Method and apparatus for preheating battery for charging, vehicle, electronic device and storage medium

Abstract

The present disclosure discloses a method and apparatus for preheating a battery for charging, a vehicle, an electronic device and a storage medium. The method comprises: after determining charging intention information of a vehicle by means of responding to a charging instruction, acquiring current battery state information of a battery of the vehicle and a current ambient temperature; inputting the current battery state information and the current ambient temperature into a target preheating temperature simulation model, to obtain a target preheating temperature for the battery; inputting a real-time traveling parameter and historical traveling information of the vehicle into the target preheating temperature simulation model, so as to acquire a target duration required to heat to the target preheating temperature; on the basis of the duration required to heat to the target preheating temperature, determining a battery preheating start time point; when the battery preheating start time point is reached, controlling the battery to be preheated to the target preheating temperature.

Description

Battery charging preheating method and device, vehicle, electronic device and storage medium

[0001] CROSS-REFERENCE TO RELATED APPLICATIONS

[0002] This disclosure claims priority to a Chinese patent application filed with the Patent Office of China on October 31, 2023, with application number 202311436264.7 and titled “Battery Charging Preheating Method and Device, Vehicle, Electronic Device and Storage Medium,” the entire contents of which are incorporated by reference into this disclosure. Technical Field

[0003] The present disclosure relates to the field of vehicle technology, and in particular to a battery charging and preheating method and device, a vehicle, an electronic device, and a storage medium. Background Art

[0004] The charging speed of power batteries is crucial to the application of electric vehicles. Lithium battery charging conditions are complex and variable, with significant variations in charging capacity at different temperatures and with varying levels of remaining charge. In winter in northern my country, battery temperatures can drop as low as -10°C to -20°C, reducing the permissible charging capacity by 80%-90% compared to a normal temperature of 25°C. This significant reduction in charging capacity impacts the user's charging experience.

[0005] In order to solve the problem of significantly reduced battery charging capacity at low temperatures, related technologies use a user-issued instruction to heat the battery. This instruction can be used to heat the battery in advance during driving, so that the battery is at the optimal charging temperature when it arrives at the charging station. However, this preheating method requires the user to determine the time to start battery preheating, and cannot dynamically adjust the time and power of battery preheating. It also cannot determine the optimal time to start battery preheating, which may result in greater vehicle energy consumption and cause the vehicle to lose excessive mileage.

[0006] Summary of the Invention

[0007] This disclosure provides a battery charging preheating method and device, a vehicle, an electronic device, and a storage medium. Its primary purpose is to address the issue of preheating the battery during driving, which significantly reduces charging capacity and can lead to significant energy consumption and a consequent loss of range.

[0008] According to a first aspect of the present disclosure, a battery charging preheating method is provided, comprising:

[0009] After determining the charging intention information of the vehicle by responding to the charging instruction, the current battery status information of the vehicle battery and the current ambient temperature are input into the simulation model to obtain the target preheating temperature of the battery;

[0010] Obtaining a target time required for heating the vehicle to the target preheating temperature based on the vehicle's real-time driving parameters, historical driving information, and a first mapping table, wherein the first mapping table includes preset correspondences between the time required for heating the vehicle to the preheating temperature and the driving parameters and historical driving information;

[0011] Determine the start time of battery preheating based on the target duration;

[0012] When the start-up time is reached, the battery is controlled to be preheated to the target preheating temperature.

[0013] Optionally, the charging instruction includes: a search instruction for a charging pile in map navigation and a pre-configured timed charging instruction;

[0014] The determining of the vehicle's charging intention information by responding to the charging instruction includes:

[0015] Determining the charging intention information according to a search instruction for a charging pile in map navigation;

[0016] Alternatively, the charging intention information is determined according to a pre-configured timed charging instruction.

[0017] Optionally, the current battery status information includes: current battery remaining power and current battery temperature;

[0018] The step of inputting the current battery status information and the current ambient temperature of the vehicle battery into the simulation model to obtain the target preheating temperature of the battery includes:

[0019] The current remaining battery power, the current battery temperature, and the current ambient temperature are input into the simulation model to obtain a target preheating temperature of the battery; wherein the simulation model determines the target preheating temperature through a second mapping table, and the second mapping table includes correspondences between the remaining battery power, the battery temperature, and the ambient temperature, respectively, and the preheating temperature, and the correspondences are pre-calculated.

[0020] Optionally, obtaining the target time required for heating to the target preheating temperature according to the real-time vehicle driving parameters, historical driving information, and the first mapping table includes:

[0021] Calculating the actual distance information from the target charging pile and the vehicle's driving speed to obtain an estimated driving time to the target charging pile, wherein the vehicle's real-time driving parameters include: the actual distance information from the target charging pile and the vehicle's driving speed;

[0022] searching, from the first mapping table, the target vehicle energy consumption and the target allowable heating power of the corresponding vehicle based on the current road condition information in the real-time driving parameters of the vehicle; wherein the first mapping table includes the corresponding relationship between the road condition information and the vehicle energy consumption and the allowable heating power;

[0023] According to the estimated driving time, the target vehicle energy consumption and the target allowable heating power, the target required time for heating to the target preheating temperature is searched from the first mapping table.

[0024] Optionally, determining the start time of battery preheating according to the target required time includes:

[0025] Determining a temperature rise path for battery preheating based on the target required time, wherein the temperature rise path is a curve generated by temperature rise rate and temperature rise time;

[0026] A start time for battery preheating is determined based on the temperature rise path, the current time, and the target required time.

[0027] Optionally, controlling the battery to be preheated to the target preheating temperature when the start-up time is reached includes:

[0028] When the start-up time is reached, triggering a battery heating instruction;

[0029] Based on the battery heating instruction, the battery is controlled to be preheated to the target preheating temperature.

[0030] According to a second aspect of the present disclosure, a battery charging and preheating device is provided, comprising:

[0031] a first input unit, configured to input current battery status information of the vehicle battery and current ambient temperature into the simulation model after determining charging intention information of the vehicle by responding to the charging instruction, to obtain a target preheating temperature of the battery;

[0032] a second input unit for obtaining a target required time for heating the vehicle to the target preheating temperature based on real-time vehicle driving parameters, historical driving information, and a first mapping table, wherein the first mapping table includes preset correspondences between the required time for heating the vehicle to the preheating temperature and the driving parameters and historical driving information;

[0033] a determination unit, configured to determine a start time for battery preheating according to the target required time;

[0034] A control unit is used to control the battery to be preheated to the target preheating temperature when the start-up time is reached.

[0035] Optionally, the battery charging and preheating device includes: the acquiring unit is further configured to:

[0036] Determining the charging intention information according to a search instruction for a charging pile in map navigation;

[0037] Alternatively, the charging intention information is determined according to a pre-configured timed charging instruction.

[0038] Optionally, the current battery status information includes: the current remaining battery power and the current battery temperature; the first input unit is further used to input the current remaining battery power, the current battery temperature and the current ambient temperature into the simulation model to obtain the target preheating temperature of the battery; wherein the simulation model determines the target preheating temperature through a second mapping table, and the second mapping table contains the corresponding relationships between the remaining battery power, the battery temperature and the ambient temperature and the preheating temperature respectively, and the corresponding relationships are obtained in advance by calculation.

[0039] Optionally, the second input unit includes:

[0040] a calculation module, configured to calculate the actual distance information from the target charging pile and the vehicle's driving speed to obtain an estimated driving time to the target charging pile, wherein the vehicle's real-time driving parameters include: the actual distance information from the target charging pile and the vehicle's driving speed;

[0041] a first search module configured to search the first mapping table for the target vehicle energy consumption and target allowable heating power of the corresponding vehicle based on the current road condition information in the real-time driving parameters of the vehicle; wherein the first mapping table includes a correspondence between the road condition information and the vehicle energy consumption and allowable heating power of the vehicle;

[0042] The second search module is configured to search the first mapping table for a target time required for heating to the target preheating temperature according to the estimated driving time, the target vehicle energy consumption, and the target allowable heating power.

[0043] Optionally, the determining unit includes:

[0044] A first determining module is configured to determine a temperature rise path for battery preheating based on the target required time, wherein the temperature rise path is a curve generated by temperature rise rate and temperature rise time;

[0045] The second determining module is configured to determine a start time for battery preheating based on a temperature rise path of the battery preheating, a current time, and the target required time.

[0046] Optionally, the control unit includes:

[0047] a trigger module, configured to trigger a battery heating instruction when the battery preheating start time is reached;

[0048] A control module is configured to control the battery to be preheated to the target preheating temperature based on the battery heating instruction.

[0049] According to a third aspect of the present disclosure, there is provided an electronic device, including:

[0050] at least one processor; and

[0051] a memory communicatively connected to the at least one processor; wherein,

[0052] The memory stores instructions that can be executed by the at least one processor. The instructions are executed by the at least one processor to enable the at least one processor to perform the method described in the first aspect.

[0053] According to a fourth aspect of the present disclosure, a non-transitory computer-readable storage medium storing computer instructions is provided, wherein the computer instructions are used to enable the computer to execute the method described in the first aspect.

[0054] According to a fifth aspect of the present disclosure, a computer program product is provided, comprising a computer program, wherein when the computer program is executed by a processor, the computer program implements the method as described in the first aspect above.

[0055] The battery charging preheating method and device, vehicle, electronic device and storage medium provided by the present disclosure, after determining the charging intention information of the vehicle by responding to the charging instruction,

[0056] Get the current battery status information and current ambient temperature of the vehicle battery;

[0057] Inputting the current battery state information and the current ambient temperature into a simulation model of a target preheating temperature to obtain a target preheating temperature of the battery;

[0058] Inputting the vehicle's real-time driving parameters and historical driving information into the simulation model of the target preheating temperature to obtain a target time required to heat the vehicle to the target preheating temperature;

[0059] The simulation model of the target preheating temperature determines a target time required to heat the vehicle to the target preheating temperature through a first mapping table, wherein the first mapping table includes a correspondence between preset times required to heat the vehicle to the preheating temperature and driving parameters and historical driving information;

[0060] determining a start time for battery preheating based on the time required for heating to the target preheating temperature;

[0061] When the battery preheating start time is reached, the battery is controlled to be preheated to the target preheating temperature.

[0062] Compared with related technologies, after obtaining charging intention information, the present invention combines battery status information, ambient temperature, real-time vehicle driving parameters and historical driving information to look up the corresponding target preheating temperature and the time required to heat to the target preheating temperature through a mapping table pre-stored in a simulation model, thereby obtaining the optimal start time of the preheating strategy, dynamically adjusting the battery preheating, minimizing energy consumption while ensuring that the battery temperature is in the optimal charging range when the tram arrives at the charging station, reducing energy consumption losses, thereby ensuring that the vehicle does not lose too much cruising range, and improving the battery charging performance.

[0063] It should be understood that the content described in this section is not intended to identify the key or important features of the embodiments of the present application, nor is it intended to limit the scope of the present application. Other features of the present application will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0064] The accompanying drawings are provided to facilitate a better understanding of the present invention and do not constitute a limitation of the present disclosure.

[0065] FIG1 is a schematic flow chart of a battery charging and preheating method provided by an embodiment of the present disclosure;

[0066] FIG2 is a flow chart of a method for determining the time required for heating to the target preheating temperature provided in an embodiment of the present application;

[0067] FIG3 is a schematic structural diagram of a battery charging and preheating device provided by an embodiment of the present disclosure;

[0068] FIG4 is a schematic structural diagram of another battery charging and preheating device provided by an embodiment of the present disclosure;

[0069] FIG5 is a schematic block diagram of an example electronic device 400 provided in accordance with an embodiment of the present disclosure. Specific embodiments

[0070] The following description of exemplary embodiments of the present disclosure is made in conjunction with the accompanying drawings, including various details of the embodiments of the present disclosure to facilitate understanding. These details should be considered as merely exemplary. Therefore, those skilled in the art will recognize that various changes and modifications may be made to the embodiments described herein without departing from the scope and spirit of the present disclosure. Similarly, for the sake of clarity and conciseness, descriptions of well-known functions and structures are omitted in the following description.

[0071] The following describes a battery charging and preheating method and apparatus, a vehicle, an electronic device, and a storage medium according to embodiments of the present disclosure with reference to the accompanying drawings.

[0072] FIG1 is a schematic flow chart of a battery charging and preheating method provided in an embodiment of the present disclosure.

[0073] As shown in Figure 1, the method includes the following steps:

[0074] Step 101 , after determining the charging intention information of the vehicle by responding to the charging instruction, obtain the current battery status information and the current ambient temperature of the vehicle battery.

[0075] In some embodiments, to further illustrate the determination of a vehicle's charging intention information by responding to charging instructions, when a user searches for charging pile-related information on a map, the charging intention information is determined based on the charging pile search instruction in the map navigation, or based on a pre-configured scheduled charging instruction, based on the interaction mode established between the map navigation and the power battery. However, it should be understood that this description is not intended to limit the method for obtaining the charging intention information, and other methods may also be used to obtain the charging intention information, and the specific method is not limited in this embodiment of the application.

[0076] In some embodiments, after determining the charging intention information, the current battery status information may be obtained by, but is not limited to, obtaining the current battery status information through the battery management system (BMS) of the battery. A battery pack is generally composed of a battery module, a thermal management system, a battery management system (BMS), an electrical system, and structural parts. The battery management system (BMS) monitors the voltage, current, load, temperature, and other states of the vehicle battery, and can provide safety, communication, cell balancing and management control, and provides a communication interface with the application device. Therefore, the current battery status information can be obtained through the BMS. The current battery status information includes the current remaining battery power and the current battery temperature. The battery remaining power (State Of Charge, SOC) is a parameter that reflects the percentage of the current power in the battery pack to the total available capacity. It is an important monitoring data of the battery management system. The battery management system controls the working state of the battery according to the SOC value. The remaining power of the battery also reflects the state of charge of the battery.

[0077] Step 102 : Input the current battery status information and the current ambient temperature into a simulation model of a target preheating temperature to obtain a target preheating temperature of the battery.

[0078] After obtaining the current battery status information and the current ambient temperature, the current battery status information and the current ambient temperature are input into a simulation model of a target preheating temperature. The simulation model of the target preheating temperature is used to store and use a first mapping table and a second mapping table. To obtain the target preheating temperature, the simulation model of the target preheating temperature determines the target preheating temperature of the battery through the second mapping table. The second mapping table includes correspondences between the remaining battery power, the battery temperature, the ambient temperature, and the preheating temperature, respectively.

[0079] However, it should be clear that this description method is not intended to limit the method for calculating the time required for heating the battery to the target preheating temperature, and the specific embodiments of the present application do not limit this.

[0080] Step 103: Input the vehicle's real-time driving parameters and historical driving information into the simulation model of the target preheating temperature to obtain a target time required for heating to the target preheating temperature; wherein the simulation model of the target preheating temperature determines the target time required for heating to the target preheating temperature through a first mapping table, wherein the first mapping table includes a correspondence between preset required times for heating to the preheating temperature and driving parameters and historical driving information.

[0081] After obtaining the target preheating temperature, in order to obtain the target time required to heat to the target preheating temperature, it is also necessary to obtain the vehicle's real-time driving parameters and historical driving information. The vehicle's real-time driving parameters include the actual distance information from the target charging pile and the vehicle's driving speed. Based on the actual distance information from the target charging pile and the vehicle's driving speed, the estimated driving time to the target charging pile is calculated according to the speed calculation formula. For example, the actual distance between the current vehicle and the target charging pile displayed on the navigation map is divided by the current vehicle's driving speed to obtain the estimated driving time to the target charging pile calculated based on the current vehicle's driving speed. However, the vehicle's driving speed is not fixed. If the vehicle's driving speed changes during driving, the estimated driving time to the target charging pile will also change with the change in the vehicle's driving speed. In addition, the real-time driving parameters also include current road condition information. The current road condition information is matched with the road condition information recorded in the historical driving information in the first mapping table to obtain the target vehicle energy consumption and target allowable heating power corresponding to the current road condition information. Different road conditions correspond to different vehicle energy consumption and different allowable heating powers. Various road conditions, such as highways, rainy and snowy road conditions, mountainous road conditions, high-temperature road conditions, etc., have different impacts on the vehicle due to external environmental factors such as ambient temperature and driving speed. Therefore, different road conditions have different vehicle energy consumption and different allowable heating powers.

[0082] The real-time driving parameters and the historical driving information of the vehicle are input into a simulation model of the target preheating temperature. The simulation model of the target preheating temperature determines the target time required for heating to the target preheating temperature through a first mapping table. The first mapping table contains a correspondence between preset required times for heating to the preheating temperature and driving parameters and historical driving information. After obtaining an estimated driving time to a target charging pile calculated based on the real-time driving parameters, the current road condition is matched with the road condition information in the historical driving information in the first mapping table according to the current road condition information in the real-time driving parameters, and the target vehicle energy consumption and target allowable heating power of the corresponding vehicle are searched. Then, based on the obtained estimated driving time, the target vehicle energy consumption and the target allowable heating power, the required time for heating to the target preheating temperature is searched from the first mapping table.

[0083] Step 104 : determining a start time for battery preheating based on the time required for heating to the target preheating temperature.

[0084] Based on the current time and the time required to heat the battery to the target preheating temperature, the optimal time to initiate battery preheating can be calculated by adding the current time and the time required to heat the battery to the target preheating temperature to determine the time to initiate battery preheating. However, it should be noted that the estimated driving time is required in determining the time required to heat the battery to the target preheating temperature. This estimated driving time varies with vehicle speed, and information such as ambient temperature is not static. Therefore, the time required to heat the battery to the target preheating temperature will also vary in real time due to changes in information such as vehicle speed, ambient temperature, and road conditions, and will not remain constant.

[0085] In order to facilitate a better understanding of determining the start time of battery preheating based on the time required for heating to the target preheating temperature, the following method can be used but should not be limited to: for example, based on the time required for heating to the target preheating temperature, determining the temperature rise path of battery preheating; based on the temperature rise path of battery preheating, determining the start time of battery preheating, wherein the temperature rise path is a curve generated by the temperature rise rate and the temperature rise time.

[0086] Step 105 : When the battery preheating start time is reached, control the battery to be preheated to the target preheating temperature.

[0087] In some embodiments, after determining the start time of battery preheating based on the time required for heating to the target preheating temperature, when the start time of battery preheating is reached, the battery preheating is started through the battery management system (BMS), and the battery heating rate is dynamically adjusted based on information such as the energy consumption of the entire vehicle, the allowable heating power, and the estimated driving time. While controlling the battery to be preheated to the target preheating temperature, the energy consumption of the preheated battery is minimized.

[0088] The battery charging preheating method provided by the present disclosure obtains current battery status information and current ambient temperature of the vehicle battery after determining charging intention information of the vehicle by responding to a charging instruction; inputs the current battery status information and the current ambient temperature into a simulation model of a target preheating temperature to obtain a target preheating temperature of the battery; inputs real-time driving parameters and historical driving information of the vehicle into the simulation model of the target preheating temperature to obtain a target required time for heating to the target preheating temperature; wherein the simulation model of the target preheating temperature determines the target required time for heating to the target preheating temperature through a first mapping table, wherein the first mapping table contains a correspondence between preset required time for heating to the preheating temperature and driving parameters and historical driving information; determines a start time for battery preheating according to the required time for heating to the target preheating temperature; and when the start time for battery preheating is reached, controls the battery to be preheated to the target preheating temperature. Compared with related technologies, after obtaining charging intention information, the present invention combines battery status information, ambient temperature, real-time vehicle driving parameters and historical driving information to look up the corresponding target preheating temperature and the time required to heat to the target preheating temperature through a mapping table pre-stored in a simulation model, thereby obtaining the optimal start time of the preheating strategy, dynamically adjusting the battery preheating, minimizing energy consumption while ensuring that the battery temperature is in the optimal charging range when the tram arrives at the charging station, reducing energy consumption losses, thereby ensuring that the vehicle does not lose too much cruising range, and improving the battery charging performance.

[0089] In some embodiments, the charging intention information refers to a prediction of the vehicle's charging intention during driving based on information such as the vehicle's surrounding environment, the driver's habits, and vehicle navigation information, in order to assist the vehicle in preparing for charging and achieve better charging results. The determination of the vehicle's charging intention information may be based on, but is not limited to, the following methods: determining the charging intention information based on a user's search instructions for charging stations in map navigation, the vehicle's remaining battery level, and information about the vehicle's surrounding environment, or determining the charging intention information based on pre-configured scheduled charging instructions.

[0090] In some embodiments, in order to obtain the current battery status information and the current ambient temperature to determine the target preheating temperature of the battery, the following method may be used but is not limited to, for example, the battery status information includes the current battery remaining capacity (SOC) and the current battery temperature. For the current battery remaining capacity (SOC), it can be obtained by estimating the current battery remaining capacity (SOC) by the battery management system (BMS); for the current battery temperature, it can also be obtained by collecting the current battery temperature by the battery management system (BMS). The current ambient temperature can be obtained through a temperature sensor or other means. However, it should be clear that the above method is not a limitation on obtaining the current battery status information and the current ambient temperature, and is not specifically limited in the embodiments of the present application.

[0091] In order to facilitate a better understanding of the determination of the target preheating temperature of the battery based on the current battery status information and the current ambient temperature, the following method can be used but should not be limited to. For example, based on the correspondence between the remaining battery capacity, the battery temperature and the ambient temperature and the preheating temperature, the target preheating temperature corresponding to the current remaining battery capacity, the current battery temperature and the current ambient temperature is searched, thereby determining the target preheating temperature of the battery, wherein the correspondence between the remaining battery capacity, the battery temperature and the ambient temperature and the preheating temperature can be obtained in advance by calculation.

[0092] In some embodiments, to facilitate a better understanding of searching a preset mapping table for the target time required to heat the vehicle to the target preheating temperature based on the vehicle's real-time driving parameters and historical driving information, the following methods may be used, but are not limited to:

[0093] FIG2 is a flow chart of a method for illustrating the time required for heating to the target preheating temperature provided in an embodiment of the present application.

[0094] As shown in FIG2 , the method includes the following steps:

[0095] In step 201 , the actual distance information from the target charging pile and the vehicle driving speed are calculated to obtain an estimated driving time to the target charging pile, wherein the real-time driving parameters of the vehicle include: the actual distance information from the target charging pile and the vehicle driving speed.

[0096] In some embodiments, the vehicle's real-time speed can be obtained through the vehicle's head-up display (HUD) system, and the actual distance between the vehicle and the target charging station can be obtained through the vehicle's navigation system. Based on the information obtained, the estimated travel time can be calculated using a preset algorithm. However, it should be made clear that this description method is not intended to limit the method for obtaining the vehicle's real-time driving parameters, nor is it intended to limit the method for calculating the estimated travel time.

[0097] Step 202: Based on the current road condition information in the real-time driving parameters, the target vehicle energy consumption and target allowable heating power of the corresponding vehicle are searched from the first mapping table; wherein, the first mapping table includes the correspondence between the road condition information and the vehicle energy consumption and allowable heating power of the vehicle.

[0098] In one embodiment of the present invention, to determine the time required to heat the vehicle to the target preheating temperature, the target vehicle energy consumption and target allowable heating power corresponding to the current road conditions are required to estimate the preheating start time. The first mapping table includes the corresponding relationship between the road condition information and the vehicle energy consumption and allowable heating power. Based on the current road condition information obtained from the real-time driving parameters, the corresponding target vehicle energy consumption and target allowable heating power are searched in the first mapping table.

[0099] Step 203 : searching the first mapping table for a time required to heat the vehicle to the target preheating temperature based on the estimated driving time, the target vehicle energy consumption, and the target allowable heating power.

[0100] In some embodiments, the first mapping table is a mapping relationship table of the estimated driving time, the vehicle energy consumption, the allowable heating power, and the time required to heat to the target preheating temperature. The mapping relationship is calculated in advance by the simulation model, and the first mapping table and the second mapping table are both stored in the simulation model.

[0101] To estimate the time required to reach the target preheating temperature, it is necessary to determine the target allowable battery heating power. This can be achieved by, but is not limited to, searching the user's historical habits database for the corresponding target allowable battery heating power based on historical driving information and the current ambient temperature. This heating power takes into account heat generated during battery discharge, including both reversible and irreversible heat, and also considers heat sources provided to the battery by vehicle thermal management, including but not limited to waste heat recovery, motor stalling, and positive temperature coefficient thermistor (PTC) heating.

[0102] In some embodiments, based on different preheating start times, the time taken for the battery to charge to reach the target remaining capacity (SOC) is different, as shown in Table 1. Table 1 shows a charging time for charging the remaining capacity from 10% to 70% under different vehicle operating conditions, in minutes.

[0103] Table 1

[0104] As shown in Table 1, when the battery is not preheated, the lower the current battery temperature, the longer the charging time and the worse the battery's charging performance. Compared to the case without preheating, the battery's charging time and charging performance are related to the preheating time and distance from the charging station. Different temperatures, preheating times, and distances from the charging station correspond to different charging times. Table 1 shows that preheating the battery can improve its charging performance at low temperatures.

[0105] To facilitate a better understanding of determining the start time of battery preheating based on the time required for heating to the target preheating temperature, the following method can be used but should not be limited to: determining the temperature rise path of battery preheating based on the time required for heating to the target preheating temperature, wherein the temperature rise path is a curve generated by the temperature rise rate and the temperature rise time, and determining the start time of battery preheating based on the temperature rise path of battery preheating.

[0106] When the battery preheating start time is reached, controlling the battery to be preheated to the target preheating temperature may adopt, but should not be limited to, the following methods. For example, when the battery preheating start time is reached, triggering a battery heating instruction, and controlling the battery to be preheated to the target preheating temperature based on the battery heating instruction.

[0107] The above formula is not intended to limit the updating of the target calibration parameters to only the above formula, and other methods are not limited in the embodiments of this application.

[0108] In summary, the embodiments of the present disclosure can achieve the following effects:

[0109] 1. Determine the vehicle's charging intention information and determine the target battery preheating temperature based on the current battery status information and the current ambient temperature; determine the time required to heat the battery to the target preheating temperature based on the vehicle's real-time driving parameters and historical driving information; determine the start time of battery preheating based on the time required to heat the battery to the target preheating temperature; and control the battery to preheat to the target preheating temperature when the battery preheating start time is reached.

[0110] 2. Calculates the optimal start time for the preheating strategy based on road conditions and historical driving data, dynamically adjusting and controlling battery preheating to the target preheating temperature. This ensures that the battery is at the optimal charging temperature when it arrives at the charging station. This significantly reduces charging capacity while also reducing vehicle energy consumption and preventing excessive range loss.

[0111] Corresponding to the above-mentioned battery charging and preheating method, the present invention also provides a battery charging and preheating device. Since the device embodiment of the present invention corresponds to the above-mentioned method embodiment, any details not disclosed in the device embodiment can be referred to the above-mentioned method embodiment and will not be further described in this invention.

[0112] FIG3 is a schematic structural diagram of a battery charging and preheating device provided by an embodiment of the present disclosure, as shown in FIG3 , comprising:

[0113] an acquiring unit 31 for acquiring current battery status information of the vehicle battery and current ambient temperature after determining the charging intention information of the vehicle by responding to the charging instruction;

[0114] A first input unit 32 is configured to input the current battery status information and the current ambient temperature into a simulation model of a target preheating temperature to obtain a target preheating temperature of the battery;

[0115] a second input unit 33 for inputting real-time vehicle driving parameters and historical driving information into the simulation model of the target preheating temperature to obtain a target required time for heating the vehicle to the target preheating temperature; wherein the simulation model of the target preheating temperature determines the target required time for heating the vehicle to the target preheating temperature using a first mapping table, wherein the first mapping table includes preset correspondences between the required time for heating the vehicle to the target preheating temperature and driving parameters and historical driving information;

[0116] a determining unit 34, configured to determine a start time for battery preheating based on a time required for heating to the target preheating temperature;

[0117] The control unit 35 is configured to control the battery to be preheated to the target preheating temperature when the battery preheating start time is reached.

[0118] The battery charging and preheating device provided by the present disclosure obtains current battery status information and current ambient temperature of the vehicle battery after determining charging intention information of the vehicle by responding to a charging instruction; inputs the current battery status information and the current ambient temperature into a simulation model of a target preheating temperature to obtain a target preheating temperature of the battery; inputs real-time driving parameters and historical driving information of the vehicle into the simulation model of the target preheating temperature to obtain a target required time for heating to the target preheating temperature; wherein the simulation model of the target preheating temperature determines the target required time for heating to the target preheating temperature through a first mapping table, wherein the first mapping table contains a correspondence between preset required time for heating to the preheating temperature and driving parameters and historical driving information; determines a start time for battery preheating based on the required time for heating to the target preheating temperature; and controls the battery to be preheated to the target preheating temperature when the start time for battery preheating is reached. Compared with related technologies, after obtaining charging intention information, the present invention combines battery status information, ambient temperature, real-time vehicle driving parameters and historical driving information to look up the corresponding target preheating temperature and the time required to heat to the target preheating temperature through a mapping table pre-stored in a simulation model, thereby obtaining the optimal start time of the preheating strategy, dynamically adjusting the battery preheating, minimizing energy consumption while ensuring that the battery temperature is in the optimal charging range when the tram arrives at the charging station, reducing energy consumption losses, thereby ensuring that the vehicle does not lose too much cruising range, and improving the battery charging performance.

[0119] FIG4 is a schematic structural diagram of another battery charging and preheating device provided by an embodiment of the present disclosure, as shown in FIG4 , comprising:

[0120] Furthermore, the acquisition unit is further configured to:

[0121] Determining the charging intention information according to a search instruction for a charging pile in map navigation;

[0122] Alternatively, the charging intention information is determined according to a pre-configured timed charging instruction.

[0123] Furthermore, the current battery status information includes: the current remaining battery power and the current battery temperature;

[0124] Furthermore, the first input unit 32 includes:

[0125] The determination module 321 determines the current remaining battery power and the current battery temperature;

[0126] The input module 322 is used to input the current battery remaining power, the current battery temperature and the current ambient temperature into the simulation model of the target preheating temperature to obtain the target preheating temperature of the battery; wherein the simulation model of the target preheating temperature determines the target preheating temperature of the battery through a second mapping table, wherein the second mapping table contains the correspondence between the battery remaining power, the battery temperature and the ambient temperature and the preheating temperature, respectively, and the correspondence is obtained in advance by calculation.

[0127] Furthermore, the second input unit 33 includes:

[0128] The calculation module 331 is configured to calculate the actual distance information from the target charging pile and the vehicle's driving speed to obtain an estimated driving time to the target charging pile, wherein the vehicle's real-time driving parameters include: the actual distance information from the target charging pile and the vehicle's driving speed;

[0129] A first search module 332 is configured to search the first mapping table for the target vehicle energy consumption and target allowable heating power of the corresponding vehicle based on the current road condition information in the real-time driving parameters; wherein the first mapping table includes a correspondence between the road condition information and the vehicle energy consumption and allowable heating power of the vehicle;

[0130] The second search module 333 is configured to search the first mapping table for a time required for heating to the target preheating temperature according to the estimated driving time, the target vehicle energy consumption, and the target allowable heating power.

[0131] Furthermore, the determining unit 34 includes:

[0132] A first determining module 341 is configured to determine a temperature rise path for battery preheating based on the time required for heating to the target preheating temperature, wherein the temperature rise path is a curve generated by a temperature rise rate and a temperature rise time;

[0133] The second determining module 342 is configured to determine a start time for battery preheating based on a temperature rise path of the battery preheating and a current time and a time required for heating to the target preheating temperature.

[0134] Furthermore, the control unit 35 includes:

[0135] A trigger module 351 is configured to trigger a battery heating instruction when the battery preheating start time is reached;

[0136] The control module 352 is configured to control the battery to be preheated to the target preheating temperature based on the battery heating instruction.

[0137] It should be noted that the above explanation of the method embodiment is also applicable to the device of this embodiment, and the principles are the same, which is not limited in this embodiment.

[0138] According to an embodiment of the present disclosure, the present disclosure also provides a vehicle, an electronic device, a readable storage medium, and a computer program product.

[0139] FIG5 shows a schematic block diagram of an example electronic device 400 that can be used to implement an embodiment of the present disclosure. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital assistants, cellular phones, smart phones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present disclosure described and / or required herein.

[0140] As shown in Figure 5, device 400 includes a computing unit 401, which can perform various appropriate actions and processes according to a computer program stored in ROM (Read-Only Memory) 402 or a computer program loaded from storage unit 408 into RAM (Random Access Memory) 403. Various programs and data required for the operation of device 400 can also be stored in RAM 403. Computing unit 401, ROM 402, and RAM 403 are connected to each other via bus 404. I / O (Input / Output) interface 405 is also connected to bus 404.

[0141] Various components in device 400 are connected to I / O interface 405, including an input unit 406, such as a keyboard, mouse, etc.; an output unit 407, such as various types of displays, speakers, etc.; a storage unit 408, such as a magnetic disk, optical disk, etc.; and a communication unit 409, such as a network card, modem, wireless communication transceiver, etc. Communication unit 409 allows device 400 to exchange information / data with other devices via a computer network such as the Internet and / or various telecommunication networks.

[0142] Computing unit 401 can be any general-purpose and / or specialized processing component with processing and computing capabilities. Some examples of computing unit 401 include, but are not limited to, a CPU (Central Processing Unit), a GPU (Graphic Processing Unit), various specialized AI (Artificial Intelligence) computing chips, various computing units that run machine learning model algorithms, a DSP (Digital Signal Processor), and any suitable processor, controller, microcontroller, etc. Computing unit 401 performs the various methods and processes described above, such as the battery charging and preheating method. For example, in some embodiments, the battery charging and preheating method can be implemented as a computer software program tangibly embodied in a machine-readable medium, such as storage unit 408. In some embodiments, part or all of the computer program can be loaded and / or installed onto device 400 via ROM 402 and / or communication unit 409. When the computer program is loaded into RAM 403 and executed by computing unit 401, one or more steps of the method described above can be performed. Alternatively, in other embodiments, the computing unit 401 may be configured to execute the aforementioned battery charging preheating method in any other appropriate manner (for example, by means of firmware).

[0143] Various embodiments of the systems and techniques described herein can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application-specific integrated circuits (ASICs), application-specific standard products (ASSPs), system-on-chip systems (SOCs), complex programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments can include being implemented in one or more computer programs that are executable and / or interpreted on a programmable system that includes at least one programmable processor, which can be a special-purpose or general-purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0144] The program code for implementing the method of the present disclosure can be written in any combination of one or more programming languages. These program codes can be provided to a processor or controller of a general-purpose computer, a special-purpose computer, or other programmable data processing device so that when the program code is executed by the processor or controller, the functions / operations specified in the flow chart and / or block diagram are implemented. The program code can be executed entirely on the machine, partially on the machine, as a stand-alone software package, partially on the machine and partially on a remote machine, or entirely on a remote machine or server.

[0145] In the context of the present disclosure, a machine-readable medium can be a tangible medium that can contain or store a program for use by or in conjunction with an instruction execution system, device or equipment. A machine-readable medium can be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium can include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or equipment, or any suitable combination of the foregoing. More specific examples of machine-readable storage media can include an electrical connection based on one or more lines, a portable computer disk, a hard disk, RAM, ROM, an erasable programmable read-only memory (EPROM) or flash memory, an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0146] To provide interaction with a user, the systems and techniques described herein can be implemented on a computer having: a display device (e.g., a CRT (Cathode-Ray Tube) or LCD (Liquid Crystal Display) monitor) for displaying information to the user; and a keyboard and pointing device (e.g., a mouse or trackball) through which the user can provide input to the computer. Other types of devices can also be used to provide interaction with the user; for example, the feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including acoustic input, voice input, or tactile input).

[0147] The systems and techniques described herein can be implemented in a computing system that includes back-end components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes front-end components (e.g., a user computer with a graphical user interface or web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such back-end components, middleware components, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: LAN (Local Area Network), WAN (Wide Area Network), the Internet, and blockchain networks.

[0148] A computer system may include a client and a server. The client and server are generally remote from each other and typically interact via a communication network. This client-server relationship is established by computer programs running on the respective computers, establishing a client-server relationship. The server may be a cloud server, also known as a cloud computing server or cloud host, a host product within the cloud computing service ecosystem that addresses the management difficulties and limited scalability of traditional physical hosts and VPS services ("Virtual Private Servers" or simply "VPS"). The server may also be a server in a distributed system or a server integrated with blockchain.

[0149] It's important to note that artificial intelligence (AI) is the study of how computers can simulate certain human thought processes and intelligent behaviors (such as learning, reasoning, thinking, and planning). This encompasses both hardware and software technologies. AI hardware technologies generally include sensors, specialized AI chips, cloud computing, distributed storage, and big data processing. AI software technologies primarily encompass computer vision, speech recognition, natural language processing, machine learning / deep learning, big data processing, and knowledge graphs.

[0150] It should be understood that the various forms of the processes shown above can be used to reorder, add, or delete steps. For example, the steps described in this disclosure can be performed in parallel, sequentially, or in a different order, as long as the desired results of the technical solutions disclosed in this disclosure can be achieved. This is not limited herein.

[0151] The above specific embodiments do not constitute a limitation on the scope of protection of this disclosure. Those skilled in the art will appreciate that various modifications, combinations, sub-combinations, and substitutions may be made based on design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this disclosure shall be included within the scope of protection of this disclosure.

Claims

1. A battery charging preheating method, comprising: After determining the charging intention information of the vehicle by responding to the charging instruction, the current battery status information of the vehicle battery and the current ambient temperature are input into the simulation model to obtain the target preheating temperature of the battery; Obtaining a target time required for heating to the target preheating temperature according to the real-time driving parameters of the vehicle, the historical driving information and a first mapping table, wherein the first mapping table includes a correspondence between a preset time required for heating to the preheating temperature and the driving parameters and the historical driving information; Determine the start time of battery preheating according to the target required time; When the start-up time is reached, the battery is controlled to be preheated to the target preheating temperature.

2. The battery charging preheating method according to claim 1, wherein: The charging instructions include: a search instruction for charging piles in map navigation and a pre-configured timed charging instruction; The determining the charging intention information of the vehicle by responding to the charging instruction includes: Determining the charging intention information according to a search instruction for a charging pile in map navigation; Or, the charging intention information is determined according to a pre-configured timed charging instruction.

3. The method according to claim 1, wherein: The current battery status information includes: the current remaining battery power and the current battery temperature; The step of inputting the current battery status information and the current ambient temperature of the vehicle battery into the simulation model to obtain the target preheating temperature of the battery includes: The current battery remaining power, the current battery temperature and the current ambient temperature are input into the simulation model to obtain the target preheating temperature of the battery; wherein the simulation model determines the target preheating temperature through a second mapping table, and the second mapping table contains the correspondence between the battery remaining power, the battery temperature and the ambient temperature and the preheating temperature, respectively, and the correspondence is obtained in advance by calculation.

4. The method according to claim 1, wherein: The step of obtaining the target time required for heating to the target preheating temperature according to the real-time driving parameters of the vehicle, the historical driving information and the first mapping table includes: The actual distance information from the target charging pile and the vehicle driving speed are calculated to obtain an estimated driving time to reach the target charging pile, wherein the real-time driving parameters of the vehicle include: the actual distance information from the target charging pile and the vehicle driving speed; According to the current road condition information in the real-time driving parameters of the vehicle, searching the first mapping table for the target vehicle energy consumption and the target allowable heating power of the corresponding vehicle; wherein the first mapping table includes the corresponding relationship between the road condition information and the vehicle energy consumption and the allowable heating power of the vehicle; The target time required for heating to the target preheating temperature is searched from the first mapping table according to the estimated driving time, the target vehicle energy consumption and the target allowable heating power.

5. The battery charging preheating method according to claim 1, wherein: The step of determining the start time of battery preheating according to the target required time includes: Based on the target required time, determine a temperature rise path for battery preheating, wherein the temperature rise path is a curve generated by the temperature rise rate and the temperature rise time; Based on the temperature rise path, the current time and the target required time, the start time of battery preheating is determined.

6. The battery charging preheating method according to claim 1, wherein: When the start-up time is reached, controlling the battery to be preheated to the target preheating temperature includes: When the start-up time is reached, triggering a battery heating instruction; Based on the battery heating instruction, the battery is controlled to be preheated to the target preheating temperature.

7. A battery charging preheating device, comprising: A first input unit is used to input the current battery status information and the current ambient temperature of the vehicle battery into the simulation model after determining the charging intention information of the vehicle by responding to the charging instruction, so as to obtain the target preheating temperature of the battery; a second input unit, for acquiring a target time required for heating to the target preheating temperature according to the real-time driving parameters of the vehicle, historical driving information and a first mapping table, wherein the first mapping table contains a correspondence between a preset time required for heating to the preheating temperature and the driving parameters and the historical driving information; A determination unit, used to determine a start time of battery preheating according to the target required time; A control unit is used to control the battery to be preheated to the target preheating temperature when the start-up time is reached.

8. An electronic device comprising: at least one processor; as well as a memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the method according to any one of claims 1 to 6.

9. A non-transitory computer-readable storage medium storing computer instructions, wherein the computer instructions are used to cause the computer to execute the method according to any one of claims 1 to 6.

10. A computer program product, comprising a computer program, which, when executed by a processor, implements the method according to any one of claims 1 to 6.

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