Method, device and equipment for locking electric energy alternative position of electric vehicle and medium

Abstract

The invention relates to an electric automobile electric energy alternative position locking method, device and equipment and a medium, and is applied to the technical field of automobile charging management.The method comprises the steps that automobile electric energy information, current driving information and charging pile information are obtained; determining a travel type based on the current driving information; determining alternative charging pile information based on the travel type, the automobile electric energy information, the current driving information and the charging pile information; analyzing the alternative charging pile information to obtain the recommendation degree of each alternative charging pile; determining electric energy alternative positions based on the alternative charging pile information and the recommendation degree, wherein the electric energy alternative positions comprise a first electric energy alternative position and a second electric energy alternative position; and if the number of the first electric energy alternative positions is greater than 1, determining the sequence of the electric energy alternative positions based on the current driving information. The application has the effect of improving the reliability of the electric energy alternative position.

Description

Technical Field

[0001] This application relates to the technical field of electric vehicle charging management, and in particular, to a method, device, equipment and medium for locking alternative positions of electric energy for electric vehicles. Background Art

[0002] Electric vehicles are an important part of the development of modern urban transportation. During the travel of electric vehicles, when the remaining battery power cannot meet the travel demand, the electric vehicle needs to be charged. At this time, it is necessary to select the charging pile at the optimal location for the traveler among numerous charging piles. With the continuous increase in the number of electric vehicles, how to provide reliable charging services for users efficiently and conveniently has become the focus of research.

[0003] The current method for selecting a charging pile usually is to select the charging pile closest to the current position when the remaining power of the electric vehicle is lower than a certain set value. This method has certain limitations. For example, it does not take into account the current driving situation of the driver, and temporary charging may delay the driver's itinerary. Also, for example, it does not consider the power supply situation of the closest charging pile, and the closest charging pile may not be able to supply power to the electric vehicle in time, that is, the reliability of the locked alternative position of electric energy (charging pile position) is relatively low. Summary of the Invention

[0004] In order to improve the reliability of the alternative position of electric energy, this application provides a method, device, equipment and medium for locking the alternative position of electric energy for electric vehicles.

[0005] In the first aspect, this application provides a method for locking an alternative position of electric energy for an electric vehicle, adopting the following technical solution: A method for locking an alternative position of electric energy for an electric vehicle includes: Obtain the electric energy information of the vehicle, the current driving information, and the charging pile information; Determine the travel type based on the current driving information; Determine the alternative charging pile information based on the travel type, the electric energy information of the vehicle, the current driving information, and the charging pile information; Analyze the alternative charging pile information to obtain the recommendation degree of each alternative charging pile; Determine the alternative position of electric energy based on the alternative charging pile information and the recommendation degree. The alternative position of electric energy includes a first alternative position of electric energy and a second alternative position of electric energy. The second alternative position of electric energy is a candidate charging position corresponding to the first alternative position of electric energy, and the number of the first alternative positions of electric energy is greater than or equal to 1; If the number of the first alternative positions of electric energy is greater than 1, determine the order of the alternative positions of electric energy based on the current driving information.

[0006] By adopting the above technical solution, the travel type is determined according to the current driving information. When determining the alternative charging pile information, not only the vehicle power information, the current driving information, and the charging pile information are considered, but also the travel type is taken into account, which improves the reliability of the alternative charging pile information. The recommended degree of the alternative charging pile is calculated to determine the power alternative position, and there are a first power alternative position and a second power alternative position, which improves the reliability of the power alternative position. When there are multiple first power alternative positions, that is, when the vehicle needs to be charged multiple times, charging can be carried out in sequence according to the order of the power alternative positions, further improving the reliability of the power alternative position.

[0007] Optionally, the determining the travel type based on the current driving information includes: Obtain historical driving information; Analyze the historical driving information to obtain daily commuting information and power consumption information. The daily commuting information includes the daily driving starting point and the daily driving ending point, and the power consumption information includes the corresponding relationship between the driving distance, traffic conditions, weather conditions, and the consumed power; If the current driving information is consistent with the daily commuting information, the travel type is daily commuting; Calculate the driving distance based on the current driving information; Determine a first distance threshold based on the corresponding relationship and a preset consumed power; If the driving distance is less than or equal to the first distance threshold and the travel type is not daily commuting, the travel type is short-distance travel; If the driving distance is greater than the first distance threshold and the travel type is not daily commuting, the travel type is long-distance travel.

[0008] By adopting the above technical solution, by analyzing the historical driving information, daily commuting information and power consumption information are obtained. By comparing the current driving information with the daily commuting information, it can be judged whether the travel type is daily commuting. Different first distance thresholds are set for different vehicles according to the power consumption information instead of using a fixed first distance threshold, which improves the reliability of the first distance threshold. Determining the travel type according to the first distance threshold improves the reliability of the travel type.

[0009] Optionally, the determining the alternative charging pile information based on the travel type, the vehicle power information, the current driving information, and the charging pile information includes: Obtain the current environmental conditions based on the current driving information. The current environmental conditions include the current traffic conditions and the current weather conditions; If the travel type is the daily commute, determine the remaining electric energy of the vehicle when reaching the end point of the daily drive based on the vehicle electric energy information, the current environmental conditions, the corresponding relationship, and the current driving information; determine a second distance threshold based on the remaining electric energy of the vehicle, a preset electric energy threshold, and the corresponding relationship; determine an alternative charging area based on the end point of the daily drive and the second distance threshold; If the travel type is the short trip, determine the available driving distance based on the current environmental conditions, the corresponding relationship, and the vehicle electric energy information; determine the alternative charging area based on the available driving distance and the current driving information; determine the charging pile information within the alternative charging area as the alternative charging pile information.

[0010] By adopting the above technical solution, for different travel types, the alternative charging area is determined in different ways, thereby determining the alternative charging pile information, which improves the reliability of the alternative charging pile information.

[0011] Optionally, the determining of the alternative charging pile information based on the travel type, the vehicle electric energy information, the current driving information, and the charging pile information includes: If the travel type is the long trip, calculate the remaining electric energy of the vehicle when reaching each passing position based on the current environmental conditions, the corresponding relationship, the current driving information, and the vehicle electric energy information; Determine a third distance threshold for each passing position based on the remaining electric energy of the vehicle, the preset electric energy threshold, and the corresponding relationship; Determine the alternative charging area based on the passing position and the third distance threshold; Determine the charging pile information corresponding to the alternative charging area as the alternative charging pile information; Analyze the alternative charging pile information to determine the electric energy supply; Calculate the new remaining electric energy of the vehicle based on the electric energy supply and the remaining electric energy of the vehicle; Loop and execute the step of calculating the remaining electric energy of the vehicle when reaching each passing position based on the new remaining electric energy of the vehicle, the current environmental conditions, the corresponding relationship, and the current driving information until the new remaining electric energy of the vehicle can enable the vehicle to reach the driving end point.

[0012] By adopting the above technical solution, when the travel type is long-distance travel, the third distance threshold is determined according to the remaining electric energy of the vehicle at each passing location and the preset electric energy threshold, and the alternative charging areas are determined according to the third distance threshold, so as to determine the alternative charging pile information. And according to the electric energy supply amount of the alternative charging piles and the remaining electric energy of the vehicle, the next alternative charging area is continuously determined, so that the vehicle can find a more reliable charging pile in a more timely manner during long-distance travel.

[0013] Optionally, the analyzing the alternative charging pile information to obtain the recommendation degree of each alternative charging pile includes: Estimating the estimated arrival time of the vehicle at each of the alternative charging piles based on the current driving information and the current environmental conditions; Determining the current queuing information of the alternative charging piles based on the alternative charging pile information; Calculating the estimated waiting duration based on the current queuing information and the estimated arrival time; Determining the first recommendation parameter based on the estimated waiting duration; Determining the power supply information based on the alternative charging pile information, where the power supply information includes the available power and the charging power; Determining the second recommendation parameter based on the available power and the charging power; Calculating the remaining electric energy of the vehicle when arriving at each of the alternative charging piles based on the current environmental conditions, the corresponding relationship, the current driving information and the vehicle electric energy information; Determining the third recommendation parameter based on the remaining electric energy of the vehicle; Calculating the charging recommendation degree based on the first recommendation parameter, the second recommendation parameter, the third recommendation parameter and the preset weight; Determining the fourth recommendation parameter based on the location of the alternative charging pile and the charging recommendation degree; Calculating the recommendation degree of each alternative charging pile based on the charging recommendation degree, the fourth recommendation parameter and the preset weight.

[0014] By adopting the above technical solution, when determining the recommendation degree of the alternative charging piles, the estimated waiting duration, the available power, the charging power, the location of the alternative charging piles and the remaining electric energy of the vehicle when arriving at the alternative charging piles are fully considered, which improves the reliability of the recommendation degree.

[0015] Optionally, the determining the fourth recommendation parameter based on the location of the alternative charging pile and the charging recommendation degree includes: Calculating the detour distance to each of the alternative charging piles based on the location of the alternative charging pile and the current driving information; determining the first sub-recommendation parameter based on the detour distance; Calculate the first distance between every two of the alternative charging piles in each of the alternative charging areas; Based on the first distance and a third distance threshold, divide the alternative charging piles in each of the alternative charging areas to obtain a plurality of charging pile combinations. The number of alternative charging piles in each charging pile combination is greater than or equal to 1, and the first distance in each charging pile combination is less than the third distance threshold. Each alternative charging pile can exist in multiple charging pile combinations; Determine a second sub-recommendation parameter based on the charging recommendation degree in the charging pile combination corresponding to the alternative charging pile; Obtain the historical fault information of each alternative charging pile; Determine a third sub-recommendation parameter based on the historical fault information; Calculate the fourth recommendation parameter based on the first sub-recommendation parameter, the second sub-recommendation parameter, the third sub-recommendation parameter, and the preset weight.

[0016] By adopting the above technical solution, when determining the recommendation degree of alternative charging piles, the detour distance to the alternative charging piles, the charging recommendation degree of other alternative charging piles that are relatively close to the alternative charging piles, and the historical fault information of the alternative charging piles are also considered, further improving the reliability of the recommendation degree.

[0017] Optionally, the determining the alternative power positions based on the alternative charging pile information and the recommendation degree includes: sorting the alternative charging piles in each of the alternative charging areas based on the recommendation degree to obtain a first sorting result; determining the position of the alternative charging pile with the highest recommendation degree in each first sorting result as the first alternative power position; Determine a second alternative power position based on the first alternative power position, the charging pile combination, and the first sorting result; determine the alternative power position based on the first alternative power position and the second alternative power position.

[0018] By adopting the above technical solution, the first alternative power position is determined according to the high and low of the recommendation degree, and then the second alternative power position is determined according to the distance between the alternative charging pile and the first alternative power position, so that when the charging pile at the first alternative power position cannot complete charging, it can reach the second alternative power position as soon as possible.

[0019] In a second aspect, the present application provides an electric vehicle alternative power position locking device, adopting the following technical solution: An electric vehicle alternative power position locking device includes: An information acquisition module, configured to acquire vehicle power information, current driving information, and charging pile information; A type determination module for determining a travel type based on the current driving information; An alternative determination module for determining alternative charging pile information based on the travel type, the vehicle electric energy information, the current driving information, and the charging pile information; A recommendation determination module for analyzing the alternative charging pile information to obtain the recommendation degree of each alternative charging pile; A target determination module for determining electric energy alternative positions based on the alternative charging pile information and the recommendation degree, where the electric energy alternative positions include a first electric energy alternative position and a second electric energy alternative position, the second electric energy alternative position is a candidate charging position corresponding to the first electric energy alternative position, and the number of the first electric energy alternative positions is greater than or equal to 1; An order determination module for, if the number of the first electric energy alternative positions is greater than 1, determining the order of the electric energy alternative positions based on the current driving information.

[0020] By adopting the above technical solutions, the travel type is determined according to the current driving information. When determining the alternative charging pile information, not only the vehicle electric energy information, the current driving information, and the charging pile information are considered, but also the travel type is considered, which improves the reliability of the alternative charging pile information. The electric energy alternative positions are determined by calculating the recommendation degree of the alternative charging piles, and there are a first electric energy alternative position and a second electric energy alternative position, which improves the reliability of the electric energy alternative positions. When there are multiple first electric energy alternative positions, that is, when the vehicle needs to be charged multiple times, the charging can be carried out in sequence according to the order of the electric energy alternative positions, further improving the reliability of the electric energy alternative positions.

[0021] In a third aspect, the present application provides an electronic device, adopting the following technical solution: An electronic device includes a processor, and the processor is coupled to a memory; A computer program capable of being loaded and executed by the processor for the electric vehicle electric energy alternative position locking method according to any one of the first aspect is stored on the memory.

[0022] In a fourth aspect, the present application provides a computer-readable storage medium, adopting the following technical solution: A computer-readable storage medium stores a computer program capable of being loaded and executed by the processor for the electric vehicle electric energy alternative position locking method according to any one of the first aspect. Description of the Drawings

[0023] Figure 1 It is a flowchart of an electric vehicle electric energy alternative position locking method provided by an embodiment of the present application.

[0024] Figure 2It is a structural block diagram of an electric vehicle power alternative position locking device provided by an embodiment of the present application.

[0025] Figure 3 It is a structural block diagram of an electronic device provided by an embodiment of the present application. Detailed implementation manners

[0026] The following further describes the present application in detail with reference to the accompanying drawings.

[0027] An embodiment of the present application provides an electric vehicle power alternative position locking method. This electric vehicle power alternative position locking method can be executed by an electronic device, which can be a server or a terminal device. The server can be an independent physical server, a server cluster or a distributed system composed of multiple physical servers, or a cloud server providing cloud computing services. The terminal device can be a smart phone, a tablet computer, a desktop computer, etc., but is not limited thereto.

[0028] To make the objectives, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are some, but not all, of the embodiments of the present application. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present application without creative efforts shall fall within the protection scope of the present application.

[0029] In addition, the term "and / or" in this article is only a description of the association relationship of associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist simultaneously, and B exists alone. In addition, the character " / " in this article generally represents an "or" relationship between the associated objects before and after, unless otherwise specified.

[0030] As Figure 1 shown, an electric vehicle power alternative position locking method, the main process of this method is described as follows (Steps S101 - S106): Step S101, obtain vehicle power information, current driving information, and charging pile information.

[0031] Obtain vehicle power information from the on-vehicle detection device of the electric vehicle. The vehicle power information includes the current power (battery level) of the vehicle and the maximum storable power (battery level) of the vehicle. Obtain the current driving information from the on-vehicle navigation system or the driver. The current driving information includes the driving starting point, driving route, and driving end point. Obtain the charging pile information from the charging pile management staff. The charging pile information includes the charging pile number, the location of the charging pile, power supply information, and current queuing information.

[0032] Step S102: Determine the travel type based on the current driving information.

[0033] Among them, the travel types include daily commuting, short-distance travel, and long-distance travel.

[0034] Specifically, determining the travel type based on the current driving information includes: obtaining historical driving information; analyzing the historical driving information to obtain daily commuting information and power consumption information. The daily commuting information includes the daily driving starting point and the daily driving ending point, and the power consumption information includes the corresponding relationship between the driving distance, traffic conditions, weather conditions, and the consumed power. If the current driving information is consistent with the daily commuting information, the travel type is daily commuting; calculating the driving distance based on the current driving information; determining the first distance threshold based on the corresponding relationship and the preset power consumption; if the driving distance is less than or equal to the first distance threshold and the travel type is not daily commuting, the travel type is short-distance travel; if the driving distance is greater than the first distance threshold and the travel type is not daily commuting, the travel type is long-distance travel.

[0035] In this embodiment, the historical driving information is obtained from the driver or the electric vehicle driving record device, and the historical driving information is analyzed by a data analysis tool to obtain the daily commuting information and the power consumption information. Among them, the data analysis tool can be Excel, or Python, or SQL. If the current driving information is consistent with the daily commuting information, it means that the current travel demand is daily commuting, and the travel type is daily commuting. The driving distance is calculated through the navigation system for the driving starting point, driving route, and driving ending point. The current environmental conditions on the driving route are obtained according to the current driving information, that is, the current traffic conditions and the current weather conditions on the driving route are obtained. The corresponding relationship in the power consumption information is stored in the database. The first distance threshold is found from the corresponding relationship in the database according to the current traffic conditions, the current weather conditions, and the preset power consumption (pre-set, not specifically limited here). If the driving distance is less than or equal to the first distance threshold and the travel type is not daily commuting, the travel type is short-distance travel. If the driving distance is greater than the first distance threshold and the travel type is not daily commuting, the travel type is long-distance travel. It should be noted that long-distance travel may require charging multiple times.

[0036] Step S103: Determine the alternative charging pile information based on the travel type, vehicle electrical energy information, current driving information, and charging pile information.

[0037] Specifically, the alternative charging pile information is determined based on the travel type, vehicle power information, current driving information, and charging pile information, including: obtaining the current environmental conditions based on the current driving information, where the current environmental conditions include the current traffic conditions and the current weather conditions; if the travel type is daily commuting, determining the remaining vehicle power when reaching the end point of daily driving based on the vehicle power information, current environmental conditions, the corresponding relationship, and the current driving information; determining the second distance threshold based on the remaining vehicle power, the preset power threshold, and the corresponding relationship; determining the alternative charging area based on the end point of daily driving and the second distance threshold; if the travel type is short-distance travel, determining the available driving distance based on the current environmental conditions, the corresponding relationship, and the vehicle power information; determining the alternative charging area based on the available driving distance and the current driving information; and determining the charging pile information within the alternative charging area as the alternative charging pile information.

[0038] In this embodiment, the preset algorithm is trained according to the corresponding relationship between the driving distance, traffic conditions, weather conditions, and power consumption to obtain an electric energy prediction model. By inputting the current vehicle power, current environmental conditions, and current driving information into the electric energy prediction model, the remaining vehicle power when the electric vehicle reaches the driving end point in the current driving information can be obtained. Among them, the preset algorithm is a machine learning algorithm, and the machine learning algorithm is, for example, a neural network algorithm, a random forest algorithm, a support vector machine algorithm, etc., which are not specifically limited here.

[0039] The current environmental conditions on the driving route are obtained from the meteorological department and the traffic department according to the current driving information. If the travel type is daily commuting, the current vehicle power, current environmental conditions, and current driving information are input into the electric energy prediction model to obtain the remaining vehicle power when reaching the end point of daily driving. The available power = the remaining vehicle power - the preset power threshold (pre-set, not specifically limited here). By setting the preset power threshold, the situation where the vehicle runs out of power when reaching the charging location but the charging location cannot provide charging services, resulting in the vehicle being unable to go to a new charging location again, can be reduced. According to the current environmental conditions (current traffic conditions, current weather conditions) and the power consumption (i.e., the available power), the driving distance that the vehicle can travel when consuming the available power is found from the corresponding relationship, that is, the second distance threshold. The area with the end point of daily driving as the center and the second distance threshold as the radius is determined as the alternative charging area.

[0040] If the travel type is short-distance travel, the driving distance that the vehicle can travel when consuming the current vehicle power is found from the corresponding relationship according to the current environmental conditions (traffic conditions, weather conditions) and the power consumption (i.e., the current vehicle power). The current position of the vehicle is found from the current driving information. The area with the current position of the vehicle as the center and the driving distance as the radius is determined as the alternative charging area, and the charging pile information within the alternative charging area is determined as the alternative charging pile information.

[0041] Specifically, alternative charging pile information is determined based on the travel type, vehicle electric energy information, current driving information, and charging pile information, including: If the travel type is long-distance travel, the remaining vehicle electric energy when reaching each passing location is calculated based on the current environmental conditions, correspondence, current driving information, and vehicle electric energy information; the third distance threshold for each passing location is determined based on the remaining vehicle electric energy, preset electric energy threshold, and correspondence; alternative charging areas are determined based on the passing locations and the third distance threshold; the charging pile information corresponding to the alternative charging areas is determined as the alternative charging pile information; the alternative charging pile information is analyzed to determine the electric energy supply; the new remaining vehicle electric energy is calculated based on the electric energy supply and the remaining vehicle electric energy; the step of calculating the remaining vehicle electric energy when reaching each passing location based on the new remaining vehicle electric energy, current environmental conditions, correspondence, and current driving information is executed in a loop until the new remaining vehicle electric energy enables the vehicle to reach the driving destination.

[0042] In this embodiment, if the travel type is long-distance travel, the current vehicle electric energy, current environmental conditions, and current driving information are input into the electric energy prediction model to obtain the remaining vehicle electric energy when reaching each passing location. For a passing location, the available electric energy at this location = the remaining vehicle electric energy at this location - the preset electric energy threshold. If the remaining vehicle electric energy at a passing location is less than the preset remaining electric energy, this passing location is determined as a rechargeable passing location. The third distance threshold, that is, the distance that can be traveled when the vehicle consumes the available electric energy, is found from the correspondence according to the current environmental conditions and the power consumption (i.e., the available electric energy at the rechargeable passing location). The area with the rechargeable passing location as the center and the third distance threshold as the radius is determined as the alternative charging area for each rechargeable passing location. The alternative charging areas of all rechargeable passing locations are merged to obtain the alternative charging area of the charging pile. It should be noted that when the available electric energy at a passing location is less than or equal to 0, the third distance threshold is 0, that is, there is no alternative charging area for this passing location, that is, the alternative charging area is not infinite.

[0043] The charging pile information located within the alternative charging area is determined as the alternative charging pile information. The alternative charging pile information is analyzed through a preset electric energy supply model (pre-set, which can be a machine learning model, not specifically limited here) to obtain the electric energy supply of each alternative charging pile. The new remaining vehicle electric energy = min{electric energy supply + remaining vehicle electric energy, maximum vehicle-storable electric energy}.

[0044] Since the travel type is long-distance travel, that is, charging may be required multiple times during the driving process, it is necessary to determine multiple alternative charging areas. After determining the first alternative charging area according to the above method, the steps of calculating the remaining power of the vehicle when reaching each passing position based on the new remaining power of the vehicle, the current environmental conditions, the corresponding relationship, and the current driving information are repeatedly executed until the new remaining power of the vehicle can enable the vehicle to reach the driving destination.

[0045] Step S104: Analyze the alternative charging pile information to obtain the recommendation degree of each alternative charging pile.

[0046] Specifically, analyzing the alternative charging pile information to obtain the recommendation degree of each alternative charging pile includes: estimating the estimated arrival time of the vehicle at each alternative charging pile based on the current driving information and the current environmental conditions; determining the current queuing information of the alternative charging piles based on the alternative charging pile information; calculating the estimated waiting duration based on the current queuing information and the estimated arrival time; determining the first recommendation parameter based on the estimated waiting duration; determining the power supply information based on the alternative charging pile information, where the power supply information includes the available power and the charging power; determining the second recommendation parameter based on the available power and the charging power; calculating the remaining power of the vehicle when reaching the position of each alternative charging pile based on the current environmental conditions, the corresponding relationship, the current driving information, and the vehicle power information; determining the third recommendation parameter based on the remaining power of the vehicle; calculating the charging recommendation degree based on the first recommendation parameter, the second recommendation parameter, the third recommendation parameter, and the preset weight; determining the fourth recommendation parameter based on the position of the alternative charging pile and the charging recommendation degree; calculating the recommendation degree of each alternative charging pile based on the charging recommendation degree, the fourth recommendation parameter, and the preset weight.

[0047] In this embodiment, the preset algorithm (pre-set, which can be a machine learning algorithm, not specifically limited here) is trained through historical driving information to obtain an arrival time prediction model. The current driving information and the current environmental conditions are input into the arrival time prediction model to estimate the estimated arrival time of the vehicle at each alternative charging pile. The current queuing information of the alternative charging piles is found from the alternative charging pile information. The estimated waiting duration = the earliest charging end time in the current queuing information of each charging interface on the alternative charging pile - the estimated arrival time. The calculation formula for the first recommendation parameter is: Among them, f1(W) is the first recommendation parameter, W is the estimated waiting duration, kw represents the steepness of the curve, and W mid represents the waiting duration value at which the function changes more sensitively. Both kw and W mid are parameters preset according to the actual situation. For example, the two are 0.1 and 30 (minutes) in sequence.

[0048] Analyze the alternative charging pile information through a preset electric energy supply model (pre-set, which can be a machine learning model and is not specifically limited here) to obtain the available power and charging power of each alternative charging pile, that is, the power supply information. Determine the power recommendation parameter according to the available power. The calculation formula of the power recommendation parameter is: Among them, f21(E) is the power recommendation parameter, E is the available power, and k E represents the steepness of the curve and is a parameter preset according to the actual situation. For example, it can be 0.01.

[0049] Determine the power recommendation parameter according to the charging power. The calculation formula of the power recommendation parameter is: Among them, f22(P) is the power recommendation parameter, P is the charging power, Pmax is a reference value representing a higher power, and is a parameter preset according to the actual situation. For example, it can be 100 (kilowatts).

[0050] The calculation formula of the second recommendation parameter is: f2(E, P) = f21(E) × a + f22(P) × b, where f2(E, P) is the second recommendation parameter, a is the preset power weight, b is the preset power weight, and both a and b are pre-set.

[0051] Input the current electric energy of the vehicle, the current environmental conditions, and the current driving information into the electric energy prediction model to obtain the remaining electric energy of the vehicle when arriving at each alternative charging pile. The calculation formula of the third recommendation parameter is: Among them, f3(M) is the third recommendation parameter, M is the remaining electric energy of the vehicle, kM represents the steepness of the curve, Mmid represents the remaining electric energy value where the function changes more sensitively, and both kM and Mmid are parameters preset according to the actual situation. For example, the two are 0.05 and 50 (degrees) in sequence.

[0052] In addition to calculating the first recommendation parameter, the second recommendation parameter, and the third recommendation parameter by the above methods, it is also possible to pre-store the first association between the estimated waiting time and the first recommendation parameter, the second association between the available power, the charging power and the second recommendation parameter, and the third association between the remaining electric energy of the vehicle and the third recommendation parameter in the database according to the actual situation. For example: different estimated waiting times in different numerical intervals correspond to different first recommendation parameters. Look up the first recommendation parameter from the database according to the estimated waiting time, look up the second recommendation parameter from the database according to the available power and the charging power, and look up the third recommendation parameter from the database according to the remaining electric energy of the vehicle.

[0053] Charging recommendation degree = First recommendation parameter × First preset weight + Second recommendation parameter × Second preset weight + Third recommendation parameter × Third preset weight. Determine the fourth recommendation parameter based on the location of the alternative charging piles and the charging recommendation degree. The recommendation degree of the alternative charging piles = Charging recommendation degree × Charging preset weight + Fourth recommendation parameter × Reliable preset weight.

[0054] More specifically, determining the fourth recommendation parameter based on the location of the alternative charging piles and the charging recommendation degree includes: calculating the detour distance to each alternative charging pile based on the location of the alternative charging piles and the current driving information; determining the first sub-recommendation parameter based on the detour distance; calculating the first distance between every two alternative charging piles in each alternative charging area; dividing the alternative charging piles in each alternative charging area based on the first distance and the third distance threshold to obtain multiple charging pile combinations, where the number of alternative charging piles in each charging pile combination is greater than or equal to 1, and the first distance in each charging pile combination is less than the third distance threshold, and each alternative charging pile can exist in multiple charging pile combinations; determining the second sub-recommendation parameter based on the charging recommendation degree in the charging pile combination corresponding to the alternative charging pile; obtaining the historical fault information of each alternative charging pile; determining the third sub-recommendation parameter based on the historical fault information; calculating the fourth recommendation parameter based on the first sub-recommendation parameter, the second sub-recommendation parameter, the third sub-recommendation parameter, and the preset weight.

[0055] In this embodiment, calculate the first driving distance to the driving end point according to the driving route in the current driving information through the navigation tool. Determine the location of the alternative charging pile as a waypoint through the navigation tool, and calculate the second driving distance to the driving end point again. The detour distance = Second driving distance - First driving distance. The formula for the first sub-recommendation parameter is: Where, f4(D) is the first sub-recommendation parameter, D is the detour distance, kD represents the steepness of the curve, Dmid represents the detour distance where the function changes more sensitively, and both kD and Dmid are parameters preset according to the actual situation. For example, the two are 0.5 and 5 (kilometers) in sequence.

[0056] Calculate the first distance between every two alternative charging piles within the same alternative charging area. Divide the alternative charging piles into multiple charging pile combinations according to the first distance and the third distance threshold (pre-set, not specifically limited here). The number of alternative charging piles in each charging pile combination is greater than or equal to 1, and all the first distances in each charging pile combination are less than the third distance threshold. Each alternative charging pile can exist in multiple charging pile combinations. If the number of alternative charging piles in a charging pile combination is 1, then there is no first distance for this charging pile combination. For an alternative charging pile A, determine the maximum charging recommendation degree among all the alternative charging piles other than A in all the charging pile combinations corresponding to A as the second sub-recommendation parameter. If there are no alternative charging piles other than A in the charging pile combination corresponding to A, then the second sub-recommendation parameter is 0.

[0057] Obtain the historical fault information of each alternative charging pile from the staff or the database; analyze the historical fault information through a data analysis tool to obtain the fault frequency. The calculation formula for the third sub-recommendation parameter is: where f5(F) is the third sub-recommendation parameter, D is the fault frequency, kF represents the steepness of the curve, Fmid represents the fault frequency at which the function changes more sensitively, and both kF and Fmid are parameters pre-set according to the actual situation. For example, they are 1 and 0.1 (times / unit time) in sequence.

[0058] In addition to calculating the first sub-recommendation parameter and the third sub-recommendation parameter by the above methods, it is also possible to pre-store the first sub-association between the detour distance and the first sub-recommendation parameter, and the second sub-association between the fault frequency and the third sub-recommendation parameter in the database according to the actual situation. Look up the first sub-recommendation parameter from the database according to the detour distance, and look up the third sub-recommendation parameter from the database according to the fault frequency.

[0059] Fourth recommendation parameter = First sub-recommendation parameter × First sub-preset weight + Second sub-recommendation parameter × Second sub-preset weight + Third sub-recommendation parameter × Third sub-preset weight.

[0060] Step S105: Determine the alternative power positions based on the alternative charging pile information and the recommendation degree.

[0061] The alternative power positions include the first alternative power position and the second alternative power position. The first alternative power position is the most recommended charging position, and the second alternative power position is the candidate charging position corresponding to the first alternative power position, that is, the alternative charging position when the first alternative power position cannot complete the charging task. Since long-distance travel may require charging multiple times, the number of the first alternative power positions is greater than or equal to 1.

[0062] Specifically, determining the alternative power positions based on the alternative charging pile information and the recommendation degree includes: sorting the alternative charging piles in each alternative charging area based on the recommendation degree to obtain a first sorting result; determining the positions of the alternative charging piles with the highest recommendation degree in each first sorting result as the first alternative power positions; determining the second alternative power positions based on the first alternative power positions, the charging pile combination, and the first sorting result; and determining the alternative power positions based on the first alternative power positions and the second alternative power positions.

[0063] In this embodiment, all the alternative charging piles in the same alternative charging area are sorted from high to low according to the recommendation degree to obtain a first sorting result, and the positions of the alternative charging piles with the highest recommendation degree in each first sorting result are determined as the first alternative power positions; the alternative charging piles in the same charging pile combination as the alternative charging piles at the first alternative power positions are determined as the selectable charging piles, the positions of the selectable charging piles with the highest recommendation degree in the first sorting result are determined as the second alternative power positions, and the first alternative power positions and the second alternative power positions are jointly determined as the alternative power positions.

[0064] Step S106: If the number of the first alternative power positions is greater than 1, determine the order of the alternative power positions based on the current driving information.

[0065] When the number of the first alternative power positions is greater than 1, it indicates that the electric vehicle needs to be charged multiple times. Sort the alternative power positions along the driving route to obtain the order of the alternative power positions, and the electric vehicle can be charged in sequence according to the alternative power positions. When the first alternative power positions cannot meet the charging requirements, charge through the corresponding second alternative power positions.

[0066] Figure 2 This is a structural block diagram of an electric vehicle alternative power position locking device 200 provided by an embodiment of the present application.

[0067] As Figure 2 shown, the electric vehicle alternative power position locking device 200 mainly includes: An information acquisition module 201, configured to acquire vehicle power information, current driving information, and charging pile information; A type determination module 202, configured to determine the travel type based on the current driving information; An alternative determination module 203, configured to determine alternative charging pile information based on the travel type, vehicle power information, current driving information, and charging pile information; A recommendation determination module 204, configured to analyze the alternative charging pile information to obtain the recommendation degree of each alternative charging pile; A target determination module 205, configured to determine alternative power positions based on alternative charging pile information and recommendation degrees. The alternative power positions include a first alternative power position and a second alternative power position. The second alternative power position is a candidate charging position corresponding to the first alternative power position, and the number of the first alternative power positions is greater than or equal to 1. A sequence determination module 206, configured to, if the number of the first alternative power positions is greater than 1, determine the sequence of the alternative power positions based on the current driving information.

[0068] As an alternative implementation manner of this embodiment, the type determination module 202 is further specifically configured to determine the travel type based on the current driving information, including: obtaining historical driving information; analyzing the historical driving information to obtain daily commuting information and power consumption information. The daily commuting information includes a daily driving start point and a daily driving end point, and the power consumption information includes the corresponding relationship between the driving distance, traffic conditions, weather conditions, and power consumption; if the current driving information is consistent with the daily commuting information, the travel type is daily commuting; calculating the driving distance based on the current driving information; determining a first distance threshold based on the corresponding relationship and a preset power consumption; if the driving distance is less than or equal to the first distance threshold and the travel type is not daily commuting, the travel type is short-distance travel; if the driving distance is greater than the first distance threshold and the travel type is not daily commuting, the travel type is long-distance travel.

[0069] As an alternative implementation manner of this embodiment, the alternative determination module 203 is further specifically configured to determine alternative charging pile information based on the travel type, vehicle power information, current driving information, and charging pile information, including: obtaining the current environmental conditions based on the current driving information, where the current environmental conditions include the current traffic conditions and the current weather conditions; if the travel type is daily commuting, determining the remaining vehicle power when reaching the daily driving end point based on the vehicle power information, the current environmental conditions, the corresponding relationship, and the current driving information; determining a second distance threshold based on the remaining vehicle power, a preset power threshold, and the corresponding relationship; determining an alternative charging area based on the daily driving end point and the second distance threshold; if the travel type is short-distance travel, determining the available driving distance based on the current environmental conditions, the corresponding relationship, and the vehicle power information; determining the alternative charging area based on the available driving distance and the current driving information; and determining the charging pile information in the alternative charging area as the alternative charging pile information.

[0070] As an alternative implementation of this embodiment, the alternative determination module 203 is further specifically configured to determine alternative charging pile information based on the travel type, vehicle power information, current driving information, and charging pile information, including: if the travel type is long-distance travel, calculating the remaining vehicle power when reaching each passing location based on the current environmental conditions, the corresponding relationship, the current driving information, and the vehicle power information; determining the third distance threshold for each passing location based on the remaining vehicle power, the preset power threshold, and the corresponding relationship; determining the alternative charging area based on the passing location and the third distance threshold; determining the charging pile information corresponding to the alternative charging area as the alternative charging pile information; analyzing the alternative charging pile information to determine the power supply amount; calculating the new remaining vehicle power based on the power supply amount and the remaining vehicle power of the vehicle; and repeatedly executing the step of calculating the remaining vehicle power when reaching each passing location based on the new remaining vehicle power, the current environmental conditions, the corresponding relationship, and the current driving information until the new remaining vehicle power enables the vehicle to reach the driving destination.

[0071] As an alternative implementation of this embodiment, the recommendation determination module 204 is further specifically configured to analyze the alternative charging pile information to obtain the recommendation degree of each alternative charging pile, including: estimating the estimated arrival time of the vehicle at each alternative charging pile based on the current driving information and the current environmental conditions; determining the current queuing information of the alternative charging piles based on the alternative charging pile information; calculating the estimated waiting duration based on the current queuing information and the estimated arrival time; determining the first recommendation parameter based on the estimated waiting duration; determining the power supply information based on the alternative charging pile information, where the power supply information includes the available power and the charging power; determining the second recommendation parameter based on the available power and the charging power; calculating the remaining vehicle power when reaching the location of each alternative charging pile based on the current environmental conditions, the corresponding relationship, the current driving information, and the vehicle power information; determining the third recommendation parameter based on the remaining vehicle power of the vehicle; calculating the charging recommendation degree based on the first recommendation parameter, the second recommendation parameter, the third recommendation parameter, and the preset weight; determining the fourth recommendation parameter based on the location of the alternative charging pile and the charging recommendation degree; and calculating the recommendation degree of each alternative charging pile based on the charging recommendation degree, the fourth recommendation parameter, and the preset weight.

[0072] As an alternative implementation of this embodiment, the recommendation determination module 204 is further specifically configured to determine a fourth recommendation parameter based on the location of the alternative charging piles and the charging recommendation degree, including: calculating the detour distance to each alternative charging pile based on the location of the alternative charging pile and the current driving information; determining a first sub-recommendation parameter based on the detour distance; calculating the first distance between every two alternative charging piles in each alternative charging area; dividing the alternative charging piles in each alternative charging area based on the first distance and a third distance threshold to obtain a plurality of charging pile combinations, where the number of alternative charging piles in each charging pile combination is greater than or equal to 1, and the first distance in each charging pile combination is less than the third distance threshold, and each alternative charging pile can exist in multiple charging pile combinations; determining a second sub-recommendation parameter based on the charging recommendation degree in the charging pile combination corresponding to the alternative charging pile; obtaining the historical fault information of each alternative charging pile; determining a third sub-recommendation parameter based on the historical fault information; calculating a fourth recommendation parameter based on the first sub-recommendation parameter, the second sub-recommendation parameter, the third sub-recommendation parameter, and a preset weight.

[0073] As an alternative implementation of this embodiment, the target determination module 205 is further specifically configured to determine the alternative power positions based on the alternative charging pile information and the recommendation degree, including: sorting the alternative charging piles in each alternative charging area based on the recommendation degree to obtain a first sorting result; determining the location of the alternative charging pile with the highest recommendation degree in each first sorting result as the first alternative power position; determining a second alternative power position based on the first alternative power position, the charging pile combination, and the first sorting result; determining the alternative power position based on the first alternative power position and the second alternative power position.

[0074] In one example, the modules in any of the above devices may be one or more integrated circuits configured to implement the above methods. For example: one or more application specific integrated circuits (ASICs), or, one or more digital signal processors (DSPs), or, one or more field programmable gate arrays (FPGAs), or a combination of at least two of these integrated circuit forms.

[0075] Again, when the modules in the device can be implemented in the form of a processing element scheduler, the processing element may be a general-purpose processor, such as a central processing unit (CPU) or other processors that can call programs. Again, these modules may be integrated together and implemented in the form of a system-on-a-chip (SOC).

[0076] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the above-described devices and modules can refer to the corresponding processes in the foregoing method embodiments, and will not be described herein again.

[0077] Figure 3 FIG. 5 is a structural block diagram of an electronic device 300 provided in an embodiment of the present application.

[0078] As Figure 3 shown, the electronic device 300 includes a processor 301 and a memory 302, and may further include one or more of an information input / output (I / O) interface 303, a communication component 304, and a communication bus 305.

[0079] Among them, the processor 301 is used to control the overall operation of the electronic device 300 to complete all or part of the steps of the above-mentioned electric vehicle electric energy alternative position locking method; the memory 302 is used to store various types of data to support the operation of the electronic device 300. These data may include, for example, instructions for any application or method operating on the electronic device 300, and application-related data. The memory 302 can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as Static Random Access Memory (SRAM), Electrically Erasable Programmable Read-Only Memory (EEPROM), Erasable Programmable Read-Only Memory (EPROM), Programmable Read-Only Memory (PROM), Read-Only Memory (ROM), magnetic memory, flash memory, a magnetic disk, or an optical disk.

[0080] The I / O interface 303 provides an interface between the processor 301 and other interface modules. The above other interface modules may be a keyboard, a mouse, buttons, etc. These buttons may be virtual buttons or physical buttons. The communication component 304 is used for wired or wireless communication between the electronic device 300 and other devices. Wireless communication, such as Wi-Fi, Bluetooth, Near Field Communication (NFC), 2G, 3G, or 4G, or a combination of one or more of them. Therefore, the corresponding communication component 304 may include: a Wi-Fi component, a Bluetooth component, an NFC component.

[0081] The electronic device 300 can be implemented by one or more application specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field programmable gate arrays (FPGAs), controllers, microcontrollers, microprocessors or other electronic components, and is used to execute the electric vehicle power alternative position locking method given in the above embodiments.

[0082] The communication bus 305 may include a path for transmitting information between the above components. The communication bus 305 can be a PCI (Peripheral Component Interconnect) bus or an EISA (Extended Industry Standard Architecture) bus, etc. The communication bus 305 can be divided into an address bus, a data bus, a control bus, etc.

[0083] The electronic device 300 may include, but is not limited to, mobile terminals such as mobile phones, laptop computers, digital broadcast receivers, PDAs (Personal Digital Assistants), PADs (tablet computers), PMPs (portable multimedia players), vehicle-mounted terminals (such as vehicle-mounted navigation terminals), etc., and fixed terminals such as digital TVs, desktop computers, etc., and may also be a server, etc.

[0084] This application also provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the steps of the above-mentioned electric vehicle power alternative position locking method are implemented.

[0085] The computer-readable storage medium may include: various media that can store program codes, such as USB flash drives, mobile hard disks, read-only memories (ROMs), random access memories (RAMs), magnetic disks or optical discs.

[0086] The term "comprising", "including" or any other variation thereof is intended to cover non-exclusive inclusion, such that a process, method, article or apparatus comprising a series of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article or apparatus.

[0087] The above description is only a preferred embodiment of the present application and an explanation of the technical principles applied. Those skilled in the art should understand that the scope of the application involved in the present application is not limited to the technical solutions formed by the specific combination of the above technical features, and should also cover other technical solutions formed by any combination of the above technical features or their equivalent features without departing from the foregoing application concept. For example, the technical solutions formed by the mutual replacement of the above features with the technical features (but not limited to) having similar functions applied in the present application.

Claims

1. A method for locking electric energy alternative positions of electric vehicles, characterized in that: include: Obtain vehicle power information, current driving information, and charging pile information; determining a travel type based on the current driving information; Determine candidate charging pile information based on the travel type, the vehicle power information, the current driving information, and the charging pile information; Analyze the candidate charging pile information to obtain the recommendation degree of each candidate charging pile; Determine an alternative power location based on the alternative charging pile information and the recommendation degree, the alternative power location includes a first alternative power location and a second alternative power location, the second alternative power location is a candidate charging location corresponding to the first alternative power location, and the number of the first alternative power locations is greater than or equal to 1; If the number of the first power alternative positions is greater than 1, the order of the power alternative positions is determined based on the current driving information.

2. The method according to claim 1, characterized in that: The determining the travel type based on the current driving information includes: Get historical driving information; Analyze the historical driving information to obtain daily commuting information and power consumption information, wherein the daily commuting information includes a daily driving starting point and a daily driving end point, and the power consumption information includes a corresponding relationship between driving distance, traffic conditions, weather conditions and power consumption; If the current driving information is consistent with the daily commuting information, the travel type is daily commuting; calculating a driving distance based on the current driving information; Determine a first distance threshold based on the corresponding relationship and a preset power consumption; If the driving distance is less than or equal to the first distance threshold, and the travel type is not the daily commuting, then the travel type is a short-distance trip; If the driving distance is greater than the first distance threshold and the travel type is not the daily commuting, then the travel type is a long-distance trip.

3. The method according to claim 2, characterized in that The determining of candidate charging pile information based on the travel type, the vehicle power information, the current driving information, and the charging pile information includes: Acquire current environmental conditions based on the current driving information, where the current environmental conditions include current traffic conditions and current weather conditions; If the travel type is the daily commuting, determining the remaining power of the vehicle when arriving at the daily driving destination based on the vehicle power information, the current environmental conditions, the corresponding relationship, and the current driving information; determining a second distance threshold based on the remaining power of the vehicle, a preset power threshold, and the corresponding relationship; determining an alternative charging area based on the daily driving destination and the second distance threshold; If the travel type is the short-distance travel, determining the drivable distance based on the current environmental conditions, the corresponding relationship and the vehicle power information; determining the candidate charging area based on the drivable distance and the current driving information; The charging pile information in the candidate charging area is determined as the candidate charging pile information.

4. The method according to claim 3, characterized in that The determining of candidate charging pile information based on the travel type, the vehicle power information, the current driving information, and the charging pile information includes: If the travel type is the long-distance travel, the remaining power of the vehicle to reach each route location is calculated based on the current environmental conditions, the corresponding relationship, the current driving information and the vehicle power information; Determine a third distance threshold for each of the route locations based on the remaining power of the vehicle, the preset power threshold, and the corresponding relationship; determining the candidate charging area based on the route location and the third distance threshold; Determine the charging pile information corresponding to the candidate charging area as the candidate charging pile information; Analyze the candidate charging pile information to determine the power supply; Calculate a new remaining electric energy of the vehicle based on the electric energy supply and the remaining electric energy of the vehicle; The step of calculating the remaining power of the car to reach each of the route locations based on the new remaining power of the car, the current environmental conditions, the corresponding relationship and the current driving information is executed cyclically until the new remaining power of the car enables the car to reach the driving destination.

5. The method according to claim 3, characterized in that: The analyzing the candidate charging pile information to obtain the recommendation degree of each candidate charging pile includes: estimating an estimated arrival time of the vehicle at each of the candidate charging posts based on the current driving information and the current environmental conditions; Determine the current queue information of the candidate charging piles based on the candidate charging pile information; Calculate the estimated waiting time based on the current queue information and the estimated arrival time; Determining a first recommended parameter based on the estimated waiting time; Determine power supply information based on the candidate charging pile information, wherein the power supply information includes available power and charging power; Determining a second recommended parameter based on the available power and the charging power; Calculate the remaining power of the vehicle when it reaches each of the candidate charging piles based on the current environmental conditions, the corresponding relationship, the current driving information, and the vehicle power information; determining a third recommended parameter based on the remaining electrical energy of the vehicle; Calculate the charging recommendation degree based on the first recommended parameter, the second recommended parameter, the third recommended parameter and a preset weight; Determining a fourth recommendation parameter based on the location of the candidate charging pile and the charging recommendation degree; The recommendation degree of each of the candidate charging piles is calculated based on the charging recommendation degree, the fourth recommendation parameter and the preset weight.

6. The method according to claim 5, characterized in that The determining the fourth recommendation parameter based on the location of the candidate charging pile and the charging recommendation degree includes: Calculate the detour distance to each of the candidate charging piles based on the location of the candidate charging piles and the current driving information; determining a first sub-recommended parameter based on the detour distance; Calculate a first distance between every two of the candidate charging piles in each of the candidate charging areas; Dividing the alternative charging piles in each of the alternative charging areas based on the first distance and the third distance threshold to obtain a plurality of charging pile combinations, wherein the number of the alternative charging piles in each of the charging pile combinations is greater than or equal to 1, and the first distance in each of the charging pile combinations is less than the third distance threshold, and each of the alternative charging piles may exist in a plurality of the charging pile combinations; Determining a second sub-recommendation parameter based on the charging recommendation degree in the charging pile combination corresponding to the candidate charging pile; Obtaining historical fault information of each of the candidate charging piles; Determining a third sub-recommended parameter based on the historical fault information; The fourth recommendation parameter is calculated based on the first sub-recommendation parameter, the second sub-recommendation parameter, the third sub-recommendation parameter and the preset weight.

7. The method according to claim 6, characterized in that The determining of the electric energy candidate location based on the candidate charging pile information and the recommendation degree includes: sorting the candidate charging piles in each candidate charging area based on the recommendation degree to obtain a first sorting result; Determine the position of the candidate charging pile with the highest recommendation degree in each of the first sorting results as the first electric energy candidate position; Determine a second electric energy candidate location based on the first electric energy candidate location, the charging pile combination and the first sorting result; The alternative power position is determined based on the first alternative power position and the second alternative power position.

8. An electric vehicle power alternative position locking device, characterized in that: include: Information acquisition module, used to obtain vehicle power information, current driving information and charging pile information; A type determination module, configured to determine a travel type based on the current driving information; An alternative determination module, configured to determine alternative charging pile information based on the travel type, the vehicle power information, the current driving information, and the charging pile information; A recommendation determination module, used to analyze the candidate charging pile information to obtain the recommendation degree of each candidate charging pile; a target determination module, configured to determine an alternative power location based on the alternative charging pile information and the recommendation degree, wherein the alternative power location includes a first alternative power location and a second alternative power location, wherein the second alternative power location is a candidate charging location corresponding to the first alternative power location, and the number of the first alternative power locations is greater than or equal to 1; A sequence determination module is used to determine the sequence of the first power alternative positions based on the current driving information if the number of the first power alternative positions is greater than 1.

9. An electronic device, characterized in that: comprising a processor coupled to a memory; The processor is configured to execute a computer program stored in the memory, so that the electronic device executes the method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: The method comprises a computer program or an instruction, which, when executed on a computer, causes the computer to execute the method according to any one of claims 1 to 7.

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