Method, device, equipment and medium for determining electric vehicle charging station

Abstract

The present invention relates to a method, device, equipment and medium for determining an electric vehicle charging station, wherein the method comprises: using an electric vehicle charging time model to predict the charging time of an electric vehicle; calculating the driving time and queuing time of the electric vehicle according to the current position of the electric vehicle and the real-time charging conditions of several target charging stations; determining the unit time value of the electric vehicle according to the type of the electric vehicle; calculating the charging costs corresponding to different target charging stations according to the charging time, driving time, queuing time and unit time value of the electric vehicle, and selecting the target charging station with the lowest charging cost as the final charging station. The present invention can select the most suitable charging station based on time cost and cost cost.

Description

Technical Field

[0001] The present invention relates to the technical field of electric vehicle charging, and in particular to a method, device, equipment and medium for determining an electric vehicle charging site. Background Art

[0002] Electric vehicles are vehicles that use an onboard power source as a driving force and use an electric motor to drive the wheels. As they have less impact on the environment than traditional vehicles, their prospects are widely optimistic.

[0003] Compared with traditional fuel vehicles, electric vehicles face the problem of insufficient battery life. At the same time, the construction of charging piles is closely related to the construction of urban infrastructure. It not only involves large-scale investment, but is also subject to factors such as land and environment. It is very difficult to achieve a reasonable layout of charging piles; the unknown location information and usage status of charging facilities, as well as the blindness and randomness of user travel routes and charging behaviors, lead to uneven distribution of charging facility service levels and increased travel costs for users. Summary of the invention

[0004] The technical problem to be solved by the present invention is to provide a method, device, equipment and medium for determining an electric vehicle charging station, which can select the most suitable charging station based on time cost and cost cost.

[0005] The technical solution adopted by the present invention to solve the technical problem is: to provide a method for determining an electric vehicle charging station, comprising the following steps:

[0006] Use the electric vehicle charging time model to predict the charging time of electric vehicles;

[0007] Calculate the driving time and queuing time of the electric vehicle based on the current location of the electric vehicle and the real-time charging status of several target charging stations;

[0008] Determine the unit time value of electric vehicles based on the type of electric vehicles;

[0009] The charging costs corresponding to different target charging stations are calculated based on the charging time, driving time, queuing time and unit time value of the electric vehicle, and the target charging station with the lowest charging cost is selected as the final charging station.

[0010] The electric vehicle charging time model is: Among them, T c m The charging time of electric vehicles, SOC t represents the state of charge of the battery of the electric vehicle, Cap represents the capacity of the battery of the electric vehicle; η is the charging efficiency, P c is the average charging power of electric vehicles.

[0011] The target charging site is a charging site whose distance from the current position of the electric vehicle is less than a distance threshold.

[0012] The driving time of the electric vehicle is Calculated, where T drive,i,t is the driving time for the electric vehicle to reach the i-th target charging station, L is the distance the electric vehicle travels to the i-th target charging station, and V is the real-time driving speed of the electric vehicle.

[0013] The queuing time of the electric vehicle is Calculated, among which, is the queuing time required for the electric vehicle to reach the i-th target charging station, T queue,i,t is the queuing time of the i-th target charging station at time t, denoted as T queue,i,t =T leave,i,t {h+1}+gT queue_charge , T leave,i,t {h+1} represents the time required for the h+1th electric vehicle to leave the i-th target charging station after the ordering of the electric vehicles being charged in the i-th target charging station at time t, where h is the remainder of n / m, g is the quotient of n / m, n is the number of vehicles in the queue, m is the number of charging piles at the i-th target charging station, and T queue_charge The time required to fully charge an electric car in a queue; T drive,i,t is the driving time for the electric vehicle to reach the i-th target charging station.

[0014] Determining the unit time value of the electric vehicle according to the type of the electric vehicle specifically includes:

[0015] When the electric vehicle is a private car, Calculate the unit time value of electric vehicles;

[0016] When the electric vehicle is a taxi, α t =z t ·S t Calculate the unit time value of electric vehicles;

[0017] Among them, α t is the unit time value of electric vehicles, PerCapitaGDP is the city’s per capita gross national product, D is the number of working days in a year, H is the number of working hours per day, α is the time value coefficient, and z t is the number of passengers carried by taxis per unit time in time period t, S t is the revenue from each passenger carried during time period t.

[0018] The charging cost is Calculated, where F i The charging cost for electric vehicles to charge at the i-th target charging station, α t is the unit time value of electric vehicles, T drive,i,t is the driving time for the electric vehicle to reach the i-th target charging station, is the queuing time required for the electric vehicle to reach the i-th target charging station, T c m The charging time of electric vehicles, SOC t Indicates the state of charge of the battery of the electric vehicle, Cap indicates the capacity of the battery of the electric vehicle, C i,t is the charging electricity price of the i-th target charging station.

[0019] The technical solution adopted by the present invention to solve the technical problem is: to provide an electric vehicle charging station determination device, comprising:

[0020] A prediction module, used to predict the charging time of an electric vehicle using an electric vehicle charging time model;

[0021] A calculation module, used to calculate the driving time and queuing time of the electric vehicle according to the current position of the electric vehicle and the real-time charging conditions of several target charging stations;

[0022] a determination module, for determining a unit time value of the electric vehicle according to the type of the electric vehicle;

[0023] The selection module is used to calculate the charging costs corresponding to different target charging stations according to the charging time, driving time, queuing time and unit time value of the electric vehicle, and select the target charging station with the lowest charging cost as the final charging station.

[0024] The technical solution adopted by the present invention to solve its technical problem is: to provide an electronic device, including 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-mentioned electric vehicle charging station determination method when executing the computer program.

[0025] The technical solution adopted by the present invention to solve its technical problem is: providing a computer-readable storage medium on which a computer program is stored, and when the computer program is executed by a processor, the steps of the above-mentioned electric vehicle charging station determination method are implemented.

[0026] Beneficial Effects

[0027] Due to the adoption of the above-mentioned technical solution, the present invention has the following advantages and positive effects compared with the prior art: the present invention can select the most suitable charging station for users to charge based on the driving time to the charging station, the waiting time at the charging station, the charging time and the electricity price of the charging station. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] Figure 1 4 is a flow chart of a method for determining an electric vehicle charging station according to a first embodiment of the present invention. DETAILED DESCRIPTION

[0029] The present invention will be further described below in conjunction with specific embodiments. It should be understood that these embodiments are only used to illustrate the present invention and are not intended to limit the scope of the present invention. In addition, it should be understood that after reading the content taught by the present invention, those skilled in the art can make various changes or modifications to the present invention, and these equivalent forms fall within the scope limited by the appended claims of the application equally.

[0030] At present, the charging facilities installed in residential areas are slow charging piles, and there are charging piles in parking spaces where users have installed private charging piles. Most industrial areas are equipped with slow charging piles, and there are a small number of fast charging piles, and some parking spaces have charging piles. Fast charging piles are installed in parking lots in commercial areas. In addition to the distributed charging piles installed in various residential, industrial and commercial areas, centralized public charging stations for electric vehicles are also built in various areas of the city. The charging stations are fast charging piles, and the number of charging piles at each charging station is limited. When electric vehicle users arrive at residential areas, industrial areas and commercial areas according to their travel purposes, if the users have charging needs, they will start charging their electric vehicles after parking. When electric vehicle users have charging needs while driving on the road, they will choose a suitable charging station for charging based on information such as charging electricity prices and charging station queue times.

[0031] Determine the conditions under which electric vehicle users generate charging needs. Since private charging piles for electric vehicles have not yet been installed 1:1, the charging locations for electric vehicles can be divided into three categories: charging at private charging piles in residential areas, charging at charging piles in industrial or commercial areas, and charging at charging piles in public charging stations.

[0032] Category 1: For electric vehicle users who have private charging piles at home, after returning to the residential area after a day's journey, most users judge based on the remaining power of the vehicle. When the battery power SOC of the electric vehicle is lower than the threshold R, they will immediately use the private charging pile in the residential area to charge. Usually the threshold is 0.2. At the same time, there are electric vehicle users who charge every day regardless of the amount of power.

[0033] The second category: users who do not have private charging piles at home, but have charging piles at their workplaces and commercial areas, so every time they arrive at an industrial or commercial area, they determine whether they need to charge based on whether the battery power SOC of the electric vehicle is lower than the threshold R. If charging is required, they will fully charge it. If the local charging piles are full, they will charge it when they arrive at the industrial or commercial area next time.

[0034] The third category: users who do not have private charging piles and only charge at public charging stations. If the battery level is lower than the threshold during driving, or the remaining mileage Lc cannot meet the shortest mileage Lmin requirement, they will start looking for a suitable public charging station to charge.

[0035] In view of the third situation, the first embodiment of the present invention provides a method for determining an electric vehicle charging station, through which such users can find the most suitable electric vehicle charging station for charging. Figure 1 As shown, the specific steps include:

[0036] Step 1: Use the electric vehicle charging time model to predict the charging time of the electric vehicle.

[0037] The duration of electric vehicle charging is determined by factors such as battery capacity, initial state of charge, and charging power level. Therefore, the electric vehicle charging duration model in this step can be expressed as:

[0038]

[0039] Among them, T c m The charging time of electric vehicles, SOC t represents the state of charge of the battery of the electric vehicle, Cap represents the capacity of the battery of the electric vehicle; η is the charging efficiency, P c is the average charging power of electric vehicles.

[0040] Step 2: Calculate the driving time and queuing time of the electric vehicle based on the current location of the electric vehicle and the real-time charging status of several target charging stations, wherein the target charging station refers to a charging station whose distance from the current location of the electric vehicle is less than a distance threshold.

[0041] When an electric car needs to be charged after arriving at a destination, it can be charged at a local charging station. When an electric car needs to be charged while driving, a charging station is selected based on the driving time to the charging station, the queuing time at the charging station, the charging time, and the electricity price of the charging station.

[0042] At the time t when charging is determined, based on the real-time driving speed V of the electric vehicle and the total distance L to the target charging station i, the driving time T of the electric vehicle is obtained.drive,i,t , which can be expressed as:

[0043]

[0044] The queue time T of the target charging station i at time t queue,i,t The departure time from the charging car is T leave,i,t The queuing time is related to the number of vehicles n in the queue. This implementation does not consider the electric vehicles that have just arrived at the charging station before the vehicle arrives at the charging station. The queuing time required when the electric vehicle arrives at the charging station is It can be expressed as:

[0045]

[0046] T queue,i,t =T leave,i,t {h+1}+gT queue_charge

[0047] Let {T leave,i,t,1 ,T leave,i,t,2 ,…,T leave,i,k} is the set of electric vehicles being charged in the target charging station i at time t, sorted from small to large by the time required to fully charge, k is the number of electric vehicles being charged in the target charging station i. h is the remainder of n / m, and m is the number of charging piles in the target charging station i. T leave,i,t {h+1} is the time required for the h+1th car to leave the target charging station i after sorting, g is the quotient of n / m, indicating that g cars in the queue will charge at the charging pile first after the electric car arrives at the charging station, T queue_charge The time required to fully charge an electric vehicle in the queue is assumed to be the same in this embodiment.

[0048] Step 3, determine the unit time value of the electric vehicle based on the type of the electric vehicle.

[0049] The choice of charging station must also take into account the unit time value of the electric car owners themselves.

[0050] Private car users mainly earn income from work. The time value of the working time period is related to the user's income and working time. The unit time α of the user's working time can be calculated by the city's per capita gross national product (PerCapitaGDP). t The value can be expressed as:

[0051]

[0052] In the formula, PerCapitaGDP is the city's per capita gross national product, D is the number of working days in a year, H is the number of working hours per day, and α is the time value coefficient. For a private car, the working hours in a year are 250 days, the working hours in a day are 8 hours, and the time value coefficient is 1.5.

[0053] For taxis, at time t, the value per unit time of a taxi is α t is the average passenger volume of a taxi segment and the average passenger revenue per ride, which can be expressed as:

[0054] α t =z t ·S t

[0055] In the formula, z t is the number of passengers carried by taxis per unit time in time period t, S t is the revenue from each passenger carried during time period t.

[0056] Step 4: Calculate the charging costs corresponding to different target charging stations according to the charging time, driving time, queuing time and unit time value of the electric vehicle, and select the target charging station with the lowest charging cost as the final charging station.

[0057] The charging cost in this step mainly includes time cost and electricity price cost.

[0058] During the charging process, electric vehicle users take the total time spent traveling to the target charging station i and the queuing time at the target charging station i as the time cost F 1,i , which can be expressed as:

[0059]

[0060] The total electricity price of the electric vehicle fully charged at the target charging station i is taken as the electricity price cost F 2,i , which can be expressed as:

[0061] F 2,i =(1-SOC t )·Cap·C i,t

[0062] C i,t is the charging electricity price of the i-th target charging station.

[0063] Therefore, the charging cost of the electric vehicle to the target charging station i is F i It can be expressed as:

[0064] F i =F 1,i +F 2,i

[0065] According to the minimization principle, select the minimum charging cost F i The corresponding target charging station is used as the final charging station.

[0066] It is not difficult to find that this embodiment can select the most suitable charging station for users to charge based on the travel time to the charging station, the queuing time at the charging station, the charging time and the electricity price of the charging station.

[0067] A second embodiment of the present invention relates to a device for determining an electric vehicle charging station, comprising:

[0068] A prediction module, used to predict the charging time of an electric vehicle using an electric vehicle charging time model;

[0069] A calculation module, used to calculate the driving time and queuing time of the electric vehicle according to the current position of the electric vehicle and the real-time charging conditions of several target charging stations;

[0070] a determination module, for determining a unit time value of the electric vehicle according to the type of the electric vehicle;

[0071] The selection module is used to calculate the charging costs corresponding to different target charging stations according to the charging time, driving time, queuing time and unit time value of the electric vehicle, and select the target charging station with the lowest charging cost as the final charging station.

[0072] The electric vehicle charging time model is: Among them, T c m The charging time of electric vehicles, SOC t represents the state of charge of the battery of the electric vehicle, Cap represents the capacity of the battery of the electric vehicle; η is the charging efficiency, P c is the average charging power of electric vehicles.

[0073] The target charging site is a charging site whose distance from the current position of the electric vehicle is less than a distance threshold.

[0074] The calculation module is Calculate the driving time of the electric vehicle, where T drive,i,t is the driving time for the electric vehicle to reach the i-th target charging station, L is the distance the electric vehicle travels to the i-th target charging station, and V is the real-time driving speed of the electric vehicle.

[0075] The calculation module is Calculate the queuing time for electric vehicles, where is the queuing time required for the electric vehicle to reach the i-th target charging station, T queue,i,tis the queuing time of the i-th target charging station at time t, denoted as T queue,i,t =T leave,i,t {h+1}+gT queue_charge , T leave,i,t {h+1} represents the time required for the h+1th electric vehicle to leave the i-th target charging station after the ordering of the electric vehicles being charged in the i-th target charging station at time t, where h is the remainder of n / m, g is the quotient of n / m, n is the number of vehicles in the queue, m is the number of charging piles at the i-th target charging station, and T queue_charge The time required to fully charge an electric car in a queue; T drive,i,t is the driving time for the electric vehicle to reach the i-th target charging station.

[0076] The determination module comprises:

[0077] The first determination unit is used to use the electric vehicle as a private car. Calculate the unit time value of electric vehicles;

[0078] The second determining unit is used to use α t =z t ·S t Calculate the unit time value of electric vehicles;

[0079] Among them, α t is the unit time value of electric vehicles, PerCapitaGDP is the city’s per capita gross national product, D is the number of working days in a year, H is the number of working hours per day, α is the time value coefficient, and z t is the number of passengers carried by taxis per unit time in time period t, S t is the revenue from each passenger carried during time period t.

[0080] The selection module Calculate the charging cost of charging at different target charging stations, where F i The charging cost for electric vehicles to charge at the i-th target charging station, α t is the unit time value of electric vehicles, T drive,i,t is the driving time for the electric vehicle to reach the i-th target charging station, is the queuing time required for the electric vehicle to reach the i-th target charging station, T c m The charging time of electric vehicles, SOC t Indicates the state of charge of the battery of the electric vehicle, Cap indicates the capacity of the battery of the electric vehicle, C i,t is the charging electricity price of the i-th target charging station.

[0081] A third embodiment of the present invention relates to an electronic device, 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-mentioned method for determining an electric vehicle charging station when executing the computer program.

[0082] A fourth embodiment of the present invention relates to a computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the steps of the above-mentioned method for determining an electric vehicle charging station are implemented.

[0083] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage and optical storage, etc.) that contain computer-usable program code.

[0084] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0085] These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer-readable memory produce a manufactured product including an instruction method, which is implemented in the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0086] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1The steps for the functions specified in one or more boxes.

[0087] The above is only a specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art can easily think of changes or substitutions within the technical scope disclosed by the present invention, which should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention should be based on the protection scope of the claims.

Claims

1. A method for determining an electric vehicle charging station, characterized in that: The following steps are involved: Use the electric vehicle charging time model to predict the charging time of electric vehicles; Calculate the driving time and queuing time of the electric vehicle based on the current location of the electric vehicle and the real-time charging status of several target charging stations; Determine the unit time value of electric vehicles based on the type of electric vehicles; The charging costs corresponding to different target charging stations are calculated based on the charging time, driving time, queuing time and unit time value of the electric vehicle, and the target charging station with the lowest charging cost is selected as the final charging station.

2. The method for determining an electric vehicle charging station according to claim 1, characterized in that: The electric vehicle charging time model is: in, The charging time of electric vehicles, SOC t represents the state of charge of the battery of the electric vehicle, Cap represents the capacity of the battery of the electric vehicle; η is the charging efficiency, P c is the average charging power of electric vehicles.

3. The method for determining an electric vehicle charging station according to claim 1, characterized in that: The target charging site is a charging site whose distance from the current position of the electric vehicle is less than a distance threshold.

4. The method for determining an electric vehicle charging station according to claim 1, characterized in that: The driving time of the electric vehicle is Calculated, where T drive,i,t is the driving time for the electric vehicle to reach the i-th target charging station, L is the distance the electric vehicle travels to the i-th target charging station, and V is the real-time driving speed of the electric vehicle.

5. The method for determining an electric vehicle charging station according to claim 1, characterized in that: The queuing time of the electric vehicle is Calculated, among which, is the queuing time required for the electric vehicle to reach the i-th target charging station, T queue,i,t is the queuing time of the i-th target charging station at time t, denoted as T queue,i,t =T leave,i,t {h+1}+gT queue_charge , T leave,i,t {h+1} represents the time required for the h+1th electric vehicle to leave the i-th target charging station after the ordering of the electric vehicles being charged in the i-th target charging station at time t, where h is the remainder of n / m, g is the quotient of n / m, n is the number of vehicles in the queue, m is the number of charging piles at the i-th target charging station, and T queue_charge The time required to fully charge an electric car in a queue; T drive,i,t is the driving time for the electric vehicle to reach the i-th target charging station.

6. The method for determining an electric vehicle charging station according to claim 1, characterized in that: Determining the unit time value of the electric vehicle according to the type of the electric vehicle specifically includes: When the electric vehicle is a private car, Calculate the unit time value of electric vehicles; When the electric vehicle is a taxi, α t =z t ·S t Calculate the unit time value of electric vehicles; Among them, α t is the unit time value of electric vehicles, PerCapitaGDP is the city’s per capita GDP, D is the number of working days in a year, H is the number of working hours per day, α is the time value coefficient, and z t is the number of passengers carried by taxis per unit time in time period t, S t is the revenue from each passenger carried during time period t.

7. The method for determining an electric vehicle charging station according to claim 1, characterized in that: The charging cost is Calculated, where F i The charging cost for electric vehicles to charge at the i-th target charging station, α t is the unit time value of electric vehicles, T drive,i,t is the driving time for the electric vehicle to reach the i-th target charging station, is the queuing time required for the electric vehicle to reach the i-th target charging station, The charging time of electric vehicles, SOC t Indicates the state of charge of the battery of the electric vehicle, Cap indicates the capacity of the battery of the electric vehicle, C i,t is the charging electricity price of the i-th target charging station.

8. A device for determining an electric vehicle charging station, characterized in that: include: A prediction module, used to predict the charging time of an electric vehicle using an electric vehicle charging time model; A calculation module, used to calculate the driving time and queuing time of the electric vehicle according to the current position of the electric vehicle and the real-time charging conditions of several target charging stations; a determination module, for determining a unit time value of the electric vehicle according to the type of the electric vehicle; The selection module is used to calculate the charging costs corresponding to different target charging stations according to the charging time, driving time, queuing time and unit time value of the electric vehicle, and select the target charging station with the lowest charging cost as the final charging station.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the computer program, the steps of the method for determining an electric vehicle charging station as claimed in any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method for determining an electric vehicle charging station as claimed in any one of claims 1 to 7 are implemented.

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