A method and system for planning a mobile charging vehicle station

Abstract

The present invention relates to the field of mobile charging operation technology, and specifically discloses a method and system for planning the locations of mobile charging vehicles. The method comprises: obtaining the location data of all pre-registered electric vehicles in a historical period; obtaining the distribution data of electric vehicles in all operating areas in a historical period; obtaining all call records received by all operable mobile charging vehicles in a historical period, wherein the call records include the initiation time, registration information, and location of the electric vehicle that initiated the call record; based on all call records received by all operable mobile charging vehicles in a historical period, the location data of all pre-registered electric vehicles in the historical period, and the distribution data of electric vehicles in all operating areas in the historical period, generating an initial location planning strategy for the mobile charging vehicles; and realizing reasonable planning of the initial locations of all operable mobile charging vehicles in all operating areas.

Description

Technical Field

[0001] The present invention relates to the field of mobile charging operation technology, and in particular to a method and system for planning a location for a mobile charging vehicle. Background Art

[0002] Currently, a mobile charging vehicle is a device that receives a user's charging order in the background and then goes to a designated location to charge electric vehicles. Mobile charging vehicle site planning refers to the planning of parking locations for mobile charging vehicles before an order is received. An effective mobile charging vehicle site planning strategy can avoid excessive concentration or dispersion of the initial site distribution of mobile charging vehicles. This allows mobile charging vehicles to more quickly reach the vehicle in need of charging when a user initiates a mobile charging service order, reducing user waiting time and waiting costs, improving user satisfaction and loyalty, reducing power loss during the mobile process, and lowering the company's operating costs. Furthermore, the mobile charging vehicle's profit model primarily generates revenue through charging fees. A good mobile charging vehicle site planning strategy can improve the order completion efficiency of all operational mobile charging vehicles and enhance the company's profitability. Therefore, the quality of the mobile charging vehicle site planning strategy will directly impact the user's charging service experience and the company's profitability.

[0003] However, existing mobile charging vehicle site planning technologies mostly plan the initial sites for all operational mobile charging vehicles by roughly predicting the number of orders received in different operating areas. The quality of the mobile charging vehicle site planning strategy obtained in this way cannot be guaranteed, which will directly affect users' charging service experience and the profitability of the company.

[0004] Therefore, the present invention proposes a method and system for planning the location of mobile charging vehicles. Summary of the Invention

[0005] The present invention provides a method and system for planning the locations of mobile charging vehicles, which are used to rationally plan the initial locations of all operable mobile charging vehicles in all operating areas based on all call records received by all operable mobile charging vehicles in a historical period, the location data of all pre-registered electric vehicles in a historical period, and the electric vehicle distribution data of all operating areas in a historical period. This reduces users' waiting time and waiting costs, improves user satisfaction and loyalty, reduces the power loss of mobile charging vehicles during the movement process, reduces the operating costs of the enterprise, improves the order completion efficiency and overall service efficiency of all operable mobile charging vehicles, and thus improves the profitability of the enterprise.

[0006] The present invention provides a method for planning a location for a mobile charging vehicle, comprising:

[0007] S1: Obtain the location data of all pre-registered electric vehicles in the historical period;

[0008] S2: Obtain electric vehicle distribution data for all operating areas during the historical period;

[0009] S3: Obtain all call records received by all operational mobile charging vehicles in the historical period, where the call records include the initiation time, registration information, and location of the electric vehicle that initiated the call record;

[0010] S4: Generate an initial location planning strategy for mobile charging vehicles based on all call records received by all operational mobile charging vehicles in the historical period, the location data of all pre-registered electric vehicles in the historical period, and the electric vehicle distribution data of all operating areas in the historical period.

[0011] Preferably, S1: obtaining location data of all pre-registered electric vehicles in a historical period, including:

[0012] S101: Obtaining location access permissions from all pre-registered electric vehicles;

[0013] S102: Based on the acquired location acquisition authority of all pre-registered electric vehicles, the location data of all pre-registered electric vehicles in the historical period are acquired.

[0014] Preferably, S2: obtaining electric vehicle distribution data for all operating areas within a historical period, including:

[0015] S201: Determine the total number of electric vehicles in each operating area at each historical moment during the historical period;

[0016] S202: Summarize the total number of electric vehicles in all operating areas at a single historical moment in the historical period to obtain sub-electric vehicle distribution data for all operating areas at a single historical moment in the historical period;

[0017] S203: Sort the sub-electric vehicle distribution data of all operating areas at all historical moments in the historical period in time sequence to obtain the electric vehicle distribution data of all operating areas in the historical period.

[0018] Preferably, S4: generating an initial location planning strategy for mobile charging vehicles based on all call records received by all operational mobile charging vehicles in a historical period, location data of all pre-registered electric vehicles in a historical period, and electric vehicle distribution data in all operating areas in a historical period, including:

[0019] S401: Based on the location data of all pre-registered electric vehicles in the historical period, determine the total number of all pre-registered electric vehicles in all operating areas at each historical moment in the historical period;

[0020] S402: Based on the total number of pre-registered electric vehicles in all operating areas at a single historical moment in the historical period, obtain distribution data of sub-pre-registered electric vehicles in all operating areas at a single historical moment in the historical period;

[0021] S403: sorting the sub-pre-registered electric vehicle distribution data of all operating areas at all historical moments in the historical period according to time sequence to obtain the pre-registered electric vehicle distribution data of all operating areas in the historical period;

[0022] S404: Generate an initial station planning strategy for mobile charging vehicles based on all call records received by all operational mobile charging vehicles in a historical period, electric vehicle distribution data of all operating areas in a historical period, and pre-registered electric vehicle distribution data.

[0023] Preferably, S404: generating an initial station planning strategy for mobile charging vehicles based on all call records received by all operational mobile charging vehicles in a historical period, electric vehicle distribution data in all operating areas in a historical period, and pre-registered electric vehicle distribution data, including:

[0024] Determine the total number of electric vehicles in each operating area at each historical moment in the historical period based on the electric vehicle distribution data for all operating areas during the historical period. At the same time, determine the total number of pre-registered electric vehicles in each operating area at each historical moment in the historical period based on the pre-registered electric vehicle distribution data for all operating areas during the historical period.

[0025] Subtract the total number of electric vehicles in each operating area during the historical period from the total number of pre-registered electric vehicles to obtain the total number of non-pre-registered electric vehicles in each operating area at each historical moment during the historical period;

[0026] Based on the distribution data of pre-registered electric vehicles in each operating area during the historical period, determine the total number of pre-registered electric vehicles in each operating area at each historical moment during the historical period;

[0027] Based on all call records received by all operational mobile charging vehicles during the historical period, and the total number of pre-registered electric vehicles and non-pre-registered electric vehicles in each operating area at each historical moment during the historical period, an initial station planning strategy for mobile charging vehicles is generated.

[0028] Preferably, an initial station planning strategy for mobile charging vehicles is generated based on all call records received by all operational mobile charging vehicles in a historical period, and the total number of pre-registered electric vehicles and the total number of non-pre-registered electric vehicles in each operating area at each historical moment in the historical period, including:

[0029] Based on the initiation time, registration information, and location of the electric vehicle that initiated the corresponding call record in all call records received by all operational mobile charging vehicles in the historical period, the total number of call records belonging to each operating area and corresponding to the electric vehicle as a pre-registered electric vehicle is determined from all call records received at each historical moment in the historical period, and the total number of pre-registered call records received in each operating area at each historical moment in the historical period;

[0030] At the same time, the total number of call records corresponding to electric vehicles that are non-pre-registered electric vehicles in each operating area is determined, and is used as the total number of non-pre-registered call records received at each historical moment in the historical period of each operating area;

[0031] Based on the total number of pre-registration call records and non-pre-registration call records received by each operating area at each historical moment during the historical period, as well as the total number of pre-registered electric vehicles and non-pre-registered electric vehicles at each historical moment during the historical period in each operating area, the comprehensive pre-registration demand ratio and comprehensive non-pre-registration demand ratio of each operating area are analyzed;

[0032] Based on the comprehensive pre-registration demand ratio and the comprehensive non-pre-registration demand ratio of each operating area, an initial station planning strategy for mobile charging vehicles is generated.

[0033] Preferably, based on the total number of pre-registered call records and the total number of non-pre-registered call records received in each operating area at each historical moment in the historical period, and the total number of pre-registered electric vehicles and the total number of non-pre-registered electric vehicles in each operating area at each historical moment in the historical period, a comprehensive pre-registration demand ratio and a comprehensive non-pre-registration demand ratio of each operating area are analyzed, including:

[0034] The ratio of the total number of pre-registration call records received by each operating area at each historical moment in the historical period to the total number of pre-registered electric vehicles in the corresponding operating area at the corresponding historical moment in the historical period shall be regarded as the pre-registration demand ratio of each operating area at each historical moment in the historical period;

[0035] The ratio of the total number of non-pre-registered call records received by each operating area at each historical moment in the historical period to the total number of non-pre-registered electric vehicles in the corresponding operating area at the corresponding historical moment in the historical period shall be regarded as the non-pre-registration demand ratio of each operating area at each historical moment in the historical period;

[0036] The debiased mean of the pre-registration demand ratios of each operating region at all historical moments in the historical period is taken as the comprehensive pre-registration demand ratio of each operating region;

[0037] The debiased mean of the non-pre-registration demand ratio of each operating area at all historical moments in the historical period is taken as the comprehensive non-pre-registration demand ratio of each operating area.

[0038] Preferably, based on the comprehensive pre-registration demand ratio and the comprehensive non-pre-registration demand ratio of each operating area, an initial station planning strategy for mobile charging vehicles is generated, including:

[0039] Analyze the changing trend of electric vehicle distribution data in each operating area based on the electric vehicle distribution data of all operating areas in the historical period;

[0040] Based on the changing trend of electric vehicle distribution data in each operating area, the maximum number of pre-registered electric vehicles and the maximum number of non-pre-registered electric vehicles per unit time in each operating area within the future planning period are predicted;

[0041] The product of the maximum total number of pre-registered electric vehicles per unit time in each operating area in the future planning period and the comprehensive pre-registered demand ratio shall be regarded as the maximum direct demand per unit time in each operating area in the future planning period;

[0042] The product of the maximum total number of non-pre-registered electric vehicles per unit time in each operating area in the future planning period and the comprehensive non-pre-registered demand ratio is regarded as the maximum potential demand per unit time in each operating area in the future planning period;

[0043] The maximum direct demand per unit time and the maximum potential demand per unit time of all operating areas in the future planning period as well as the total number of all operational mobile charging vehicles are input into the initial station planning model to obtain the initial station planning strategy for mobile charging vehicles.

[0044] Preferably, based on the electric vehicle distribution data of all operating areas in the historical period, the changing trend of the electric vehicle distribution data of each operating area is analyzed, including:

[0045] The electric vehicle distribution data of all operating areas in the historical period are input into the change trend analysis model to obtain the change trend of the electric vehicle distribution data of each operating area.

[0046] The present invention provides a mobile charging vehicle station planning system, which is used to execute any one of the above mobile charging vehicle station planning methods, including:

[0047] A location data acquisition module, used to obtain location data of all pre-registered electric vehicles in a historical period;

[0048] Distribution data acquisition module, used to obtain electric vehicle distribution data in all operating areas within the historical period;

[0049] A call record acquisition module is used to obtain all call records received by all operational mobile charging vehicles in a historical period, wherein the call records include the initiation time, registration information, and location of the electric vehicle that initiated the call record;

[0050] The station strategy planning module is used to generate the initial station planning strategy of the mobile charging vehicle based on all call records received by all operational mobile charging vehicles in the historical period, the location data of all pre-registered electric vehicles in the historical period, and the electric vehicle distribution data of all operating areas in the historical period.

[0051] The beneficial effects of the present invention compared to the prior art are as follows: based on all call records received by all operable mobile charging vehicles in the historical period, the location data of all pre-registered electric vehicles in the historical period, and the electric vehicle distribution data of all operating areas in the historical period, the initial locations of all operable mobile charging vehicles in all operating areas are rationally planned, which reduces the waiting time and waiting cost of users, improves user satisfaction and loyalty, reduces the power loss of mobile charging vehicles during the movement process, reduces the operating costs of enterprises, improves the order completion efficiency and overall service efficiency of all operable mobile charging vehicles, and thus improves the profitability of enterprises.

[0052] Other features and advantages of the present invention will be described in the following description, and in part will become apparent from the description, or will be understood by practicing the present invention. The purpose and other advantages of the present invention can be achieved and obtained through the structures specifically pointed out in this application document.

[0053] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0054] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0055] Figure 1 This is a flow chart of a method for planning a location for a mobile charging vehicle in an embodiment of the present invention;

[0056] Figure 2 This is a flowchart of a specific execution method of step S1 in an embodiment of the present invention;

[0057] Figure 3 This is a flowchart of a specific execution method of step S2 in an embodiment of the present invention;

[0058] Figure 4 This is a flowchart of a specific execution method of step S4 in an embodiment of the present invention;

[0059] Figure 5 Schematic diagram of the internal functional submodules of the site planning system for mobile charging vehicles in an embodiment of the present invention. DETAILED DESCRIPTION

[0060] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0061] Example 1:

[0062] The present invention provides a method for planning the location of a mobile charging vehicle. Figure 1 ,include:

[0063] S1: Obtain the location data of all pre-registered electric vehicles in the historical period;

[0064] S2: Obtain electric vehicle distribution data for all operating areas during the historical period;

[0065] S3: Obtain all call records received by all operational mobile charging vehicles in the historical period, where the call records include the initiation time, registration information, and location of the electric vehicle that initiated the call record;

[0066] S4: Generate an initial location planning strategy for mobile charging vehicles based on all call records received by all operational mobile charging vehicles in the historical period, the location data of all pre-registered electric vehicles in the historical period, and the electric vehicle distribution data of all operating areas in the historical period.

[0067] In this embodiment, the pre-registered electric vehicle is an electric vehicle that has been pre-registered in the background management system of the mobile charging vehicle.

[0068] In this embodiment, the historical period is a period of time before the current moment.

[0069] In this embodiment, the location data includes data on the specific locations of all pre-registered electric vehicles at each historical moment in a historical period.

[0070] In this embodiment, the operating area is the area where the current mobile charging vehicle platform can provide charging services.

[0071] In this embodiment, the operable mobile charging vehicle is a mobile charging vehicle that can provide charging services.

[0072] In this embodiment, the initial station planning strategy for mobile charging vehicles is an allocation strategy including the initial stations allocated to all operable mobile vehicles, or can be understood as a strategy including the number of mobile charging vehicles initially allocated in each operating area.

[0073] The beneficial effects of the above technology are: based on all call records received by all operational mobile charging vehicles in the historical period, the location data of all pre-registered electric vehicles in the historical period, and the electric vehicle distribution data of all operating areas in the historical period, the initial stations of all operational mobile charging vehicles in all operating areas are reasonably planned, which reduces the user's waiting time and waiting cost, improves user satisfaction and loyalty, reduces the power loss of mobile charging vehicles during the movement process, reduces the company's operating costs, improves the order completion efficiency and overall service efficiency of all operational mobile charging vehicles, and thus improves the company's profitability.

[0074] Example 2:

[0075] Based on Example 1, S1: Obtain the location data of all pre-registered electric vehicles in the historical period, refer to Figure 2 ,include:

[0076] S101: Obtaining location access permissions from all pre-registered electric vehicles;

[0077] S102: Based on the acquired location acquisition authority of all pre-registered electric vehicles, the location data of all pre-registered electric vehicles in the historical period are acquired.

[0078] In this embodiment, the location acquisition permission is the permission for the pre-registered vehicle to allow the background management system of the mobile charging vehicle to obtain its real-time location.

[0079] The beneficial effect of the above technology is: based on obtaining location acquisition permissions from all pre-registered electric vehicles in advance, the location data of all pre-registered electric vehicles in the historical period can be legally obtained.

[0080] Example 3:

[0081] Based on Example 1, S2: Obtain the electric vehicle distribution data of all operating areas in the historical period, refer to Figure 3 ,include:

[0082] S201: Determine the total number of electric vehicles in each operating area at each historical moment during the historical period;

[0083] S202: Summarize the total number of electric vehicles in all operating areas at a single historical moment in the historical period to obtain sub-electric vehicle distribution data for all operating areas at a single historical moment in the historical period;

[0084] S203: Sort the sub-electric vehicle distribution data of all operating areas at all historical moments in the historical period in time sequence to obtain the electric vehicle distribution data of all operating areas in the historical period.

[0085] In this embodiment, the total number of electric vehicles included in the operating area at a single moment is the total number of electric vehicles staying in the operating area at a single moment.

[0086] In this embodiment, the electric vehicle distribution data includes the total number of electric vehicles in all operating areas at each historical moment in a historical period.

[0087] In this embodiment, the historical moments are moments within a historical period, and the time intervals between each group of adjacent historical moments are equal.

[0088] The beneficial effect of the above technology is that it clarifies the specific data contained in the electric vehicle distribution data of all operating areas during the historical period.

[0089] Example 4:

[0090] On the basis of Example 1, S4: Based on all call records received by all operational mobile charging vehicles in the historical period, the location data of all pre-registered electric vehicles in the historical period, and the electric vehicle distribution data of all operating areas in the historical period, an initial station planning strategy for the mobile charging vehicle is generated, referring to Figure 4 ,include:

[0091] S401: Based on the location data of all pre-registered electric vehicles in the historical period, determine the total number of all pre-registered electric vehicles in all operating areas at each historical moment in the historical period;

[0092] S402: Based on the total number of pre-registered electric vehicles in all operating areas at a single historical moment in the historical period, obtain distribution data of sub-pre-registered electric vehicles in all operating areas at a single historical moment in the historical period;

[0093] S403: sorting the sub-pre-registered electric vehicle distribution data of all operating areas at all historical moments in the historical period according to time sequence to obtain the pre-registered electric vehicle distribution data of all operating areas in the historical period;

[0094] S404: Generate an initial station planning strategy for mobile charging vehicles based on all call records received by all operational mobile charging vehicles in a historical period, electric vehicle distribution data of all operating areas in a historical period, and pre-registered electric vehicle distribution data.

[0095] In this embodiment, based on the total number of pre-registered electric vehicles in all operating areas at a single historical moment in the historical period, the distribution data of sub-pre-registered electric vehicles in all operating areas at a single historical moment in the historical period is obtained, namely:

[0096] The total number of pre-registered electric vehicles in all operating areas at a single historical moment in the historical period is aggregated to obtain the sub-pre-registered electric vehicle distribution data for all operating areas at a single historical moment in the historical period.

[0097] The beneficial effects of the above technology are: based on the location data of all pre-registered electric vehicles in the historical period, the distribution data of pre-registered electric vehicles in all operating areas in the historical period is obtained, and further combined with all call records received by all operational mobile charging vehicles in the historical period and the electric vehicle distribution data in all operating areas in the historical period, a reasonable initial station planning strategy for mobile charging vehicles is generated.

[0098] Example 5:

[0099] Based on Example 4, S404: Based on all call records received by all operational mobile charging vehicles in the historical period, the electric vehicle distribution data of all operating areas in the historical period, and the pre-registered electric vehicle distribution data, an initial station planning strategy for the mobile charging vehicles is generated, including:

[0100] Determine the total number of electric vehicles in each operating area at each historical moment in the historical period based on the electric vehicle distribution data for all operating areas during the historical period. At the same time, determine the total number of pre-registered electric vehicles in each operating area at each historical moment in the historical period based on the pre-registered electric vehicle distribution data for all operating areas during the historical period.

[0101] Subtract the total number of electric vehicles in each operating area during the historical period from the total number of pre-registered electric vehicles to obtain the total number of non-pre-registered electric vehicles in each operating area at each historical moment during the historical period;

[0102] Based on the distribution data of pre-registered electric vehicles in each operating area during the historical period, determine the total number of pre-registered electric vehicles in each operating area at each historical moment during the historical period;

[0103] Based on all call records received by all operational mobile charging vehicles during the historical period, and the total number of pre-registered electric vehicles and non-pre-registered electric vehicles in each operating area at each historical moment during the historical period, an initial station planning strategy for mobile charging vehicles is generated.

[0104] In this embodiment, the total number of non-pre-registered electric vehicles is the total number of electric vehicles that have not completed registration in the background management system of the mobile charging vehicle in advance.

[0105] In this embodiment, the total number of pre-registered electric vehicles is the total number of electric vehicles that have completed registration in advance in the background management system of the mobile charging vehicle.

[0106] The beneficial effects of the above technology are: based on the electric vehicle distribution data and pre-registered electric vehicle distribution data of all operating areas in the historical period, the total number of non-pre-registered electric vehicles in each operating area at each historical moment in the historical period is obtained, and combined with all call records received by all operational mobile charging vehicles in the historical period and the total number of pre-registered electric vehicles in each operating area at each historical moment in the historical period, a reasonable initial station planning strategy for mobile charging vehicles is generated.

[0107] Example 6:

[0108] Based on Example 5, this embodiment is characterized in that an initial mobile charging vehicle location planning strategy is generated based on all call records received by all operational mobile charging vehicles within a historical period, and the total number of pre-registered electric vehicles and the total number of non-pre-registered electric vehicles in each operating area at each historical moment within the historical period, including:

[0109] Based on the initiation time, registration information, and location of the electric vehicle that initiated the corresponding call record in all call records received by all operational mobile charging vehicles in the historical period, the total number of call records belonging to each operating area and corresponding to the electric vehicle as a pre-registered electric vehicle is determined from all call records received at each historical moment in the historical period, and the total number of pre-registered call records received in each operating area at each historical moment in the historical period;

[0110] At the same time, the total number of call records corresponding to electric vehicles that are non-pre-registered electric vehicles in each operating area is determined, and is used as the total number of non-pre-registered call records received at each historical moment in the historical period of each operating area;

[0111] Based on the total number of pre-registration call records and non-pre-registration call records received by each operating area at each historical moment during the historical period, as well as the total number of pre-registered electric vehicles and non-pre-registered electric vehicles at each historical moment during the historical period in each operating area, the comprehensive pre-registration demand ratio and comprehensive non-pre-registration demand ratio of each operating area are analyzed;

[0112] Based on the comprehensive pre-registration demand ratio and the comprehensive non-pre-registration demand ratio of each operating area, an initial station planning strategy for mobile charging vehicles is generated.

[0113] In this embodiment, a non-pre-registered electric vehicle is an electric vehicle that has not been pre-registered in the background management system of the mobile charging vehicle.

[0114] The beneficial effects of the above technology are: by obtaining the total number of pre-registered call records and the total number of non-pre-registered call records received by each operating area at each historical moment during the historical period, the comprehensive pre-registration demand ratio and the comprehensive non-pre-registration demand ratio of each operating area are accurately analyzed, and further based on the comprehensive pre-registration demand ratio and the comprehensive non-pre-registration demand ratio of each operating area, a reasonable initial station planning strategy for mobile charging vehicles is generated.

[0115] Example 7:

[0116] On the basis of Example 6, based on the total number of pre-registered call records and the total number of non-pre-registered call records received in each operating area at each historical moment in the historical period, and the total number of pre-registered electric vehicles and the total number of non-pre-registered electric vehicles in each operating area at each historical moment in the historical period, the comprehensive pre-registration demand ratio and the comprehensive non-pre-registration demand ratio of each operating area are analyzed, including:

[0117] The ratio of the total number of pre-registration call records received by each operating area at each historical moment in the historical period to the total number of pre-registered electric vehicles in the corresponding operating area at the corresponding historical moment in the historical period shall be regarded as the pre-registration demand ratio of each operating area at each historical moment in the historical period;

[0118] The ratio of the total number of non-pre-registered call records received by each operating area at each historical moment in the historical period to the total number of non-pre-registered electric vehicles in the corresponding operating area at the corresponding historical moment in the historical period shall be regarded as the non-pre-registration demand ratio of each operating area at each historical moment in the historical period;

[0119] The debiased mean of the pre-registration demand ratios of each operating region at all historical moments in the historical period is taken as the comprehensive pre-registration demand ratio of each operating region;

[0120] The debiased mean of the non-pre-registration demand ratio of each operating area at all historical moments in the historical period is taken as the comprehensive non-pre-registration demand ratio of each operating area.

[0121] In this embodiment, debiasing is to remove outliers in the pre-registered demand ratio (or non-pre-registered demand ratio) of each operating area at all historical moments in the historical period.

[0122] The beneficial effects of the above technology are: by obtaining the pre-registration demand ratio and non-pre-registration demand ratio of each operating area at each historical moment in the historical period, and further taking the debiased mean of the pre-registration demand ratio of each operating area at all historical moments in the historical period, and at the same time, taking the debiased mean of the non-pre-registration demand ratio of each operating area at all historical moments in the historical period, the accurate comprehensive pre-registration demand ratio and comprehensive non-pre-registration demand ratio of each operating area are obtained.

[0123] Example 8:

[0124] On the basis of Example 6, an initial location planning strategy for mobile charging vehicles is generated based on the comprehensive pre-registration demand ratio and the comprehensive non-pre-registration demand ratio of each operating area, including:

[0125] Analyze the changing trend of electric vehicle distribution data in each operating area based on the electric vehicle distribution data of all operating areas in the historical period;

[0126] Based on the changing trend of electric vehicle distribution data in each operating area, the maximum number of pre-registered electric vehicles and the maximum number of non-pre-registered electric vehicles per unit time in each operating area within the future planning period are predicted;

[0127] The product of the maximum total number of pre-registered electric vehicles per unit time in each operating area in the future planning period and the comprehensive pre-registered demand ratio shall be regarded as the maximum direct demand per unit time in each operating area in the future planning period;

[0128] The product of the maximum total number of non-pre-registered electric vehicles per unit time in each operating area in the future planning period and the comprehensive non-pre-registered demand ratio is regarded as the maximum potential demand per unit time in each operating area in the future planning period;

[0129] The maximum direct demand per unit time and the maximum potential demand per unit time of all operating areas in the future planning period as well as the total number of all operational mobile charging vehicles are input into the initial station planning model to obtain the initial station planning strategy for mobile charging vehicles.

[0130] In this embodiment, the changing trend of the electric vehicle distribution data in the operating area is represented by a periodic function whose independent variable is time.

[0131] In this embodiment, based on the change trend of the electric vehicle distribution data of each operating area, the maximum total number of pre-registered electric vehicles and the maximum total number of non-pre-registered electric vehicles per unit time in each operating area in the future planning period are predicted, namely:

[0132] Substitute the time period corresponding to the future planning period into the periodic function corresponding to the change trend of the electric vehicle distribution data in each operating area to obtain the total number of pre-registered electric vehicles and the total number of non-pre-registered electric vehicles in each operating area at each moment in the future planning period, where the time interval between each group of adjacent moments in the future planning period is equal to the time interval between each group of historical moments, and the future planning period is a period of time after the current moment;

[0133] The maximum value of the total number of pre-registered electric vehicles at all times in each operating area during the future planning period shall be regarded as the maximum total number of pre-registered electric vehicles per unit time in the corresponding operating area during the future planning period;

[0134] The maximum value of the total number of non-pre-registered electric vehicles in each operating area at all times during the future planning period shall be regarded as the maximum total number of non-pre-registered electric vehicles per unit time in the corresponding operating area during the future planning period.

[0135] In this embodiment, the initial resident planning model is a model obtained by pre-training a neural network model using a large number of resident planning instances as training samples;

[0136] Among them, the resident planning instance includes the maximum direct demand per unit time of all operating areas in the future planning period (the calculation method of which is the same as the calculation method disclosed in this embodiment) and the maximum potential demand per unit time (the calculation method of which is the same as the calculation method disclosed in this embodiment) and the total number of all operational mobile charging vehicles. During the training process, the maximum direct demand per unit time and the maximum potential demand per unit time of all operating areas included in the training sample in the future planning period are used as model inputs, and the total number of all operational mobile charging vehicles included in the training sample is used as model output.

[0137] The beneficial effects of the above technology are: by analyzing the changing trends of the electric vehicle distribution data in each operating area, the maximum total number of pre-registered electric vehicles per unit time and the maximum total number of non-pre-registered electric vehicles per unit time in each operating area in the future planning period are accurately predicted, and based on the maximum total number of pre-registered electric vehicles per unit time and the comprehensive pre-registered demand ratio in each operating area in the future planning period, as well as the maximum total number of non-pre-registered electric vehicles per unit time and the comprehensive non-pre-registered demand ratio in each operating area in the future planning period, the accurate maximum direct demand per unit time and the maximum potential demand per unit time of all operating areas in the future planning period are obtained, and combined with the total number of all operational mobile charging vehicles and the initial station planning model trained using artificial intelligence algorithms, a reasonable initial station planning strategy for mobile charging vehicles is obtained.

[0138] Example 9:

[0139] On the basis of Example 8, based on the electric vehicle distribution data of all operating areas in the historical period, the changing trend of the electric vehicle distribution data of each operating area is analyzed, including:

[0140] The electric vehicle distribution data of all operating areas in the historical period are input into the change trend analysis model to obtain the change trend of the electric vehicle distribution data of each operating area.

[0141] In this embodiment, the change trend analysis model is a model obtained by pre-training a neural network model using a large number of training samples;

[0142] The process of obtaining training samples includes:

[0143] Obtaining the total number of electric vehicles at all historical moments in each additional operating region during another historical period (which is longer) based on the electric vehicle distribution data for all additional operating regions during another historical period, and based on the total number of electric vehicles at all historical moments in each additional operating region during another historical period;

[0144] and dividing the total number of electric vehicles at all historical moments in each other operating area within another historical period into a plurality of sub-historical periods having similar changing trends of the total number of electric vehicles at all historical moments contained therein;

[0145] Based on the total number of electric vehicles at all historical moments in each sub-historical period in each additional operating area, a curve of changes in the total number of electric vehicles in each additional operating area in each sub-historical period is fitted (the horizontal axis is time);

[0146] The average value of the ordinates of the electric vehicle total number change curves of each additional operating region at the same time in all sub-historical periods is used as the ordinate value of the new curve at the corresponding time. Based on the ordinate values ​​of the new curve at all times, a new curve for each additional operating region is fitted;

[0147] using the function representing the new curve for each additional operating region as the electric vehicle distribution data variation trend for each additional operating region;

[0148] The electric vehicle distribution data of all other operating areas in other historical periods and the corresponding electric vehicle distribution data change trends are regarded as all training samples;

[0149] During the training process, the electric vehicle distribution data of all other operating areas in other historical periods are used as the model input in the model training process, and the changing trend of the electric vehicle distribution data corresponding to other operating areas is used as the model output in the model training process.

[0150] The beneficial effects of the above technologies are: introducing artificial intelligence algorithms to achieve accurate analysis of the changing trends of electric vehicle distribution data in each operating area.

[0151] Example 10:

[0152] The present invention provides a mobile charging vehicle site planning system, which is used to execute the mobile charging vehicle site planning method described in any one of Embodiments 1 to 9, including:

[0153] A location data acquisition module, used to obtain location data of all pre-registered electric vehicles in a historical period;

[0154] Distribution data acquisition module, used to obtain electric vehicle distribution data in all operating areas within the historical period;

[0155] A call record acquisition module is used to obtain all call records received by all operational mobile charging vehicles in a historical period, wherein the call records include the initiation time, registration information, and location of the electric vehicle that initiated the call record;

[0156] The station strategy planning module is used to generate the initial station planning strategy of the mobile charging vehicle based on all call records received by all operational mobile charging vehicles in the historical period, the location data of all pre-registered electric vehicles in the historical period, and the electric vehicle distribution data of all operating areas in the historical period.

[0157] The beneficial effects of the above technology are: based on all call records received by all operational mobile charging vehicles in the historical period, the location data of all pre-registered electric vehicles in the historical period, and the electric vehicle distribution data of all operating areas in the historical period, the initial stations of all operational mobile charging vehicles in all operating areas are reasonably planned, which reduces the user's waiting time and waiting cost, improves user satisfaction and loyalty, reduces the power loss of mobile charging vehicles during the movement process, reduces the company's operating costs, improves the order completion efficiency and overall service efficiency of all operational mobile charging vehicles, and thus improves the company's profitability.

[0158] Obviously, those skilled in the art may make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if such changes and modifications fall within the scope of the claims and their equivalents, the present invention is intended to include such changes and modifications.

Claims

1. A method for planning a location for a mobile charging vehicle, characterized in that: include: S1: Obtain the location data of all pre-registered electric vehicles in the historical period; S2: Obtain electric vehicle distribution data for all operating areas during the historical period; S3: Obtain all call records received by all operational mobile charging vehicles in the historical period, where the call records include the initiation time, registration information, and location of the electric vehicle that initiated the call record; S4: Determine the total number of electric vehicles in each operating area at each historical moment in the historical period based on the electric vehicle distribution data of all operating areas during the historical period. Simultaneously, determine the total number of pre-registered electric vehicles in each operating area at each historical moment in the historical period based on the pre-registered electric vehicle distribution data of all operating areas during the historical period. Subtract the total number of electric vehicles in each operating area during the historical period from the total number of pre-registered electric vehicles to obtain the total number of non-pre-registered electric vehicles in each operating area at each historical moment during the historical period; Based on the distribution data of pre-registered electric vehicles in each operating area during the historical period, determine the total number of pre-registered electric vehicles in each operating area at each historical moment during the historical period; Based on the initiation time, registration information, and location of the electric vehicle that initiated the corresponding call record in all call records received by all operational mobile charging vehicles in the historical period, the total number of call records belonging to each operating area and corresponding to the electric vehicle as a pre-registered electric vehicle is determined from all call records received at each historical moment in the historical period, and the total number of pre-registered call records received in each operating area at each historical moment in the historical period; At the same time, the total number of call records corresponding to electric vehicles that are non-pre-registered electric vehicles in each operating area is determined, and is used as the total number of non-pre-registered call records received at each historical moment in the historical period of each operating area; Based on the total number of pre-registration call records and non-pre-registration call records received by each operating area at each historical moment during the historical period, as well as the total number of pre-registered electric vehicles and non-pre-registered electric vehicles at each historical moment during the historical period in each operating area, the comprehensive pre-registration demand ratio and comprehensive non-pre-registration demand ratio of each operating area are analyzed; Based on the comprehensive pre-registration demand ratio and the comprehensive non-pre-registration demand ratio of each operating area, an initial station planning strategy for mobile charging vehicles is generated.

2. The method for planning a location for a mobile charging vehicle according to claim 1, wherein: S1: Obtain the location data of all pre-registered electric vehicles in the historical period, including: S101: Obtaining location access permissions from all pre-registered electric vehicles; S102: Based on the acquired location acquisition authority of all pre-registered electric vehicles, the location data of all pre-registered electric vehicles in the historical period are acquired.

3. The method for planning a location for a mobile charging vehicle according to claim 1, wherein: S2: Obtain electric vehicle distribution data for all operating areas over a historical period, including: S201: Determine the total number of electric vehicles in each operating area at each historical moment during the historical period; S202: Summarize the total number of electric vehicles in all operating areas at a single historical moment in the historical period to obtain sub-electric vehicle distribution data for all operating areas at a single historical moment in the historical period; S203: Sort the sub-electric vehicle distribution data of all operating areas at all historical moments in a historical period in time sequence to obtain the electric vehicle distribution data of all operating areas in the historical period.

4. The method for planning a location for a mobile charging vehicle according to claim 1, wherein: Based on the total number of pre-registered call records and non-pre-registered call records received by each operating area at each historical moment during the historical period, as well as the total number of pre-registered electric vehicles and non-pre-registered electric vehicles at each historical moment during the historical period in each operating area, the comprehensive pre-registration demand ratio and comprehensive non-pre-registration demand ratio of each operating area are analyzed, including: The ratio of the total number of pre-registration call records received by each operating area at each historical moment in the historical period to the total number of pre-registered electric vehicles in the corresponding operating area at the corresponding historical moment in the historical period shall be regarded as the pre-registration demand ratio of each operating area at each historical moment in the historical period; The ratio of the total number of non-pre-registered call records received by each operating area at each historical moment in the historical period to the total number of non-pre-registered electric vehicles in the corresponding operating area at the corresponding historical moment in the historical period shall be regarded as the non-pre-registration demand ratio of each operating area at each historical moment in the historical period; The debiased mean of the pre-registration demand ratios of each operating region at all historical moments in the historical period is taken as the comprehensive pre-registration demand ratio of each operating region; The debiased mean of the non-pre-registration demand ratio of each operating area at all historical moments in the historical period is taken as the comprehensive non-pre-registration demand ratio of each operating area.

5. The method for planning a location for a mobile charging vehicle according to claim 1, wherein: Based on the comprehensive pre-registration demand ratio and the comprehensive non-pre-registration demand ratio of each operating area, an initial mobile charging vehicle station planning strategy is generated, including: Analyze the changing trend of electric vehicle distribution data in each operating area based on the electric vehicle distribution data of all operating areas in the historical period; Based on the changing trend of electric vehicle distribution data in each operating area, the maximum number of pre-registered electric vehicles and the maximum number of non-pre-registered electric vehicles per unit time in each operating area within the future planning period are predicted; The product of the maximum total number of pre-registered electric vehicles per unit time in each operating area in the future planning period and the comprehensive pre-registered demand ratio shall be regarded as the maximum direct demand per unit time in each operating area in the future planning period; The product of the maximum total number of non-pre-registered electric vehicles per unit time in each operating area in the future planning period and the comprehensive non-pre-registered demand ratio is regarded as the maximum potential demand per unit time in each operating area in the future planning period; The maximum direct demand per unit time and the maximum potential demand per unit time of all operating areas in the future planning period as well as the total number of all operational mobile charging vehicles are input into the initial station planning model to obtain the initial station planning strategy for mobile charging vehicles.

6. The method for planning a location for a mobile charging vehicle according to claim 4, wherein: Based on the electric vehicle distribution data of all operating regions in the historical period, the changing trend of electric vehicle distribution data in each operating region is analyzed, including: The electric vehicle distribution data of all operating areas in the historical period are input into the change trend analysis model to obtain the change trend of the electric vehicle distribution data of each operating area.

7. A mobile charging vehicle station planning system, characterized in that: A method for executing a site planning method for a mobile charging vehicle according to any one of claims 1 to 6, comprising: A location data acquisition module, used to obtain location data of all pre-registered electric vehicles in a historical period; Distribution data acquisition module, used to obtain electric vehicle distribution data in all operating areas within the historical period; A call record acquisition module is used to obtain all call records received by all operational mobile charging vehicles in a historical period, wherein the call records include the initiation time, registration information, and location of the electric vehicle that initiated the call record; The station strategy planning module is used to generate the initial station planning strategy of the mobile charging vehicle based on all call records received by all operational mobile charging vehicles in the historical period, the location data of all pre-registered electric vehicles in the historical period, and the electric vehicle distribution data of all operating areas in the historical period.

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