A vehicle thermal management control method and device, electronic equipment and storage medium

Abstract

The present application provides a kind of vehicle thermal management control method, device, electronic equipment and storage medium, the vehicle use data of recent preset time period of real-time acquisition vehicle is analyzed, according to the multiple target vehicle operating characteristics determined from each vehicle operating characteristic pre-set and vehicle use data matching, from each user portrait pre-set, determine the target user portrait corresponding to vehicle use data;According to the corresponding relationship between the user portrait pre-set and thermal management control mode, determine the target thermal management control mode matched with the target user portrait from each thermal management control mode pre-set;According to the target parameter value corresponding to each parameter indicated by target thermal management control mode, the parameter value of the corresponding parameter on the control program on the terminal of vehicle is updated.The present application can keep the optimal state of vehicle battery thermal management effect in various vehicle operating modes for different use scenarios.

Description

Technical Field

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

[0002] As is well known, temperature has a significant impact on the charging and discharging performance of power battery packs in new energy vehicles. In order to ensure that the power battery pack meets the charging and discharging requirements of the vehicle, a thermal management system is needed to manage the temperature of the power battery pack.

[0003] Existing thermal management control methods can adjust the temperature of the power battery by setting a corresponding thermal management control mode in the heat exchange device of the vehicle's thermal management system for regulating the power battery temperature.

[0004] However, for the same vehicle model, the usage scenarios of different users may vary greatly. This thermal management control method cannot adapt to the different usage scenarios of the vehicle, so it cannot keep the vehicle in the best condition under any usage scenario. Summary of the Invention

[0005] In view of this, the present invention provides a vehicle thermal management control method, device, electronic device and storage medium, with the aim of ensuring that the vehicle performance is always kept in the best state under different usage scenarios.

[0006] The first aspect of this invention discloses a vehicle thermal management control method applied to a big data computing platform, the method comprising:

[0007] Real-time acquisition of vehicle usage data within the most recent preset time period;

[0008] The vehicle usage data is analyzed to determine multiple target vehicle operating features that match the vehicle usage data from a set of pre-defined vehicle operating features; wherein each of the vehicle operating features is pre-defined based on historical vehicle usage data.

[0009] Based on the multiple target vehicle operation characteristics, determine the target user profile corresponding to the vehicle usage data from each pre-set user profile;

[0010] Based on the pre-set correspondence between the user profile and the thermal management control method, a target thermal management control method that matches the target user profile is determined from the pre-set thermal management control methods.

[0011] Based on the target parameter values ​​corresponding to each parameter indicated by the target thermal management control method, the parameter values ​​of the corresponding parameters on the control program on the vehicle's terminal are updated.

[0012] Optionally, before updating the parameter values ​​of the corresponding parameters on the control program on the vehicle's terminal according to the target parameter values ​​indicated by the target thermal management control mode, the method further includes:

[0013] Obtain the geographic information corresponding to the vehicle within the most recent preset time period;

[0014] Based on the regional information, the target parameter values ​​corresponding to each parameter indicated by the target thermal management control method are corrected to obtain the first final value of each parameter;

[0015] The step of updating the parameter values ​​of the corresponding parameters in the control program on the vehicle's terminal according to the target parameter values ​​corresponding to each parameter indicated by the target thermal management control method includes:

[0016] Based on the first final value corresponding to each parameter indicated by the target thermal management control mode, the parameter values ​​of the corresponding parameters on the control program on the vehicle's terminal are updated.

[0017] Optionally, before updating the parameter values ​​of the corresponding parameters on the control program on the vehicle's terminal according to the target parameter values ​​indicated by the target thermal management control mode, the method further includes:

[0018] Obtain the current time information of the vehicle's operation; wherein, the current time information is the operating time period of the vehicle within one year;

[0019] Based on the current time information, the target parameter values ​​corresponding to each parameter indicated by the target thermal management control mode are corrected to obtain the second final value of each parameter;

[0020] The step of updating the parameter values ​​of the corresponding parameters in the control program on the vehicle's terminal according to the target parameter values ​​corresponding to each parameter indicated by the target thermal management control method includes:

[0021] Based on the second final value corresponding to each parameter indicated by the target thermal management control mode, the parameter values ​​of the corresponding parameters on the control program on the vehicle's terminal are updated.

[0022] Optionally, the operating period can be divided into 12 months or the four seasons of spring, summer, autumn and winter.

[0023] Optionally, the vehicle usage data includes at least mileage data, fast and slow charging data, and vehicle speed data. The step of analyzing the vehicle usage data and determining multiple target vehicle operating characteristics matching the vehicle usage data from a pre-set set of vehicle operating characteristics includes:

[0024] The vehicle speed data, fast and slow charging data, and mileage data are analyzed respectively, and multiple target vehicle operating characteristics that match the vehicle usage data are determined from a set of pre-set vehicle operating characteristics.

[0025] Optionally, the pre-set vehicle operating characteristics include urban type, highway type, urban / highway hybrid type, fast charging type, slow charging type, fast / slow charging hybrid type, commercial type, and private type. The process involves analyzing the vehicle speed data, the fast / slow charging data, and the mileage data to determine multiple target vehicle operating characteristics matching the vehicle usage data from the pre-set vehicle operating characteristics, including:

[0026] If the daily average vehicle speed indicated in the vehicle speed data is within the preset vehicle speed range, the urban / highway hybrid type will be determined as the target vehicle operating characteristic for matching the vehicle usage data.

[0027] If the average daily vehicle speed is less than any speed within the preset speed range, the urban type will be determined as the target vehicle operating characteristic that matches the vehicle usage data.

[0028] If the average daily vehicle speed is greater than any speed within the preset speed range, the high-speed type will be determined as the target vehicle operating characteristic that matches the vehicle usage data.

[0029] If the number of fast charges within a preset time period in the fast and slow charging data is within a preset fast charging range, the fast charging type will be determined as the target vehicle operating characteristic that matches the vehicle usage data.

[0030] If the number of fast charges within the preset time period in the fast and slow charging data is not within the preset fast charging range, and / or the number of slow charges within the preset time period is not within the preset slow charging range, the fast / slow charging combined type is determined as the target vehicle operating characteristic that matches the vehicle usage data;

[0031] If the number of slow charges within the preset time period in the fast and slow charging data is within the preset slow charging range, the slow charging type will be determined as the target vehicle operating characteristic that matches the vehicle usage data.

[0032] If the daily mileage within the preset time period in the mileage data exceeds the first preset mileage, and the total mileage within the preset time period exceeds the second preset mileage, the operational type is determined as the target vehicle operating characteristic matching the vehicle usage data; wherein, the second preset mileage is greater than the first preset mileage;

[0033] If the daily mileage within the preset time period does not exceed the third preset mileage, and the total mileage within the preset time period does not exceed the fourth preset mileage, the private type is determined as the target vehicle operating characteristic matching the vehicle usage data; wherein, the first preset mileage is greater than the third preset mileage, and the second preset mileage is greater than the fourth mileage;

[0034] If the daily mileage within the preset time period does not exceed the first preset mileage but exceeds the third preset mileage, and the total mileage within the preset time period does not exceed the second preset mileage but exceeds the fourth preset mileage, then the private / operational dual-use type is determined as the target vehicle operating characteristic that matches the vehicle usage data.

[0035] Optionally, the pre-set user profiles include a first user profile, a second user profile, a third user profile, a fourth user profile, a fifth user profile, and a sixth user profile. The step of determining the target user profile corresponding to the vehicle usage data from the pre-set user profiles based on the multiple target vehicle operating characteristics includes:

[0036] If the operating characteristics of the multiple target vehicles are urban type, fast charging type, and operational type, the first user profile is determined as the target user profile corresponding to the vehicle usage data;

[0037] If the operating characteristics of the multiple target vehicles are the high-speed type, the fast type, and the operational type, the second user profile is determined as the target user profile corresponding to the vehicle usage data;

[0038] If the operating characteristics of the multiple target vehicles are urban type, slow charging type, and operational type, the third user profile is determined as the target user profile corresponding to the vehicle usage data;

[0039] If the operating characteristics of the multiple target vehicles are the slow-charging type and the private type, the fourth user profile is determined as the target user profile corresponding to the vehicle usage data;

[0040] If the operating characteristics of the multiple target vehicles are the fast-charging type and the operational type, the fifth user profile is determined as the target user profile corresponding to the vehicle usage data;

[0041] If the operating characteristics of the multiple target vehicles are the fast / slow charging type and the private / commercial type, the sixth user profile is determined as the target user profile corresponding to the vehicle usage data.

[0042] A second aspect of this invention discloses a vehicle thermal management control device applied to a big data processing platform, the device comprising:

[0043] The vehicle usage data acquisition unit is used to acquire vehicle usage data of vehicles within the most recent preset time period in real time.

[0044] The data analysis unit is used to analyze the vehicle usage data and determine at least one target vehicle operating feature that matches the vehicle usage data from a set of pre-set vehicle operating features; wherein each of the vehicle operating features is pre-set based on historical vehicle usage data.

[0045] The first determining unit is configured to determine, based on the at least one target vehicle operating characteristics, a target user profile corresponding to the vehicle usage data from a set of pre-defined user profiles.

[0046] The second determining unit is used to determine, based on the pre-set correspondence between user profiles and thermal management control methods, a target thermal management control method that matches the target user profile from the pre-set thermal management control methods.

[0047] The update unit is used to update the parameter values ​​of the corresponding parameters on the software of the vehicle's terminal according to the target parameter values ​​corresponding to each parameter indicated by the target thermal management control mode.

[0048] The third aspect of this invention discloses an electronic device, which includes a processor and a memory. The memory is used to store program code and data for vehicle thermal management control, and the processor is used to call the program instructions in the memory to execute a vehicle thermal management control method as disclosed in the first aspect of this invention.

[0049] A fourth aspect of the present invention discloses a storage medium, characterized in that the storage medium includes a stored program, wherein, when the program is executed, it controls the device where the storage medium is located to execute a vehicle thermal management control method as disclosed in the first aspect of the present invention.

[0050] This invention provides a vehicle thermal management control method, device, electronic device, and storage medium. It sets different vehicle operating characteristics based on historical vehicle usage scenarios and sets multiple corresponding user profiles for each vehicle operating characteristic, allowing each user profile to be configured with a corresponding thermal management control method. A big data computing platform acquires vehicle usage data within a recent preset time period in real time and analyzes the data to determine at least one target vehicle operating characteristic matching the data from the preset vehicle operating characteristics. Based on this target vehicle operating characteristic, it determines a target user profile corresponding to the vehicle usage data from the preset user profiles. Then, based on the correspondence between the preset user profiles and thermal management control methods, it determines a target thermal management control method matching the target user profile from the preset thermal management control methods. Finally, based on the target parameter values ​​corresponding to the parameters indicated by the target thermal management control method, it updates the parameter values ​​on the control program on the vehicle's terminal, thereby ensuring that the vehicle's performance remains at its optimal state under different usage scenarios. Attached Figure Description

[0051] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on the provided drawings without creative effort.

[0052] Figure 1 A schematic flowchart of a vehicle thermal management control method provided in an embodiment of the present invention;

[0053] Figure 2 An example diagram of data included in vehicle usage data provided in an embodiment of the present invention;

[0054] Figure 3 This is an example diagram illustrating the correspondence between vehicle operation characteristics and user profiles provided in an embodiment of the present invention;

[0055] Figure 4 This is a schematic diagram of the structure of a vehicle thermal management control device provided in an embodiment of the present invention;

[0056] Figure 5 This is a schematic diagram of the structure of an electronic device provided in an embodiment of the present invention. Detailed Implementation

[0057] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. 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 are within the scope of protection of the present invention.

[0058] The term "comprising" and its variations as used herein are open-ended inclusions, meaning "including but not limited to". The term "based on" means "at least partially based on". The term "one embodiment" means "at least one embodiment"; the term "another embodiment" means "at least one additional embodiment"; the term "some embodiments" means "at least some embodiments". Definitions of other terms will be given in the description below.

[0059] It should be noted that the concepts of "first" and "second" mentioned in this invention are only used to distinguish different devices, modules or units, and are not used to limit the order of functions performed by these devices, modules or units or their interdependencies.

[0060] It should be noted that the terms "a" and "a plurality of" used in this invention disclosure are illustrative rather than restrictive. Those skilled in the art should understand that, unless otherwise expressly indicated in the context, they should be understood as "one or more".

[0061] See Figure 1 The diagram illustrates a flowchart of a vehicle thermal management control method according to an embodiment of the present invention. This vehicle thermal management control method is applied to a big data computing platform and specifically includes the following steps:

[0062] S101: Real-time acquisition of vehicle usage data within the most recent preset time period.

[0063] During the specific execution of step S101, the vehicle's usage data is periodically downloaded from the vehicle monitoring platform through the vehicle's local terminal platform, so that the big data computing platform can obtain the corresponding vehicle usage data within the most recent preset time period from the vehicle's local terminal platform in real time.

[0064] It should be noted that the preset time period can be two months, three months, four months, etc.; that is, if the preset time period is three months, the vehicle usage data for the most recent vehicle within the preset time period can be the vehicle usage data for the most recent three months. This can be set according to actual application, and this application embodiment does not limit it.

[0065] In this embodiment of the application, vehicle usage data includes mileage data, fast and slow charging data, and vehicle speed data, such as... Figure 2As shown.

[0066] The fast and slow charging data includes both fast charging and slow charging data. Mileage data includes: vehicle mileage, daily mileage, daily highway mileage, daily urban mileage, and average daily mileage; fast charging data includes: number of fast charges per day, daily fast charging time period, initial SOC of a single fast charge, final SOC of a single fast charge, initial temperature of a single fast charge, and number of fast charges per week; slow charging data includes: number of slow charges per day, daily slow charging time period, initial SOC of a single slow charge, final SOC of a single slow charge, initial temperature of a single slow charge, and number of slow charges per week; vehicle speed data includes: average daily speed and maximum daily speed.

[0067] S102: Analyze vehicle usage data and determine multiple target vehicle operating characteristics that match the vehicle usage data from a set of pre-defined vehicle operating characteristics.

[0068] The operating characteristics of each vehicle are preset based on historical vehicle usage data.

[0069] In this embodiment, different vehicle usage data correspond to different vehicle scenarios, and thus multiple vehicle operation characteristics can be set based on historical vehicle usage data. These multiple vehicle operation characteristics include eight major vehicle operation characteristics: urban type, highway type, urban / highway hybrid type, fast charging type, slow charging type, fast / slow charging hybrid type, commercial type, and private type.

[0070] Specifically, by analyzing vehicle speed data from historical vehicle usage data, vehicles with daily average speeds within a preset speed range are identified as urban / highway hybrid vehicles; vehicles with daily average speeds below the preset speed range are identified as urban vehicles; and vehicles with daily average speeds above the preset speed range are identified as high-speed vehicles.

[0071] Analyzing historical vehicle usage data for both fast and slow charging, the following vehicle operating characteristics are identified: Fast charging frequency within a preset fast charging range and a preset historical time period corresponds to vehicle operating characteristics classified as fast charging type; slow charging frequency within a preset slow charging range and a preset historical time period corresponds to vehicle operating characteristics classified as slow charging type; and frequency that falls outside both the preset fast charging and slow charging ranges within a preset historical time period corresponds to vehicle operating characteristics classified as a hybrid fast / slow charging type. The preset historical time period can be one month.

[0072] By analyzing the mileage data in historical vehicle usage data, vehicles with mileage data where the daily mileage within a historical preset time period exceeds the first preset mileage and the total mileage within the historical preset time period exceeds the second preset mileage are identified as operating vehicles; vehicles with mileage data where the daily mileage within a historical preset time period does not exceed the third preset mileage and the total mileage within the historical preset time period does not exceed the fourth preset mileage are identified as operating vehicles; and vehicles with mileage data where the daily mileage within a historical preset time period does not exceed the first preset mileage but exceeds the third preset mileage, and the total mileage within the historical preset time period does not exceed the second preset mileage but exceeds the fourth preset mileage are identified as operating vehicles that are both operating vehicles and operating vehicles.

[0073] Among them, the first preset mileage is greater than the third preset mileage, and the second preset mileage is greater than the fourth mileage.

[0074] It should be noted that the first preset mileage can be 300km, the second preset mileage can be 8000km, the third preset mileage can be 50km, and the fourth preset mileage can be 1200km. These can be set according to actual conditions, and this application embodiment does not limit them.

[0075] The preset vehicle speed range can be 60km / h to 90km / h; the preset fast charging range can be 15 to 60km / h; and the preset slow charging range can be 20 to 60km / h. These settings can be adjusted according to actual conditions, and are not limited in this embodiment.

[0076] In the specific execution step S102, after obtaining the vehicle usage data, the vehicle speed data, fast and slow charging data, and mileage data in the vehicle usage data are analyzed respectively, and multiple target vehicle operating characteristics that match the vehicle usage data are determined from the pre-set vehicle operating characteristics.

[0077] Optionally, the system can determine whether the daily average speed indicated in the vehicle speed data is within a preset speed range. If the daily average speed indicated in the vehicle speed data is within the preset speed range, the urban / highway hybrid type is identified as the target vehicle operating characteristic for matching vehicle usage data. If the daily average speed indicated in the vehicle speed data is not within the preset speed range, the system can further determine whether the daily average speed is greater than any speed within the preset speed range. If the daily average speed is greater than any speed within the preset speed range, the highway type is identified as the target vehicle operating characteristic for matching vehicle usage data; otherwise, the urban type is identified as the target vehicle operating characteristic for matching vehicle usage data. In other words, if the daily average speed is less than any speed within the preset speed range, the urban type is identified as the target vehicle operating characteristic for matching vehicle usage data.

[0078] Determine whether the number of fast charges within a preset time period in the fast and slow charging data falls within a preset fast charging range, and whether the number of slow charges within a preset time period in the fast and slow charging data falls within a preset slow charging range. If the number of fast charges within a preset time period in the fast and slow charging data falls within the preset fast charging range, the fast charging type is determined as the target vehicle operating characteristic for matching vehicle usage data. If the number of fast charges within a preset time period in the fast and slow charging data does not fall within the preset fast charging range, and / or, the number of slow charges within a preset time period does not fall within the preset slow charging range, the fast / slow charging balanced type is determined as the target vehicle operating characteristic for matching vehicle usage data. If the number of slow charges within a preset time period in the fast and slow charging data falls within the preset slow charging range, the slow charging type is determined as the target vehicle operating characteristic for matching vehicle usage data.

[0079] Finally, the daily mileage and total mileage within a preset time period in the mileage data are analyzed. If the daily mileage within the preset time period does not exceed the third preset mileage and the total mileage within the preset time period does not exceed the fourth preset mileage, the private type is identified as the target vehicle operation characteristic for matching vehicle usage data. If the daily mileage within the preset time period does not exceed the first preset mileage but exceeds the third preset mileage, and the total mileage within the preset time period does not exceed the second preset mileage but exceeds the fourth preset mileage, the private / operational hybrid type is identified as the target vehicle operation characteristic for matching vehicle usage data.

[0080] S103: Based on at least one target vehicle operating characteristic, determine the target user profile corresponding to the vehicle usage data from various pre-set user profiles.

[0081] In this embodiment of the application, multiple user profiles can be further set based on pre-set vehicle operating characteristics. Specifically, such as... Figure 3 As shown, the user profiles corresponding to vehicle operation characteristics of operational, fast charging, and urban are set as the first user profile; the user profiles corresponding to vehicle operation characteristics of operational, fast charging, and highway are set as the second user profile; the user profiles corresponding to vehicle operation characteristics of operational, slow charging, and urban are set as the third user profile; the user profiles corresponding to vehicle operation characteristics of private and slow charging are set as the fourth user profile; the user profiles corresponding to vehicle operation characteristics of private and fast charging are set as the fifth user profile; and the user profiles corresponding to vehicle operation characteristics of both fast / slow charging and private / operational are set as the sixth user profile.

[0082] In the specific execution step S103, after determining multiple target vehicle operation features that match the vehicle usage data from the pre-set vehicle operation features, the target user profile corresponding to the vehicle usage data is further determined from the pre-set user profiles based on the correspondence between the pre-set vehicle operation features and user profiles.

[0083] Optionally, if multiple target vehicles have the following operating characteristics: urban, fast-charging, and operational, the first user profile is determined as the target user profile corresponding to the vehicle usage data; if multiple target vehicles have the following operating characteristics: highway, fast-charging, and operational, the second user profile is determined as the target user profile corresponding to the vehicle usage data; if multiple target vehicles have the following operating characteristics: urban, slow-charging, and operational, the third user profile is determined as the target user profile corresponding to the vehicle usage data; if multiple target vehicles have the following operating characteristics: slow-charging and private, the fourth user profile is determined as the target user profile corresponding to the vehicle usage data; if multiple target vehicles have the following operating characteristics: fast-charging and operational, the fifth user profile is determined as the target user profile corresponding to the vehicle usage data; if multiple target vehicles have the following operating characteristics: a combination of fast / slow charging and a combination of private / operational, the sixth user profile is determined as the target user profile corresponding to the vehicle usage data.

[0084] S104: Based on the pre-set correspondence between user profiles and thermal management control methods, determine the target thermal management control method that matches the target user profile from among the pre-set thermal management control methods.

[0085] In this embodiment of the application, for each user profile, the corresponding thermal management control method is preset, and the correspondence between the user profile and the corresponding thermal management control method is set.

[0086] Specifically, the thermal management control methods corresponding to the first user profile include waste heat recovery function, fast charging pre-cooling / preheating function, cooling threshold, and heating threshold; the cooling threshold includes fast charging entry threshold Ta1, fast charging exit threshold Ta2, driving entry threshold Ta3, driving exit threshold Ta4, slow charging entry threshold Ta5, and slow charging exit threshold Ta6; the heating threshold includes fast charging heating entry threshold Ta7, fast charging heating exit threshold Ta8, fast charging heating entry threshold Ta9, fast charging heating exit threshold Ta10, driving heating entry threshold Ta11, and driving heating entry and exit threshold Ta12.

[0087] Wherein, Ta1 can be 28℃, Ta2 can be 25℃, Ta3 can be 38℃, Ta4 can be 36℃, Ta5 can be 40℃, Ta6 can be 38℃, Ta7 can be 10℃, Ta8 can be 15℃, Ta9 can be 0℃, Ta10 can be 5℃, Ta11 can be -10℃, and Ta12 can be 0℃. These settings can be made according to actual circumstances, and this application embodiment does not impose any limitations.

[0088] The thermal management control methods corresponding to the second user profile include: waste heat recovery function, fast charging pre-cooling / preheating function, cooling threshold, and heating threshold; specifically, the cooling threshold includes fast charging entry threshold Tb1, fast charging exit threshold Tb2, driving entry threshold Tb3, driving exit threshold Tb4, driving slow charging entry threshold Tb5, and driving slow charging exit threshold Tb6; the heating threshold includes fast charging heating entry threshold Tb7, fast charging heating exit threshold Tb8, slow charging heating entry threshold Tb9, slow charging heating exit threshold Tb10, driving heating entry threshold Tb11, and driving heating exit threshold Tb12.

[0089] Among them, Tb1 can be 28℃, Tb2 can be 25℃, Tb3 can be 32℃, Tb4 can be 30℃, Tb5 can be 40℃, Tb6 can be 38℃, Tb7 can be 10℃, Tb8 can be 15℃, Tb9 can be 0℃, Tb10 can be 5℃, Tb11 can be -15℃, and Tb12 can be -5℃.

[0090] The thermal management control methods corresponding to the third user profile include waste heat recovery function, fast charging pre-cooling / preheating function, cooling threshold and heating threshold; cooling threshold includes fast charging entry threshold Tc1, fast charging exit threshold Tc2, driving entry threshold Tc3, driving exit threshold Tc4, slow charging entry threshold Tc5, slow charging exit threshold Tc6; heating threshold includes fast charging heating entry threshold Tc7, fast charging exit threshold Tc8, fast and slow charging heating entry threshold Tc9, heating exit threshold Tc10, driving heating entry threshold Tc11, driving heating exit threshold Tc12.

[0091] Among them, Tc1 can be 36℃, Tc2 can be 34℃, Tc3 can be 38℃, Tc4 can be 36℃, Tc5 can be 45℃, Tc6 can be 43℃, Tc7 can be 0℃, Tc8 can be 10℃, Tc9 can be -10℃, Tc10 can be -5℃, Tc11 can be -10℃, and Tc12 can be 0℃.

[0092] The fourth user profile corresponds to thermal management control methods including cooling thresholds and heating thresholds; cooling thresholds include fast charging entry threshold Td1, fast charging exit threshold Td2, driving entry threshold Td3, driving exit threshold Td4, slow charging entry threshold Td5, and slow charging exit threshold Td6; heating thresholds include fast charging heating entry threshold Td7, fast charging heating exit threshold Td8, slow charging heating entry threshold Td9, slow charging heating exit threshold Td10, driving heating entry threshold Td11, and driving heating exit threshold Td12.

[0093] Among them, Tc1 can be 36℃, Tc2 can be 34℃, Tc3 can be 42℃, Tc4 can be 40℃, Tc5 can be 45℃, Tc6 can be 43℃, Tc7 can be 0℃, Tc8 can be 10℃, Tc9 can be -10℃, Tc10 can be -5℃, Tc11 can be -20℃, and Tc12 can be -15℃.

[0094] The thermal management control methods corresponding to the fifth user profile include cooling thresholds and heating thresholds. Cooling thresholds include fast charging entry threshold Te1, fast charging exit threshold Te2, driving entry threshold Te3, driving exit threshold Te4, slow charging entry threshold Te5, and slow charging exit threshold Te6. Heating thresholds include fast charging heating entry threshold Te7, fast charging heating exit threshold Te8, slow charging heating entry threshold Te9, slow charging heating exit threshold Te10, driving heating entry threshold Te11, and driving heating exit threshold Te12.

[0095] Among them, Tc1 can be 32℃, Tc2 can be 30℃, Tc3 can be 42℃, Tc4 can be 40℃, Tc5 can be 45℃, Tc6 can be 43℃, Tc7 can be 15℃, Tc8 can be 17℃, Tc9 can be -10℃, Tc10 can be -5℃, Tc11 can be -20℃, and Tc12 can be -15℃.

[0096] The sixth image corresponds to thermal management control methods including cooling thresholds and heating thresholds; cooling thresholds include fast charging entry threshold Tf1, fast charging exit threshold Tf2, driving entry threshold Tf3, driving exit threshold Tf4, slow charging entry threshold Tf5, and slow charging exit threshold Tf6; heating thresholds include fast charging heating entry threshold Tf7, fast charging heating exit threshold Tf8, slow charging heating entry threshold Tf9, slow charging heating exit threshold Tf10, driving heating entry threshold Tf11, and driving heating exit threshold Tf12.

[0097] Among them, Tc1 can be 32℃, Tc2 can be 30℃, Tc3 can be 38℃, Tc4 can be 36℃, Tc5 can be 45℃, Tc6 can be 43℃, Tc7 can be 10℃, Tc8 can be 15℃, Tc9 can be -10℃, Tc10 can be -5℃, Tc11 can be -20℃, and Tc12 can be -15℃.

[0098] In the specific execution step S103, after determining the target user profile corresponding to the vehicle usage data from the various pre-set user profiles, the target thermal management control method matching the target user profile can be determined from the various pre-set thermal management control methods according to the correspondence between the pre-set user profiles and thermal management control methods.

[0099] S105: Update the parameter values ​​of the corresponding parameters on the control program on the vehicle terminal according to the target parameter values ​​of each parameter indicated by the target thermal management control mode.

[0100] During the specific execution of step S104, after determining the target thermal management control mode that matches the target user profile from the various pre-set thermal management control modes, the parameter values ​​of the corresponding parameters on the control program on the vehicle terminal can be updated according to the target parameter values ​​corresponding to each parameter indicated by the target thermal management control mode, so as to ensure that the vehicle performance can always be kept in the best state under different usage scenarios.

[0101] Furthermore, in this embodiment, the parameter values ​​of the parameters indicated by the target thermal management system can be further modified by the geographical information corresponding to the vehicle and / or the current time information of the vehicle operation, and then the parameter values ​​of the corresponding parameters on the control program on the vehicle terminal can be updated according to the modified parameter values.

[0102] It should be noted that the geographical information can be the geographical information corresponding to the areas the vehicle has traveled through in the most recent preset time period, such as the geographical information corresponding to Hainan, Hebei, Inner Mongolia, etc.

[0103] It should be noted that the current time information of vehicle operation can be the operating period within one year. The operating period can be divided into 12 months or the four seasons.

[0104] Optionally, obtain the geographical information of the vehicle within the most recent preset time period; correct the target parameter values ​​corresponding to each parameter indicated by the target thermal management control mode based on the geographical information to obtain the first final value of each parameter; and update the parameter values ​​of the corresponding parameters on the control program on the vehicle's terminal based on the first final value of each parameter indicated by the target thermal management control mode.

[0105] Optionally, the current time information of vehicle operation is obtained; the target parameter values ​​corresponding to each parameter indicated by the target thermal management control mode are corrected according to the current time information of vehicle operation to obtain the second final value of each parameter; and the parameter values ​​of the corresponding parameters on the control program on the vehicle terminal are updated according to the second final value of each parameter indicated by the target thermal management control mode.

[0106] Furthermore, in this embodiment, after correcting the target parameter values ​​corresponding to each parameter indicated by the target thermal management control method using regional information to obtain the first final value of each parameter, the first final value of each parameter can be further corrected using the current time information of vehicle operation. Finally, the parameter values ​​of the corresponding parameters on the control program on the vehicle terminal are updated using the corrected first final values ​​of each parameter.

[0107] Of course, the target parameter values ​​corresponding to each parameter indicated by the target thermal management control mode can also be corrected using the current time information of vehicle operation. After obtaining the second final value of each parameter, the second final value of each parameter can be further corrected using the regional information of the vehicle in the most recent preset time period. Finally, the parameter values ​​of the corresponding parameters on the control program on the vehicle terminal can be updated using the corrected second final values ​​of each parameter.

[0108] This invention provides a vehicle thermal management control method. It sets different vehicle operating characteristics based on historical vehicle usage scenarios and sets multiple corresponding user profiles for each vehicle operating characteristic, allowing each user profile to be assigned a corresponding thermal management control method. A big data computing platform acquires vehicle usage data in real time within a recently preset time period and analyzes the data to determine at least one target vehicle operating characteristic matching the data from the pre-set vehicle operating characteristics. Based on this target vehicle operating characteristic, it determines the target user profile corresponding to the vehicle usage data from the pre-set user profiles. Then, based on the correspondence between the pre-set user profiles and thermal management control methods, it determines the target thermal management control method matching the target user profile from the pre-set thermal management control methods. Finally, based on the target parameter values ​​corresponding to the parameters indicated by the target thermal management control method, it updates the corresponding parameter values ​​on the control program on the vehicle's terminal, thereby ensuring that the vehicle's performance remains at its optimal state under different usage scenarios.

[0109] Corresponding to the vehicle thermal management control method disclosed in the above embodiments of this application, such as Figure 4 As shown in the illustration, this application also provides a vehicle thermal management control device, which is applied to a big data computing platform. The vehicle thermal management control device specifically includes:

[0110] The vehicle usage data acquisition unit 41 is used to acquire vehicle usage data of vehicles within the most recent preset time period in real time.

[0111] The data analysis unit 42 is used to analyze vehicle usage data and determine at least one target vehicle operating feature that matches the vehicle usage data from a set of pre-set vehicle operating features; wherein, each vehicle operating feature is pre-set based on historical vehicle usage data.

[0112] The first determining unit 43 is used to determine the target user profile corresponding to the vehicle usage data from various pre-set user profiles based on at least one target vehicle operation characteristic;

[0113] The second determining unit 44 is used to determine the target thermal management control method that matches the target user profile from among the preset thermal management control methods according to the correspondence between the preset user profile and the thermal management control method.

[0114] The update unit 45 is used to update the parameter values ​​of the corresponding parameters on the control program on the vehicle terminal according to the target parameter values ​​corresponding to each parameter indicated by the target thermal management control mode.

[0115] The specific principles and execution processes of each unit in the vehicle thermal management control device disclosed in the above embodiments of the present invention are similar to those in the above embodiments of the present invention. Figure 1 The publicly disclosed vehicle thermal management control method is the same, and can be found in the above-described embodiments of the present invention. Figure 1 The relevant parts of the publicly available vehicle thermal management control methods will not be elaborated here.

[0116] This invention provides a vehicle thermal management control device. It sets different vehicle operating characteristics based on historical vehicle usage scenarios and sets multiple corresponding user profiles for each vehicle operating characteristic, allowing each user profile to be configured with a corresponding thermal management control method. A big data computing platform acquires vehicle usage data in real time within a recently preset time period and analyzes the data to determine at least one target vehicle operating characteristic matching the data from the pre-set vehicle operating characteristics. Based on this target vehicle operating characteristic, it determines a target user profile corresponding to the vehicle usage data from the pre-set user profiles. Then, based on the correspondence between the pre-set user profiles and thermal management control methods, it determines a target thermal management control method matching the target user profile from the pre-set thermal management control methods. Finally, based on the target parameter values ​​indicated by the target thermal management control method, it updates the corresponding parameter values ​​on the control program on the vehicle's terminal, thereby ensuring that the vehicle's performance remains at its optimal state under different usage scenarios.

[0117] Optionally, the vehicle thermal management control device provided by the present invention further includes:

[0118] The geographic information acquisition unit is used to acquire geographic information corresponding to vehicles within the most recent preset time period;

[0119] The first correction unit is used to correct the target parameter values ​​corresponding to each parameter indicated by the target thermal management control mode based on the regional information, so as to obtain the first final value of each parameter.

[0120] The updating unit is also used to update the parameter values ​​of the corresponding parameters on the control program on the vehicle terminal according to the first final values ​​corresponding to each parameter indicated by the target thermal management control mode.

[0121] Optionally, the vehicle thermal management control device provided by the present invention further includes:

[0122] The temperature information acquisition unit is used to acquire the current time information of the vehicle's operation; wherein, the current time information is the operating time period of the vehicle within one year;

[0123] The second correction unit is used to correct the target parameter values ​​corresponding to each parameter indicated by the target thermal management control mode based on the current time information, so as to obtain the second final value of each parameter.

[0124] The updating unit is also used to update the parameter values ​​of the corresponding parameters on the control program on the vehicle terminal according to the second final values ​​corresponding to each parameter indicated by the target thermal management control mode.

[0125] Optional, the operating period can be divided into 12 months or spring, summer, autumn and winter.

[0126] Optionally, vehicle usage data includes at least mileage data, fast and slow charging data, and vehicle speed data. The data analysis unit includes:

[0127] The data analysis subunit is used to analyze vehicle speed data, fast and slow charging data, and mileage data respectively, and to determine multiple target vehicle operating characteristics that match the vehicle usage data from various pre-set vehicle operating characteristics.

[0128] Optionally, pre-set vehicle operating characteristics include urban, highway, urban / highway hybrid, fast charging, slow charging, fast / slow charging hybrid, commercial, and private types. Data analysis sub-units include:

[0129] The third determining unit is used to determine the urban / highway combined type as the target vehicle operation characteristic for matching vehicle usage data if the daily average vehicle speed indicated in the vehicle speed data is within the preset vehicle speed range.

[0130] The fourth determining unit is used to determine the urban type as the target vehicle operation characteristic for matching vehicle usage data if the average daily vehicle speed is less than any vehicle speed within the preset speed range.

[0131] The fifth determining unit is used to determine the high-speed type as the target vehicle operating characteristic for matching vehicle usage data if the average daily vehicle speed is greater than any vehicle speed within the preset speed range.

[0132] The sixth determining unit is used to determine the fast charging type as the target vehicle operating characteristic for matching the vehicle usage data if the number of fast charging times within a preset time period in the fast and slow charging data is within a preset fast charging range.

[0133] The seventh determining unit is used to determine the fast / slow charging combined type as the target vehicle operation characteristic for matching vehicle usage data if the number of fast charging times within a preset time period in the fast and slow charging data is not within a preset fast charging range, and / or the number of slow charging times within a preset time period is not within a preset slow charging range.

[0134] The eighth determining unit is used to determine the slow charging type as the target vehicle operation characteristic for matching the vehicle usage data if the number of slow charging times within a preset time period in the fast and slow charging data is within a preset slow charging range.

[0135] The ninth determining unit is used to determine the operational type as the target vehicle operation characteristic for matching vehicle usage data if the daily mileage in the mileage data within a preset time period exceeds the first preset mileage and the total mileage within the preset time period exceeds the second preset mileage; wherein the second preset mileage is greater than the first preset mileage.

[0136] The tenth determining unit is used to determine the private type as the target vehicle operation characteristic for matching vehicle usage data if the daily mileage within a preset time period does not exceed the third preset mileage and the total mileage within the preset time period does not exceed the fourth preset mileage; wherein, the first preset mileage is greater than the third preset mileage and the second preset mileage is greater than the fourth mileage.

[0137] The eleventh determining unit is used to determine the private / operational dual-use type as the target vehicle operation characteristic for matching vehicle usage data if the daily mileage within a preset time period does not exceed the first preset mileage but exceeds the third preset mileage, and the total mileage within a preset time period does not exceed the second preset mileage but exceeds the fourth preset mileage.

[0138] Optionally, the pre-set user profiles include a first user profile, a second user profile, a third user profile, a fourth user profile, a fifth user profile, and a sixth user profile. Based on the operating characteristics of multiple target vehicles, the first determining unit includes:

[0139] The twelfth determining unit is used to determine the first user profile as the target user profile corresponding to the vehicle usage data if the operating characteristics of multiple target vehicles are urban type, fast charging type, and operational type.

[0140] The thirteenth determining unit is used to determine the second user profile as the target user profile corresponding to the vehicle usage data if the operating characteristics of multiple target vehicles are high-speed, fast, and operational.

[0141] The fourteenth determining unit is used to determine the third user profile as the target user profile corresponding to the vehicle usage data if the operating characteristics of multiple target vehicles are urban type, slow charging type, and operational type.

[0142] The fifteenth determining unit is used to determine the fourth user profile as the target user profile corresponding to the vehicle usage data if the operating characteristics of multiple target vehicles are slow charging type and private type.

[0143] The sixteenth determining unit is used to determine the fifth user profile as the target user profile corresponding to the vehicle usage data if the operating characteristics of multiple target vehicles are fast charging type and operation type.

[0144] The seventeenth determining unit is used to determine the sixth user profile as the target user profile corresponding to the vehicle usage data if the operating characteristics of multiple target vehicles are fast / slow charging combined type and private / commercial combined type.

[0145] This application provides an electronic device, such as... Figure 5 As shown, the electronic device includes a processor 501 and a memory 502. The memory 502 is used to store program code and data for fault handling of large amounts of data. The processor 501 is used to call the program instructions in the memory to execute the steps shown in the vehicle thermal management control method in the above embodiment.

[0146] This application provides a storage medium including a stored program, wherein, when the program is running, it controls the device where the storage medium is located to execute the vehicle thermal management control method shown in the above embodiments.

[0147] The various embodiments in this specification are described in a progressive manner. Similar or identical parts between embodiments can be referred to mutually. Each embodiment focuses on describing the differences from other embodiments. In particular, for system or system embodiments, since they are basically similar to method embodiments, the description is relatively simple, and relevant parts can be referred to the descriptions in the method embodiments. The systems and system embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Those skilled in the art can understand and implement this without creative effort.

[0148] Those skilled in the art will further recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of both. To clearly illustrate the interchangeability of hardware and software, the components and steps of the various examples have been generally described in terms of functionality in the foregoing description. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementations should not be considered beyond the scope of this invention.

[0149] The above description of the disclosed embodiments enables those skilled in the art to make or use the invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the invention. Therefore, the invention is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

[0150] The above are merely preferred embodiments of the present invention. It should be noted that those skilled in the art can make various improvements and modifications 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 vehicle thermal management control method, characterized in that, Applied to a big data computing platform, the method includes: Real-time acquisition of vehicle usage data within the most recent preset time period; The vehicle usage data is analyzed to determine multiple target vehicle operating characteristics that match the vehicle usage data from a set of pre-set vehicle operating characteristics; wherein each of the vehicle operating characteristics is pre-set based on historical vehicle usage data; the pre-set vehicle operating characteristics include urban type, highway type, urban / highway hybrid type, fast charging type, slow charging type, fast / slow charging hybrid type, commercial type, and private type. Based on the multiple target vehicle operation characteristics, a target user profile corresponding to the vehicle usage data is determined from each pre-set user profile; wherein, each pre-set user profile includes a first user profile, a second user profile, a third user profile, a fourth user profile, a fifth user profile, and a sixth user profile; Based on the pre-set correspondence between the user profile and the thermal management control method, a target thermal management control method that matches the target user profile is determined from the pre-set thermal management control methods. Based on the target parameter values ​​corresponding to each parameter indicated by the target thermal management control method, the parameter values ​​corresponding to the parameters on the control program on the vehicle's terminal are updated; The vehicle usage data includes at least mileage data, fast and slow charging data, and vehicle speed data. The analysis of the vehicle usage data, determining multiple target vehicle operating characteristics matching the vehicle usage data from a pre-set set of vehicle operating characteristics, includes: The vehicle speed data, fast and slow charging data, and mileage data are analyzed respectively, and multiple target vehicle operating characteristics that match the vehicle usage data are determined from a set of pre-set vehicle operating characteristics. The step of determining the target user profile corresponding to the vehicle usage data from pre-set user profiles based on the multiple target vehicle operating characteristics includes: If the operating characteristics of the multiple target vehicles are urban type, fast charging type, and operational type, the first user profile is determined as the target user profile corresponding to the vehicle usage data; If the operating characteristics of the multiple target vehicles are the high-speed type, the fast-charging type, and the operational type, the second user profile is determined as the target user profile corresponding to the vehicle usage data; If the operating characteristics of the multiple target vehicles are urban type, slow charging type, and operational type, the third user profile is determined as the target user profile corresponding to the vehicle usage data; If the operating characteristics of the multiple target vehicles are the slow-charging type and the private type, the fourth user profile is determined as the target user profile corresponding to the vehicle usage data; If the operating characteristics of the multiple target vehicles are the fast-charging type and the operational type, the fifth user profile is determined as the target user profile corresponding to the vehicle usage data; If the operating characteristics of the multiple target vehicles are the fast / slow charging type and the private / commercial type, the sixth user profile is determined as the target user profile corresponding to the vehicle usage data.

2. The method according to claim 1, characterized in that, Before updating the parameter values ​​of the corresponding parameters on the control program on the vehicle's terminal according to the target parameter values ​​corresponding to each parameter indicated by the target thermal management control mode, the method further includes: Obtain the geographic information corresponding to the vehicle within the most recent preset time period; Based on the regional information, the target parameter values ​​corresponding to each parameter indicated by the target thermal management control method are corrected to obtain the first final value of each parameter; The step of updating the parameter values ​​of the corresponding parameters in the control program on the vehicle's terminal according to the target parameter values ​​corresponding to each parameter indicated by the target thermal management control method includes: Based on the first final value corresponding to each parameter indicated by the target thermal management control mode, the parameter values ​​of the corresponding parameters on the control program on the vehicle's terminal are updated.

3. The method according to claim 1, characterized in that, Before updating the parameter values ​​of the corresponding parameters on the control program on the vehicle's terminal according to the target parameter values ​​corresponding to each parameter indicated by the target thermal management control mode, the method further includes: Obtain the current time information of the vehicle's operation; wherein, the current time information is the operating time period of the vehicle within one year; Based on the current time information, the target parameter values ​​corresponding to each parameter indicated by the target thermal management control mode are corrected to obtain the second final value of each parameter; The step of updating the parameter values ​​of the corresponding parameters in the control program on the vehicle's terminal according to the target parameter values ​​corresponding to each parameter indicated by the target thermal management control method includes: Based on the second final value corresponding to each parameter indicated by the target thermal management control mode, the parameter values ​​of the corresponding parameters on the control program on the vehicle's terminal are updated.

4. The method according to claim 3, characterized in that, The operating period can be divided into 12 months or the four seasons of spring, summer, autumn and winter.

5. The method according to claim 1, characterized in that, The process involves analyzing the vehicle speed data, the fast / slow charging data, and the mileage data to determine multiple target vehicle operating characteristics that match the vehicle usage data from a set set of vehicle operating characteristics. This includes: If the daily average vehicle speed indicated in the vehicle speed data is within the preset vehicle speed range, the urban / highway hybrid type will be determined as the target vehicle operating characteristic for matching the vehicle usage data. If the average daily vehicle speed is less than any speed within the preset speed range, the urban type will be determined as the target vehicle operating characteristic that matches the vehicle usage data. If the average daily vehicle speed is greater than any speed within the preset speed range, the high-speed type will be determined as the target vehicle operating characteristic that matches the vehicle usage data. If the number of fast charges within a preset time period in the fast and slow charging data is within a preset fast charging range, the fast charging type will be determined as the target vehicle operating characteristic that matches the vehicle usage data. If the number of fast charges within the preset time period in the fast and slow charging data is not within the preset fast charging range, and / or the number of slow charges within the preset time period is not within the preset slow charging range, the fast / slow charging combined type is determined as the target vehicle operating characteristic that matches the vehicle usage data. If the number of slow charges within the preset time period in the fast and slow charging data is within the preset slow charging range, the slow charging type will be determined as the target vehicle operating characteristic that matches the vehicle usage data. If the daily mileage within the preset time period in the mileage data exceeds the first preset mileage, and the total mileage within the preset time period exceeds the second preset mileage, the operational type is determined as the target vehicle operating characteristic matching the vehicle usage data; wherein, the second preset mileage is greater than the first preset mileage; If the daily mileage within the preset time period does not exceed the third preset mileage, and the total mileage within the preset time period does not exceed the fourth preset mileage, the private type is determined as the target vehicle operating characteristic matching the vehicle usage data; wherein, the first preset mileage is greater than the third preset mileage, and the second preset mileage is greater than the fourth mileage; If the daily mileage within the preset time period does not exceed the first preset mileage but exceeds the third preset mileage, and the total mileage within the preset time period does not exceed the second preset mileage but exceeds the fourth preset mileage, then the private / operational dual-use type is determined as the target vehicle operating characteristic that matches the vehicle usage data.

6. A vehicle thermal management control device, characterized in that, The device, applied to a big data processing platform, includes: The vehicle usage data acquisition unit is used to acquire vehicle usage data of vehicles within the most recent preset time period in real time. The data analysis unit is used to analyze the vehicle usage data and determine at least one target vehicle operating feature that matches the vehicle usage data from a set of pre-set vehicle operating features; wherein, each of the vehicle operating features is pre-set based on historical vehicle usage data; the pre-set vehicle operating features include urban type, highway type, urban / highway hybrid type, fast charging type, slow charging type, fast / slow charging hybrid type, commercial type, and private type. The first determining unit is configured to determine a target user profile corresponding to the vehicle usage data from a set of pre-set user profiles based on the at least one target vehicle operating characteristics; wherein the set of pre-set user profiles includes a first user profile, a second user profile, a third user profile, a fourth user profile, a fifth user profile, and a sixth user profile. The second determining unit is used to determine, based on the pre-set correspondence between user profiles and thermal management control methods, a target thermal management control method that matches the target user profile from the pre-set thermal management control methods. The update unit is used to update the parameter values ​​of the corresponding parameters on the software of the vehicle's terminal according to the target parameter values ​​corresponding to each parameter indicated by the target thermal management control mode. The vehicle usage data includes at least mileage data, fast and slow charging data, and vehicle speed data. The data analysis unit includes: The data analysis subunit is used to analyze the vehicle speed data, the fast and slow charging data, and the mileage data respectively, and to determine multiple target vehicle operating characteristics that match the vehicle usage data from a set of pre-set vehicle operating characteristics. The first determining unit includes: The twelfth determining unit is used to determine the first user profile as the target user profile corresponding to the vehicle usage data if the multiple target vehicle operating characteristics are urban type, fast charging type, and operational type. The thirteenth determining unit is used to determine the second user profile as the target user profile corresponding to the vehicle usage data if the multiple target vehicle operating characteristics are the high-speed type, the fast-charging type, and the operational type. The fourteenth determining unit is used to determine the third user profile as the target user profile corresponding to the vehicle usage data if the multiple target vehicle operating characteristics are urban type, slow charging type, and operational type. The fifteenth determining unit is used to determine the fourth user profile as the target user profile corresponding to the vehicle usage data if the multiple target vehicle operating characteristics are the slow charging type and the private type. The sixteenth determining unit is used to determine the fifth user profile as the target user profile corresponding to the vehicle usage data if the multiple target vehicle operating characteristics are the fast charging type and the operational type. The seventeenth determining unit is used to determine the sixth user profile as the target user profile corresponding to the vehicle usage data if the multiple target vehicle operating characteristics are the fast / slow charging type and the private / operation type.

7. An electronic device, characterized in that, The electronic device includes a processor and a memory, the memory being used to store program code and data for vehicle thermal management control, and the processor being used to call program instructions in the memory to execute a vehicle thermal management control method as described in any one of claims 1-5.

8. A storage medium, characterized in that, The storage medium includes a stored program, wherein, when the program is executed, it controls the device where the storage medium is located to perform a vehicle thermal management control method as described in any one of claims 1-5.

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