature, the current average battery temperature change rate, the current ambient temperature, the current ambient road conditions, and the current driving style to obtain target control parameters;

[0008] Battery thermal management control is performed based on the target control parameter.

[0009] The present invention comprehensively determines the basic control parameters of battery thermal management by utilizing the maximum battery temperature and the rate of change of the maximum battery temperature, and modifies the basic control parameters by comprehensively referring to the average battery temperature, the rate of change of the average battery temperature, the ambient temperature, the ambient road conditions and the driving style. This allows the final target control parameters to fully cover the actual thermal management needs of the entire battery pack, making it easier to make thermal management parameter controls as early as possible and act in advance with higher timeliness. This can effectively avoid the problem of loss of control due to excessive temperature rise, and achieve precise control of the thermal management system. This minimizes energy consumption while meeting the battery thermal management performance, achieves adaptive dynamic control of the thermal management strategy, extends battery life, improves vehicle performance, and thus enhances the user experience.

[0010] In an optional embodiment, determining the basic control parameters of battery thermal management based on the current maximum battery temperature and the current maximum battery temperature change rate includes:

[0011] The battery thermal management parameters corresponding to different battery maximum temperatures and different battery maximum temperature change rates are calibrated to obtain the corresponding relationship between the battery maximum temperature, the battery maximum temperature change rate and the battery thermal management parameters;

[0012] Based on the corresponding relationship between the battery maximum temperature, the battery maximum temperature change rate and the battery thermal management parameters, basic control parameters corresponding to the current battery maximum temperature and the current battery maximum temperature change rate are determined.

[0013] The present invention calibrates battery thermal management parameters corresponding to different battery maximum temperatures and different battery maximum temperature change rates, and uses the battery maximum temperature and the battery maximum temperature change rate to comprehensively determine the basic control parameters of battery thermal management, thereby improving the efficiency and accuracy of formulating the basic control parameters. The battery maximum temperature is used to reflect the battery thermal management needs, and the battery maximum temperature change rate is used to reflect the urgency of the battery thermal management needs, avoiding the limitations of single battery maximum temperature decision-making, so that the basic control parameters can meet the actual needs of battery thermal management, and further improving the accuracy of battery thermal management.

[0014] In an optional embodiment, the modifying the basic control parameters based on the current average battery temperature, the current average battery temperature change rate, the current ambient temperature, the current ambient road conditions, and the current driving style to obtain the target control parameters includes:

[0015] determining a global state correction coefficient based on the current battery average temperature and the current battery average temperature change rate;

[0016] Determining an environmental correction coefficient based on the current ambient temperature and the current ambient road conditions;

[0017] determining a driving style correction factor based on the current driving style;

[0018] The basic control parameters are jointly corrected based on the global state correction coefficient, the environment correction coefficient, and the driving style correction coefficient to obtain target control parameters.

[0019] The present invention uses the average battery temperature and the average temperature change rate as correction factors for the thermal management strategy, which can reflect the temperature state changes of the entire battery pack. While formulating the thermal management strategy based on the maximum battery temperature and the maximum temperature change rate, the thermal management strategy can cover the actual temperature conditions of the entire battery pack. By using the current ambient temperature and the current ambient road conditions as correction factors for the thermal management strategy, the impact of the external environment on the battery operation during the actual operation of the vehicle can be reflected, so that the thermal management strategy can conform to the operating state of the actual vehicle under the real environment. In addition, by using the driver's driving style as a correction factor for the thermal management strategy, the impact of the driver's driving style on the battery operation during the actual operation of the vehicle can be reflected, so that the thermal management strategy can conform to the driver's personalized driving style, thereby improving the comprehensiveness and accuracy of battery thermal management.

[0020] In an optional implementation, determining the global state correction coefficient based on the current average battery temperature and the current average battery temperature change rate includes:

[0021] The global state correction coefficients corresponding to different battery average temperatures and different battery average temperature change rates are calibrated to obtain the corresponding relationship between the battery average temperature, the battery average temperature change rate and the global state correction coefficient;

[0022] Based on the corresponding relationship between the battery average temperature, the battery average temperature change rate and the global state correction coefficient, the global state correction coefficient corresponding to the current battery average temperature and the current battery average temperature change rate is determined.

[0023] The present invention improves the accuracy of the global state correction coefficient by calibrating the global state correction coefficient corresponding to different battery average temperatures and different battery average temperature change rates, so that the global state correction coefficient can fully cover the actual thermal management requirements of the entire battery pack, further improving the accuracy of battery thermal management.

[0024] In an optional implementation, determining the environmental correction coefficient based on the current ambient temperature and the current ambient road condition includes:

[0025] Calibrate the environmental correction coefficients corresponding to different ambient temperatures and different ambient road conditions to obtain the corresponding relationship between ambient temperature, ambient road conditions and environmental correction coefficients;

[0026] Based on the corresponding relationship between the ambient temperature, the ambient road condition and the ambient correction coefficient, the ambient correction coefficient corresponding to the current ambient temperature and the current ambient road condition is determined.

[0027] The present invention improves the accuracy of the environmental correction coefficient by calibrating the environmental correction coefficient corresponding to different ambient temperatures and different environmental road conditions, so that the environmental correction coefficient can truly reflect the impact of the driving environment on battery thermal management, and the final thermal management strategy can adapt to the normal driving environment, further improving the accuracy of battery thermal management.

[0028] In an optional implementation, determining a driving style correction coefficient based on the current driving style includes:

[0029] Calibrate the driving style correction coefficients corresponding to different driving styles to obtain the corresponding relationship between the driving styles and the driving style correction coefficients;

[0030] Based on the corresponding relationship between the driving style and the driving style correction coefficient, a driving style correction coefficient corresponding to the current driving style is determined.

[0031] The present invention improves the accuracy of the driving style correction coefficient by calibrating the driving style correction coefficient corresponding to different driving styles, so that the driving style correction coefficient can truly reflect the impact of driving style on battery thermal management, allowing the final thermal management strategy to adapt to the driving styles of different drivers, further improving the accuracy of battery thermal management.

[0032] In an optional embodiment, the method further includes:

[0033] Determining whether the current maximum battery temperature is greater than a preset temperature threshold;

[0034] When the current maximum battery temperature is greater than a preset temperature threshold, obtaining a preset power limit value, and determining a power limit value correction coefficient based on the current maximum battery temperature and a change rate of the current maximum battery temperature;

[0035] Correcting the preset power limit based on the power limit correction coefficient to obtain a target power limit;

[0036] The battery power of the power battery is adjusted based on the target power limit.

[0037] The present invention performs adaptive thermal management of the battery while precisely controlling the heat generation source. The battery power limit is dynamically corrected according to different vehicle states, namely the maximum battery temperature and the current rate of change of the maximum battery temperature. This avoids the existing "one-size-fits-all" model and achieves precise derating at the heat generation source, maximizing driving comfort while ensuring thermal safety, thereby enhancing the user experience.

[0038] In an optional implementation, obtaining the current driving style of the vehicle includes:

[0039] Monitor the vehicle's accelerator pedal opening and calculate the accelerator pedal opening change rate corresponding to each sampling moment within the unit mileage;

[0040] Counting the number of current sampling moments at which the accelerator pedal opening change rate is not less than a preset accelerator pedal opening change rate threshold;

[0041] Based on the correspondence between the preset number of sampling moments and the driving style, a current driving style corresponding to the current number of sampling moments is determined.

[0042] The present invention determines the driver's driving style by calculating the accelerator pedal opening change rate corresponding to each sampling moment within a unit of mileage, and counting the number of times the change rate exceeds a set value, thereby achieving accurate classification of driving styles, providing an accurate basis for the subsequent formulation of battery thermal management strategies, and helping to further improve the accuracy of battery management strategies.

[0043] In an optional implementation, obtaining the current environmental road condition of the vehicle includes:

[0044] Detect whether the vehicle navigation function is turned on;

[0045] When the vehicle navigation function is turned on, the vehicle's current environmental road conditions are obtained from the navigation map.

[0046] The present invention improves the accuracy of the environmental road conditions by using the navigation subway to obtain the vehicle environmental road conditions when the vehicle navigation function is turned on, provides an accurate basis for the subsequent formulation of the battery thermal management strategy, and is conducive to further improving the accuracy of the battery management strategy.

[0047] In an optional embodiment, the method further includes:

[0048] When the vehicle navigation function is not turned on, the vehicle's surrounding environmental data is collected through the vehicle's onboard sensors;

[0049] The environmental data is analyzed to obtain the current environmental road conditions of the vehicle.

[0050] The present invention uses on-board sensors to collect environmental data when the vehicle navigation function is not turned on and determines the environmental road conditions through data analysis, providing an accurate basis for the subsequent formulation of battery thermal management strategies, which is conducive to further improving the accuracy of battery thermal management strategies.

[0051] In a second aspect, the present invention provides a battery adaptive thermal management device, which is applied to a vehicle equipped with a power battery, and the device includes:

[0052] An acquisition module is used to obtain battery temperature data of the power battery and the current ambient temperature, current ambient road conditions, and current driving style of the vehicle. The battery temperature data includes: the current maximum battery temperature, the current maximum battery temperature change rate, the current average battery temperature, and the current average battery temperature change rate;

[0053] a first processing module, configured to determine basic control parameters for battery thermal management based on the current maximum battery temperature and the current maximum battery temperature change rate;

[0054] a second processing module, configured to modify the basic control parameters based on the current average battery temperature, the current average battery temperature change rate, the current ambient temperature, the current ambient road conditions, and the current driving style to obtain target control parameters;

[0055] A third processing module is configured to perform battery thermal management control based on the target control parameter.

[0056] In a third aspect, the present invention provides a vehicle, wherein the vehicle is provided with a power battery, and the vehicle includes: a controller, wherein the controller includes:

[0057] The memory and the processor are communicatively connected to each other, the memory stores computer instructions, and the processor executes the method described in the first aspect and any one of its optional embodiments by executing the computer instructions.

[0058] In a fourth aspect, the present invention provides a computer-readable storage medium having computer instructions stored thereon, the computer instructions being used to enable a computer to execute the method provided in the first aspect or any corresponding embodiment thereof.

[0059] Beneficial effects of the present invention:

[0060] The present invention comprehensively determines the basic control parameters of battery thermal management by utilizing the maximum battery temperature and the rate of change of the maximum battery temperature, and modifies the basic control parameters by comprehensively referring to the average battery temperature, the rate of change of the average battery temperature, the ambient temperature, the ambient road conditions and the driving style. This allows the final target control parameters to fully cover the actual thermal management needs of the entire battery pack, making it easier to make thermal management parameter controls as early as possible and act in advance with higher timeliness. This can effectively avoid the problem of loss of control due to excessive temperature rise, and achieve precise control of the thermal management system. This minimizes energy consumption while meeting the battery thermal management performance, achieves adaptive dynamic control of the thermal management strategy, extends battery life, improves vehicle performance, and thus enhances the user experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0061] In order to more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the specific embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0062] Figure 1 is a flow chart of a battery adaptive thermal management method according to an embodiment of the present invention;

[0063] Figure 2 is a flow chart of another battery adaptive thermal management method according to an embodiment of the present invention;

[0064] Figure 3 is a functional block diagram of a battery adaptive thermal management system according to an embodiment of the present invention;

[0065] Figure 4 is a schematic diagram of a specific thermal management process of a battery adaptive thermal management system according to an embodiment of the present invention;

[0066] Figure 5 is a schematic structural diagram of a battery adaptive thermal management device according to an embodiment of the present invention;

[0067] Figure 6 2 is a schematic structural diagram of a vehicle controller according to an embodiment of the present invention. DETAILED DESCRIPTION

[0068] To make the purpose, technical solutions, and advantages of the embodiments of the present invention more clear, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without making creative efforts shall fall within the scope of protection of the present invention.

[0069] In related technologies, battery thermal management control parameters and activation thresholds are typically fixed, lacking efficient, systematic self-learning and self-adaptation. The increasingly globalized automotive market necessitates either preemptive thermal management system intervention or improved thermal management performance to accommodate regional applications, sacrificing energy efficiency, or differentiated designs, with different models designed for different regions. This creates a wide variety of vehicle states and prevents the implementation of a platform.

[0070] Based on this, an embodiment of the present invention provides a battery adaptive thermal management solution, the purpose of which is to achieve precise control of battery thermal management, adapt to market applications in different regions, and highly platform-based products. By analyzing the user's driving style, environmental factors, and the vehicle's global temperature data, the vehicle's thermal management strategy is adjusted, and the thermal management system thresholds and control parameters are dynamically optimized at all times. At the same time, when necessary, the charging or discharging power limits are dynamically adjusted to reduce heat generation at the heat source. The technical solution provided by the present invention can implement a thermal management strategy for thousands of vehicles, ensuring battery performance, overheating, and thermal safety while maximizing user comfort and reducing energy consumption.

[0071] According to an embodiment of the present invention, an embodiment of a battery adaptive thermal management method is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0072] In this embodiment, a battery adaptive thermal management method is provided, which can be applied to a controller of a vehicle equipped with a power battery, such as a single-chip microcomputer, an MCU, or other control chip. Figure 1 FIG. 1 is a flow chart of a method for adaptive thermal management of a battery according to an embodiment of the present invention. Figure 1 As shown, the process includes the following steps:

[0073] Step S101 , obtaining battery temperature data of the power battery, and obtaining the current ambient temperature, current ambient road conditions, and current driving style of the vehicle.

[0074] The battery temperature data includes: the current maximum battery temperature, the current maximum battery temperature change rate, the current average battery temperature, and the current average battery temperature change rate.

[0075] Specifically, temperature sensors installed at different locations on the power battery can be used to collect the temperature of the battery cells at different locations to obtain a temperature set. Data processing and calculations can be performed on the temperature set to obtain the current maximum battery temperature, the current maximum battery temperature change rate, the current average battery temperature, and the current average battery temperature change rate. The specific data processing and calculation processes are conventional techniques, such as calculating the maximum battery temperature change rate from the maximum battery temperature, calculating the average battery temperature change rate from the average battery temperature, etc., and will not be described in detail here. The aforementioned ambient temperature, ambient road conditions, and driving style can be manually input by the user or obtained through data collection and processing by sensors mounted on the vehicle, such as collecting ambient temperature using a temperature sensor mounted on the vehicle, obtaining ambient road conditions using GPS, and analyzing the user's driving operations using sensors to obtain the user's driving style. The present invention is not limited to these.

[0076] Step S102 : determining basic control parameters for battery thermal management based on the current maximum battery temperature and the current rate of change of the maximum battery temperature.

[0077] Specifically, taking the battery thermal management method of cooling as an example, the basic control parameters of battery thermal management include at least the starting coolant temperature and flow rate, that is, the coolant temperature and flow rate required to cool the battery. Furthermore, thermal management activation conditions, such as the activation time of cooling, may also be included, but the present invention is not limited to this.

[0078] For example, the higher the maximum battery temperature, the higher the thermal management requirement of the battery at this time, and the lower the coolant temperature and the higher the flow rate corresponding to the basic control parameters. At the same time, the greater the rate of change of the maximum battery temperature, the faster the battery heats up in a short period of time and the more likely it is to get out of control. In order to avoid this situation, thermal management parameter control is required to act in advance, reduce the coolant temperature, and increase the coolant flow rate to suppress excessive temperature rise, thereby combining the dual factors of the maximum battery temperature and the rate of change of the maximum battery temperature to jointly determine the basic control parameters that can better meet the current thermal management requirements of the battery.

[0079] Furthermore, the battery thermal management method can also include air cooling, that is, cooling by adjusting the air intake volume by controlling the fan speed, and direct cooling, that is, cooling by adjusting the refrigerant flow and temperature. The corresponding basic control parameters under different thermal management methods are also adaptively adjusted. For example, the basic control parameters under the air cooling method are the fan speed, and the basic control parameters under the direct cooling method are the refrigerant flow and temperature. They will not be repeated here.

[0080] Step S103 , based on the current average battery temperature, the current average battery temperature change rate, the current ambient temperature, the current ambient road conditions, and the current driving style, the basic control parameters are corrected to obtain target control parameters.

[0081] Specifically, since the average temperature of the battery and the average temperature can reflect the temperature conditions of the entire battery pack, in order to make the battery thermal management control parameters cover the temperature conditions of the entire battery pack and at the same time meet the impact of the environment and different driver styles on battery operation, the basic control parameters are comprehensively corrected by utilizing these influencing factors, so that the target control parameters can be more accurate and the battery thermal management efficiency is improved.

[0082] Step S104 : performing battery thermal management control based on the target control parameters.

[0083] Specifically, the battery is adaptively thermally managed according to the target control parameters determined through the above steps, such as cooling the power battery according to the temperature and flow rate of the coolant determined above.

[0084] The embodiment of the present invention comprehensively determines the basic control parameters of battery thermal management by utilizing the maximum battery temperature and the rate of change of the maximum battery temperature, and modifies the basic control parameters by comprehensively referring to the average battery temperature, the rate of change of the average battery temperature, the ambient temperature, the ambient road conditions, and the driving style. This allows the final target control parameters to fully cover the actual thermal management needs of the entire battery pack, making it easier to make thermal management parameter controls as early as possible and to act in advance with greater timeliness. This can effectively avoid the problem of loss of control due to excessive temperature rise, and achieve precise control of the thermal management system. This minimizes energy consumption while meeting the battery thermal management performance, achieves adaptive dynamic control of the thermal management strategy, extends battery life, improves vehicle performance, and thereby enhances the user experience.

[0085] In this embodiment, a battery adaptive thermal management method is also provided, which can be applied to a controller of a vehicle equipped with a power battery, such as a single-chip microcomputer, an MCU, or other control chip. Figure 2 FIG. 1 is a flow chart of a method for adaptive thermal management of a battery according to an embodiment of the present invention. Figure 2 As shown, the process includes the following steps:

[0086] Step S201 , obtaining battery temperature data of the power battery, and obtaining the current ambient temperature, current ambient road conditions, and current driving style of the vehicle.

[0087] The battery temperature data includes: the current maximum battery temperature, the current maximum battery temperature change rate, the current average battery temperature, and the current average battery temperature change rate.

[0088] Specifically, obtaining the current driving style of the vehicle in step S201 includes the following steps:

[0089] In step m1, the accelerator pedal opening of the vehicle is monitored, and the accelerator pedal opening change rate corresponding to each sampling moment within a unit mileage is calculated.

[0090] Specifically, the accelerator pedal opening signal can be collected in real time or at a fixed sampling period by the accelerator pedal opening monitoring device installed on the vehicle. The corresponding accelerator pedal opening change rate can be calculated by using the accelerator pedal opening signal at each sampling moment. This is an existing technology and will not be described in detail here.

[0091] Step m2: Count the number of current sampling moments at which the accelerator pedal opening change rate is not less than a preset accelerator pedal opening change rate threshold.

[0092] Among them, the preset accelerator pedal opening rate threshold can be flexibly set according to the actual driving style classification strategy and accuracy requirements, and will not be elaborated here.

[0093] Step m3: determining the current driving style corresponding to the current number of sampling moments based on the correspondence between the preset number of sampling moments and the driving style.

[0094] Specifically, driving styles can be divided according to actual needs, for example, they can be divided into aggressive and general, or aggressive, general, conservative, etc. The specific correspondence between different driving styles and the number of preset sampling moments can be statistically obtained by conducting a large number of driving tests in advance. Specifically, the larger the value of the number, the more aggressive the driving style.

[0095] The embodiment of the present invention determines the driver's driving style by calculating the accelerator pedal opening change rate corresponding to each sampling moment within a unit of mileage, and counting the number of times the change rate exceeds a set value, thereby achieving accurate classification of driving styles, providing an accurate basis for the subsequent formulation of battery thermal management strategies, and helping to further improve the accuracy of battery management strategies.

[0096] Furthermore, the above step S201 of obtaining the current environmental road conditions of the vehicle includes the following steps:

[0097] Step n1, detecting whether the vehicle navigation function is turned on.

[0098] Specifically, whether the navigation function is turned on can be determined by detecting whether the navigation software of the vehicle computer is turned on or detecting whether the vehicle computer is connected to external navigation software. The specific detection method is existing technology and will not be described in detail here.

[0099] Step n2: When the vehicle navigation function is turned on, the current environment and road conditions of the vehicle are obtained from the navigation map.

[0100] For example, when navigation is turned on, the next road condition information prompted in the navigation map is used as the current environmental road condition. For example, if the navigation software prompts that there is an uphill slope ahead, the current environmental road condition is an uphill slope, etc.

[0101] The embodiment of the present invention improves the accuracy of the environmental road conditions by using the navigation subway to obtain the vehicle environmental road conditions when the vehicle navigation function is turned on, provides an accurate basis for the subsequent formulation of the battery thermal management strategy, and is conducive to further improving the accuracy of the battery management strategy.

[0102] Step n3: When the vehicle navigation function is not turned on, the vehicle's surrounding environmental data is collected through the vehicle-mounted sensors.

[0103] Specifically, the vehicle's positioning information and surrounding environment images can be collected as environmental data through GPS sensors and image sensors.

[0104] Step n4: Analyze the environmental data to obtain the current environmental road conditions of the vehicle.

[0105] Specifically, the geographical location features corresponding to the positioning, such as plains, hills, etc., can be obtained through positioning information to determine whether the current environmental road condition is a mountain road or a flat road, etc., or image analysis and recognition can be performed on the surrounding environment image to obtain whether the current environmental road condition is a flat road or an uphill road, etc. The specific image analysis and recognition algorithm is an existing technology and will not be repeated here.

[0106] The embodiment of the present invention uses on-board sensors to collect environmental data when the vehicle navigation function is not turned on and determines the environmental road conditions through data analysis, providing an accurate basis for the subsequent formulation of battery thermal management strategies, which is conducive to further improving the accuracy of battery thermal management strategies.

[0107] Step S202 : determining basic control parameters for battery thermal management based on the current maximum battery temperature and the current maximum battery temperature change rate.

[0108] Specifically, the above step S202 includes:

[0109] Step S2021 , calibrating battery thermal management parameters corresponding to different battery maximum temperatures and different battery maximum temperature change rates, and obtaining a corresponding relationship between the battery maximum temperature, the battery maximum temperature change rate, and the battery thermal management parameters.

[0110] For example, by calibrating the battery thermal management parameters corresponding to different battery maximum temperatures and different battery maximum temperature change rates, a thermal management basic matrix B is obtained. The thermal management basic matrix B is a two-dimensional table of battery thermal management parameters determined according to the battery maximum temperature and the maximum temperature change rate, as shown in Table 1. In the table, t bmax Represents the maximum temperature of the battery, r btmax represents the maximum temperature change rate of the battery. The specific values ​​in Table 1 are application examples and can be adjusted according to actual applications. b represents the battery thermal management parameter, which is determined through calibration.

[0111] Table 1 Thermal management basic matrix B

[0112]

[0113] Step S2022 : Based on the corresponding relationship between the battery maximum temperature, the battery maximum temperature change rate, and the battery thermal management parameters, determine the basic control parameters corresponding to the current battery maximum temperature and the current battery maximum temperature change rate.

[0114] For example, the control parameters closest to the current maximum battery temperature and the current maximum battery temperature change rate in Table 1 are directly used as the basic control parameters through table lookup. Furthermore, to improve the accuracy of the control parameters, the two control parameters closest to the current maximum battery temperature and the current maximum battery temperature change rate can also be obtained through table lookup in Table 1, and then the final basic control parameters can be obtained through linear interpolation. The present invention is not limited to this.

[0115] The embodiments of the present invention calibrate battery thermal management parameters corresponding to different battery maximum temperatures and different battery maximum temperature change rates, and use the battery maximum temperature and the battery maximum temperature change rate to comprehensively determine the basic control parameters of battery thermal management, thereby improving the efficiency and accuracy of formulating the basic control parameters. The battery maximum temperature is used to reflect the battery thermal management requirements, and the battery maximum temperature change rate is used to reflect the urgency of the battery thermal management requirements, avoiding the limitations of single battery maximum temperature decision-making, so that the basic control parameters can meet the actual needs of battery thermal management, and further improving the accuracy of battery thermal management.

[0116] In step S203 , the basic control parameters are corrected based on the current average battery temperature, the current average battery temperature change rate, the current ambient temperature, the current ambient road conditions, and the current driving style to obtain target control parameters.

[0117] Specifically, the above step S203 includes:

[0118] Step S2031 : determining a global state correction coefficient based on the current average battery temperature and the current average battery temperature change rate.

[0119] Furthermore, the above step S2031 includes:

[0120] In step a1, the global state correction coefficients corresponding to different battery average temperatures and different battery average temperature change rates are calibrated to obtain the corresponding relationship between the battery average temperature, the battery average temperature change rate and the global state correction coefficient.

[0121] For example, by calibrating the correction coefficients of the battery thermal management parameters corresponding to different battery average temperatures and different battery average temperature change rates, a global state correction matrix W is obtained. The global state correction matrix W is a two-dimensional table of correction coefficients of the battery thermal management parameters determined by the battery average temperature and its change rate, as shown in Table 2. bavg Represents the average battery temperature, r btavg Represents the average battery temperature change rate. The specific values ​​in Table 2 are application examples and can be adjusted according to actual applications. In the table, w represents the global state correction coefficient, which is determined through calibration.

[0122] Table 2 Global state correction matrix W

[0123]

[0124] Step a2: determining the global state correction coefficient corresponding to the current battery average temperature and the current battery average temperature change rate based on the corresponding relationship between the battery average temperature, the battery average temperature change rate and the global state correction coefficient.

[0125] For example, the correction coefficient in Table 2 that is closest to the current average battery temperature and the current average battery temperature change rate is directly used as the global state correction coefficient through table lookup. Furthermore, to improve the accuracy of the global state correction coefficient, the two correction coefficients closest to the current average battery temperature and the current average battery temperature change rate can also be obtained through table lookup from Table 2, and then the final global state correction coefficient can be obtained through linear interpolation. The present invention is not limited to this.

[0126] The embodiment of the present invention improves the accuracy of the global state correction coefficient by calibrating the global state correction coefficient corresponding to different battery average temperatures and different battery average temperature change rates, so that the global state correction coefficient can fully cover the actual thermal management requirements of the entire battery pack, further improving the accuracy of battery thermal management.

[0127] Step S2032: determining an environmental correction coefficient based on the current ambient temperature and the current ambient road conditions.

[0128] Furthermore, the above step S2032 includes:

[0129] Step b1, calibrating the environmental correction coefficients corresponding to different ambient temperatures and different ambient road conditions, and obtaining the corresponding relationship between the ambient temperature, ambient road conditions and the environmental correction coefficients.

[0130] For example, by calibrating the correction coefficients of the battery thermal management parameters corresponding to different ambient temperatures and different ambient road conditions, an environmental correction matrix E is obtained. The environmental correction matrix E is a two-dimensional table of correction coefficients of the battery thermal management parameters determined by the ambient temperature and ambient road conditions, as shown in Table 3. e represents the ambient temperature, h represents the road condition information, and the specific values ​​in Table 3 are application examples and can be adjusted according to actual applications. e in the table represents the environmental correction coefficient, which is determined through calibration.

[0131] Table 3 Environmental correction matrix E

[0132]

[0133] Step b2: determining the environmental correction coefficient corresponding to the current ambient temperature and the current ambient road condition based on the corresponding relationship among the ambient temperature, the ambient road condition and the environmental correction coefficient.

[0134] For example, the correction coefficient in Table 3 that is closest to the current ambient temperature and current ambient road conditions is directly used as the environmental correction coefficient through table lookup. Furthermore, to improve the accuracy of the environmental correction coefficient, the two correction coefficients closest to the current ambient temperature and current ambient road conditions can also be obtained through table lookup from Table 3, and then the final environmental correction coefficient can be obtained through linear interpolation. The present invention is not limited to this.

[0135] The embodiment of the present invention improves the accuracy of the environmental correction coefficient by calibrating the environmental correction coefficient corresponding to different ambient temperatures and different environmental road conditions, so that the environmental correction coefficient can truly reflect the impact of the driving environment on battery thermal management, and the final thermal management strategy can adapt to the normal driving environment, further improving the accuracy of battery thermal management.

[0136] Step S2033: Determine a driving style correction coefficient based on the current driving style.

[0137] Furthermore, the above step S2033 includes:

[0138] In step c1, the driving style correction coefficients corresponding to different driving styles are calibrated to obtain a corresponding relationship between the driving styles and the driving style correction coefficients.

[0139] For example, by calibrating the correction coefficients of the battery thermal management parameters corresponding to different driving styles, a corresponding relationship between driving styles and driving style correction coefficients is obtained. For example, when the driving style is aggressive, the driving style correction coefficient m=α; when the driving style is normal, the driving style correction coefficient m=1. This is only an example and the present invention is not limited to this.

[0140] Step c2: determining a driving style correction coefficient corresponding to the current driving style based on the corresponding relationship between the driving style and the driving style correction coefficient.

[0141] The embodiments of the present invention improve the accuracy of the driving style correction coefficient by calibrating the driving style correction coefficient corresponding to different driving styles. This allows the driving style correction coefficient to truly reflect the impact of driving style on battery thermal management, allowing the final thermal management strategy to adapt to the driving styles of different drivers, thereby improving the accuracy of battery thermal management.

[0142] In step S2034, the basic control parameters are jointly corrected based on the global state correction coefficient, the environment correction coefficient, and the driving style correction coefficient to obtain the target control parameters.

[0143] For example, the target control parameter k ad The calculation formula is as follows:

[0144] k ad =b*w*e*m (1)

[0145] Among them, b represents the basic control parameter of the above-mentioned battery thermal management system, w represents the above-mentioned global state correction coefficient, e represents the above-mentioned environment correction coefficient, and m represents the above-mentioned driving style correction coefficient.

[0146] In addition, in practical applications, the target control parameter may be obtained by summing the global state correction coefficient and the environment correction coefficient, i.e., the driving style correction coefficient, and then multiplying the sum by the basic control parameter. The present invention is not limited thereto.

[0147] The present invention uses the average battery temperature and the average temperature change rate as correction factors for the thermal management strategy, which can reflect the temperature state changes of the entire battery pack. While formulating the thermal management strategy based on the maximum battery temperature and the maximum temperature change rate, the thermal management strategy can cover the actual temperature conditions of the entire battery pack. By using the current ambient temperature and the current ambient road conditions as correction factors for the thermal management strategy, the impact of the external environment on the battery operation during the actual operation of the vehicle can be reflected, so that the thermal management strategy can conform to the operating state of the actual vehicle under the real environment. In addition, by using the driver's driving style as a correction factor for the thermal management strategy, the impact of the driver's driving style on the battery operation during the actual operation of the vehicle can be reflected, so that the thermal management strategy can conform to the driver's personalized driving style, thereby improving the comprehensiveness and accuracy of battery thermal management.

[0148] Step S204 : performing battery thermal management control based on the target control parameters.

[0149] For example, taking liquid cooling as an example for battery thermal management, the target control parameters correspond to the target temperature and target flow rate of the coolant, and the coolant is controlled according to the target temperature and target flow rate to cool the power battery.

[0150] Step S205 , determining whether the current maximum battery temperature is greater than a preset temperature threshold.

[0151] The preset temperature threshold is the minimum temperature value that affects the battery power limit, which is set according to the actual needs of the battery. When the battery exceeds this temperature, continuing high-power charging and discharging will affect the battery safety and service life.

[0152] Step S206 : when the current maximum battery temperature is greater than a preset temperature threshold, obtaining a preset power limit value, and determining a power limit value correction coefficient based on the current maximum battery temperature and the current maximum battery temperature change rate.

[0153] The preset power limit is the maximum charge and discharge power allowed for normal operation of the battery, which is determined based on the battery's own performance parameters.

[0154] For example, by calibrating the power limit correction coefficients corresponding to different battery maximum temperatures and battery maximum temperature change rates, a power limit correction matrix C is obtained. The power limit correction matrix C is a two-dimensional table of battery maximum temperature, battery maximum temperature change rate and power limit correction coefficient, as shown in Table 4. In Table 4, t bmax Represents the maximum temperature of the battery, r btmax Represents the maximum battery temperature change rate. The specific values ​​in the following table are application examples and can be adjusted according to actual application. c in the table represents the power limit correction coefficient, which is determined through calibration.

[0155] Table 4 Power limit correction matrix C

[0156]

[0157] Then, the power limit correction coefficient corresponding to the current maximum battery temperature and the current maximum battery temperature change rate can be determined by looking up the table in Table 4. The power limit correction coefficient can also be determined by looking up the table and combining linear interpolation. The present invention is not limited to this.

[0158] Step S207: Correct the preset power limit based on the power limit correction coefficient to obtain a target power limit.

[0159] For example, the target power limit p is calculated by the following formula: ad :

[0160] p ad =p blim *c (2)

[0161] Among them, p blim represents the above-mentioned preset power limit, and c represents the above-mentioned power limit correction coefficient.

[0162] Step S208: adjusting the battery power of the power battery based on the target power limit.

[0163] Specifically, by controlling the charge and discharge power to not exceed the target power limit during the battery charge and discharge process, the battery operation safety is ensured and the battery overheating and runaway situation is avoided.

[0164] The embodiments of the present invention perform adaptive thermal management of the battery while precisely controlling the heat generation source. The battery power limit is dynamically corrected based on different vehicle states, namely the maximum battery temperature and the current rate of change of the maximum battery temperature. This avoids the existing "one-size-fits-all" approach and achieves precise derating at the heat generation source, maximizing driving comfort while maintaining thermal safety and improving the user experience.

[0165] The specific working principle and working process of the battery adaptive thermal management solution provided by the embodiment of the present invention will be described in detail below with reference to specific application examples.

[0166] The battery adaptive thermal management method provided in the above embodiment is used to build an adaptive thermal management system, such as Figure 3 As shown, the system includes: a vehicle status module 1, an environment module 2, a driving style module 3, a battery body 4, and a thermal management module 5.

[0167] Vehicle status module 1 is used to collect the power battery temperature. This temperature is not limited to the maximum battery temperature, but includes the collected temperature sets at various locations. The maximum battery temperature change rate is calculated based on the maximum battery temperature, and the average battery temperature change rate is calculated based on the average battery temperature.

[0168] Environmental module 2 is used to collect vehicle ambient temperature, mountainous or plain environmental road condition information (obtained through altitude changes when there is no direct information). When the vehicle navigation is turned on or running in the background, it constantly obtains the next moment's road condition information to determine the environmental road condition.

[0169] The driving style module 3 is used to collect the accelerator pedal opening signal, calculate the accelerator pedal signal change rate based on the accelerator pedal opening signal, and then calculate the number of aggressive driving per unit mileage to determine the driving style.

[0170] The battery body 4, including battery cells, connection components and power control components, is the source of battery heat.

[0171] Thermal management module 5 includes cooling modes including air cooling, liquid cooling, and direct cooling. Air cooling achieves cooling by controlling the fan speed to adjust the air intake volume; liquid cooling achieves cooling by adjusting the coolant flow and temperature; and direct cooling achieves cooling by adjusting the refrigerant flow and temperature. These cooling activation conditions and control parameters are adaptive. In practical applications, the specific functions of thermal management module 5 can be implemented by the vehicle controller.

[0172] The specific implementation steps of the adaptive battery thermal management strategy are as follows:

[0173] The vehicle status module 1 collects the battery temperature, obtains the maximum temperature information and the average temperature information of the collected temperatures at various locations, and calculates the temperature change rate corresponding to the maximum battery temperature and the average temperature change rate of the collected temperatures at various locations. The environment module 2 detects the ambient temperature, geographic location information, and the next road condition information. The driving style module 3 calculates the accelerator pedal change rate.

[0174] Thermal management control parameters and activation conditions are determined by the battery's maximum temperature and temperature change rate, respectively. Unlike related technologies, these values ​​are fixed across all scenarios. A vehicle state correction matrix is ​​determined based on the maximum temperature, average temperature, maximum temperature change rate, and average temperature change rate. An environmental correction matrix is ​​determined based on ambient temperature, geographic location, and upcoming road conditions. This environmental correction matrix may, under certain conditions, include future road condition predictions. A driving style correction matrix is ​​determined based on the current accelerator pedal change rate. These three matrixes, the vehicle state correction matrix, and the driving style correction matrix, collectively influence the thermal management control parameters and activation conditions. If necessary, they also influence the power control unit of the battery 4, simultaneously addressing the source of heat generation and adaptively adjusting the power limit.

[0175] For example, the specific thermal management process of the above-mentioned adaptive thermal management system is as follows: Figure 4 shown.

[0176] S11, battery temperature collection;

[0177] S12, determining the maximum temperature of the battery;

[0178] S13, calculating the maximum temperature change rate of the battery;

[0179] S14, look up the thermal management basic matrix B, which is the above-mentioned Table 1;

[0180] S15, outputting a thermal management control parameter base value b.

[0181] S11, battery temperature collection;

[0182] S16, determining the average battery temperature;

[0183] S17, calculating the average battery temperature change rate;

[0184] S18, look up the global state correction matrix W, which is the above-mentioned Table 2;

[0185] S19, output the global state correction coefficient w.

[0186] S20, ambient temperature collection;

[0187] S21, environmental road condition acquisition;

[0188] S22, determining whether the vehicle navigation is turned on;

[0189] S23, navigation is turned on, and the environmental road condition information is assigned to the next road condition information, for example, hi is assigned to 1 when the road is flat, and hi is assigned to the uphill mileage when the road is uphill;

[0190] S24, navigation is not turned on, and the road condition information is assigned to the initial value of the environmental road condition, such as: when the environmental road condition is a flat road, hi is assigned a value of 1, and when the environmental road condition is a mountain road, hi is assigned a default value H: 1.01;

[0191] S25, look up the environmental correction matrix E, which is the above-mentioned Table 3;

[0192] S26, output the environmental correction coefficient e.

[0193] S27, accelerator pedal opening acquisition;

[0194] S28, determining the rate of change of the accelerator pedal opening;

[0195] S29, determining whether the accelerator pedal opening change rate is ≥ A1;

[0196] S30, if the conditions are met, the driving aggressiveness value increases by 1;

[0197] S31, if not satisfied, the driving aggressiveness number remains unchanged;

[0198] S32, determining whether the number of aggressive driving per unit mileage is ≥ N;

[0199] S33, if the conditions are met, driving style correction coefficient m = α;

[0200] S34, if the condition is not met, driving style correction coefficient m = 1;

[0201] S35: Output driving style correction coefficient m.

[0202] S36 , calculating and outputting a thermal management adaptive control parameter value based on the thermal management control parameter base value b, the global state correction value w, the environment correction value e, and the driving style correction coefficient m.

[0203] At the same time, the thermal management strategy of the present invention also takes measures from the source of heat generation: adaptively adjusting the power limit. Figure 4 As shown, specifically including:

[0204] S37, based on the maximum battery temperature and change rate, look up the power limit correction matrix C, which is Table 4 above;

[0205] S38, determining whether the maximum battery temperature is less than or equal to a set value;

[0206] S39, if the conditions are not met, the power will be adjusted to obtain the power limit base value;

[0207] S40, obtaining a power limit correction coefficient c;

[0208] S41, calculating and determining an adaptive power limit;

[0209] S42: If the conditions are met, the power is not adjusted.

[0210] The embodiments of the present invention propose a thermal management system and strategy that can achieve self-learning and self-adaptation by combining human, vehicle, and environmental factors. The product is highly platform-based, can adapt to extremely cold and hot environments, and covers global application scenarios. Compared with existing technologies, it has the following beneficial effects.

[0211] (1) The embodiment of the present invention determines the thermal management control parameters and actuation conditions based on the dual factors of the battery's maximum temperature and the temperature change rate, and makes real-time corrections based on the vehicle's status, environment, and driving style. Compared with the related technologies that generally use fixed value solutions for all scenarios, the embodiment of the present invention can achieve precise control of the thermal management system, minimize energy consumption, and achieve self-adaptation of the thermal management system while meeting the battery's thermal management performance.

[0212] (2) The embodiments of the present invention not only accurately and dynamically correct thermal management parameters, but also accurately control the source of heat generation. The power limit is dynamically corrected according to different vehicle states, avoiding the existing "one-size-fits-all" model and achieving accurate derating from the source of heat generation, thereby maximizing driving comfort while maintaining thermal safety.

[0213] (3) The embodiment of the present invention determines whether the battery needs thermal management actuation not only by collecting the maximum temperature through relevant technologies, but also by determining the temperature change rate, thereby avoiding the limitation of single-factor decision-making.

[0214] (4) The embodiments of the present invention can make thermal management parameter controls as early as possible according to the vehicle status, environment, and driving style, and take action in advance, which is more timely and can effectively avoid loss of control due to excessive temperature rise.

[0215] (5) The adaptive thermal management system and strategy proposed in the embodiment of the present invention utilizes the existing hardware platform and can be implemented by optimizing the system strategy and software without increasing the hardware cost of the power battery system.

[0216] This embodiment also provides a battery adaptive thermal management device, which is used to implement the above-mentioned embodiments and preferred embodiments. Details that have already been described will not be repeated. As used below, the term "module" may refer to a combination of software and / or hardware that implements a predetermined function. Although the devices described in the following embodiments are preferably implemented in software, implementation in hardware, or a combination of software and hardware, is also possible and contemplated.

[0217] The embodiment of the present invention provides a battery adaptive thermal management device, such as Figure 5 As shown, the device includes:

[0218] Acquisition module 501 is used to obtain battery temperature data of the power battery, and obtain the current ambient temperature of the vehicle, the current ambient road conditions, and the current driving style. The battery temperature data includes: the current maximum battery temperature, the current maximum battery temperature change rate, the current average battery temperature, and the current average battery temperature change rate;

[0219] A first processing module 502 is configured to determine basic control parameters for battery thermal management based on a current maximum battery temperature and a current rate of change of the maximum battery temperature;

[0220] The second processing module 503 is used to modify the basic control parameters based on the current average battery temperature, the current average battery temperature change rate, the current ambient temperature, the current ambient road conditions and the current driving style to obtain the target control parameters;

[0221] The third processing module 504 is configured to perform battery thermal management control based on the target control parameter.

[0222] In some optional implementations, the first processing module 502 includes:

[0223] The first processing unit is used to calibrate battery thermal management parameters corresponding to different battery maximum temperatures and different battery maximum temperature change rates, and obtain a corresponding relationship between the battery maximum temperature, the battery maximum temperature change rate and the battery thermal management parameters;

[0224] The second processing unit is used to determine basic control parameters corresponding to the current maximum battery temperature and the current maximum battery temperature change rate based on the corresponding relationship between the maximum battery temperature, the maximum battery temperature change rate and the battery thermal management parameters.

[0225] In some optional implementations, the second processing module 503 includes:

[0226] a third processing unit, configured to determine a global state correction coefficient based on a current average battery temperature and a current average battery temperature change rate;

[0227] A fourth processing unit is used to determine an environmental correction coefficient based on the current ambient temperature and the current ambient road conditions;

[0228] a fifth processing unit, configured to determine a driving style correction coefficient based on the current driving style;

[0229] The sixth processing unit is configured to jointly correct the basic control parameters based on the global state correction coefficient, the environment correction coefficient, and the driving style correction coefficient to obtain target control parameters.

[0230] In some optional implementations, the third processing unit includes:

[0231] The first processing subunit is used to calibrate the global state correction coefficient corresponding to different battery average temperatures and different battery average temperature change rates, and obtain the corresponding relationship between the battery average temperature, the battery average temperature change rate and the global state correction coefficient;

[0232] The second processing subunit is configured to determine a global state correction coefficient corresponding to the current battery average temperature and the current battery average temperature change rate based on a correspondence between the battery average temperature, the battery average temperature change rate and the global state correction coefficient.

[0233] In some optional implementations, the fourth processing unit includes:

[0234] The third processing sub-unit is used to calibrate the environmental correction coefficients corresponding to different ambient temperatures and different ambient road conditions, and obtain the corresponding relationship between the ambient temperature, ambient road conditions and the environmental correction coefficients;

[0235] The fourth processing subunit is used to determine the environmental correction coefficient corresponding to the current ambient temperature and the current ambient road condition based on the corresponding relationship between the ambient temperature, the ambient road condition and the environmental correction coefficient.

[0236] In some optional implementations, the fifth processing unit includes:

[0237] a fifth processing subunit, configured to calibrate driving style correction coefficients corresponding to different driving styles to obtain a corresponding relationship between the driving styles and the driving style correction coefficients;

[0238] The sixth processing subunit is configured to determine a driving style correction coefficient corresponding to the current driving style based on a correspondence between the driving style and the driving style correction coefficient.

[0239] In some optional embodiments, the battery adaptive thermal management device further includes:

[0240] A fourth processing module is used to determine whether the current maximum battery temperature is greater than a preset temperature threshold;

[0241] a fifth processing module, configured to obtain a preset power limit when the current maximum battery temperature is greater than a preset temperature threshold, and determine a power limit correction coefficient based on the current maximum battery temperature and a rate of change of the current maximum battery temperature;

[0242] a sixth processing module, configured to correct the preset power limit based on the power limit correction coefficient to obtain a target power limit;

[0243] The seventh processing module is configured to adjust the battery power of the power battery based on the target power limit.

[0244] In some optional embodiments, the acquisition module 501 is specifically used to monitor the accelerator pedal opening of the vehicle and calculate the accelerator pedal opening change rate corresponding to each sampling moment within a unit mileage; count the number of current sampling moments at which the accelerator pedal opening change rate is not less than a preset accelerator pedal opening change rate threshold; and determine the current driving style corresponding to the current number of sampling moments based on the correspondence between the preset number of sampling moments and the driving style.

[0245] In some optional embodiments, the acquisition module 501 is further configured to detect whether the vehicle navigation function is enabled; if so, to obtain the vehicle's current environmental road conditions from a navigation map; and if not, to collect environmental data surrounding the vehicle via onboard sensors and analyze the environmental data to obtain the vehicle's current environmental road conditions.

[0246] The further functional description of each of the above modules and units is the same as that of the above corresponding method embodiments and will not be repeated here.

[0247] The embodiment of the present invention further provides a vehicle, which is provided with a power battery and includes a controller, such as Figure 6 As shown, the controller includes: one or more processors 10, a memory 20, and interfaces for connecting various components, including high-speed interfaces and low-speed interfaces. The various components utilize different buses to communicate with each other and can be installed on a common mainboard or installed in other ways as needed. The processor can process instructions executed in the computer device, including instructions stored in or on the memory to display graphical information of a GUI on an external input / output device (such as a display device coupled to the interface). In some optional embodiments, if necessary, multiple processors and / or multiple buses can be used together with multiple memories and multiple memories. Similarly, multiple computer devices can be connected, and each device provides some necessary operations (for example, as a server array, a group of blade servers, or a multi-processor system). Figure 6 A processor 10 is taken as an example.

[0248] The processor 10 may be a central processing unit, a network processor, or a combination thereof. The processor 10 may further include a hardware chip. The hardware chip may be an application-specific integrated circuit, a programmable logic device, or a combination thereof. The programmable logic device may be a complex programmable logic device, a field programmable gate array, a general purpose array logic, or any combination thereof.

[0249] The memory 20 stores instructions that can be executed by at least one processor 10, so as to enable at least one processor 10 to execute the method shown in the above embodiment.

[0250] The memory 20 may include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application required for at least one function; the data storage area may store data created based on the use of a computer device for displaying a small program landing page, etc. In addition, the memory 20 may include a high-speed random access memory, and may also include a non-transient memory, such as at least one disk storage device, a flash memory device, or other non-transient solid-state storage device. In some optional embodiments, the memory 20 may optionally include a memory remotely located relative to the processor 10, and these remote memories may be connected to the computer device via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and a combination thereof.

[0251] The memory 20 may include a volatile memory, such as a random access memory; the memory may also include a non-volatile memory, such as a flash memory, a hard disk or a solid-state drive; the memory 20 may also include a combination of the above types of memory.

[0252] The controller further includes a communication interface 30 for the vehicle to communicate with other devices or a communication network.

[0253] The embodiment of the present invention also provides a computer-readable storage medium. The above-mentioned method according to the embodiment of the present invention can be implemented in hardware, firmware, or implemented as a computer code that can be recorded in a storage medium, or implemented as a computer code that is originally stored in a remote storage medium or a non-temporary machine-readable storage medium and downloaded through a network and will be stored in a local storage medium, so that the method described herein can be stored in such software processing on a storage medium using a general-purpose computer, a dedicated processor, or programmable or dedicated hardware. Among them, the storage medium can be a magnetic disk, an optical disk, a read-only storage memory, a random access memory, a flash memory, a hard disk or a solid-state drive, etc.; further, the storage medium can also include a combination of the above-mentioned types of memory. It can be understood that a computer, a processor, a microprocessor controller or programmable hardware includes a storage component that can store or receive software or computer code. When the software or computer code is accessed and executed by a computer, a processor or hardware, the method shown in the above embodiment is implemented.

[0254] A portion of the present invention may be applied as a computer program product, such as a computer program instruction, which, when executed by a computer, can call or provide the method and / or technical solution according to the present invention through the operation of the computer. Those skilled in the art should understand that the form in which the computer program instruction exists in a computer-readable medium includes, but is not limited to, a source file, an executable file, an installation package file, etc. Accordingly, the way in which the computer program instruction is executed by the computer includes, but is not limited to: the computer directly executes the instruction, or the computer compiles the instruction and then executes the corresponding compiled program, or the computer reads and executes the instruction, or the computer reads and installs the instruction and then executes the corresponding installed program. Here, the computer-readable medium may be any available computer-readable storage medium or communication medium that can be accessed by the computer.

[0255] Although the embodiments of the present invention have been described with reference to the accompanying drawings, those skilled in the art may make various modifications and variations without departing from the spirit and scope of the present invention. Such modifications and variations are all within the scope defined by the appended claims.

Claims

1. A battery adaptive thermal management method, applied to a vehicle equipped with a power battery, characterized in that: The method comprises: Obtain battery temperature data of the power battery, and obtain the current ambient temperature of the vehicle, current ambient road conditions, and current driving style. The battery temperature data includes: current maximum battery temperature, current maximum battery temperature change rate, current average battery temperature, and current average battery temperature change rate; determining a basic control parameter for battery thermal management based on the current maximum battery temperature and the current maximum battery temperature change rate; Correcting the basic control parameters based on the current average battery temperature, the current average battery temperature change rate, the current ambient temperature, the current ambient road conditions, and the current driving style to obtain target control parameters; Battery thermal management control is performed based on the target control parameter.

2. The method according to claim 1, characterized in that The determining of the basic control parameters of the battery thermal management based on the current maximum battery temperature and the current maximum battery temperature change rate includes: The battery thermal management parameters corresponding to different battery maximum temperatures and different battery maximum temperature change rates are calibrated to obtain the corresponding relationship between the battery maximum temperature, the battery maximum temperature change rate and the battery thermal management parameters; Based on the corresponding relationship between the battery maximum temperature, the battery maximum temperature change rate and the battery thermal management parameters, basic control parameters corresponding to the current battery maximum temperature and the current battery maximum temperature change rate are determined.

3. The method according to claim 2, characterized in that The modifying of the basic control parameters based on the current average battery temperature, the current average battery temperature change rate, the current ambient temperature, the current ambient road condition, and the current driving style to obtain target control parameters includes: determining a global state correction coefficient based on the current battery average temperature and the current battery average temperature change rate; Determining an environmental correction coefficient based on the current ambient temperature and the current ambient road conditions; determining a driving style correction factor based on the current driving style; The basic control parameters are jointly corrected based on the global state correction coefficient, the environment correction coefficient, and the driving style correction coefficient to obtain target control parameters.

4. The method according to claim 3, characterized in that The determining of the global state correction coefficient based on the current battery average temperature and the current battery average temperature change rate includes: The global state correction coefficients corresponding to different battery average temperatures and different battery average temperature change rates are calibrated to obtain the corresponding relationship between the battery average temperature, the battery average temperature change rate and the global state correction coefficient; Based on the corresponding relationship between the battery average temperature, the battery average temperature change rate and the global state correction coefficient, the global state correction coefficient corresponding to the current battery average temperature and the current battery average temperature change rate is determined.

5. The method according to claim 3, characterized in that The determining of the environmental correction coefficient based on the current ambient temperature and the current ambient road condition includes: Calibrate the environmental correction coefficients corresponding to different ambient temperatures and different ambient road conditions to obtain the corresponding relationship between ambient temperature, ambient road conditions and environmental correction coefficients; Based on the corresponding relationship between the ambient temperature, the ambient road condition and the ambient correction coefficient, the ambient correction coefficient corresponding to the current ambient temperature and the current ambient road condition is determined.

6. The method according to claim 3, characterized in that The determining of the driving style correction coefficient based on the current driving style includes: Calibrate the driving style correction coefficients corresponding to different driving styles to obtain the corresponding relationship between the driving styles and the driving style correction coefficients; Based on the corresponding relationship between the driving style and the driving style correction coefficient, a driving style correction coefficient corresponding to the current driving style is determined.

7. The method according to any one of claims 1 to 6, characterized in that The method further comprises: Determining whether the current maximum battery temperature is greater than a preset temperature threshold; When the current maximum battery temperature is greater than a preset temperature threshold, obtaining a preset power limit value, and determining a power limit value correction coefficient based on the current maximum battery temperature and a change rate of the current maximum battery temperature; Correcting the preset power limit based on the power limit correction coefficient to obtain a target power limit; The battery power of the power battery is adjusted based on the target power limit.

8. The method according to any one of claims 1 to 6, characterized in that Get the vehicle's current driving style, including: Monitor the vehicle's accelerator pedal opening and calculate the accelerator pedal opening change rate corresponding to each sampling moment within the unit mileage; Counting the number of current sampling moments at which the accelerator pedal opening change rate is not less than a preset accelerator pedal opening change rate threshold; Based on the correspondence between the preset number of sampling moments and the driving style, a current driving style corresponding to the current number of sampling moments is determined.

9. The method according to any one of claims 1 to 6, characterized in that The obtaining of the current environmental road condition of the vehicle includes: Detect whether the vehicle navigation function is turned on; When the vehicle navigation function is turned on, the vehicle's current environmental road conditions are obtained from the navigation map.

10. The method according to claim 9, characterized in that The method further comprises: When the vehicle navigation function is not turned on, the vehicle's surrounding environmental data is collected through the vehicle's onboard sensors; The environmental data is analyzed to obtain the current environmental road conditions of the vehicle.

11. A battery adaptive thermal management device, applied to a vehicle equipped with a power battery, characterized in that: The device comprises: An acquisition module is used to obtain battery temperature data of the power battery and the current ambient temperature, current ambient road conditions, and current driving style of the vehicle. The battery temperature data includes: the current maximum battery temperature, the current maximum battery temperature change rate, the current average battery temperature, and the current average battery temperature change rate; a first processing module, configured to determine basic control parameters for battery thermal management based on the current maximum battery temperature and the current maximum battery temperature change rate; a second processing module, configured to modify the basic control parameters based on the current average battery temperature, the current average battery temperature change rate, the current ambient temperature, the current ambient road conditions, and the current driving style to obtain target control parameters; A third processing module is configured to perform battery thermal management control based on the target control parameter.

12. A vehicle provided with a power battery, characterized in that: The vehicle includes a controller, the controller including: A memory and a processor, wherein the memory and the processor are communicatively connected to each other, the memory stores computer instructions, and the processor executes the method according to any one of claims 1 to 10 by executing the computer instructions.

13. A computer-readable storage medium, characterized in that The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a computer to execute the method according to any one of claims 1 to 10.

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