Mileage prediction method, device, electronic device and storage medium

Abstract

The present application relates to the technical field of mileage prediction, and provides a mileage prediction method, device, electronic device and storage medium. The method obtains the real-time remaining power of the vehicle, and determines the initial cruising range of the vehicle according to the real-time remaining power; determines the current position of the vehicle and the driving path of the vehicle, and determines the target charging station according to the current position, driving path and initial cruising range of the vehicle; realizes the flexible determination of the target charging station based on the driving path, current position and initial cruising range of the vehicle, and predicts the charging of the vehicle based on the historical charging data of the vehicle at the target charging station and the current state of the target charging station to obtain the predicted charging power; determines the predicted cruising range of the vehicle based on the predicted charging power and the real-time remaining power, and realizes the prediction of the cruising range of the vehicle after charging, avoiding the problem that the vehicle can only obtain the remaining driving range corresponding to the real-time remaining power, and cannot perform mileage prediction in combination with the driving path.

Description

Technical Field

[0001] The present application relates to the technical field of mileage prediction, and in particular to a mileage prediction method, device, electronic device and storage medium. Background Art

[0002] New energy vehicles refer to vehicles that use unconventional automotive fuels as their power source (or use conventional automotive fuels and adopt new on-board power devices), and integrate advanced technologies in vehicle power control and drive to form vehicles with advanced technical principles, new technologies, and new structures.

[0003] Battery Electric Vehicles (BEV) is a type of new energy vehicle that uses batteries as a power source for energy storage. The batteries provide electricity to the motors to drive the motors, thereby driving the vehicles. BEVs have been widely recognized by users for their advantages such as zero emissions, high energy efficiency, simple structure, low noise, and wide range of raw materials, and have entered a stage of rapid popularization. However, in daily use, the vehicle only displays the actual remaining mileage, which causes mileage anxiety in users. How to combine the user's route planning to predict mileage and alleviate the user's mileage anxiety has become an urgent problem to be solved. Summary of the invention

[0004] In view of this, the embodiments of the present application provide a mileage prediction method, device, electronic device and storage medium to solve the problem in the prior art that the vehicle only displays the actual remaining mileage and cannot perform mileage prediction in combination with the driving route.

[0005] In a first aspect of an embodiment of the present application, a mileage prediction method is provided, the method comprising: obtaining a real-time remaining power of a vehicle, and determining an initial cruising range of the vehicle based on the real-time remaining power; determining a current position of the vehicle and a driving path of the vehicle, and determining a target charging station based on the current position of the vehicle, the driving path, and the initial cruising range; performing a charging prediction on the vehicle based on the historical charging data of the vehicle at the target charging station and the current status of the target charging station to obtain a predicted charging power; determining a predicted cruising range of the vehicle based on the predicted charging power and the real-time remaining power.

[0006] According to a second aspect of an embodiment of the present application, a mileage prediction device is provided, which includes: an acquisition module, a user obtains the real-time remaining power of the vehicle, and determines the initial cruising range of the vehicle based on the real-time remaining power; a determination module, used to determine the current position of the vehicle and the driving path of the vehicle, and determine the target charging station based on the current position, driving path and initial cruising range of the vehicle; a prediction module, used to predict the charging of the vehicle based on the historical charging data of the vehicle at the target charging station and the current status of the target charging station, and obtain a predicted charging power; the prediction module is also used to determine the predicted cruising range of the vehicle based on the predicted charging power and the real-time remaining power.

[0007] According to a third aspect of an embodiment of the present application, an electronic device is provided, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the above method when executing the computer program.

[0008] According to a fourth aspect of an embodiment of the present application, a readable storage medium is provided, which stores a computer program, and when the computer program is executed by a processor, the steps of the above method are implemented.

[0009] Compared with the prior art, the beneficial effects of the embodiments of the present application are as follows: in the example of the present application, the real-time remaining power of the vehicle is obtained, and the initial cruising range of the vehicle is determined according to the real-time remaining power; the current position of the vehicle and the driving path of the vehicle are determined, and the target charging station is determined according to the current position, driving path and initial cruising range of the vehicle; the target charging station is flexibly determined based on the driving path, current position and initial cruising range of the vehicle, and the charging of the vehicle is predicted based on the historical charging data of the vehicle at the target charging station and the current status of the target charging station to obtain the predicted charging power; the predicted cruising range of the vehicle is determined based on the predicted charging power and the real-time remaining power, and the cruising range of the vehicle after charging is predicted, which avoids the problem in the related art that the vehicle can only obtain the remaining driving range corresponding to the real-time remaining power and cannot make mileage predictions based on the driving path. BRIEF DESCRIPTION OF THE DRAWINGS

[0010] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0011] Figure 1 It is a flowchart of a mileage prediction method provided in an embodiment of the present application;

[0012] Figure 2is a flowchart of another mileage prediction method provided in an embodiment of the present application;

[0013] Figure 3 is a flowchart of another mileage prediction method provided in an embodiment of the present application;

[0014] Figure 4 It is a flowchart of another mileage prediction method provided in an embodiment of the present application;

[0015] Figure 5 is a flowchart of another optional mileage prediction method provided in an embodiment of the present application;

[0016] Figure 6 is a flowchart of another optional mileage prediction method provided in an embodiment of the present application;

[0017] Figure 7 is a flowchart of another optional mileage prediction method provided in an embodiment of the present application;

[0018] Figure 8 is a structural schematic diagram of a mileage prediction device provided in an embodiment of the present application;

[0019] Fig. 9 It is a structural schematic diagram of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0020] In the following description, specific details such as specific system structures, technologies, etc. are provided for the purpose of illustration rather than limitation, so as to provide a thorough understanding of the embodiments of the present application. However, it should be clear to those skilled in the art that the present application may also be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to prevent unnecessary details from obstructing the description of the present application.

[0021] A mileage prediction method and device according to an embodiment of the present application will be described in detail below with reference to the accompanying drawings.

[0022] Figure 1 This is a mileage prediction method provided by an embodiment of the present application, such as Figure 1 As shown, the method includes:

[0023] S101, obtaining the real-time remaining power of the vehicle, and determining the initial cruising range of the vehicle according to the real-time remaining power;

[0024] S102, determining the current position of the vehicle and the driving path of the vehicle, and determining the target charging station according to the current position of the vehicle, the driving path and the initial cruising range;

[0025] S103, based on the historical charging data of the vehicle at the target charging station and the current state of the target charging station, performing charging prediction for the vehicle to obtain a predicted charging power;

[0026] S104: Determine the predicted cruising range of the vehicle based on the predicted charging power and the real-time remaining power.

[0027] Specifically, the mileage prediction method provided in this example is applied to vehicles, including vehicles with automatic driving or intelligent driving (including vehicles with passenger functions (such as cars, buses, large buses, minibuses, etc.), vehicles with cargo functions (such as ordinary trucks, vans, trailers, closed trucks, tank trucks, flatbed trucks, container trucks, dump trucks, trucks with special structures), special vehicles (such as logistics distribution vehicles, automatic guided transport vehicles AGV, patrol cars, cranes, cranes, excavators, bulldozers, forklifts, rollers, loaders, off-road engineering vehicles, armored engineering vehicles, sewage treatment vehicles, sanitation vehicles, vacuum trucks, floor washing vehicles, sprinkler trucks, sweeping robots, food delivery robots, shopping guide robots, lawn mowers, golf carts, etc.), vehicles with entertainment functions (such as entertainment vehicles, amusement park automatic driving devices, balance cars, etc.), rescue vehicles (such as fire trucks, ambulances, power repair vehicles, engineering rescue vehicles, etc.)), etc.

[0028] In some examples, step S101 determines the initial cruising range by obtaining the real-time remaining power of the vehicle and determining the initial cruising range according to the real-time remaining power and the real-time unit mileage energy consumption. Specifically, the quotient of the real-time remaining power and the real-time unit mileage energy consumption is used as the initial cruising range, and the calculation formula is as follows: L = P / M;

[0029] Among them, L is the initial remaining driving range, P is the real-time remaining power, and M is the real-time energy consumption per unit mileage. The initial driving range is determined by the real-time remaining power of the vehicle and the real-time energy consumption per unit mileage, so that the initial driving range is determined based on the real-time usage of the vehicle. The initial remaining driving range is time-sensitive, which can improve the accuracy of the initial remaining driving range compared to the existing technology based on the real-time remaining power and fixed energy consumption per unit mileage.

[0030] It can be understood that the above-mentioned real-time energy consumption per unit mileage is determined based on the usage of the vehicle systems (such as the air-conditioning system, the audio and video system), the road conditions and the ambient temperature.

[0031] In some examples, step S102 determines the current position of the vehicle and the driving path of the vehicle. Specifically, the current position of the vehicle can be determined by the vehicle's positioning system, and the driving path of the vehicle can be determined by the vehicle's navigation system. The vehicle will then determine the target charging station based on its current position, driving path, and initial cruising range, thereby achieving flexible determination of the target charging station based on the vehicle's driving path, current position, and initial cruising range, avoiding the use of a fixed charging station as the target charging station, which is different from the driving path and requires the user to drive there specifically, resulting in a waste of time and resources.

[0032] In some examples, step S103 obtains the historical charging data of the vehicle at the target charging station, and based on the historical charging data of the vehicle at the target charging station and the current state of the target charging station, performs a charging prediction for the vehicle to obtain a predicted charging power, that is, estimates the charging time and charging efficiency of the vehicle at the target charging station, and obtains the predicted charging power based on the estimated charging time and charging efficiency; it can be understood that the charging efficiency is affected by the environment, charging equipment, etc., that is, relevant personnel can jointly determine the charging efficiency based on the environment and charging equipment; wherein, within the same charging time, different charging efficiencies will result in different predicted charging powers; for example, when the charging time is A and the charging efficiency is B, the predicted charging power is A*B, and when the charging time is A and the charging efficiency is C, the predicted charging power is A*C.

[0033] In some examples, step S104 determines the predicted range of the vehicle based on the predicted charging power and the real-time remaining power, thereby predicting the range of the vehicle after charging. This avoids the problem in related technologies that the vehicle can only obtain the remaining mileage corresponding to the real-time remaining power and cannot make mileage predictions based on the driving route.

[0034] According to the technical solution provided in the embodiment of the present application, the real-time remaining power of the vehicle is obtained, and the initial cruising range of the vehicle is determined according to the real-time remaining power; the current position of the vehicle and the driving path of the vehicle are determined, and the target charging station is determined according to the current position, driving path and initial cruising range of the vehicle; the target charging station is flexibly determined based on the driving path, current position and initial cruising range of the vehicle, and the charging of the vehicle is predicted based on the historical charging data of the vehicle at the target charging station and the current status of the target charging station to obtain the predicted charging power; the predicted cruising range of the vehicle is determined based on the predicted charging power and the real-time remaining power, thereby predicting the cruising range of the vehicle after charging, avoiding the problem in the related art that the vehicle can only obtain the remaining driving range corresponding to the real-time remaining power and cannot make a mileage prediction based on the driving path.

[0035] In some embodiments, Figure 2As shown, the target charging station is determined according to the current position, driving path and initial cruising range of the vehicle, including:

[0036] S201, determining a target driving distance of the vehicle on the driving path according to the initial cruising range and the current position;

[0037] S202: Acquire charging stations included in the target driving route, and determine a target charging station from the charging stations included in the target driving route.

[0038] Specifically, the above-mentioned driving path is the path that the vehicle will travel. The distance that the vehicle can travel on the driving path can be determined based on the current position and the initial cruising range, and the distance that the vehicle can travel on the driving path is determined as the target driving distance; for example, taking the two ends of the driving path as A and C, the length of the driving path is the distance from A to C, the current position of the vehicle is point B, and point B is between A and C. Starting from point B, after the initial cruising range, it reaches location D, and location D is between A and C on the driving path. At this time, it indicates that it is impossible to travel to point C based on the initial cruising range, so the path from point B to point D is used as the target driving distance; if starting from point B, it can reach location C after the initial cruising range, then the path from point B to point C is directly used as the target driving distance.

[0039] In some examples, after determining the target driving distance, the charging stations included in the target driving distance are determined. The charging stations included in the target driving distance include, but are not limited to: charging stations in the target driving distance and charging stations around the target driving distance.

[0040] Continuing with the above example, after obtaining the charging stations included in the target driving route, the target charging station is determined from the included charging stations, so that the target charging station is the charging station close to the target driving route, avoiding random selection of charging stations as target charging stations, resulting in a different route from the driving route, and requiring users to drive there specifically, resulting in a waste of time and resources.

[0041] According to the technical solution provided in the embodiment of the present application, the target driving distance of the vehicle on the driving path is determined according to the initial cruising range and the current position; the charging stations included in the target driving distance are obtained, and the target charging station is determined from the charging stations included in the target driving distance, so that the target charging station is a charging station close to the target driving path, thereby avoiding the problem of randomly selecting a charging station as the target charging station, which leads to a different road from the driving path and requires the user to drive there specifically, resulting in a waste of time and resources.

[0042] In some embodiments, Figure 3 As shown, determining a target charging station from charging stations included in the target driving route includes:

[0043] S301, determining the matching degree of each charging station, and sorting each charging station according to the matching degree to obtain a charging station sorting result;

[0044] S302: Determine a target charging station according to the charging station ranking result.

[0045] Specifically, after obtaining the charging stations included in the target driving route, the matching degree of each charging station is determined, and the matching degree is used to characterize the degree of adaptability between the charging station and the vehicle. The higher the matching degree of the charging station, the higher the degree of adaptability between the charging station and the vehicle. Conversely, the lower the matching degree of the charging station, the lower the degree of adaptability between the charging station and the vehicle.

[0046] Continuing with the above example, after determining the matching degree of the charging stations, the charging stations are sorted based on their matching degrees to obtain a charging station sorting result, and then the charging station with the highest matching degree is determined based on the charging station sorting result, and the charging station with the highest matching degree is used as the target charging station.

[0047] It can be understood that in some examples, determining the target charging station from the charging stations included in the target driving route also includes: displaying the charging stations included in the target driving route through an interactive interface, and then receiving a determination instruction issued by the user, and determining the target charging station based on the determination instruction.

[0048] In some examples, determining the target charging station from the charging stations included in the target driving route also includes: determining the number of charging stations included in the target driving route. If the target driving route only includes one charging station, the charging station included in the target driving route is directly used as the target charging station, thereby avoiding the problem of resource waste caused by obtaining the matching degree of the charging station when the target driving route only includes one charging station.

[0049] It can be understood that this embodiment is not limited to determining the target charging station only by the above method, and how to determine the target charging station can be flexibly set by relevant personnel.

[0050] According to the technical solution provided in the embodiment of the present application, the matching degree of each charging station is determined, and each charging station is sorted according to the matching degree to obtain the charging station sorting result; according to the charging station sorting result, the target charging station is determined, and the matching pairs of charging stations included in the target driving route are automatically calculated, and the charging stations are automatically sorted based on the matching degree, thereby realizing automatic determination of the target charging station according to the charging station sorting result, so that the target charging station is a charging station close to the target driving route, avoiding the problem of randomly selecting a charging station as the target charging station, resulting in a different road from the driving route, and requiring the user to drive there specifically, resulting in a waste of time and resources. In addition, the problem of cumbersome operation caused by the user determining the target charging station is avoided.

[0051] In some embodiments, Figure 4 As shown, the matching degree of each charging station is determined, including:

[0052] S401, determining the charging efficiency score, distance matching score, and waiting time score of each charging station;

[0053] S402: Perform weighted sum processing on the charging efficiency score, the distance matching score, and the waiting time score to obtain the matching degree corresponding to each charging station.

[0054] Specifically, the charging efficiency score corresponding to each charging station is determined according to the charging equipment of each charging station. For example, the charging equipment is divided into fast charging equipment and slow charging equipment. Then, if the charging equipment contained in the charging station is all slow charging equipment, the charging efficiency score corresponding to the charging station is recorded as three points; if the charging station is all slow charging equipment, the charging efficiency score corresponding to the charging station is recorded as one point; if the charging station contains both slow charging equipment and fast charging equipment, the charging efficiency score of the charging station is recorded as two points. It can be understood that how to determine the charging efficiency score corresponding to the charging station can be flexibly set by relevant personnel according to actual needs.

[0055] In some examples, the distance matching score of each charging station is determined based on the location of each charging station. Specifically, if the charging station is a charging station in the target driving distance, the distance matching score corresponding to the charging station is recorded as three points; if the charging station is a charging station around the target driving distance, the driving distance of the vehicle to the charging station is obtained. If the driving distance is less than the target driving distance, the distance matching score corresponding to the charging station is recorded as two points; if the driving distance is not less than the target driving distance, the distance matching score corresponding to the charging station is recorded as one point. It can be understood that how to determine the distance matching score corresponding to the charging station can be flexibly set by relevant personnel according to actual needs.

[0056] In some examples, determining the waiting time score for each charging station includes: predicting the waiting time required for the vehicle to wait in line after arriving at the charging station. If the waiting time required is lower than the first target waiting time, the waiting time score for the charging station is recorded as three points; if the waiting time required is between the first target waiting time and the second target waiting time (the second target waiting time is higher than the first target waiting time), the waiting time score for the charging station is recorded as two points; if the waiting time required is higher than the second target waiting time, the waiting time score for the charging station is recorded as one point. It can be understood that how to determine the waiting time score corresponding to the charging station can be flexibly set by relevant personnel according to actual needs.

[0057] In some examples, when determining the charging efficiency score, distance matching score, and waiting time score of each charging station, the weights of the charging efficiency score, distance matching score, and waiting time score are respectively determined, and the above charging efficiency score, distance matching score, and waiting time score are weighted and summed based on the determined weights to obtain the matching degree corresponding to each charging station; for example, assuming that the charging efficiency score of the charging station is X, the distance matching score is Y, and the waiting time score is Z, the weight corresponding to the charging efficiency score is A, the weight corresponding to the distance matching score is B, and the weight corresponding to the waiting time score is C, then the matching degree corresponding to the charging station = X*A+Y*B+Z*C.

[0058] It is understandable that in some examples, the charging cost score of the charging station can also be obtained, and the charging efficiency score, distance matching score, waiting time score and charging cost score are weighted and summed to obtain the matching degree corresponding to each charging station.

[0059] According to the technical solution provided in the embodiment of the present application, by determining the charging efficiency score, distance matching score and waiting time score of each charging station; performing weighted sum processing on the charging efficiency score, distance matching score and waiting time score, the matching degree corresponding to each charging station is obtained, and the matching degree of the charging station is comprehensively determined based on the charging efficiency, distance matching and waiting time, that is, the diversified determination of the matching degree in charging is realized, the accuracy of the matching degree is improved, and the problem of inaccurate matching degree caused by determining the matching degree of the charging station by only one element is avoided.

[0060] In some examples, the historical charging data includes: historical charging records and historical charging efficiency, such as Figure 5 As shown, based on the historical charging data of the vehicle at the target charging station and the current state of the target charging station, the charging prediction of the vehicle is performed to obtain the predicted charging power, including:

[0061] S501, determining a predicted charging time of the vehicle at a target charging station according to historical charging records and waiting time;

[0062] S502: Perform charging prediction on the vehicle according to the predicted charging time and the charging efficiency corresponding to the vehicle to obtain the predicted charging power.

[0063] Specifically, the historical charging record is used to characterize the charging pattern of the vehicle at the target charging station. The historical charging record includes the correspondence between the historical charging time and the historical charging duration. For example, the correspondence between the historical charging time and the historical charging duration is as follows: the average charging time is five hours starting at 8 am, the average charging time is two hours starting at 12 noon, and the average charging time is three hours starting at 2 pm. Determining the predicted charging duration of the vehicle at the target charging station includes: predicting the arrival time of the vehicle at the target charging station, and determining the predicted charging duration of the vehicle at the target charging station based on the correspondence between the historical charging time and the historical charging duration and the predicted arrival time.

[0064] Continuing with the above example, the predicted arrival time is eight o'clock in the morning. According to the correspondence between the historical charging time and the historical charging duration, it is determined that the average charging duration starting at eight o'clock in the morning is five hours, so the predicted charging duration is determined to be five hours.

[0065] In some examples, the charging prediction of the vehicle is performed based on the predicted charging time and the charging efficiency corresponding to the vehicle. Specifically, the charging efficiency corresponding to the above vehicle is determined by the battery attenuation degree of the vehicle, the charging equipment of the target charging station, and the charging power of the vehicle. After determining the charging efficiency of the vehicle, the charging efficiency and the predicted efficiency are multiplied, so as to realize the charging prediction of the vehicle based on the predicted charging time and the charging efficiency, and obtain the predicted charging power. Specifically, the calculation formula is as follows:

[0066] S = X * Y;

[0067] Among them, S is the predicted charging power, X is the pre-stored charging time, and Y is the charging efficiency.

[0068] According to the technical solution provided in the embodiment of the present application, the predicted charging time of the vehicle at the target charging station is determined based on the historical charging records; the charging of the vehicle is predicted based on the predicted charging time and the charging efficiency corresponding to the vehicle to obtain the predicted charging power, and the predicted charging power is accurately determined based on the predicted charging time and the charging efficiency, thereby solving the problem in the related art that the predicted charging power of the vehicle at the target charging station cannot be obtained.

[0069] In some examples, such as Figure 6 As shown, the predicted range of the vehicle is determined based on the predicted charging power and the real-time remaining power, including:

[0070] S601, determining the charging range of the vehicle according to the predicted charging power;

[0071] S602: Sum the charging range and the initial range corresponding to the real-time remaining power to obtain a predicted range of the vehicle.

[0072] Specifically, the predicted charging power of the vehicle is obtained, and the charging range is determined based on the predicted charging power and the real-time unit mileage energy consumption. Specifically, the quotient of the predicted charging power and the real-time unit mileage energy consumption is used as the charging range, and the calculation formula is as follows:

[0073] L2=Q / M;

[0074] Among them, L2 is the charging range, Q is the charging range, and M is the real-time unit mileage energy consumption. The charging range is determined by the vehicle's predicted charging power and real-time unit mileage energy consumption, and the charging range is determined based on the vehicle's real-time usage. The charging range is correlated with the real-time unit mileage energy consumption, which improves the accuracy of the charging range.

[0075] In some examples, after the charging range is determined, the predicted range of the vehicle is determined according to the charging range and the initial range. Specifically, the charging range and the initial range corresponding to the real-time remaining power are summed to obtain the predicted range of the vehicle. The calculation formula is as follows:

[0076] L3=L+L2;

[0077] Among them, L3 is the predicted cruising range, L2 is the charging range, and L is the initial cruising range corresponding to the real-time remaining power.

[0078] According to the technical solution provided in the embodiment of the present application, the charging range of the vehicle is determined based on the predicted charging power; the charging range and the initial range corresponding to the real-time remaining power are summed to obtain the predicted range of the vehicle.

[0079] In some examples, such as Figure 7 As shown, after determining the predicted cruising range of the vehicle according to the predicted charging power and the real-time remaining power, the method further includes:

[0080] S701, dividing the predicted cruising range into an initial cruising range and a charging cruising range;

[0081] S702: Display the predicted cruising range after the division through the vehicle-machine interaction device.

[0082] Specifically, after determining the predicted cruising range, in order for users to more intuitively obtain the initial cruising range and charging range of the predicted cruising range, it is necessary to divide the initial cruising range and charging range within the predicted cruising range. Specifically, by respectively determining the display method of the initial cruising range and the charging cruising range, the initial cruising range and the charging cruising range are divided within the predicted cruising range. It can be understood that the display method of the initial cruising range and the charging cruising range is different. For example, the predicted cruising range is taken as a cylinder, and the above cylinder is divided into the initial cruising range and the charging cruising range, wherein the initial cruising range and the charging cruising range are displayed in different colors within the cylinder, thereby achieving the division of the initial cruising range and the charging cruising range within the predicted cruising range.

[0083] In some examples, after the initial cruising range and the charging cruising range are divided, the predicted cruising range after the division is displayed through the vehicle's vehicle-machine interaction device, so that the user can intuitively understand the initial cruising range and the charging cruising range.

[0084] According to the technical solution provided in the embodiment of the present application, the initial cruising range and the charging cruising range are divided within the predicted cruising range; the predicted cruising range after the division is displayed through the vehicle-machine interaction device of the vehicle, so that the user can intuitively understand the initial cruising range and the charging cruising range, avoiding the problem that the user cannot determine the initial cruising range and the charging cruising range.

[0085] All the above optional technical solutions can be arbitrarily combined to form optional embodiments of the present application, which will not be described one by one here.

[0086] The following is an embodiment of the device of the present application, which can be used to execute the embodiment of the method of the present application. For details not disclosed in the embodiment of the device of the present application, please refer to the embodiment of the method of the present application.

[0087] This embodiment also provides a mileage prediction device, such as Figure 8 As shown, the device comprises:

[0088] Acquisition module 801, the user acquires the real-time remaining power of the vehicle, and determines the initial cruising range of the vehicle according to the real-time remaining power;

[0089] The determination module 802 is used to determine the current position of the vehicle and the driving path of the vehicle, and determine the target charging station according to the current position, driving path and initial cruising range of the vehicle;

[0090] The prediction module 803 is used to predict the charging of the vehicle based on the historical charging data of the vehicle at the target charging station and the current state of the target charging station to obtain the predicted charging power;

[0091] The prediction module 803 is also used to determine the predicted cruising range of the vehicle based on the predicted charging power and the real-time remaining power.

[0092] In some examples, the determination module 802 is also used to determine a target driving distance of the vehicle on the driving path based on the initial cruising range and the current position; obtain the charging stations included in the target driving distance, and determine the target charging station from the charging stations included in the target driving distance.

[0093] In some examples, the determination module 802 is further used to determine the matching degree of each charging station, and sort each charging station according to the matching degree to obtain a charging station sorting result; and determine the target charging station according to the charging station sorting result.

[0094] In some examples, the determination module 802 is also used to determine the charging efficiency score, distance matching score and waiting time score of each charging station; and perform weighted sum processing on the charging efficiency score, distance matching score and waiting time score to obtain the matching degree corresponding to each charging station.

[0095] In some examples, the prediction module 803 is also used to determine the predicted charging time of the vehicle at the target charging station based on historical charging records; based on the predicted charging time and the corresponding charging efficiency of the vehicle, the vehicle is charged and predicted to obtain the predicted charging power.

[0096] In some examples, the prediction module 803 is also used to determine the charging range of the vehicle based on the predicted charging power; the charging range and the initial range corresponding to the real-time remaining power are summed to obtain the predicted range of the vehicle.

[0097] In some examples, the prediction module 803 is also used to divide the predicted cruising range into an initial cruising range and a charging cruising range; and display the predicted cruising range through the vehicle-machine interaction device of the vehicle.

[0098] According to the technical solution provided in the embodiment of the present application, the above-mentioned device in the embodiment of the present application obtains the real-time remaining power of the vehicle, and determines the initial cruising range of the vehicle based on the real-time remaining power; determines the current position of the vehicle and the driving path of the vehicle, and determines the target charging station based on the current position, driving path and initial cruising range of the vehicle; realizes flexible determination of the target charging station based on the driving path, current position and initial cruising range of the vehicle, and predicts the charging of the vehicle based on the historical charging data of the vehicle at the target charging station and the current status of the target charging station to obtain the predicted charging power; determines the predicted cruising range of the vehicle based on the predicted charging power and the real-time remaining power, and realizes the prediction of the cruising range of the vehicle after charging, avoiding the problem in the related art that the vehicle can only obtain the remaining driving mileage corresponding to the real-time remaining power, and cannot make mileage prediction in combination with the driving path.

[0099] Fig. 9 Schematic diagram of an electronic device 9 provided in an embodiment of the present application. Fig. 9 As shown, the electronic device 9 of this embodiment includes: a processor 901, a memory 902, and a computer program 903 stored in the memory 902 and executable on the processor 901. When the processor 901 executes the computer program 903, the steps in the above-mentioned method embodiments are implemented. Alternatively, when the processor 901 executes the computer program 903, the functions of the modules / units in the above-mentioned device embodiments are implemented.

[0100] The electronic device 9 may be a desktop computer, a notebook, a PDA, a cloud server, or other electronic device. The electronic device 9 may include, but is not limited to, a processor 901 and a memory 902. Those skilled in the art will appreciate that Fig. 9 The electronic device 9 is merely an example and does not limit the electronic device 9 , and may include more or less components than those shown in the figure, or different components.

[0101] The processor 901 may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc.

[0102] The memory 902 may be an internal storage unit of the electronic device 9, for example, a hard disk or memory of the electronic device 9. The memory 902 may also be an external storage device of the electronic device 9, for example, a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, etc. equipped on the electronic device 9. The memory 902 may also include both an internal storage unit of the electronic device 9 and an external storage device. The memory 902 is used to store computer programs and other programs and data required by the electronic device.

[0103] Those skilled in the art can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional units and modules is used as an example. In actual applications, the above-mentioned functions can be distributed and completed by different functional units and modules as needed, that is, the internal structure of the device is divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiments can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of software functional units.

[0104] If the integrated module / unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a readable storage medium. Based on this understanding, the present application implements all or part of the processes in the above-mentioned embodiment method, and can also be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a readable storage medium, and the computer program can implement the steps of the above-mentioned various method embodiments when executed by the processor. The computer program may include computer program code, and the computer program code may be in source code form, object code form, executable file or some intermediate form. The computer readable medium may include: any entity or device capable of carrying computer program code, recording medium, U disk, mobile hard disk, disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electric carrier signal, telecommunication signal and software distribution medium. It should be noted that the content contained in the computer readable medium can be appropriately increased or decreased according to the requirements of regional requirements and patent practice. For example, in some areas, according to regional requirements and patent practice, the computer readable medium does not include electric carrier signals and telecommunication signals.

[0105] The above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. These modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application, and should all be included in the protection scope of the present application.

Claims

1. A mileage prediction method, characterized in that: The method comprises: Obtaining the real-time remaining power of the vehicle, and determining the initial cruising range of the vehicle according to the real-time remaining power; Determining a current position of the vehicle and a driving path of the vehicle, and determining a target charging station according to the current position of the vehicle, the driving path, and the initial cruising range; Determining a predicted charging time of the vehicle at the target charging station based on the historical charging record and waiting time of the vehicle at the target charging station; According to the predicted charging time and the charging efficiency corresponding to the vehicle, a charging prediction is performed on the vehicle to obtain a predicted charging power, wherein the charging efficiency corresponding to the vehicle is jointly determined by the battery attenuation degree of the vehicle, the charging equipment of the target charging station, and the charging power of the vehicle; The predicted cruising range of the vehicle is determined based on the predicted charging power and the real-time remaining power.

2. The method according to claim 1, characterized in that Determining a target charging station according to the current position of the vehicle, the driving path, and the initial cruising range includes: Determining a target driving distance of the vehicle on the driving path according to the initial cruising range and the current position; The charging stations included in the target driving distance are acquired, and the target charging station is determined from the charging stations included in the target driving distance.

3. The method according to claim 2, characterized in that Determining the target charging station from the charging stations included in the target driving distance includes: Determining a matching degree of each of the charging stations, and sorting each of the charging stations according to the matching degree to obtain a charging station sorting result; The target charging station is determined according to the charging station ranking result.

4. The method according to claim 3, characterized in that Determining the matching degree of each of the charging stations, including: Determine the charging efficiency score, distance matching score, and waiting time score of each of the charging stations; The charging efficiency score, the distance matching score and the waiting time score are weightedly summed to obtain the matching degree corresponding to each charging station.

5. The method according to claim 1, characterized in that: Determining the predicted cruising range of the vehicle according to the predicted charging power and the real-time remaining power includes: Determining the charging range of the vehicle according to the predicted charging power; The charging cruising range and the initial cruising range corresponding to the real-time remaining power are summed to obtain the predicted cruising range of the vehicle.

6. The method according to claim 5, characterized in that After determining the predicted cruising range of the vehicle according to the predicted charging power and the real-time remaining power, the method further includes: Dividing the predicted cruising range into the initial cruising range and the charging cruising range; The predicted cruising range after the division is displayed through the vehicle-computer interaction device of the vehicle.

7. A mileage prediction device, characterized in that: The device comprises: An acquisition module, in which a user acquires the real-time remaining power of a vehicle and determines the initial cruising range of the vehicle according to the real-time remaining power; a determination module, configured to determine the current position of the vehicle and the driving path of the vehicle, and determine a target charging station according to the current position of the vehicle, the driving path and the initial cruising range; A prediction module is used to determine the predicted charging time of the vehicle at the target charging station according to the historical charging record and waiting time of the vehicle at the target charging station; and to perform charging prediction on the vehicle according to the predicted charging time and the charging efficiency corresponding to the vehicle to obtain the predicted charging power, wherein the charging efficiency corresponding to the vehicle is jointly determined by the battery attenuation degree of the vehicle, the charging equipment of the target charging station and the charging power of the vehicle; The prediction module is also used to determine the predicted cruising range of the vehicle based on the predicted charging power and the real-time remaining power.

8. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 6 are implemented.

9. A readable storage medium storing a computer program, 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 6 are implemented.

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