Electric vehicle charging reminder method, device, electric vehicle and storage medium

Abstract

The present application relates to a method, system, electric vehicle, and storage medium for reminding an electric vehicle to charge. The method includes: upon detecting that the electric vehicle is in a parked state, determining a predicted battery temperature of the electric vehicle when it is next started after parking based on the electric vehicle's current positioning data, historical driving data, and temperature information within a preset time period, wherein the predicted battery temperature refers to the battery temperature of the electric vehicle after the battery cools down after being parked for a period of time; determining a corresponding target battery available capacity based on the predicted battery temperature, that is, combining the effect of temperature changes on the battery capacity of the electric vehicle; if the target battery available capacity corresponds to a range less than the target range, indicating that the target battery available capacity is insufficient to support the electric vehicle to drive to a target charging station when the electric vehicle is next started, the user is reminded to charge the vehicle before parking to avoid being unable to use the vehicle due to power shortage the next time the user uses the vehicle.

Description

Technical Field

[0001] The present application relates to the technical field of electric vehicles, and in particular to a method and device for reminding an electric vehicle to charge, an electric vehicle, and a storage medium. Background Art

[0002] With the development of electric vehicle technology, more and more consumers have accepted the driving experience of electric vehicles. However, since electric vehicles are powered by charging stations or charging piles, which are usually located in designated locations and are not available everywhere, users have range anxiety about driving electric vehicles. Users need to pay close attention to the battery life of electric vehicles and charge them in time to alleviate their range anxiety.

[0003] However, the current method of calculating battery life is based on the evaluation of the power battery status, which poses a risk: when the driver finishes using the vehicle with a full charge, the current battery status will be kept in the most active state due to continuous use, the heat released by its own chemical reaction, and the maintenance of the battery system's thermal management system, which will keep the battery cell temperature in the most active state to maintain the maximum available capacity to increase battery life. This is usually a relatively high temperature state, approximately in the range of 25℃ to 40℃. Assuming that the actual capacity of the current corresponding battery is sufficient for the driver to go to the nearest charging station, the warning may not be triggered at this time. Because the warning is not triggered, the driver may think that he can charge the car next time even if the current vehicle power is not full, and he may park the car and turn off the engine to leave. In low ambient temperature, after an electric car is parked overnight, the battery temperature drops a lot compared to before it was turned off, resulting in a reduction in the actual available capacity of the battery. At this time, a charging warning may be triggered, and even the actual available capacity of the battery may not be enough for the electric car to travel to the nearest charging station, resulting in the vehicle being out of power and unable to drive, thus affecting the user's driving experience. Summary of the Invention

[0004] Based on this, it is necessary to provide an electric vehicle charging reminder method, device, electric vehicle and storage medium that can accurately determine the actual battery available capacity of the electric vehicle in response to the above technical problems.

[0005] A method for reminding an electric vehicle to charge, the method comprising:

[0006] When the electric vehicle is detected to be in a parked state, current positioning data, historical driving data, and temperature information within a preset time period of the electric vehicle are obtained;

[0007] Calculating a predicted battery temperature of the electric vehicle after the stop based on the current positioning data, historical driving data, and temperature information within a preset time period;

[0008] determining a corresponding target battery available capacity according to the predicted battery temperature;

[0009] When the cruising range corresponding to the target battery available capacity is less than the target range, a charging 5 reminder message is output, wherein the target range is used to indicate the distance between the current position of the electric vehicle and the target charging station.

[0010] Optionally, the calculating the predicted battery temperature of the electric vehicle after the stop based on the current positioning data, historical driving data, and temperature information within a preset time period includes:

[0011] Determining a predicted parking time of the electric vehicle at the current location based on the current positioning data and the historical driving data;

[0012] The predicted battery temperature of the electric vehicle after the parking is completed is determined based on the temperature information within the preset time period and the predicted parking time period.

[0013] Optionally, the temperature information within the preset time period includes the current battery temperature and the predicted docking

[0014] The predicted ambient temperature at the end of the parking time, wherein the predicted battery temperature of the electric vehicle after the parking time is determined based on the temperature information within the preset time and the predicted parking time, includes:

[0015] A predicted battery temperature of the electric vehicle at the end of the predicted parking time is determined according to a temperature difference between the current battery temperature and the predicted ambient temperature.

[0016] Optionally, determining the predicted battery temperature of the electric vehicle at the end of the predicted parking time based on the temperature difference between the current battery temperature and the predicted ambient temperature includes: determining the predicted battery temperature of the electric vehicle at the end of the predicted parking time based on the temperature difference between the current battery temperature and the predicted ambient temperature;

[0017] a target temperature reduction strategy for the vehicle within the predicted parking duration, wherein the target temperature reduction strategy is used to indicate battery temperature changes of the electric vehicle at different times;

[0018] Determine the change of the current battery temperature to the predicted ambient temperature according to the target temperature drop strategy

[0019] Duration of temperature drop;

[0020] 5. Determine the temperature drop time of the electric vehicle according to the comparison result between the temperature drop time and the predicted parking time.

[0021] The predicted battery temperature of the vehicle at the end of the predicted stop duration.

[0022] Optionally, determining the predicted battery temperature of the electric vehicle at the end of the predicted parking time according to a comparison result between the temperature drop time and the predicted parking time includes:

[0023] When the temperature drop time is less than or equal to the predicted parking time, the predicted environment 0 is used as the predicted battery temperature of the electric vehicle at the end of the predicted parking time.

[0024] Optionally, determining the predicted battery temperature of the electric vehicle at the end of the predicted parking time according to a comparison result between the temperature drop time and the predicted parking time includes:

[0025] When the temperature drop duration is greater than the predicted stop duration, the battery temperature when the battery temperature change duration reaches the predicted stop duration will be determined according to the target temperature drop strategy as the predicted battery temperature of the electric vehicle at the end of the predicted stop duration.

[0026] Optionally, determining a corresponding target battery available capacity according to the predicted battery temperature includes:

[0027] The target battery available capacity of the electric vehicle after parking is completed is determined based on the difference between the battery capacity retention rate corresponding to the predicted battery temperature multiplied by the preset rated capacity and the current battery used capacity of the electric vehicle.

[0028] An electric vehicle charging reminder device, comprising:

[0029] An acquisition module is used to acquire the current positioning data, historical driving data and temperature information of the electric vehicle within a preset time period when it is detected that the electric vehicle is in a parked state;

[0030] A prediction module, configured to calculate a predicted battery temperature of the electric vehicle after the electric vehicle has finished docking based on the current positioning data, historical driving data, and temperature information within a preset time period;

[0031] a determination module, configured to determine a corresponding target battery available capacity according to the predicted battery temperature;

[0032] The reminder module is used to output charging reminder information when the cruising range corresponding to the target battery available capacity is less than the target range, wherein the target range is used to indicate the distance between the current position of the electric vehicle and the target charging station.

[0033] An electric vehicle includes a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the following steps are implemented:

[0034] When the electric vehicle is detected to be in a parked state, current positioning data, historical driving data, and temperature information within a preset time period of the electric vehicle are obtained;

[0035] Calculating a predicted battery temperature of the electric vehicle after the stop based on the current positioning data, historical driving data, and temperature information within a preset time period;

[0036] determining a corresponding target battery available capacity according to the predicted battery temperature;

[0037] When the cruising range corresponding to the target battery available capacity is less than the target range, a charging reminder message is output, wherein the target range is used to indicate the distance between the current position of the electric vehicle and the target charging station.

[0038] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the following steps:

[0039] When the electric vehicle is detected to be in a parked state, current positioning data, historical driving data, and temperature information within a preset time period of the electric vehicle are obtained;

[0040] Calculating a predicted battery temperature of the electric vehicle after the stop based on the current positioning data, historical driving data, and temperature information within a preset time period;

[0041] determining a corresponding target battery available capacity according to the predicted battery temperature;

[0042] When the cruising range corresponding to the target battery available capacity is less than the target range, a charging reminder message is output, wherein the target range is used to indicate the distance between the current position of the electric vehicle and the target charging station.

[0043] Based on the above-mentioned electric vehicle charging reminder method, when it is detected that the electric vehicle is in a parked state, the predicted battery temperature of the electric vehicle when it is next started and used after the parking is completed is determined based on the current positioning data, historical driving data and temperature information within a preset time period of the electric vehicle. The predicted battery temperature refers to the battery temperature of the electric vehicle when the battery cools down after the electric vehicle has been parked for a period of time. The corresponding target battery available capacity is determined based on the predicted battery temperature, that is, the impact of temperature changes on the battery capacity of the electric vehicle is combined, and based on the comparison relationship between the cruising range corresponding to the target battery available capacity and the target range, it is judged whether the target battery available capacity is sufficient to support the electric vehicle to drive to the target charging station at the next start. When the cruising range corresponding to the target battery available capacity is less than the target range, it means that the target battery available capacity is insufficient to support the electric vehicle to drive to the target charging station at the next start. In this case, a charging reminder message is issued during this parking, thereby reminding the user to charge before this parking, so as to avoid the user being unable to use the car due to lack of power the next time the user uses the car. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] Figure 1 This is a flow chart of a method for reminding an electric vehicle to charge according to an embodiment of the present application;

[0045] Figure 2 This is a flow chart of a method for reminding an electric vehicle to charge according to an embodiment of the present application;

[0046] Figure 3 This is a structural block diagram of the electric vehicle charging reminder device in an embodiment of the present application;

[0047] Figure 4 This is a diagram of the internal structure of an electric vehicle in an embodiment of the present application. DETAILED DESCRIPTION

[0048] In order to make the purpose, technical solutions and advantages of this application more clear, the following further describes this application in detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain this application and are not intended to limit this application.

[0049] In one embodiment, Figure 1 As shown, a method for reminding an electric vehicle to charge is provided. The method is described by taking an electric vehicle as an example, and includes the following steps:

[0050] Step S210 , when it is detected that the electric vehicle is in a parked state, current positioning data, historical driving data, and temperature information within a preset time period of the electric vehicle are obtained.

[0051] Specifically, the criterion for determining whether an electric vehicle is in a parking state may be that the vehicle speed is zero or the wheel rotation state is stopped, and the current positioning data, historical driving data and temperature information within a preset time period of the electric vehicle are obtained. The current positioning data is used to indicate the current position of the electric vehicle, specifically including the coordinates of the position of the electric vehicle. The historical driving data includes the previous mileage, driving time data, driving route and the duration of each stop at the driving route of the electric vehicle. The user's car usage habits can be obtained based on the analysis of the historical driving data. The preset time period includes a first preset time period and a second preset time period. The first preset time period is the historical time period before the current moment, and the second preset time period is the future time period after the current moment. The preset time period may be specifically in units of hours, days, weeks, or months. For example, the preset time period is 10 days, and the temperature information within the preset time period represents the ambient temperature of the last 10 days.

[0052] Step S220 , calculating the predicted battery temperature of the electric vehicle after the parking is completed based on the current positioning data, historical driving data, and temperature information within a preset time period.

[0053] Specifically, based on the electric vehicle's current positioning data, historical driving data, and temperature information within a preset time period, the predicted battery temperature of the electric vehicle when it is started next time after the electric vehicle is docked is predicted. The predicted battery temperature is used to indicate the battery temperature of the electric vehicle when it is started next time after the electric vehicle has been docked for a period of time and the battery has cooled down.

[0054] Step S230 : determining a corresponding target battery available capacity according to the predicted battery temperature.

[0055] Specifically, the available capacity of the battery at different temperatures can be obtained through actual battery measurement. The lower the battery temperature, the smaller the corresponding available capacity of the battery. The available capacity of the battery is directly proportional to the battery temperature.

[0056] Step S240: Output charging reminder information when the cruising range corresponding to the target battery available capacity is less than the target range, wherein the target range is used to indicate the distance between the current position of the electric vehicle and the target charging station.

[0057] Specifically, based on the comparison between the range corresponding to the target battery available capacity and the target range, it is determined whether the target battery available capacity is sufficient to support the electric vehicle to drive to the target charging station at the next start. The target charging station can be the charging station with the shortest driving distance from the electric vehicle's current location, or a charging station that the user frequently visits, or a user-defined charging station. If the range corresponding to the target battery available capacity is less than the target range, indicating that the target battery available capacity is insufficient to support the electric vehicle to drive to the target charging station at the next start, a charging reminder message is issued during the current parking. The charging reminder message can be output through the electric vehicle's display screen, voice broadcast, or sent to a mobile terminal associated with the electric vehicle, thereby reminding the user to drive to the target charging station to charge before the battery temperature cools down before parking. This avoids the situation where the actual battery available capacity cannot support the electric vehicle to drive to the target charging station due to battery temperature cooling the next time the user uses the vehicle, thereby causing the electric vehicle to run out of power and become unusable.

[0058] In one embodiment, Figure 2 As shown, the predicted battery temperature of the electric vehicle after the parking is completed is calculated based on the current positioning data, historical driving data and temperature information within a preset time period, that is, step S220 includes:

[0059] Step S2201, determining a predicted parking time of the electric vehicle at the current location based on the current positioning data and historical driving data;

[0060] Step S2202 : determining a predicted battery temperature of the electric vehicle after the stop according to the temperature information within a preset time period and the predicted stop time period.

[0061] Specifically, the locations and historical stop times that match the current positioning data are queried in the historical driving data to determine the predicted stop time that the electric vehicle may stay at the current location. Based on the change in battery temperature during the predicted stop time, the battery temperature of the electric vehicle at the end of the predicted stop time, i.e., the predicted battery temperature, is determined.

[0062] In one embodiment, the temperature information within the preset duration includes the current battery temperature and the predicted ambient temperature at the end of the predicted parking duration. Determining the predicted battery temperature of the electric vehicle after the end of the parking based on the temperature information within the preset duration and the predicted parking duration includes:

[0063] A predicted battery temperature of the electric vehicle at the end of the predicted parking time is determined according to a temperature difference between the current battery temperature and the predicted ambient temperature.

[0064] Specifically, the current battery temperature is recorded as T1, the predicted ambient temperature is recorded as T2, and the temperature difference is recorded as ΔT=T1-T2. Different temperature differences correspond to different temperature drop rates, that is, when different temperature drop rates take the same current battery temperature as the starting point, the corresponding predicted battery temperature when the temperature drop time reaches the predicted docking time is also different. Therefore, the temperature drop of the current battery temperature within the predicted docking time is predicted based on the temperature difference between the current battery temperature and the predicted ambient temperature. Based on the temperature drop, the battery temperature when the predicted docking time is reached is used as the predicted battery temperature.

[0065] In one embodiment, determining the predicted battery temperature of the electric vehicle at the end of the predicted parking time based on the temperature difference between the current battery temperature and the predicted ambient temperature includes:

[0066] determining a target temperature reduction strategy for the electric vehicle within the predicted parking duration based on a temperature difference between the current battery temperature and the predicted ambient temperature, wherein the target temperature reduction strategy is used to indicate battery temperature changes of the electric vehicle at different times;

[0067] Determining a temperature drop time from the current battery temperature to the predicted ambient temperature according to the target temperature drop strategy;

[0068] According to a comparison result between the temperature drop time and the predicted stop time, a predicted battery temperature of the electric vehicle at the end of the predicted stop time is determined.

[0069] Specifically, different temperature differences correspond to different temperature reduction strategies. The temperature reduction strategy includes multiple different temperature reduction stages. Each temperature reduction stage corresponds to a different temperature reduction value. The temperature reduction strategy corresponding to the temperature range is determined based on the temperature range to which the temperature difference belongs.

[0070] The temperature drop of the battery after it has been left at rest is a heat exchange process, which is mainly affected by the temperature difference between the current battery temperature and the predicted ambient temperature. The target value of the temperature drop is the predicted ambient temperature. The greater the temperature difference, the faster the temperature drop. When the temperature difference decreases, the temperature drop will slow down. By collecting the measured data of the battery pack, a corresponding relationship between the temperature drop of the battery and the system per unit time under different temperature difference ranges can be established. Each unit time corresponds to a temperature drop stage. For example, when the temperature difference is less than 5°C, in the first temperature drop stage (first hour), the current battery temperature drops by 3°C. In the second temperature drop stage (second hour), the current battery temperature continues to drop by 2°C on the basis of the first temperature drop stage. After two hours, the battery temperature drops to the same level as the predicted ambient temperature.

[0071] If the temperature difference is greater than 5°C and less than 10°C, in the first temperature drop stage (first hour), the current battery temperature drops by 5°C. In the second temperature drop stage (second hour), the current battery temperature continues to drop by 3°C based on the first temperature drop stage. In the third temperature drop stage (third hour), the current battery temperature continues to drop by 2°C based on the second temperature drop stage. After three hours, the battery temperature drops to the same level as the predicted ambient temperature.

[0072] If the temperature difference is greater than 15°C and less than 20°C, in the first temperature drop phase (the first hour), the current battery temperature drops by 8°C. In the second temperature drop phase (the second hour), the current battery temperature drops by 5°C based on the first temperature drop phase. In the third temperature drop phase (the third hour), the current battery temperature drops by 3°C based on the second temperature drop phase. In the fourth temperature drop phase (the fourth hour), the current battery temperature drops by 2°C based on the third temperature drop phase. After four hours, the battery temperature drops to the same level as the predicted ambient temperature. Similarly, different temperature drop strategies contain different number of temperature drop phases, and each temperature drop phase corresponds to a different temperature drop value.

[0073] The predicted battery temperature is determined by predicting the temperature drop to which the battery will reach at the end of the predicted parking time based on the temperature drop strategy corresponding to the temperature difference. Prior to this, historical battery monitoring data is first established as an initial calibration quantity in the algorithm. The initial calibration quantity is then judged and corrected using the collected actual data. Because the actual ambient temperature may also change over time, the error in the temperature drop per unit time is only corrected if it exceeds a preset difference. In this embodiment, the preset difference is set to 2°C. For example, if the temperature difference is greater than 15°C and less than 20°C for five consecutive days, and the actual temperature drop in the first hour is 11°C, then the temperature drop value for the first temperature drop stage in the temperature drop strategy corresponding to this temperature difference is corrected from 8°C to 11°C. The temperature drop value for the second hour is 6°C. Since the temperature drop error is less than 2°C, no correction is made. The temperature drop value for the second temperature drop stage in the temperature drop strategy used when predicting the future battery temperature is still 5°C.

[0074] The next time the driver drives is estimated through historical driving data, that is, the predicted end time of the stop. The ambient temperature when the driver drives next is determined through temperature information, thereby obtaining the predicted ambient temperature. The corresponding temperature reduction strategy is determined according to the temperature difference between the current battery temperature and the predicted ambient temperature. The time required for the current battery temperature to drop to the predicted ambient temperature, that is, the temperature reduction time, can also be known according to the temperature reduction strategy. The temperature of the battery when the vehicle is next used is determined based on the comparison relationship between the temperature reduction time and the predicted stop time.

[0075] In one embodiment, determining the predicted battery temperature of the electric vehicle at the end of the predicted parking time based on a comparison result between the temperature drop time and the predicted parking time includes:

[0076] When the temperature drop time is less than or equal to the predicted parking time, the predicted environment is used as the predicted battery temperature of the electric vehicle at the end of the predicted parking time.

[0077] Specifically, if the temperature drop duration is equal to the predicted stop duration, it means that the predicted stop duration ends when the current battery temperature of the electric vehicle drops to the predicted ambient temperature. If the temperature drop duration is less than the predicted stop duration, it means that the current battery temperature of the electric vehicle has dropped to the predicted ambient temperature before the predicted stop duration ends. In both cases, the predicted ambient temperature will be used as the predicted battery temperature, that is, the current battery temperature is consistent with the predicted ambient temperature.

[0078] In one embodiment, determining the predicted battery temperature of the electric vehicle at the end of the predicted parking time based on a comparison result between the temperature drop time and the predicted parking time includes:

[0079] When the temperature drop duration is greater than the predicted stop duration, the battery temperature when the battery temperature change duration reaches the predicted stop duration will be determined according to the target temperature drop strategy as the predicted battery temperature of the electric vehicle at the end of the predicted stop duration.

[0080] Specifically, if the temperature drop time is greater than the predicted stop time, it means that the predicted stop time ends before the battery of the electric vehicle drops from the current battery temperature to the predicted ambient temperature, that is, the next time the vehicle is used comes before the current battery temperature drops to the predicted ambient temperature. In other words, the current battery temperature has not dropped to the predicted ambient temperature when the predicted stop time ends. Therefore, the temperature to which the current battery temperature drops when the predicted stop time ends is determined according to the target temperature drop strategy, and this temperature is used as the predicted battery temperature.

[0081] In one embodiment, determining the corresponding target battery available capacity according to the predicted battery temperature includes:

[0082] The target battery available capacity of the electric vehicle after parking is completed is determined based on the difference between the battery capacity retention rate corresponding to the predicted battery temperature multiplied by the preset rated capacity and the current battery used capacity of the electric vehicle.

[0083] Specifically, actual battery measurements can reveal the battery capacity retention rate at different temperatures. For example, at room temperature above 25°C, the battery capacity retention rate is 100% or even higher. As the temperature decreases, the battery capacity retention rate gradually decreases, for example, 95% at 10°C, 87% at 0°C, and 80% at -10°C. Therefore, in order to more accurately calculate the actual available battery capacity of an electric vehicle at the next start, it is necessary to consider the impact of battery temperature on battery capacity: target battery available capacity = preset rated capacity * current capacity retention rate - current battery used capacity, where preset rated capacity refers to the battery rated capacity at room temperature, current capacity retention rate refers to the battery capacity retention rate corresponding to the predicted battery temperature, and current battery used capacity refers to the capacity used before the vehicle is docked.

[0084] It should be understood that although Figure 1 The steps in the flowchart are shown in sequence as indicated by the arrows, but these steps are not necessarily executed in the order indicated by the arrows. Unless otherwise specified in this document, there is no strict order restriction for the execution of these steps, and these steps can be executed in other orders. In addition, Figure 1 At least part of the steps may include multiple sub-steps or multiple stages. These sub-steps or stages are not necessarily executed at the same time, but can be executed at different times. The execution order of these sub-steps or stages is not necessarily sequential, but can be executed in turn or alternately with other steps or at least part of the sub-steps or stages of other steps.

[0085] In one embodiment, Figure 3 As shown, a charging reminder device for an electric vehicle is provided, comprising:

[0086] The acquisition module 310 is used to acquire the current positioning data, historical driving data and temperature information within a preset time period of the electric vehicle when it is detected that the electric vehicle is in a parked state;

[0087] A prediction module 320 is configured to calculate a predicted battery temperature of the electric vehicle after the electric vehicle has finished docking based on the current positioning data, historical driving data, and temperature information within a preset time period;

[0088] a determination module 330, configured to determine a corresponding target battery available capacity according to the predicted battery temperature;

[0089] The reminder module 340 is used to output charging reminder information when the cruising range corresponding to the target battery available capacity is less than the target range, wherein the target range is used to indicate the distance between the current position of the electric vehicle and the target charging station.

[0090] In one embodiment, the prediction module 320 is further configured to:

[0091] Determining a predicted parking duration of the electric vehicle at a current location based on the current positioning data and historical driving data;

[0092] The predicted battery temperature of the electric vehicle after the parking is completed is determined based on the temperature information within the preset time period and the predicted parking time period.

[0093] In one embodiment, the prediction module 320 is further configured to:

[0094] A predicted battery temperature of the electric vehicle at the end of the predicted parking time is determined according to a temperature difference between the current battery temperature and the predicted ambient temperature.

[0095] In one embodiment, the prediction module 320 is further configured to:

[0096] determining a target temperature reduction strategy for the electric vehicle within the predicted parking duration based on a temperature difference between the current battery temperature and the predicted ambient temperature, wherein the target temperature reduction strategy is used to indicate battery temperature changes of the electric vehicle at different times;

[0097] Determining a temperature drop time from the current battery temperature to the predicted ambient temperature according to the target temperature drop strategy;

[0098] According to a comparison result between the temperature drop time and the predicted stop time, a predicted battery temperature of the electric vehicle at the end of the predicted stop time is determined.

[0099] In one embodiment, the prediction module 320 is further configured to:

[0100] When the temperature drop time is less than or equal to the predicted parking time, the predicted environment is used as the predicted battery temperature of the electric vehicle at the end of the predicted parking time.

[0101] In one embodiment, the prediction module 320 is further configured to:

[0102] When the temperature drop duration is greater than the predicted stop duration, the battery temperature when the battery temperature change duration reaches the predicted stop duration will be determined according to the target temperature drop strategy as the predicted battery temperature of the electric vehicle at the end of the predicted stop duration.

[0103] In one embodiment, the determining module 330 is further configured to:

[0104] The target battery available capacity of the electric vehicle after parking is completed is determined based on the difference between the battery capacity retention rate corresponding to the predicted battery temperature multiplied by the preset rated capacity and the current battery used capacity of the electric vehicle.

[0105] The specific definitions of the electric vehicle charging reminder device can be found in the definitions of the electric vehicle charging reminder method above and will not be repeated here. Each module in the above-mentioned electric vehicle charging reminder device can be implemented in whole or in part through software, hardware, or a combination thereof. Each of these modules can be embedded in or independent of the processor in the electric vehicle in hardware form, or can be stored in the electric vehicle's memory in software form, so that the processor can call and execute the corresponding operations of each module.

[0106] In one embodiment, an electric vehicle is provided, the internal structure of which may be shown in FIGY. The electric vehicle includes a processor, a memory, a network interface, and a database connected via a system bus. The processor of the electric vehicle is used to provide computing and control capabilities. The memory of the electric vehicle includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of the operating system and computer program in the non-volatile storage medium. The database of the electric vehicle is used to store electric vehicle charging reminder data. The network interface of the electric vehicle is used to communicate with an external terminal via a network connection. When the computer program is executed by the processor, a method for charging reminder of an electric vehicle is implemented.

[0107] Those skilled in the art will understand that Figure 4 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the electric vehicle to which the solution of the present application is applied. A specific electric vehicle may include more or fewer components than shown in the figure, or combine certain components, or have a different component arrangement.

[0108] In one embodiment, an electric vehicle is provided, including a memory and a processor, wherein a computer program is stored in the memory, and when the processor executes the computer program, the following steps are implemented:

[0109] When the electric vehicle is detected to be in a parked state, current positioning data, historical driving data, and temperature information within a preset time period of the electric vehicle are obtained;

[0110] Calculating a predicted battery temperature of the electric vehicle after the stop based on the current positioning data, historical driving data, and temperature information within a preset time period;

[0111] determining a corresponding target battery available capacity according to the predicted battery temperature;

[0112] When the cruising range corresponding to the target battery available capacity is less than the target range, a charging reminder message is output, wherein the target range is used to indicate the distance between the current position of the electric vehicle and the target charging station.

[0113] In one embodiment, when the processor executes the computer program, the processor further implements the following steps:

[0114] Determining a predicted parking duration of the electric vehicle at a current location based on the current positioning data and historical driving data;

[0115] The predicted battery temperature of the electric vehicle after the parking is completed is determined based on the temperature information within the preset time period and the predicted parking time period.

[0116] In one embodiment, when the processor executes the computer program, the processor further implements the following steps:

[0117] A predicted battery temperature of the electric vehicle at the end of the predicted parking time is determined according to a temperature difference between the current battery temperature and the predicted ambient temperature.

[0118] In one embodiment, when the processor executes the computer program, the processor further implements the following steps:

[0119] determining a target temperature reduction strategy for the electric vehicle within the predicted parking duration based on a temperature difference between the current battery temperature and the predicted ambient temperature, wherein the target temperature reduction strategy is used to indicate battery temperature changes of the electric vehicle at different times;

[0120] Determining a temperature drop time from the current battery temperature to the predicted ambient temperature according to the target temperature drop strategy;

[0121] According to a comparison result between the temperature drop time and the predicted stop time, a predicted battery temperature of the electric vehicle at the end of the predicted stop time is determined.

[0122] In one embodiment, when the processor executes the computer program, the processor further implements the following steps:

[0123] When the temperature drop time is less than or equal to the predicted parking time, the predicted environment is used as the predicted battery temperature of the electric vehicle at the end of the predicted parking time.

[0124] In one embodiment, when the processor executes the computer program, the processor further implements the following steps:

[0125] When the temperature drop duration is greater than the predicted stop duration, the battery temperature when the battery temperature change duration reaches the predicted stop duration will be determined according to the target temperature drop strategy as the predicted battery temperature of the electric vehicle at the end of the predicted stop duration.

[0126] In one embodiment, when the processor executes the computer program, the processor further implements the following steps:

[0127] The target battery available capacity of the electric vehicle after parking is completed is determined based on the difference between the battery capacity retention rate corresponding to the predicted battery temperature multiplied by the preset rated capacity and the current battery used capacity of the electric vehicle.

[0128] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the following steps are implemented:

[0129] When the electric vehicle is detected to be in a parked state, current positioning data, historical driving data, and temperature information within a preset time period of the electric vehicle are obtained;

[0130] Calculating a predicted battery temperature of the electric vehicle after the stop based on the current positioning data, historical driving data, and temperature information within a preset time period;

[0131] determining a corresponding target battery available capacity according to the predicted battery temperature;

[0132] When the cruising range corresponding to the target battery available capacity is less than the target range, a charging reminder message is output, wherein the target range is used to indicate the distance between the current position of the electric vehicle and the target charging station.

[0133] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented:

[0134] Determining a predicted parking duration of the electric vehicle at a current location based on the current positioning data and historical driving data;

[0135] The predicted battery temperature of the electric vehicle after the parking is completed is determined based on the temperature information within the preset time period and the predicted parking time period.

[0136] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented:

[0137] A predicted battery temperature of the electric vehicle at the end of the predicted parking time is determined according to a temperature difference between the current battery temperature and the predicted ambient temperature.

[0138] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented:

[0139] determining a target temperature reduction strategy for the electric vehicle within the predicted parking duration based on a temperature difference between the current battery temperature and the predicted ambient temperature, wherein the target temperature reduction strategy is used to indicate battery temperature changes of the electric vehicle at different times;

[0140] Determining a temperature drop time from the current battery temperature to the predicted ambient temperature according to the target temperature drop strategy;

[0141] According to a comparison result between the temperature drop time and the predicted stop time, a predicted battery temperature of the electric vehicle at the end of the predicted stop time is determined.

[0142] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented:

[0143] When the temperature drop time is less than or equal to the predicted parking time, the predicted environment is used as the predicted battery temperature of the electric vehicle at the end of the predicted parking time.

[0144] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented:

[0145] When the temperature drop duration is greater than the predicted stop duration, the battery temperature when the battery temperature change duration reaches the predicted stop duration will be determined according to the target temperature drop strategy as the predicted battery temperature of the electric vehicle at the end of the predicted stop duration.

[0146] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented:

[0147] The target battery available capacity of the electric vehicle after parking is completed is determined based on the difference between the battery capacity retention rate corresponding to the predicted battery temperature multiplied by the preset rated capacity and the current battery used capacity of the electric vehicle.

[0148] Those skilled in the art will appreciate that all or part of the processes in the above-mentioned embodiments can be implemented by instructing the relevant hardware through a computer program. The computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application can include non-volatile and / or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in various forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

[0149] The technical features of the above embodiments can be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0150] The above-described embodiments merely represent several implementation methods of the present application. While the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the patent application. It should be noted that a person of ordinary skill in the art may make various modifications and improvements without departing from the spirit of the present application, and these modifications and improvements fall within the scope of protection of the present application. Therefore, the scope of protection of the present patent application shall be determined by the appended claims.

Claims

1. A method for reminding an electric vehicle to charge, characterized in that: The following steps are involved: When the electric vehicle is detected to be in a parked state, current positioning data, historical driving data, and temperature information within a preset time period of the electric vehicle are obtained; the temperature information within the preset time period includes the current battery temperature and the predicted ambient temperature at the end of the predicted parking time period; Determining a predicted parking duration of the electric vehicle at a current location based on the current positioning data and historical driving data; determining a target temperature reduction strategy for the electric vehicle within the predicted parking duration based on a temperature difference between the current battery temperature and the predicted ambient temperature, wherein the target temperature reduction strategy is used to indicate battery temperature changes of the electric vehicle at different times; Determining a temperature drop time from the current battery temperature to the predicted ambient temperature according to the target temperature drop strategy; determining a predicted battery temperature of the electric vehicle at the end of the predicted parking time based on a comparison result between the temperature drop time and the predicted parking time; determining a corresponding target battery available capacity according to the predicted battery temperature; When the cruising range corresponding to the target battery available capacity is less than the target range, a charging reminder message is output, wherein the target range is used to indicate the distance between the current position of the electric vehicle and the target charging station.

2. The electric vehicle charging reminder method according to claim 1, characterized in that: The step of determining the predicted battery temperature of the electric vehicle at the end of the predicted parking time based on a comparison result between the temperature drop time and the predicted parking time includes: When the temperature drop time is less than or equal to the predicted parking time, the predicted environment is used as the predicted battery temperature of the electric vehicle at the end of the predicted parking time.

3. The electric vehicle charging reminder method according to claim 1, characterized in that: The step of determining the predicted battery temperature of the electric vehicle at the end of the predicted parking time based on a comparison result between the temperature drop time and the predicted parking time includes: When the temperature drop duration is greater than the predicted stop duration, the battery temperature when the battery temperature change duration reaches the predicted stop duration will be determined according to the target temperature drop strategy as the predicted battery temperature of the electric vehicle at the end of the predicted stop duration.

4. The electric vehicle charging reminder method according to claim 1, characterized in that: The determining the corresponding target battery available capacity according to the predicted battery temperature includes: The target battery available capacity of the electric vehicle after parking is completed is determined based on the difference between the battery capacity retention rate corresponding to the predicted battery temperature multiplied by the preset rated capacity and the current battery used capacity of the electric vehicle.

5. An electric vehicle charging reminder device, characterized in that: The device comprises: an acquisition module, configured to acquire, upon detecting that the electric vehicle is in a parked state, current positioning data, historical driving data, and temperature information within a preset time period of the electric vehicle; the temperature information within the preset time period includes the current battery temperature and the predicted ambient temperature at the end of the predicted parking time period; a prediction module for determining a predicted parking duration of the electric vehicle at a current location based on the current positioning data and historical driving data; determining a target temperature reduction strategy for the electric vehicle within the predicted parking duration based on a temperature difference between the current battery temperature and the predicted ambient temperature, wherein the target temperature reduction strategy is used to indicate battery temperature changes of the electric vehicle at different times; determining a temperature reduction time from the current battery temperature to the predicted ambient temperature according to the target temperature reduction strategy; and determining a predicted battery temperature of the electric vehicle at the end of the predicted parking duration based on a comparison result between the temperature reduction time and the predicted parking duration; a determination module, configured to determine a corresponding target battery available capacity according to the predicted battery temperature; The reminder module is used to output charging reminder information when the cruising range corresponding to the target battery available capacity is less than the target range, wherein the target range is used to indicate the distance between the current position of the electric vehicle and the target charging station.

6. An electric vehicle comprising a memory and a processor, wherein the memory stores a computer program, characterized in that: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 4 are implemented.

7. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 4 are implemented.

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