Vehicle battery heating strategy adjustment method and device, vehicle, and storage medium

Abstract

The application relates to a vehicle battery heating strategy adjustment method and device, a vehicle and a storage medium. The method comprises the following steps: obtaining historical charging data of vehicle charging; determining charging power of each charging station according to the historical charging data; determining target charging power of a target charging station according to the charging power of each charging station, wherein the target charging station is a charging station planned to charge the vehicle battery; and updating a heating strategy for heating the vehicle battery according to the target charging power. According to the scheme, the heating strategy for preheating the vehicle battery can be updated in real time according to the actual charging power of the charging station, the vehicle can preheat the vehicle battery more accurately according to the heating strategy, the temperature of the vehicle battery when the vehicle arrives at the charging station meets the charging demand, and the charging efficiency is improved.

Description

Technical Field

[0001] This application relates to the field of vehicle charging technology, and in particular to a method, apparatus, vehicle, and storage medium for adjusting vehicle battery heating strategy. Background Technology

[0002] Because battery activity is poor at low temperatures, which affects charging speed, related technologies aim to improve the charging efficiency of vehicle batteries. Instead of directly charging the battery after plugging in the charging gun, electric vehicles heat the battery for a period of time to bring it to the temperature required for charging before charging begins.

[0003] In related technologies, the user's charging intention is identified through user navigation information or user habitual information, and a thermal management strategy is adopted to preheat the vehicle battery. However, the thermal management strategy of these technologies is configured based on fixed power parameters calibrated by the target charging station, such as 250KW or 500KW. It cannot dynamically adjust the thermal management strategy according to the actual power of the target charging station, resulting in battery overheating, causing safety hazards, and affecting the actual range of the battery. Summary of the Invention

[0004] To address or partially address the problems existing in related technologies, this application provides a vehicle battery heating strategy adjustment method, apparatus, vehicle, and storage medium. This method can update the heating strategy for preheating the vehicle battery in real time according to the actual charging power of the charging station, enabling the vehicle to preheat the battery more accurately according to the heating strategy, so that the temperature of the vehicle battery meets the charging requirements when the vehicle arrives at the charging station, thereby improving charging efficiency.

[0005] The first aspect of this application provides a method for adjusting a vehicle battery heating strategy, the method comprising: Obtain historical charging data for the vehicle; Based on the historical charging data, the charging power of each charging station is determined; Based on the charging power of each charging station, the target charging power of the target charging station is determined, wherein the target charging station is a charging station planned to charge the vehicle battery. The heating strategy for heating the vehicle battery is updated based on the target charging power.

[0006] In one embodiment, determining the charging power of each charging station based on the historical charging data includes: Obtain the location information of each charging station; Based on the location information of each charging station, the historical charging data is allocated to each charging station, and the historical charging data of each charging station is obtained. The charging power that meets the preset conditions in the historical charging data of each charging station is determined as the charging power of each charging station.

[0007] In one embodiment, determining the charging power of each charging station as the charging power of each charging station based on the historical charging data that meets preset conditions includes: The maximum charging power in the historical charging data of each charging station is determined as the charging power of each charging station; or, The charging power of each charging station is determined from its historical charging data, where the charging time is a set time interval from the current time and the number of charging cycles reaches a set number; or, The charging power in the historical charging data of each charging station that matches the charging time with the current time is determined as the charging power of each charging station.

[0008] In one embodiment, the step of allocating the historical charging data to each charging station based on the location information of each charging station, and obtaining the historical charging data of each charging station, includes: Based on the location information of each charging station and the location information of the charging stations in the historical charging data, the historical charging data is allocated to each charging station to obtain the historical charging data of each charging station. The historical charging data of each charging station is cleaned to obtain the cleaned historical charging data of each charging station. The data cleaning includes at least one of the following: removing historical charging data with abnormal charging time, removing historical charging data with abnormal charging power, and removing duplicate historical charging data.

[0009] In one embodiment, obtaining the location information of each charging station includes: Obtain the location information of the charging station; Calculate the distance between the charging piles based on their location information; Based on the distance between the charging piles, cluster analysis is performed on the charging piles to obtain a charging pile cluster including at least one of the charging piles, and one charging pile cluster is regarded as a charging station. The location information of each charging station is obtained based on the location information of at least one of the charging piles included in each charging station.

[0010] In one embodiment, updating the heating strategy for heating the vehicle battery based on the target charging power includes: The heating strategy for heating the vehicle battery is updated based on the target charging power and the remaining charge of the vehicle battery. The heating strategy includes at least one of heating temperature and heating power.

[0011] In one embodiment, the method further includes: The charging data of the vehicle battery at the target charging station is added to the historical charging data of the vehicle, thus updating the historical charging data of the vehicle.

[0012] A second aspect of this application provides a vehicle battery heating strategy adjustment device, the device comprising: The data acquisition module is used to acquire historical charging data of the vehicle. The first power determination module is used to determine the charging power of each charging station based on the historical charging data obtained by the data acquisition module. The second power determination module is used to determine the target charging power of the target charging station based on the charging power of each charging station determined by the first power determination module. The target charging station is a charging station planned to charge the vehicle battery. The heating strategy update module is used to update the heating strategy of the vehicle battery according to the target charging power determined by the second power determination module.

[0013] A third aspect of this application provides a vehicle, comprising: Processor; and A memory that stores executable code, which, when executed by the processor, causes the processor to perform the method described above.

[0014] A fourth aspect of this application provides a computer-readable storage medium having executable code stored thereon, which, when executed by a processor, causes the processor to perform the method described above.

[0015] The fifth aspect of this application provides a computer program product comprising computer instructions that, when executed by a processor, implement the method described above.

[0016] The technical solution provided in this application may include the following beneficial results: The technical solution of this application determines the charging power of each charging station based on historical charging data of the vehicle; determines the target charging power of the target charging station based on the charging power of each charging station; and updates the heating strategy for heating the vehicle battery based on the target charging power. This allows the actual charging power of the charging station to be obtained from the historical charging data, and the heating strategy for preheating the vehicle battery to be re-determined and updated based on the actual charging power. This overcomes the problem of inaccurate charging power calibration or charging station malfunction leading to inaccurate charging power and subsequent overheating of the vehicle battery. The vehicle battery heating strategy adjustment method of this application obtains the actual charging power of the charging station in real time from the historical charging data of the vehicle, and updates the preheating strategy for the vehicle battery in real time based on the actual charging power. This enables the vehicle to preheat the battery more accurately according to the heating strategy, avoiding the risk of overheating and ensuring that the battery temperature meets the charging requirements when the vehicle arrives at the charging station, thus improving charging efficiency. It should be understood that the above general description and the following detailed description are exemplary and explanatory only, and do not limit this application. Attached Figure Description

[0017] The above and other objects, features and advantages of this application will become more apparent from the more detailed description of exemplary embodiments thereof in conjunction with the accompanying drawings, wherein the same reference numerals generally represent the same components in the exemplary embodiments thereof.

[0018] Figure 1 This is a schematic flowchart illustrating the vehicle battery heating strategy adjustment method according to an embodiment of this application; Figure 2 This is a schematic flowchart illustrating a vehicle battery heating strategy adjustment method according to another embodiment of this application; Figure 3 This is a schematic diagram of the structure of the vehicle battery heating strategy adjustment device shown in the embodiments of this application; Figure 4 This is a schematic diagram of the structure of a vehicle battery heating strategy adjustment device shown in another embodiment of this application; Figure 5 This is a schematic diagram of the vehicle structure shown in the embodiments of this application. Detailed Implementation

[0019] Embodiments of this application will now be described in more detail with reference to the accompanying drawings. While embodiments of this application are shown in the drawings, it should be understood that this application may be implemented in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided to make this application more thorough and complete, and to fully convey the scope of this application to those skilled in the art.

[0020] The terminology used in this application is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. The singular forms “a,” “the,” and “the” used in this application and the appended claims are also intended to include the plural forms unless the context clearly indicates otherwise. It should also be understood that the term “and / or” as used herein refers to and includes any or all possible combinations of one or more of the associated listed items.

[0021] It should be understood that although the terms "first," "second," "third," etc., may be used in this application to describe various information, this information should not be limited to these terms. These terms are only used to distinguish information of the same type from one another. For example, without departing from the scope of this application, first information may also be referred to as second information, and similarly, second information may also be referred to as first information. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of this application, "multiple" means two or more, unless otherwise explicitly specified.

[0022] This application provides a method for adjusting the vehicle battery heating strategy, which can update the preheating strategy of the vehicle battery in real time according to the actual charging power of the charging station. This allows the vehicle to preheat the battery more accurately according to the heating strategy, so that the temperature of the vehicle battery meets the charging requirements when the vehicle arrives at the charging station, thereby improving charging efficiency.

[0023] The technical solutions of the embodiments of this application are described in detail below with reference to the accompanying drawings.

[0024] Figure 1 This is a schematic flowchart illustrating the vehicle battery heating strategy adjustment method according to an embodiment of this application.

[0025] See Figure 1 A method for adjusting a vehicle battery heating strategy, comprising: Step 101: Obtain historical charging data for the vehicle.

[0026] In one embodiment, historical charging data of the vehicle can be obtained from a server or data management platform. During the charging process at a charging station, the vehicle or charging station can collect information on the charging time, charging power, and charging station location, and upload this information to the server or data management platform. The server or data management platform stores the charging time, charging power, and charging station location information uploaded by different vehicles or charging stations, generating historical charging data for the vehicle.

[0027] Step 102: Determine the charging power of each charging station based on historical charging data.

[0028] In one embodiment, historical charging data can be matched to various charging stations based on the location information of charging piles and individual charging stations in the historical charging data to obtain the historical charging data of each charging station. Based on the charging power in the historical charging data of each charging station, the charging power that meets preset conditions in the historical charging data of each charging station is determined as the charging power of each charging station. Each charging station includes at least one charging pile, and the location information of each charging station can be represented by the location information of the at least one charging pile.

[0029] Step 103: Determine the target charging power of the target charging station based on the charging power of each charging station.

[0030] In one embodiment, the target charging station for vehicle charging can be obtained based on the vehicle's current location information and / or navigation information; based on the location information of each charging station and the location information of the target charging station, a charging station matching the location information of the target charging station can be obtained; the charging power of the charging station matching the location information of the target charging station can be determined as the target charging power of the target charging station, where the target charging station is a charging station planned to charge the vehicle battery.

[0031] Step 104: Update the heating strategy for heating the vehicle battery based on the target charging power. In one embodiment, a heating strategy for preheating the vehicle battery starting from the current moment can be obtained in real time based on the target charging power of the target charging station and the remaining charge of the vehicle battery. According to the heating strategy, the vehicle battery is preheated at the current moment to ensure that the vehicle battery temperature meets the charging requirements when the vehicle arrives at the target charging station, thereby ensuring charging safety, maximizing charging efficiency, and not affecting the user's range.

[0032] The vehicle battery heating strategy adjustment method of this application embodiment determines the charging power of each charging station based on historical charging data of the vehicle; determines the target charging power of the target charging station based on the charging power of each charging station; and updates the heating strategy for heating the vehicle battery based on the target charging power. This allows the actual charging power of the charging station to be obtained from the historical charging data of the vehicle, and the heating strategy for preheating the vehicle battery to be re-determined based on the actual charging power of the charging station. This overcomes the problem of inaccurate charging power calibration or charging power inaccuracies caused by charging station damage, which can lead to overheating of the vehicle battery. The vehicle battery heating strategy adjustment method of this application embodiment obtains the actual charging power of the charging station in real time from the historical charging data of the vehicle, and can update the preheating strategy for preheating the vehicle battery in real time based on the actual charging power of the charging station. This allows the vehicle to preheat the battery more accurately according to the heating strategy, avoiding the risk of overheating the vehicle battery, ensuring that the temperature of the vehicle battery meets the charging requirements when the vehicle arrives at the charging station, and improving charging efficiency.

[0033] Figure 2 This is a flowchart illustrating a vehicle battery heating strategy adjustment method according to another embodiment of this application. Figure 2 Compared to Figure 1 The scheme of this application is described in more detail.

[0034] See Figure 2 A method for adjusting a vehicle battery heating strategy, comprising: Step 201: Obtain the location information of each charging station based on the location information of at least one charging pile included in each charging station.

[0035] In one embodiment, the location information of the charging piles can be obtained; the distance between the charging piles can be calculated based on the location information of the charging piles; the charging piles can be clustered based on the distance between them to obtain a charging pile cluster including at least one charging pile, and a charging pile cluster can be regarded as a charging station; the location information of each charging station can be obtained based on the location information of at least one charging pile included in each charging station.

[0036] In one embodiment, the location information of a charging pile can be obtained from charging pile information published by a third party, or from a navigation map stored in a cloud server or local storage. The location information of the charging pile may include the longitude, latitude, and altitude of the charging pile.

[0037] In one embodiment, the Euclidean distance between charging piles can be calculated based on the location information of the charging piles.

[0038] For example, if the longitude, latitude, and altitude of charging pile A are (x1, y1, z1), and the longitude, latitude, and altitude of charging pile B are (x2, y2, z2), then the Euclidean distance between charging pile A and charging pile B is d; where, .

[0039] In one embodiment, Euclidean distance is a straight-line distance in three-dimensional space. Latitude and longitude distance is a great-circle distance on the Earth's surface. The Euclidean distance between charging stations can be converted into a latitude and longitude distance between charging stations to obtain a more accurate distance between them.

[0040] In one embodiment, a dynamic density clustering algorithm can be used to perform cluster analysis on the charging piles based on the latitude and longitude distance between them, dividing the charging piles into different clusters. Charging piles whose latitude and longitude distance meets a set distance threshold are clustered into a charging pile cluster, and a charging pile cluster is regarded as a charging station.

[0041] For example, based on the latitude and longitude distance between charging piles, a dynamic density clustering algorithm is used to dynamically adjust the clustering threshold and perform cluster analysis on the charging piles, dividing the charging piles into different clusters. Charging piles with a latitude and longitude distance of less than 200 meters are clustered into a charging pile cluster, and the latitude and longitude distance between charging pile clusters is greater than 500 meters. That is, the maximum latitude and longitude distance between charging piles within a charging pile cluster is less than 200 meters, and the minimum latitude and longitude distance between charging pile clusters is greater than 500 meters.

[0042] Step 202: Based on the location information of each charging station, distribute the historical charging data to each charging station and obtain the historical charging data of each charging station.

[0043] In one embodiment, the charging station includes at least one charging pile, and the location information of the charging station can be represented by the location information of each charging pile. The location information of each charging station can be obtained by using the location information of the charging piles in each charging station as the location information of each charging station; historical charging data can be allocated to each charging station based on the location information of each charging station to obtain the historical charging data of each charging station.

[0044] In one embodiment, historical charging data includes the vehicle's historical charging time, historical charging power, and charging station location information at charging stations. During the charging process at a charging station, the charging time, charging power, and charging station location information can be collected and uploaded to a server or data management platform. The server or data management platform stores the uploaded charging time, charging power, charging station location information, and vehicle information to generate historical charging data for the vehicle.

[0045] In one embodiment, historical charging data can be recursively allocated to each charging station based on the location information of each charging station and the location information of charging stations in historical charging data, thereby obtaining the historical charging data of each charging station. Historical charging data can be obtained from a server or data management platform. This historical charging data can be charging data that is separated from the current time by a set time interval (e.g., charging data within 6 months of the current time, i.e., charging data from 6 months prior to the current time). Based on the location information of each charging pile in each charging station and the location information of charging piles in the historical charging data, the historical charging data is mapped to each charging pile in each charging station, thereby obtaining the historical charging data of each charging pile in each charging station. Based on the historical charging data of each charging pile in each charging station, the historical charging data of each charging station is determined.

[0046] In one embodiment, the Euclidean distance between the charging piles in the historical charging data and the charging piles in each charging station can be calculated based on the location information of each charging pile in each charging station and the location information of the charging piles in the historical charging data. The KD-Tree (K-Dimensional, a tree data structure that stores instance points in k-dimensional space for fast retrieval) algorithm is used to match the charging piles in the historical charging data that have an Euclidean distance of less than 50 meters from the charging piles in each charging station as the same charging pile. The historical charging data is then mapped to the charging piles in each charging station to obtain the historical charging data of each charging station.

[0047] Step 203: Clean the historical charging data of each charging station to obtain the cleaned historical charging data of each charging station.

[0048] In one embodiment, the historical charging data of each charging station can be cleaned based on the charging time and charging power included in the historical charging data of each charging station to obtain cleaned historical charging data for each charging station. Data cleaning includes at least one of the following: removing historical charging data with abnormal charging time, removing historical charging data with abnormal charging power (e.g., excessively high, low, or excessively fluctuating charging power), and removing duplicate historical charging data. Historical charging data with abnormal charging time includes charging data where the charging time is less than a first set time threshold (too short, e.g., a vehicle battery that normally requires 5 hours to fully charge is shown as fully charged in 1 hour), and charging data where the charging time is greater than a second set time threshold (too long, e.g., a vehicle battery that normally requires 5 hours to fully charge is shown as having a charging time of 10 hours). Charging data with abnormal charging power includes charging data where the charging power is greater than a first set power threshold (excessively high charging power), charging data where the charging power is less than a second set power threshold (excessively low charging power), and charging data where the charging power fluctuation exceeds a set threshold for the number of changes (excessively large charging power fluctuation). Charging power fluctuation is a common phenomenon during battery charging, referring to unstable changes in power output during the charging process. Repeated historical charging data refers to charging data where the same or highly similar charging parameters occur multiple times during battery charging.

[0049] Step 204: Determine the charging power of each charging station based on the historical charging data after data cleaning.

[0050] In one embodiment, the charging power that meets the preset conditions in the historical charging data of each charging station can be determined as the charging power of each charging station, including: determining the maximum charging power in the historical charging data of each charging station as the charging power of each charging station; or, determining the charging power in the historical charging data of each charging station that is separated from the current time by a preset time and has reached a preset number of charging times as the charging power of each charging station; or, determining the charging power in the historical charging data of each charging station whose charging time matches the current time as the charging power of each charging station.

[0051] In one embodiment, the maximum charging power in the cleaned historical charging data of each charging station can be determined as the charging power of the corresponding charging station. For a charging station, the cleaned historical charging data of the charging station can be statistically analyzed to obtain the maximum charging power in the cleaned historical charging data of the charging station, and this maximum charging power can be determined as the charging power of the charging station.

[0052] In one embodiment, the charging power of each charging station can be determined by the charging power of the historical charging data after data cleaning, which is separated from the current time by a set time interval and has reached a set number of charging times. For example, for a charging station, the current time is T (e.g., 8:00 AM today), and the historical time Tt (e.g., 7:00 AM today) is separated from the current time T by a set time interval (e.g., 1 hour). The historical charging data of the charging station from the current time T to the historical time Tt after data cleaning is obtained. The historical charging data after data cleaning is statistically analyzed. If the number of times charging with charging power P0 reaches a set number (e.g., 5 times) in the historical charging data from the current time T to the historical time Tt after data cleaning, the charging power P0 can be determined as the charging power of the charging station.

[0053] In one embodiment, the charging power in the cleaned historical charging data of each charging station whose charging time matches the current time can be determined as the charging power of each charging station. For example, for a charging station, the charging time in the cleaned historical charging data of that charging station can be matched with the current time to obtain the cleaned historical charging data of that charging station whose charging time matches the current time, and the charging power in the cleaned historical charging data of that charging station whose charging time matches the current time can be determined as the charging power of that charging station.

[0054] Step 205: Obtain the target charging station for vehicle charging based on the vehicle's current location information and / or navigation information.

[0055] In one embodiment, navigation information for navigating the vehicle to a charging station can be obtained based on the vehicle's current location information; based on the navigation information, the target charging station for charging the vehicle can be obtained, where the target charging station is a charging station planned for charging the vehicle's battery.

[0056] In one embodiment, the vehicle's current location information, including longitude, latitude, and altitude, can be obtained in real time through a positioning module.

[0057] In one embodiment, navigation information may refer to route planning information where the user sets the navigation destination to a charging station. Specifically, the navigation destination can be determined by obtaining route planning information from the in-vehicle map. When the navigation starting point is the vehicle's current location and the navigation destination is a charging station, this navigation information is the navigation information required in this embodiment.

[0058] Step 206: Determine the target charging power of the target charging station based on the charging power of each charging station, and update the heating strategy for heating the vehicle battery based on the target charging power of the target charging station.

[0059] In one embodiment, a charging station matching the location information of the target charging station can be obtained based on the location information of the target charging station; and the target charging power of the target charging station can be determined based on the charging power of the charging station matching the location information of the target charging station.

[0060] In one embodiment, the heating strategy for heating the vehicle battery can be updated based on the target charging power of the target charging station and the remaining charge of the vehicle battery. The heating strategy includes at least one of heating temperature and heating power.

[0061] In one embodiment, the heating parameters of the vehicle battery at the current moment can be obtained in real time by consulting the battery MAP table provided by the battery supplier, based on the target charging power of the target charging station and the remaining charge of the vehicle battery. The heating parameters include heating temperature and heating power. Based on the heating parameters of the vehicle battery at the current moment, the heating strategy for heating the vehicle battery is updated. The heating strategy includes at least one of heating temperature and heating power. The vehicle battery at the current moment is preheated according to the heating temperature and heating power of the heating strategy to ensure that the vehicle battery temperature meets the charging requirements when the vehicle arrives at the target charging station, thereby ensuring charging safety, maximizing charging efficiency, and not affecting the user's range.

[0062] In one embodiment, the battery MAP table is a key lookup model in the battery management system (BMS). It is a two-dimensional matrix constructed based on parameters such as battery temperature, SOC (state of charge), charging power, heating temperature, and heating power. It is used to dynamically determine the maximum allowable power or current limits for battery charging and discharging, ensuring that the battery operates within safe boundaries. Step 207: Add the vehicle battery charging data at the target charging station to the vehicle's historical charging data, updating the historical charging data; then execute step 201.

[0063] In one embodiment, charging data of the vehicle battery being charged at the charging pile of the target charging station can be collected, and the collected charging data can be dynamically updated to the historical charging data of the vehicle. At a set time interval, step 201 is executed to dynamically update the charging power of each charging station based on the dynamically updated historical charging data of the vehicle.

[0064] The vehicle battery heating strategy adjustment method of this application embodiment determines the charging power of each charging station based on historical charging data of the vehicle; determines the target charging power of the target charging station based on the charging power of each charging station; and updates the heating strategy for heating the vehicle battery based on the target charging power. This allows the actual charging power of the charging station to be obtained from the historical charging data of the vehicle, and the heating strategy for preheating the vehicle battery to be re-determined and updated based on the actual charging power of the charging station. This overcomes the problem of inaccurate charging power calibration or charging power inaccuracies caused by charging station damage, which can lead to overheating of the vehicle battery. The vehicle battery heating strategy adjustment method of this application embodiment obtains the actual charging power of the charging station in real time from the historical charging data of the vehicle, and updates the preheating strategy for preheating the vehicle battery in real time based on the actual charging power of the charging station. This enables the vehicle to preheat the battery more accurately according to the heating strategy, avoiding the risk of overheating the vehicle battery, ensuring that the temperature of the vehicle battery meets the charging requirements when the vehicle arrives at the charging station, and improving charging efficiency.

[0065] Furthermore, the vehicle battery heating strategy adjustment method of this application embodiment obtains the location information of charging piles; calculates the distance between charging piles based on the location information; performs cluster analysis on the charging piles based on the distance between them to obtain a charging pile cluster including at least one charging pile, and treats a charging pile cluster as a charging station. The density clustering method based on the location information of the charging piles ensures that charging piles at the same charging station are clustered together, and the charging power of historical charging data is recursively allocated to each charging pile based on the location information. This enables the rational allocation of charging pile resources, effectively solves the problem of too many vehicles charging at the same charging station affecting charging speed, and further improves the predictability and efficiency of vehicle battery charging.

[0066] Furthermore, the vehicle battery heating strategy adjustment method of this application embodiment determines the maximum charging power in the historical charging data of each charging station as the charging power of each charging station; determines the target charging power of the target charging station based on the charging power of each charging station; and updates the heating strategy for heating the vehicle battery based on the target charging power of the target charging station and the remaining charge of the vehicle battery. This real-time dynamic update of the preheating strategy for the vehicle battery based on the maximum charging power in the historical charging data of the charging station further improves the charging efficiency of the vehicle battery. By dynamically adjusting the vehicle battery heating strategy according to the actual charging power of the charging station in the historical charging data, the overheating problem that may be caused by a fixed charging station charging power can be avoided, effectively reducing the risk of battery overheating and effectively ensuring the actual range and charging safety of the battery, which is expected to increase the range by 5-20 kilometers.

[0067] Furthermore, the vehicle battery heating strategy adjustment method of this application embodiment adds the vehicle battery charging data at the target charging station to the vehicle's historical charging data, updating the historical charging data; based on the dynamically updated historical charging data, the charging power of each charging station is dynamically updated, achieving dynamic updating of the charging power of each charging station. This avoids battery overheating problems that may occur due to fixed charging station charging power, effectively reducing the risk of battery overheating and effectively ensuring the actual range and charging safety of the battery; it can obtain the actual charging power of the charging station in real time and update the preheating strategy for the vehicle battery in real time based on the actual charging power, enabling the vehicle to preheat the battery more accurately according to the heating strategy, ensuring that the vehicle battery temperature meets charging requirements when the vehicle arrives at the charging station, and improving charging efficiency.

[0068] Corresponding to the aforementioned application function implementation method embodiments, this application also provides a vehicle battery heating strategy adjustment device, a vehicle, and corresponding embodiments.

[0069] Figure 3 This is a schematic diagram of the structure of the vehicle battery heating strategy adjustment device shown in the embodiments of this application.

[0070] See Figure 3 A vehicle battery heating device includes a data acquisition module 301, a first power determination module 302, a second power determination module 303, and a heating strategy update module 304. The data acquisition module 301 is used to acquire historical charging data of the vehicle.

[0071] In one embodiment, the data acquisition module 301 can obtain historical charging data of the vehicle from a server or data management platform. During the charging process at a charging station, the vehicle or charging station can collect the charging time, charging power, and charging station location information of the vehicle at that charging station, and upload the collected charging time, charging power, and charging station location information to the server or data management platform. The server or data management platform stores the charging time, charging power, and charging station location information uploaded by different vehicles or charging stations, generating historical charging data of the vehicle.

[0072] The first power determination module 302 is used to determine the charging power of each charging station based on the historical charging data obtained by the data acquisition module 301.

[0073] In one embodiment, the first power determination module 302 can match the historical charging data to each charging station based on the location information of the charging piles and each charging station in the historical charging data, and obtain the historical charging data of each charging station; based on the charging power in the historical charging data of each charging station, the charging power that meets the preset conditions in the historical charging data of each charging station is determined as the charging power of each charging station. Each charging station includes at least one charging pile, and the location information of each charging station can be represented by the location information of the at least one charging pile.

[0074] The second power determination module 303 is used to determine the target charging power of the target charging station based on the charging power of each charging station determined by the first power determination module 302. The target charging station is a charging station planned to charge the vehicle battery.

[0075] In one embodiment, the second power determination module 303 can obtain the target charging station for vehicle charging based on the vehicle's current location information and / or navigation information; based on the location information of each charging station and the location information of the target charging station, it can obtain the charging station that matches the location information of the target charging station, and determine the charging power of the charging station that matches the location information of the target charging station as the target charging power of the target charging station, wherein the target charging station is a charging station planned to charge the vehicle battery.

[0076] The heating strategy update module 304 is used to update the heating strategy of the vehicle battery according to the target charging power determined by the second power determination module 303.

[0077] In one embodiment, the heating strategy update module 304 can obtain a heating strategy for preheating the vehicle battery from the current moment based on the target charging power of the target charging station and the remaining charge of the vehicle battery. According to the heating strategy, the vehicle battery is preheated at the current moment to ensure that the vehicle battery temperature meets the charging requirements when the vehicle arrives at the target charging station, thereby ensuring charging safety, maximizing charging efficiency, and not affecting the user's range.

[0078] The technical solution of this application embodiment determines the charging power of each charging station based on historical charging data of the vehicle; determines the target charging power of the target charging station based on the charging power of each charging station; and updates the heating strategy for heating the vehicle battery based on the target charging power. This allows the actual charging power of the charging station to be obtained from the historical charging data of the vehicle, and the heating strategy for preheating the vehicle battery to be re-determined based on the actual charging power of the charging station. This overcomes the problem of inaccurate charging power calibration or charging power inaccuracies caused by charging station damage, which can lead to overheating of the vehicle battery. The technical solution of this application embodiment obtains the actual charging power of the charging station in real time from the historical charging data of the vehicle, and updates the preheating strategy for the vehicle battery in real time based on the actual charging power of the charging station. This allows the vehicle to preheat the battery more accurately according to the heating strategy, avoiding the risk of overheating the vehicle battery, ensuring that the vehicle battery temperature meets the charging requirements when the vehicle arrives at the charging station, and improving charging efficiency.

[0079] Figure 4 This is a schematic diagram of the structure of a vehicle battery heating strategy adjustment device shown in another embodiment of this application.

[0080] See Figure 4 A vehicle battery heating strategy adjustment device includes a data acquisition module 301, a first power determination module 302, a second power determination module 303, a heating strategy update module 304, and a data update module 401. The data acquisition module 301 is used to acquire historical charging data that is separated from the current time by a set time interval.

[0081] The first power determination module 302 is used to obtain the location information of each charging station based on the location information of at least one charging pile included in each charging station; allocate the historical charging data obtained by the data acquisition module 301 to each charging station according to the location information of each charging station, and obtain the historical charging data of each charging station; perform data cleaning on the historical charging data of each charging station to obtain the data-cleaned historical charging data of each charging station; and determine the charging power of each charging station based on the data-cleaned historical charging data of each charging station.

[0082] The second power determination module 303 is used to obtain the target charging station for vehicle charging based on the vehicle's current location information and / or navigation information; and to determine the target charging power of the target charging station based on the charging power of each charging station determined by the first power determination module 302.

[0083] The heating strategy update module 304 is used to update the heating strategy of the vehicle battery according to the target charging power of the target charging station determined by the second power determination module 303.

[0084] The data update module 401 adds the vehicle battery charging data at the target charging station to the vehicle's historical charging data, thus updating the vehicle's historical charging data.

[0085] Regarding the apparatus in the above embodiments, the specific manner in which each module performs its operation has been described in detail in the embodiments related to the method, and will not be elaborated further here.

[0086] Figure 5 This is a schematic diagram of the vehicle structure shown in the embodiments of this application.

[0087] See Figure 5 The vehicle 1000 includes a memory 1010 and a processor 1020.

[0088] The processor 1020 can be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor can be a microprocessor or any conventional processor. Memory 1010 may include various types of storage units, such as system memory, read-only memory (ROM), and permanent storage devices. ROM may store static data or instructions required by processor 1020 or other modules of the computer. Permanent storage devices may be read-write storage devices. Permanent storage devices may be non-volatile storage devices that retain stored instructions and data even when the computer is powered off. In some embodiments, permanent storage devices use mass storage devices (e.g., magnetic or optical disks, flash memory) as permanent storage devices. In other embodiments, permanent storage devices may be removable storage devices (e.g., floppy disks, optical drives). System memory may be a read-write storage device or a volatile read-write storage device, such as dynamic random access memory. System memory may store some or all of the instructions and data required by the processor during operation. Furthermore, memory 1010 may include any combination of computer-readable storage media, including various types of semiconductor memory chips (e.g., DRAM, SRAM, SDRAM, flash memory, programmable read-only memory), and disks and / or optical disks may also be used. In some embodiments, memory 1010 may include a removable storage device that is readable and / or writable, such as a laser disc (CD), a read-only digital multifunction optical disc (e.g., DVD-ROM, dual-layer DVD-ROM), a read-only Blu-ray disc, an ultra-high density optical disc, a flash memory card (e.g., SD card, mini SD card, Micro-SD card, etc.), a magnetic floppy disk, etc. Computer-readable storage media do not contain carrier waves or transient electronic signals transmitted wirelessly or via wired connections.

[0089] The memory 1010 stores executable code, which, when processed by the processor 1020, can cause the processor 1020 to execute part or all of the methods described above.

[0090] Furthermore, the method according to this application can also be implemented as a computer program or computer program product, which includes computer program code instructions for performing some or all of the steps in the method described above.

[0091] Alternatively, this application may also be implemented as a computer-readable storage medium (or a non-transitory machine-readable storage medium or a machine-readable storage medium) storing executable code (or computer program or computer instruction code) that, when executed by a processor of a vehicle (or electronic device, or server, etc.), causes the processor to perform part or all of the steps of the methods described above according to this application.

[0092] This application also provides a computer program product, which includes computer instructions that, when executed by a processor, implement the method described above.

[0093] The various embodiments of this application have been described above. These descriptions are exemplary and not exhaustive, nor are they limited to the disclosed embodiments. Many modifications and variations will be apparent to those skilled in the art without departing from the scope and spirit of the described embodiments. The terminology used herein is chosen to best explain the principles, practical application, or improvement of the technology in the market, or to enable others skilled in the art to understand the embodiments disclosed herein.

Claims

1. A method for adjusting the heating strategy of a vehicle battery, characterized in that, include: Obtain historical charging data for the vehicle; Based on the historical charging data, the charging power of each charging station is determined, including: acquiring the location information of each charging station; allocating the historical charging data to each charging station according to the location information, and acquiring the historical charging data of each charging station; determining the charging power of each charging station that meets preset conditions from the historical charging data of each charging station as the charging power of each charging station; wherein... The step of obtaining the location information of each charging station includes: obtaining the location information of charging piles; calculating the distance between the charging piles based on the location information of the charging piles; performing cluster analysis on the charging piles based on the distance between the charging piles to obtain a charging pile cluster including at least one of the charging piles, and taking one charging pile cluster as a charging station; obtaining the location information of each charging station based on the location information of at least one of the charging piles included in each charging station. The step of allocating the historical charging data to each charging station based on the location information of each charging station, and obtaining the historical charging data of each charging station, includes: allocating the historical charging data to each charging station based on the location information of each charging station and the location information of the charging stations in the historical charging data, and obtaining the historical charging data of each charging station; performing data cleaning on the historical charging data of each charging station to obtain the data-cleaned historical charging data of each charging station, wherein the data cleaning includes at least one of removing historical charging data with abnormal charging time, removing historical charging data with abnormal charging power, and removing duplicate historical charging data; Based on the charging power of each charging station, the target charging power of the target charging station is determined, wherein the target charging station is a charging station planned to charge the vehicle battery. The heating strategy for heating the vehicle battery is updated based on the target charging power.

2. The method according to claim 1, characterized in that, The step of determining the charging power of each charging station as the charging power of each charging station based on the historical charging data that meets the preset conditions includes: The maximum charging power in the historical charging data of each charging station is determined as the charging power of each charging station; or, The charging power of each charging station is determined from its historical charging data, where the charging power is at least a set time interval from the current time and has been charged a set number of times; or, The charging power in the historical charging data of each charging station that matches the charging time with the current time is determined as the charging power of each charging station.

3. The method according to claim 1, characterized in that, The step of updating the heating strategy for heating the vehicle battery based on the target charging power includes: The heating strategy for heating the vehicle battery is updated based on the target charging power and the remaining charge of the vehicle battery. The heating strategy includes at least one of heating temperature and heating power.

4. The method according to claim 1, characterized in that, The method further includes: The charging data of the vehicle battery at the target charging station is added to the historical charging data of the vehicle, thus updating the historical charging data of the vehicle.

5. A vehicle battery heating strategy adjustment device, characterized in that, include: The data acquisition module is used to acquire historical charging data of the vehicle. The first power determination module is used to determine the charging power of each charging station based on historical charging data acquired by the data acquisition module. This includes: acquiring the location information of each charging station; allocating the historical charging data to each charging station based on the location information; acquiring the historical charging data of each charging station; and determining the charging power of each charging station that meets preset conditions from the historical charging data of each charging station as the charging power of that charging station. The step of obtaining the location information of each charging station includes: obtaining the location information of charging piles; calculating the distance between the charging piles based on the location information of the charging piles; performing cluster analysis on the charging piles based on the distance between the charging piles to obtain a charging pile cluster including at least one of the charging piles, and taking one charging pile cluster as a charging station; obtaining the location information of each charging station based on the location information of at least one of the charging piles included in each charging station. The step of allocating the historical charging data to each charging station based on the location information of each charging station, and obtaining the historical charging data of each charging station, includes: allocating the historical charging data to each charging station based on the location information of each charging station and the location information of the charging stations in the historical charging data, and obtaining the historical charging data of each charging station; performing data cleaning on the historical charging data of each charging station to obtain the data-cleaned historical charging data of each charging station, wherein the data cleaning includes at least one of removing historical charging data with abnormal charging time, removing historical charging data with abnormal charging power, and removing duplicate historical charging data; The second power determination module is used to determine the target charging power of the target charging station based on the charging power of each charging station determined by the first power determination module. The target charging station is a charging station planned to charge the vehicle battery. The heating strategy update module is used to update the heating strategy of the vehicle battery according to the target charging power determined by the second power determination module.

6. A vehicle, characterized in that, include: processor; as well as A memory having executable code stored thereon, which, when executed by the processor, causes the processor to perform the method as described in any one of claims 1-4.

7. A computer-readable storage medium, characterized in that: It stores executable code that, when executed by a processor, causes the processor to perform the method as described in any one of claims 1-4.

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