Battery driving and heating method and device, electronic equipment and storage medium

Abstract

The application provides a battery driving heating method, device, electronic equipment and storage medium, wherein the battery driving heating method comprises the following steps: analyzing the driving habit of a user based on the user driving data in a first period; constructing a heating strategy model based on the driving habit of the user; when detecting that the user triggers a driving instruction, determining a target power and a target temperature based on the heating strategy model, and judging whether the current power of the power battery is less than the target power based on the current temperature of the power battery and the current SOC of the power battery; and if the current power of the power battery is less than the target power and the current temperature of the power battery is less than the target temperature, heating the power battery. The heating method of the application can heat the power battery in advance based on the predicted power demand, thereby overcoming the shortcoming of delayed heating of the power battery. In addition, the application can avoid energy waste caused by default heating strategy when the temperature is low.

Description

Technical Field

[0001] This application relates to the field of electric vehicles, and more specifically, to a battery heating method, apparatus, electronic device, and storage medium for vehicle operation. Background Technology

[0002] Currently, when pure electric vehicles are used in low-temperature environments, the discharge power performance of the power battery decreases, resulting in reduced vehicle power performance and a poor user experience. Existing technical solutions involve activating a battery heating function when the current battery temperature is below a set threshold; and stopping battery heating when the battery temperature reaches a threshold that disables the heating. In other words, when the battery temperature is low, by setting one or more fixed thresholds, the battery is heated to a set temperature to improve battery performance in low-temperature environments. Furthermore, existing technology can either have this function always on by default, activate only when the user sets the vehicle to Sport mode, or enable it via a soft button.

[0003] However, existing technologies have the following drawbacks: First, battery heating has a lag. When it's determined that improved power is needed and battery heating is initiated, the user may have already reached their destination and ended their journey while the battery is warming up. The user will not experience the improved power that comes with increased temperature. Second, during heating, some battery power is consumed, resulting in weaker vehicle power. Before the battery temperature reaches a certain level, heating the battery has the opposite effect. Third, if the user's current driving condition doesn't require high power output and doesn't necessitate high battery discharge power, then defaulting to battery heating does not improve the user experience; it wastes energy without any benefit. Summary of the Invention

[0004] The purpose of this application is to provide a battery heating method, device, electronic device, and storage medium for heating a power battery and to overcome one of the shortcomings of the prior art.

[0005] In a first aspect, the present invention provides a battery heating method for vehicle operation, the method comprising:

[0006] Acquire user driving data within the first period and statistically analyze the user's driving habits based on the user driving data within the first period;

[0007] A heating strategy model is constructed based on users' vehicle usage habits. The heating strategy model includes several habit labels. Each habit label is associated with a power value, a temperature value, and a first SOC value. The power value represents the power required by the user's habits. The temperature value and the first SOC value represent the temperature required when the output power of the power battery reaches the required power at the first SOC value.

[0008] When the user triggers a driving command, the system obtains the current driving information and determines the target habit based on the current driving information.

[0009] The target power and target temperature are determined based on the target habits and the heating strategy model;

[0010] The current temperature and current SOC of the power battery are obtained, and based on the current temperature and current SOC of the power battery, it is determined whether the current power of the power battery is less than the target power. If the current power of the power battery is less than the target power, it is determined whether the current temperature of the power battery is less than the target temperature.

[0011] When the current temperature of the power battery is lower than the target temperature, the power battery is heated.

[0012] The method of this application acquires user driving data within a first period and statistically analyzes the user's driving habits based on the user driving data within the first period. It then constructs a heating strategy model based on the user's driving habits. The heating strategy model includes several habit labels, each associated with a power value and a temperature value. The power value represents the power required by the user's habit, and the temperature value represents the temperature required for the power battery to achieve the required power output. Therefore, when the user triggers a driving command, the method can acquire current driving information and determine the target habit based on the current driving information, thereby enabling the construction of a heating strategy model based on the target habit. The target power and target temperature are determined by the standard usage and the heating strategy model. Then, the current temperature and current SOC of the power battery can be obtained. Based on the current temperature and current SOC of the power battery, it is determined whether the current power of the power battery is less than the target power. If the current power of the power battery is less than the target power, it is determined whether the current temperature of the power battery is less than the target temperature. Then, when the current temperature of the power battery is less than the target temperature, the power battery can be heated to increase the temperature of the power battery and overcome the defect of insufficient power output of the power battery at low temperature.

[0013] Meanwhile, compared with existing heating methods, the heating method of this application can analyze user habits based on driving data statistics over a period of time. This allows the method to predict the user's power demand based on the statistical analysis results when the user triggers a driving command, and thus preheat the power battery based on the predicted power demand, overcoming the drawback of delayed power battery heating. Furthermore, the heating method of this application only heats the power battery when the current power battery power cannot meet the predicted power demand. This avoids heating the power battery without the user increasing power performance, thus preventing energy waste caused by defaulting to a heating strategy when the temperature is low.

[0014] In an optional embodiment, the method further includes, before heating the power battery:

[0015] The target SOC is determined based on the target habits and the heating strategy model;

[0016] Determine whether the current SOC of the power battery is less than the target SOC. If the current SOC of the power battery is less than the target SOC, then the power battery is not heated.

[0017] This optional implementation can determine whether the current SOC of the power battery is less than the target SOC. If the current SOC of the power battery is less than the target SOC, the power battery will not be heated. In this way, heating of the power battery under low SOC conditions can be avoided, thereby ensuring the range performance of the power battery.

[0018] In an optional implementation, the method further includes:

[0019] Acquire user driving data within the second period, and update the heating strategy model based on the user driving data within the second period.

[0020] This optional implementation can acquire user driving data within the second period and update the heating strategy model based on the user driving data within the second period, thereby enabling the heating strategy model to adapt to changes in user habits.

[0021] In an optional implementation, the method further includes:

[0022] During the heating process of the power battery, it is detected whether the current temperature of the power battery has reached the target temperature. If the current temperature of the power battery has reached the target temperature, the heating of the power battery is stopped.

[0023] This optional implementation can detect whether the current temperature of the power battery has reached the target temperature during the heating process. If the current temperature of the power battery has reached the target temperature, the heating of the power battery is stopped, and the battery is heated only to the temperature corresponding to the battery discharge power required for this trip, thus avoiding energy waste caused by excessive heating.

[0024] In a second aspect, the present invention provides a battery heating method for vehicle operation, the device comprising:

[0025] The first acquisition module is used to acquire user driving data within a first period and statistically analyze the user's driving habits based on the user driving data within the first period.

[0026] The module is used to build a heating strategy model based on the user's driving habits. The heating strategy model includes several habit labels. Each habit label is associated with a power value, a temperature value, and a first SOC value. The power value represents the power required by the user's habits. The temperature value and the first SOC value represent the temperature required when the output power of the power battery reaches the required power at the first SOC value.

[0027] The second acquisition module is used to acquire current driving information and determine target habits based on the current driving information when the user triggers a driving command.

[0028] The first determining module is used to determine the target power and target temperature based on the target habit and the heating strategy model;

[0029] The third acquisition module is used to acquire the current temperature and the current SOC of the power battery;

[0030] The first judgment module is used to determine whether the current power of the power battery is less than the target power based on the current temperature and the current SOC of the power battery. If the current power of the power battery is less than the target power, then it is determined whether the current temperature of the power battery is less than the target temperature.

[0031] A heating control module is used to heat the power battery when the current temperature of the power battery is lower than the target temperature.

[0032] The heating device of this application can statistically analyze user habits based on driving data over a period of time. Therefore, when a user triggers a driving command, it can predict the user's power demand based on the statistical analysis results, and thus preheat the power battery based on the predicted power demand, overcoming the drawback of delayed power battery heating. Furthermore, the heating method of this application only heats the power battery when the current power battery power cannot meet the predicted power demand. This avoids heating the power battery without the user increasing power performance, thus preventing energy waste caused by defaulting to a heating strategy when the temperature is low.

[0033] In an optional embodiment, the apparatus further includes:

[0034] The second judgment module is used to determine whether the current SOC of the power battery is less than the target SOC. If the current SOC of the power battery is less than the target SOC, the power battery is not heated.

[0035] This optional implementation can determine whether the current SOC of the power battery is less than the target SOC. If the current SOC of the power battery is less than the target SOC, the power battery will not be heated. In this way, heating of the power battery under low SOC conditions can be avoided, thereby ensuring the range performance of the power battery.

[0036] In an optional embodiment, the apparatus further includes:

[0037] The fourth acquisition module is used to acquire user driving data within the second period and update the heating strategy model based on the user driving data within the second period.

[0038] This optional implementation can acquire user driving data within the second period and update the heating strategy model based on the user driving data within the second period, thereby enabling the heating strategy model to adapt to changes in user habits.

[0039] In an optional embodiment, the apparatus further includes:

[0040] The detection module is used to detect whether the current temperature of the power battery has reached the target temperature during the heating process of the power battery. If the current temperature of the power battery has reached the target temperature, the heating of the power battery is stopped.

[0041] This optional implementation can detect whether the current temperature of the power battery has reached the target temperature during the heating process. If the current temperature of the power battery has reached the target temperature, the heating of the power battery is stopped, and the battery is heated only to the temperature corresponding to the battery discharge power required for this trip, thus avoiding energy waste caused by excessive heating.

[0042] Thirdly, the present invention provides an electronic device, comprising:

[0043] Processor; and

[0044] The memory is configured to store machine-readable instructions that, when executed by the processor, perform the battery driving heating method as described in any of the foregoing embodiments.

[0045] The electronic device of this application, by implementing a battery heating method for vehicle operation, can statistically analyze user habits based on driving data over a period of time. This allows it to predict the user's power demand based on the statistical analysis results when the user triggers a driving command, and thus preheat the battery based on the predicted power demand, overcoming the drawback of delayed battery heating. Furthermore, the heating method of this application only heats the battery when the current battery power cannot meet the predicted power demand. This avoids heating the battery without the user increasing power performance, thus preventing energy waste caused by defaulting to a heating strategy when the temperature is low.

[0046] Fourthly, the present invention provides a storage medium storing a computer program, the computer program being executed by a processor as described in any of the foregoing embodiments of the battery driving heating method.

[0047] The storage medium of this application, by implementing a battery driving heating method, can statistically analyze user habits based on driving data over a period of time. This allows the system to predict the user's power demand based on the statistical analysis results when the user triggers a driving command, and thus preheat the power battery based on the predicted power demand, overcoming the drawback of delayed power battery heating. Furthermore, the heating method of this application only heats the power battery when the current power battery power cannot meet the predicted power demand. This avoids heating the power battery without the user increasing power performance, thus preventing energy waste caused by defaulting to a heating strategy when the temperature is low. Attached Figure Description

[0048] To more clearly illustrate the technical solutions of the embodiments of this application, the accompanying drawings used in the embodiments of this application will be briefly introduced below. It should be understood that the following drawings only show some embodiments of this application and should not be regarded as a limitation of the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0049] Figure 1 This is a schematic flowchart of a battery-powered vehicle heating method disclosed in an embodiment of this application;

[0050] Figure 2 This is a schematic diagram of a heating strategy model disclosed in an embodiment of this application;

[0051] Figure 3 This is a schematic diagram of a battery discharge power characteristic table disclosed in an embodiment of this application;

[0052] Figure 4 This is a schematic diagram of the structure of a battery-powered vehicle heating device disclosed in an embodiment of this application;

[0053] Figure 5 This is a schematic diagram of the structure of an electronic device disclosed in an embodiment of this application. Detailed Implementation

[0054] The technical solutions in the embodiments of this application will now be described with reference to the accompanying drawings.

[0055] Example 1

[0056] Please see Figure 1 , Figure 1 This is a schematic flowchart of a battery heating method for vehicles disclosed in an embodiment of this application, as shown below. Figure 1 As shown, the method in this application embodiment includes the following steps:

[0057] 101. Obtain user driving data within the first period and statistically analyze user driving habits based on the user driving data within the first period;

[0058] 102. Construct a heating strategy model based on users' vehicle usage habits. The heating strategy model includes several habit labels. Each habit label is associated with a power value, a temperature value, and a first SOC value. The power value represents the power required by the user's habits. The temperature value and the first SOC value represent the temperature required when the output power of the power battery reaches the required power at the first SOC value.

[0059] 103. When a user triggers a driving command, obtain the current driving information and determine the target habit based on the current driving information;

[0060] 104. Determine the target power and target temperature based on the target habits and heating strategy model;

[0061] 105. Obtain the current temperature and current SOC of the power battery, and determine whether the current power of the power battery is less than the target power based on the current temperature and current SOC of the power battery. If the current power of the power battery is less than the target power, determine whether the current temperature of the power battery is less than the target temperature.

[0062] 106. When the current temperature of the power battery is lower than the target temperature, the power battery is heated.

[0063] The method in this application embodiment acquires user driving data within a first cycle and statistically analyzes user driving habits based on this data. It then constructs a heating strategy model based on these habits. The heating strategy model includes several habit labels, each associated with a power value and a temperature value. The power value represents the power required by the user's habit, and the temperature value represents the temperature required for the power battery to achieve the desired output power. When a user triggers a driving command, the method acquires current driving information and determines the target habit based on this information. It then determines the target power and target temperature based on the target habit and the heating strategy model. Furthermore, it acquires the current temperature and current SOC of the power battery and determines whether the current power of the power battery is less than the target power. If the current power is less than the target power, it determines whether the current temperature is less than the target temperature. Therefore, when the current temperature is less than the target temperature, the method heats the power battery, ultimately increasing its temperature and overcoming the deficiency of insufficient power output at low temperatures.

[0064] Meanwhile, compared with existing heating methods, the heating method of this application can analyze user habits based on driving data statistics over a period of time. This allows the method to predict the user's power demand based on the statistical analysis results when the user triggers a driving command, and thus preheat the power battery based on the predicted power demand, overcoming the drawback of delayed power battery heating. Furthermore, the heating method of this application only heats the power battery when the current power battery power cannot meet the predicted power demand. This avoids heating the power battery without the user increasing power performance, thus preventing energy waste caused by defaulting to a heating strategy when the temperature is low.

[0065] For an example embodiment of this application, after obtaining a user's driving data from the past month, statistical analysis of this driving data reveals that the user needs to travel on a highway from Monday to Friday, and the power required to travel on this highway is 60kW. In this case, Monday to Friday can be categorized as Habit 1, where Habit 1 is a habit label, and 60kW is used as the power value associated with Habit 1, i.e., the required power. Furthermore, based on temperature-power characteristics or historical experience, the temperature required to reach 60kW under the current State of Charge (SOC) can be determined, ultimately yielding... Figure 2 The heating strategy model shown is as follows, where, Figure 2 This is a schematic diagram of a heating strategy model disclosed in an embodiment of this application. Further, after forming the heating strategy model, the user's current driving information is obtained, and a target habit is determined based on this information. For example, assuming the user's current driving information indicates that the user's current driving time is Wednesday, then the target habit is habit 1, and the power associated with habit 1, 60kW, is used as the target power. Simultaneously, if it is determined based on the current temperature and current SOC of the power battery that the current power of the power battery cannot reach 60kW, the power battery is heated to reduce the impact of low temperature on the power battery and to enable the power battery's power to reach 60kW at a suitable temperature. Specifically, after obtaining the current temperature and current SOC of the power battery, it can be determined based on the battery discharge power characteristic table that 60kW can be reached. Specifically, if the current temperature and current SOC of the power battery are within a certain range... Figure 3 If the current power output of the battery falls within the trapezoidal range, it indicates that the battery's power output cannot reach 60kW. Specifically, if the current SOC is 40% and the battery temperature is -20℃, the battery needs to be heated to -10℃ to meet the target power requirement of 60kW. It should be noted that... Figure 3 This is a schematic diagram of a battery discharge power characteristic table disclosed in an embodiment of this application.

[0066] In the above process, by analyzing user habits, the power battery can be preheated when the user needs higher power requirements, that is, the power battery is heated at the start of driving. However, existing technologies usually determine whether to heat the power battery only after recognizing the user's increased output command, which results in a delayed heating of the power battery.

[0067] In this embodiment of the application, for step 101, the first period can be one month or three months in the past, and this embodiment of the application does not limit its specific time span.

[0068] In this embodiment of the application, for step 101, the user driving data in the first cycle may include system time, driving speed, and parameters of the power battery, wherein the parameters of the power battery may include parameters such as the temperature, SOC, and output power of the power battery.

[0069] In this embodiment of the application, for the specific mathematical methods of statistical analysis in step 101, please refer to the prior art; this embodiment of the application does not limit them.

[0070] In this embodiment of the application, before heating the power battery, the method further includes the following sub-steps:

[0071] The system determines whether the current SOC of the power battery is lower than the predetermined SOC. If the current SOC of the power battery is lower than the predetermined SOC, the power battery will not be heated. This strategy is to ensure the user's range, since the SOC is already low and the battery will not be heated to improve power performance.

[0072] In this embodiment of the application, as an optional implementation, the method further includes the following steps:

[0073] Acquire user driving data within the second cycle and update the heating strategy model based on the user driving data within the second cycle.

[0074] This optional implementation can acquire user driving data within the second period and update the heating strategy model based on the user driving data within the second period, thereby enabling the heating strategy model to adapt to changes in user habits.

[0075] In an optional implementation of this application, the method further includes the following steps:

[0076] During the heating process of the power battery, it is detected whether the current temperature of the power battery has reached the target temperature. If the current temperature of the power battery has reached the target temperature, the heating of the power battery is stopped.

[0077] This optional implementation can detect whether the current temperature of the power battery has reached the target temperature during the heating process. If the current temperature of the power battery has reached the target temperature, the heating of the power battery is stopped, and the battery is heated only to the temperature corresponding to the battery discharge power required for this trip, thus avoiding energy waste caused by excessive heating.

[0078] Example 2

[0079] Please see Figure 4 , Figure 4 This is a schematic diagram of the structure of a battery-powered vehicle heating device disclosed in an embodiment of this application, as shown below. Figure 4 As shown, the apparatus in this embodiment includes the following functional modules:

[0080] The first acquisition module 201 is used to acquire user driving data within the first period and statistically analyze user driving habits based on the user driving data within the first period.

[0081] Module 202 is used to build a heating strategy model based on the user's driving habits. The heating strategy model includes several habit labels. Each habit label is associated with a power value, a temperature value, and a first SOC value. The power value represents the power required by the user's habits. The temperature value and the first SOC value represent the temperature required when the output power of the power battery reaches the required power at the first SOC value.

[0082] The second acquisition module 203 is used to acquire current driving information and determine the target habit based on the current driving information when the user triggers a driving command.

[0083] The first determining module 204 is used to determine the target power and target temperature based on the target habit and heating strategy model;

[0084] The third acquisition module 205 is used to acquire the current temperature and current SOC of the power battery.

[0085] The first judgment module 206 is used to determine whether the current power of the power battery is less than the target power based on the current temperature and the current SOC of the power battery. If the current power of the power battery is less than the target power, then it is determined whether the current temperature of the power battery is less than the target temperature.

[0086] The heating control module 207 is used to heat the power battery when the current temperature of the power battery is lower than the target temperature.

[0087] The heating device in this application embodiment can statistically analyze user habits based on driving data over a period of time. Therefore, when a user triggers a driving command, the device can predict the user's power demand based on the statistical analysis results, and thus heat the power battery in advance based on the predicted power demand, overcoming the drawback of delayed power battery heating. Furthermore, the heating method of this application only heats the power battery when the current power battery power cannot meet the predicted power demand. This avoids heating the power battery without the user increasing power performance, thus preventing energy waste caused by defaulting to a heating strategy when the temperature is low.

[0088] In this embodiment of the application, as an optional implementation, the apparatus further includes the following functional modules:

[0089] The second judgment module is used to determine whether the current SOC of the power battery is less than the predetermined SOC. If the current SOC of the power battery is less than the predetermined SOC, the power battery will not be heated.

[0090] This optional implementation can determine the target SOC based on the target habit and heating strategy model, and then determine whether the current SOC of the power battery is less than the predetermined SOC. If the current SOC of the power battery is less than the predetermined SOC, the power battery will not be heated. In this way, heating of the power battery under low SOC conditions can be avoided, thereby ensuring the range performance of the power battery.

[0091] In this embodiment of the application, as an optional implementation, the apparatus further includes the following functional modules:

[0092] The fourth acquisition module is used to acquire user driving data within the second cycle and update the heating strategy model based on the user driving data within the second cycle.

[0093] This optional implementation can acquire user driving data within the second period and update the heating strategy model based on the user driving data within the second period, thereby enabling the heating strategy model to adapt to changes in user habits.

[0094] In this embodiment of the application, as an optional implementation, the apparatus further includes the following functional modules:

[0095] The detection module is used to detect whether the current temperature of the power battery has reached the target temperature during the heating process. If the current temperature of the power battery has reached the target temperature, the heating of the power battery is stopped.

[0096] This optional implementation can detect whether the current temperature of the power battery has reached the target temperature during the heating process. If the current temperature of the power battery has reached the target temperature, the heating of the power battery is stopped, and the battery is heated only to the temperature corresponding to the battery discharge power required for this trip, thus avoiding energy waste caused by excessive heating.

[0097] It should be noted that for other detailed descriptions of the apparatus in the embodiments of this application, please refer to the relevant description in Embodiment 1 of this application, which will not be repeated in the embodiments of this application.

[0098] Example 3

[0099] Please see Figure 5 , Figure 5 This is a schematic diagram of the structure of an electronic device disclosed in an embodiment of this application, such as... Figure 5 As shown, the electronic device in this application embodiment includes:

[0100] Processor 301; and

[0101] The memory 301 is configured to store machine-readable instructions that, when executed by the processor 301, perform the battery driving heating method as described in any of the foregoing embodiments.

[0102] The electronic device in this application implements a battery heating method for driving, which can statistically analyze user habits based on driving data within a cycle. This allows the device to predict the user's power demand based on the statistical analysis results when the user triggers a driving command, and thus preheat the battery based on the predicted power demand, overcoming the drawback of delayed battery heating. Furthermore, this heating method only heats the battery when its current power output cannot meet the predicted power demand. This avoids heating the battery without the user increasing power performance, thus preventing energy waste caused by defaulting to a heating strategy when the temperature is low.

[0103] Example 4

[0104] This application provides a storage medium storing a computer program, which is executed by a processor as a battery vehicle heating method according to any of the foregoing embodiments.

[0105] The storage medium in this application embodiment, by executing a battery driving heating method, can statistically analyze user habits based on driving data within a cycle. This allows it to predict the user's power demand based on the statistical analysis results when the user triggers a driving command, and thus preheat the power battery based on the predicted power demand, overcoming the drawback of delayed power battery heating. Furthermore, this heating method only heats the power battery when its current power output cannot meet the predicted power demand. This avoids heating the power battery without the user increasing power performance, thus preventing energy waste caused by defaulting to a heating strategy when the temperature is low.

[0106] In the embodiments provided in this application, it should be understood that the disclosed apparatus and methods can be implemented in other ways. The apparatus embodiments described above are merely illustrative. For example, the division of units is only a logical functional division, and there may be other division methods in actual implementation. Furthermore, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Additionally, the coupling or direct coupling or communication connection shown or discussed may be through some communication interface; the indirect coupling or communication connection between apparatuses or units may be electrical, mechanical, or other forms.

[0107] Furthermore, 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 units can be selected to achieve the purpose of this embodiment according to actual needs.

[0108] Furthermore, the functional modules in the various embodiments of this application can be integrated together to form an independent part, or each module can exist independently, or two or more modules can be integrated to form an independent part.

[0109] It should be noted that if a function is implemented as a software module and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0110] In this document, relational terms such as first and second are used only to distinguish one entity or operation from another entity or operation, without necessarily requiring or implying any such actual relationship or order between these entities or operations.

[0111] The above are merely embodiments of this application and are not intended to limit the scope of protection of this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the scope of protection of this application.

Claims

1. A method of battery vehicle heating, characterized by, The method includes: Acquire user driving data within the first period and statistically analyze the user's driving habits based on the user driving data within the first period; A heating strategy model is constructed based on users' vehicle usage habits. The heating strategy model includes several habit labels. Each habit label is associated with a power value, a temperature value, and a first SOC value. The power value represents the power required by the user's habits. The temperature value and the first SOC value represent the temperature required when the output power of the power battery reaches the required power at the first SOC value. When the user triggers a driving command, the system obtains the current driving information and determines the target habit based on the current driving information. The target power and target temperature are determined based on the target habits and the heating strategy model; The current temperature and current SOC of the power battery are obtained, and based on the current temperature and current SOC of the power battery, it is determined whether the current power of the power battery is less than the target power. If the current power of the power battery is less than the target power, it is determined whether the current temperature of the power battery is less than the target temperature. When the current temperature of the power battery is lower than the target temperature, the power battery is heated. Furthermore, before heating the power battery, the method further includes: Determine whether the current SOC of the power battery is less than the predetermined SOC. If the current SOC of the power battery is less than the predetermined SOC, then the power battery is not heated. Furthermore, the method further includes: Acquire user driving data within the second period, and update the heating strategy model based on the user driving data within the second period.

2. The method as described in claim 1, characterized in that, The method further includes: During the heating process of the power battery, it is detected whether the current temperature of the power battery has reached the target temperature. If the current temperature of the power battery has reached the target temperature, the heating of the power battery is stopped.

3. A battery-powered vehicle heating device, characterized in that, The device includes: The first acquisition module is used to acquire user driving data within a first period and statistically analyze the user's driving habits based on the user driving data within the first period. The module is used to build a heating strategy model based on the user's driving habits. The heating strategy model includes several habit labels. Each habit label is associated with a power value, a temperature value, and a first SOC value. The power value represents the power required by the user's habits. The temperature value and the first SOC value represent the temperature required when the output power of the power battery reaches the required power at the first SOC value. The second acquisition module is used to acquire current driving information and determine target habits based on the current driving information when the user triggers a driving command. The first determining module is used to determine the target power and target temperature based on the target habit and the heating strategy model; The third acquisition module is used to acquire the current temperature and the current SOC of the power battery; The first judgment module is used to determine whether the current power of the power battery is less than the target power based on the current temperature and the current SOC of the power battery. If the current power of the power battery is less than the target power, then it is determined whether the current temperature of the power battery is less than the target temperature. A heating control module is used to heat the power battery when the current temperature of the power battery is lower than the target temperature. The device also includes: The second judgment module is used to determine whether the current SOC of the power battery is less than the predetermined SOC. If the current SOC of the power battery is less than the predetermined SOC, the power battery is not heated. The device also includes: The fourth acquisition module is used to acquire user driving data within the second period and update the heating strategy model based on the user driving data within the second period.

4. The apparatus as described in claim 3, characterized in that, The device further includes: The detection module is used to detect whether the current temperature of the power battery has reached the target temperature during the heating process of the power battery. If the current temperature of the power battery has reached the target temperature, the heating of the power battery is stopped.

5. An electronic device, characterized in that, include: processor; as well as A memory configured to store machine-readable instructions that, when executed by the processor, perform the battery vehicle heating method as described in any one of claims 1-2.

6. A storage medium, characterized in that, The storage medium stores a computer program, which is executed by a processor as described in any one of claims 1-2, for the battery heating method in vehicle operation.

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