Order processing method and system

Abstract

The present invention provides an order processing method and system, including: obtaining a charging order issued by an electric vehicle owner, determining the remaining power information and charging demand information of the corresponding electric vehicle, configuring a corresponding charging priority for the electric vehicle, establishing order information corresponding to the electric vehicle, transmitting the order information to a mobile charging vehicle management platform, allocating a corresponding mobile charging vehicle to the order information according to the work preference corresponding to each charging vehicle, determining a priority charging time period corresponding to the electric vehicle according to the order information, controlling the corresponding mobile charging vehicle to charge the electric vehicle within the priority charging time period, and controlling the mobile charging vehicle with charging conditions to charge the electric vehicle within the time period specified by the owner or the time period preferred by the owner according to the order issued by the owner, thereby realizing an automated charging and power-off process, improving charging efficiency, and improving the owner's experience.

Description

Technical Field

[0001] The present invention relates to the technical field of electric vehicle charging control, and in particular to an order processing method and system. Background Art

[0002] As the world's environmental problems and energy crises become increasingly prominent, people have long been looking for cars that are pollution-free or less polluting. Against this backdrop, the future development of new energy electric vehicles has become inevitable. On the other hand, with the development of electric vehicles, the difficulty and inconvenience of charging electric vehicles have become increasingly prominent. In order to solve this problem of charging difficulty, electric mobile charging vehicles have emerged, which can flexibly and maneuverably provide users with convenient charging services.

[0003] The emergence of mobile charging vehicles has effectively increased the convenience and availability of electric vehicles, and promoted the sustainable development of cities and the use of clean energy. However, there are also some problems: 1. There are many types of electric vehicles on the market. Before using a mobile charging vehicle, you need to select a suitable mobile charging vehicle according to the charging mode of the electric vehicle. 2. The mobile charging vehicle needs to be charged under manual control. 3. The charging waiting time is long, and the power cannot be cut off in time after charging is completed. These problems continue to plague the managers of mobile charging vehicles. The managers need to spend a lot of energy on charging management, and they cannot take into account the preferences of all car owners during charging, so the car owners have a low sense of experience.

[0004] Therefore, the present invention provides an order processing method and system. Summary of the invention

[0005] The present invention provides an order processing method and system, which can control a mobile charging vehicle with charging conditions to charge an electric vehicle within a time period specified by the car owner or a time period preferred by the car owner according to an order issued by the car owner, thereby realizing an automated charging and power-off process, improving charging efficiency, and enhancing the car owner's experience.

[0006] The present invention provides an order processing method, comprising:

[0007] Step 1: Obtain a charging order issued by an electric vehicle owner, and determine the remaining power information and charging demand information of the corresponding electric vehicle according to the charging order;

[0008] Step 2: configuring corresponding charging priority for the electric vehicle based on the remaining power information and the charging demand information, and establishing order information for the corresponding electric vehicle;

[0009] Step 3: Transmitting the order information to the mobile charging vehicle management platform, and the mobile charging vehicle management platform assigns a corresponding mobile charging vehicle to the order information according to the work preference corresponding to each mobile charging vehicle;

[0010] Step 4: Determine the priority charging time period of the corresponding electric vehicle according to the order information, and control the corresponding mobile charging vehicle to charge the electric vehicle within the priority charging time period.

[0011] In one practicable manner,

[0012] Also includes:

[0013] Matching a corresponding mobile charging vehicle to each electric vehicle according to the priority charging time period corresponding to each electric vehicle;

[0014] Obtain idle electric vehicles that are not matched with mobile charging vehicles, and obtain the idle time period corresponding to each of the mobile charging vehicles;

[0015] A target mobile charging vehicle corresponding to a target idle time period with the smallest time difference with the priority charging time period is retrieved, and the idle electric vehicle is charged during the target idle time period.

[0016] In one practicable manner,

[0017] The step 1 comprises:

[0018] Step 11: When the owner of the electric vehicle issues a charging instruction, the location of the electric vehicle to be charged is obtained, and a charging order is generated in combination with the charging mode of the electric vehicle;

[0019] Step 12: Use a natural language processing model to perform intent analysis on the charging order to obtain the charging intention semantics of the electric vehicle owner, and establish charging demand information of the electric vehicle according to the charging intention semantics;

[0020] Step 13: Filter basic vehicle information in the charging order, and establish remaining power information of the electric vehicle according to the basic vehicle information.

[0021] In one practicable manner,

[0022] The step 2 comprises:

[0023] Step 21: Generate a number of order keywords based on the remaining power information and the charging demand information, match each order keyword with a corresponding order dimension, build a portrait framework according to the association form and logical relationship between different order dimensions, and input each order keyword into the portrait framework to generate a user portrait of the charging order;

[0024] Step 22: Establish the remaining waiting time of the corresponding electric vehicle according to the remaining power information, establish the charging basic conditions of the corresponding electric vehicle according to the charging demand information, use the charging basic conditions to perform preference mining on the user portrait, obtain several preferred charging time periods of the corresponding electric vehicle owner, and search for executable preferred charging time periods that match the corresponding remaining waiting time;

[0025] Step 23: Searching for a fast charging order with an expedited feature, matching the fast charging order with a corresponding expedited level based on the expedited feature value corresponding to the expedited feature, establishing a sequence priority for each electric vehicle based on the time sequence of the executable preferred charging time period corresponding to each electric vehicle, and establishing a charging priority for the corresponding electric vehicle in combination with the corresponding expedited level;

[0026] Step 24: Analyze the charging execution standards corresponding to each of the charging basic conditions, construct a mobile charging vehicle screening plan based on the charging execution standards, and generate corresponding charging precautions according to the charging basic conditions. Establish order information for the corresponding electric vehicle based on the charging priority, mobile charging vehicle screening plan and charging precautions corresponding to the same electric vehicle.

[0027] In one practicable manner,

[0028] The step 3 comprises:

[0029] Step 31: Transmitting the order information to the mobile charging vehicle management platform, setting a charging deadline for the corresponding order information according to the charging priority corresponding to each order information, sorting the order information according to the charging deadline, and generating a countdown information queue;

[0030] Step 32: Acquire the real-time data generated by the mobile charging vehicle management platform, estimate the waiting time period corresponding to each mobile charging vehicle according to the real-time data, construct a time tag, and search for the work preference characteristics corresponding to each mobile charging vehicle in the mobile charging vehicle management platform;

[0031] Step 33: setting corresponding charging condition features for each of the order information according to the order salient features corresponding to each of the order information, performing a first match between the charging condition features and the work preference features, obtaining a plurality of first matching mobile charging vehicles corresponding to each of the charging orders, establishing an order sorting method according to the countdown information queue, and sorting the first matching mobile charging vehicles based on the order sorting method to generate a charging vehicle information queue;

[0032] Step 34: Compare the time of the charging vehicle information queue and the countdown information queue according to the time tag, obtain several second matching mobile charging vehicles whose time tags match the countdown information queue in the charging vehicle information queue, perform a third match on the remaining power and remaining power information of the second matching mobile charging vehicles corresponding to the same order information, and match the corresponding mobile charging vehicle for each order information according to the matching result.

[0033] In one practicable manner,

[0034] The step 4 comprises:

[0035] Step 41: searching for the time information contained in the order information, constructing the priority charging time period of the electric vehicle, searching for the geographic information contained in the order information, constructing the geographic location of the electric vehicle, and obtaining the storage location of the corresponding mobile charging vehicle;

[0036] Step 42: constructing a moving path of the mobile charging vehicle according to the geographical location and the storage location, sending the moving path to the mobile charging vehicle to establish a moving control plan, and estimating the moving time of the mobile charging vehicle to reach the corresponding geographical location;

[0037] Step 43: Determine the departure time of the mobile charging vehicle according to the moving duration and the corresponding priority charging time period, and control the mobile charging vehicle to arrive at the geographical location to charge the electric vehicle at the departure time according to the movement control scheme.

[0038] In one practicable manner,

[0039] Also includes:

[0040] Analyzing the qualified time period for completing charging of the electric vehicle according to the remaining power information corresponding to each electric vehicle and the corresponding priority charging time period;

[0041] Determine the working stop time of the corresponding mobile charging vehicle based on the qualified time period, and simultaneously obtain the remaining power corresponding to the mobile charging vehicle;

[0042] Find a qualified mobile charging vehicle with a remaining power higher than the target power, generate continued work information in combination with the corresponding qualified work rest time, and feed the continued work information back to the mobile charging vehicle management platform.

[0043] In one practicable manner,

[0044] Also includes:

[0045] Find an unqualified mobile charging vehicle whose remaining power is not higher than the target power, and control the unqualified mobile charging vehicle to arrive at the charging area for charging;

[0046] Acquire real-time charging data corresponding to the unqualified charging vehicle, analyze the estimated charging completion time corresponding to the unqualified charging vehicle based on the real-time charging data, establish the waiting work information of the unqualified mobile charging vehicle and feed it back to the mobile charging vehicle management platform.

[0047] The present invention provides an order processing system, comprising:

[0048] An order analysis module is used to obtain a charging order issued by an electric vehicle owner, and determine the remaining power information and charging demand information of the corresponding electric vehicle according to the charging order;

[0049] A priority configuration module, configured to configure corresponding charging priorities for the electric vehicle based on the remaining power information and the charging demand information, and to establish order information for the corresponding electric vehicle;

[0050] A charging management module, used to transmit the order information to a mobile charging vehicle management platform, and the mobile charging vehicle management platform allocates a corresponding mobile charging vehicle to the order information according to the work preference corresponding to each mobile charging vehicle;

[0051] The charging execution module is used to determine the priority charging time period of the corresponding electric vehicle according to the order information, and control the corresponding mobile charging vehicle to charge the electric vehicle within the priority charging time period.

[0052] In one practicable manner,

[0053] The priority configuration module includes:

[0054] A portrait construction unit, configured to generate a plurality of order keywords based on the remaining power information and the charging demand information, match each of the order keywords with a corresponding order dimension, construct a portrait framework according to the association form and logical relationship between different order dimensions, and input each of the order keywords into the portrait framework to generate a user portrait of the charging order;

[0055] a preference analysis unit, configured to establish a remaining waiting time of the corresponding electric vehicle according to the remaining power information, establish a basic charging condition corresponding to the electric vehicle according to the charging demand information, perform preference mining on the user portrait using the basic charging condition, obtain a number of preferred charging time periods of the corresponding electric vehicle owner, and search for an executable preferred charging time period that matches the corresponding remaining waiting time;

[0056] a priority determination unit, configured to search for a fast charging order containing an expedited feature, match a corresponding expedited level for the fast charging order based on an expedited feature value corresponding to the expedited feature, establish a sequence priority for each of the electric vehicles based on a time sequence of the executable preferred charging time periods corresponding to each of the electric vehicles, and establish a charging priority for the corresponding electric vehicle in combination with the corresponding expedited level;

[0057] The order establishment unit is used to analyze the charging execution standard corresponding to each of the charging basic conditions, build a mobile charging vehicle screening plan based on the charging execution standard, and generate corresponding charging precautions according to the charging basic conditions, and establish order information for the corresponding electric vehicle based on the charging priority, mobile charging vehicle screening plan and charging precautions corresponding to the same electric vehicle.

[0058] The achievable beneficial effects of the above technical solution are as follows: in order to efficiently charge electric vehicles, when the owner places a charging order, the remaining power information and charging demand information of the electric vehicle are determined according to the order, and then the corresponding charging priority is matched for the electric vehicle, thereby constructing order information, and further in the mobile charging vehicle management platform, different mobile charging vehicles are assigned to each order according to the working preferences of different mobile charging vehicles, and the priority charging time period of each electric vehicle is analyzed, and then the mobile charging vehicle is controlled to charge the electric vehicle in the corresponding time period. Through the above technical means, not only can the electric vehicle be charged, but also the mobile charging vehicles can be uniformly managed. Through unified management, a suitable mobile charging vehicle can be matched for each electric vehicle, which can ensure that the charging is completed at one time within the priority charging time period, avoiding charging interruption due to power failure of the mobile charging vehicle, and giving priority to matching the time period selected by the owner during charging or adjusting the charging time period according to the idle time of the mobile charging vehicle. On the basis of improving the charging efficiency, the owner's experience is improved and the waiting time for the owner to charge is reduced.

[0059] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures particularly pointed out in the written description, claims, and drawings.

[0060] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0061] 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:

[0062] Figure 1 A schematic diagram of a workflow of an order processing method in an embodiment of the present invention;

[0063] Figure 2 The figure is a schematic diagram of the composition of an order processing system in an embodiment of the present invention. DETAILED DESCRIPTION

[0064] The preferred embodiments of the present invention are described below in conjunction with 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.

[0065] Example 1

[0066] This embodiment provides an order processing method, such as Figure 1 As shown, including:

[0067] Step 1: Obtain a charging order issued by an electric vehicle owner, and determine the remaining power information and charging demand information of the corresponding electric vehicle according to the charging order;

[0068] Step 2: configuring corresponding charging priority for the electric vehicle based on the remaining power information and the charging demand information, and establishing order information for the corresponding electric vehicle;

[0069] Step 3: Transmitting the order information to the mobile charging vehicle management platform, and the mobile charging vehicle management platform assigns a corresponding mobile charging vehicle to the order information according to the work preference corresponding to each mobile charging vehicle;

[0070] Step 4: Determine the priority charging time period of the corresponding electric vehicle according to the order information, and control the corresponding mobile charging vehicle to charge the electric vehicle within the priority charging time period.

[0071] In this example, the remaining power information indicates the remaining power of the electric vehicle;

[0072] In this example, the charging demand information indicates the conditions that need to be met when charging the electric vehicle and the charging time period expected by the owner. For example, an electric vehicle requires a charging power of 7 kW, and the owner expects to charge the vehicle during sleep at night.

[0073] In this example, the charging priority indicates the priority charging order set for the electric vehicles according to the remaining power of each electric vehicle and the owner's desired charging time;

[0074] In this example, the mobile charging vehicle management platform refers to a platform for managing the work of the mobile charging vehicle, which can manage the work, charging and repair of the mobile charging vehicle;

[0075] In this example, the priority charging time period indicates the best charging time period for electric vehicles during this period, that is, the time period specified by the owner or the time period when the mobile charging vehicles are more idle;

[0076] In this example, the work preference indicates an efficient charging method of a mobile charging vehicle. For example, a mobile charging vehicle is prepared in the morning and works in the afternoon. Then, when an electric vehicle is charged in the afternoon, the mobile charging vehicle can be preferentially selected.

[0077] The working principle and beneficial effects of the above technical solution: In order to charge electric vehicles efficiently, when the owner places a charging order, the remaining power information and charging demand information of the electric vehicle are determined according to the order, and then the corresponding charging priority is matched for the electric vehicle, thereby constructing the order information, and further in the mobile charging vehicle management platform, different mobile charging vehicles are assigned to each order according to the working preferences of different mobile charging vehicles, and the priority charging time period of each electric vehicle is analyzed, and then the mobile charging vehicle is controlled to charge the electric vehicle in the corresponding time period. Through the above technical means, not only can the electric vehicles be charged, but also the mobile charging vehicles can be uniformly managed. Through unified management, a suitable mobile charging vehicle can be matched for each electric vehicle, which can ensure that the charging is completed in one time within the priority charging time period, avoiding charging interruption due to power failure of the mobile charging vehicle, and giving priority to matching the time period selected by the owner during charging or adjusting the charging time period according to the idle time of the mobile charging vehicle. On the basis of improving the charging efficiency, the owner's experience is improved and the waiting time for the owner to charge is reduced.

[0078] Example 2

[0079] Based on Example 1, the order processing method further includes:

[0080] Matching a corresponding mobile charging vehicle to each electric vehicle according to the priority charging time period corresponding to each electric vehicle;

[0081] Obtain idle electric vehicles that are not matched with mobile charging vehicles, and obtain the idle time period corresponding to each of the mobile charging vehicles;

[0082] A target mobile charging vehicle corresponding to a target idle time period with the smallest time difference with the priority charging time period is retrieved, and the idle electric vehicle is charged during the target idle time period.

[0083] In this example, the idle electric vehicle refers to an electric vehicle that cannot be powered during its priority charging period.

[0084] The working principle and beneficial effects of the above technical solution: In order to avoid the problem of uneven distribution of mobile charging vehicles during peak charging periods, when electric vehicles cannot be charged during priority charging periods, alternative charging periods are selected in advance to charge them to avoid charging omissions.

[0085] Example 3

[0086] On the basis of Example 1, the order processing method, step 1, comprises:

[0087] Step 11: When the owner of the electric vehicle issues a charging instruction, the location of the electric vehicle to be charged is obtained, and a charging order is generated in combination with the charging mode of the electric vehicle;

[0088] Step 12: Use a natural language processing model to perform intent analysis on the charging order to obtain the charging intention semantics of the electric vehicle owner, and establish charging demand information of the electric vehicle according to the charging intention semantics;

[0089] Step 13: Filter basic vehicle information in the charging order, and establish remaining power information of the electric vehicle according to the basic vehicle information.

[0090] In this example, the car owner can issue charging instructions online.

[0091] The working principle and beneficial effects of the above technical solution are as follows: when the car owner issues a charging instruction, a charging order is generated according to the location of the electric car and its corresponding charging mode, and then its charging demand information and remaining power information are analyzed, which lays the foundation for the subsequent allocation of mobile charging vehicles.

[0092] Example 4

[0093] Based on Example 1, the order processing method, step 2, includes:

[0094] Step 21: Generate a number of order keywords based on the remaining power information and the charging demand information, match each order keyword with a corresponding order dimension, build a portrait framework according to the association form and logical relationship between different order dimensions, and input each order keyword into the portrait framework to generate a user portrait of the charging order;

[0095] Step 22: Establish the remaining waiting time of the corresponding electric vehicle according to the remaining power information, establish the charging basic conditions of the corresponding electric vehicle according to the charging demand information, use the charging basic conditions to perform preference mining on the user portrait, obtain several preferred charging time periods of the corresponding electric vehicle owner, and search for executable preferred charging time periods that match the corresponding remaining waiting time;

[0096] Step 23: Searching for a fast charging order with an expedited feature, matching the fast charging order with a corresponding expedited level based on the expedited feature value corresponding to the expedited feature, establishing a sequence priority for each electric vehicle based on the time sequence of the executable preferred charging time period corresponding to each electric vehicle, and establishing a charging priority for the corresponding electric vehicle in combination with the corresponding expedited level;

[0097] Step 24: Analyze the charging execution standards corresponding to each of the charging basic conditions, construct a mobile charging vehicle screening plan based on the charging execution standards, and generate corresponding charging precautions according to the charging basic conditions. Establish order information for the corresponding electric vehicle based on the charging priority, mobile charging vehicle screening plan and charging precautions corresponding to the same electric vehicle.

[0098] In this example, the order keyword indicates a keyword in the remaining power information and the charging demand information;

[0099] In this example, the order dimension represents the dimension described by the order keyword;

[0100] In this example, the association form represents the external relationship between different order dimensions, and the logical relationship represents the internal relationship between different order dimensions;

[0101] In this example, the user portrait represents the result of information used to describe the owner of the car and the electric car;

[0102] In this example, the charging basic conditions represent the conditions that need to be performed to charge the electric vehicle;

[0103] In this example, the preferred charging time period indicates the charging time period set in advance by the vehicle owner;

[0104] In this example, the executable preferred charging time period indicates a time period during which charging can be performed;

[0105] In this example, the expedited characteristic value indicates the duration of the expedited charging, for example: expedited charging takes 3 hours.

[0106] The working principle and beneficial effects of the above technical solution are as follows: a user portrait is constructed by analyzing the logical relationship and association form of order keywords in the remaining power information and charging demand information, and then the user portrait is subjected to preference mining using the basic charging conditions of electric vehicles. The executable preferred charging time period is determined in combination with the remaining waiting time of the electric vehicle. For electric vehicles that require expedited charging, the sequence priority is adjusted according to the expedited level to obtain the charging priority of each electric vehicle. Then, a mobile charging vehicle screening solution and charging precautions for electric vehicles are constructed, and the order information of electric vehicles is constructed in combination with the corresponding charging priority. In this way, a comprehensive analysis of the demand for electric vehicles can be conducted, an effective charging priority can be constructed, different analyses can be conducted for different vehicles, and a usable order information can be generated.

[0107] Example 5

[0108] Based on Example 1, the order processing method, step 3, includes:

[0109] Step 31: Transmitting the order information to the mobile charging vehicle management platform, setting a charging deadline for the corresponding order information according to the charging priority corresponding to each order information, sorting the order information according to the charging deadline, and generating a countdown information queue;

[0110] Step 32: Acquire the real-time data generated by the mobile charging vehicle management platform, estimate the waiting time period corresponding to each mobile charging vehicle according to the real-time data, construct a time tag, and search for the work preference characteristics corresponding to each mobile charging vehicle in the mobile charging vehicle management platform;

[0111] Step 33: setting corresponding charging condition features for each of the order information according to the order salient features corresponding to each of the order information, performing a first match between the charging condition features and the work preference features, obtaining a plurality of first matching mobile charging vehicles corresponding to each of the charging orders, establishing an order sorting method according to the countdown information queue, and sorting the first matching mobile charging vehicles based on the order sorting method to generate a charging vehicle information queue;

[0112] Step 34: Compare the time of the charging vehicle information queue and the countdown information queue according to the time tag, obtain several second matching mobile charging vehicles whose time tags match the countdown information queue in the charging vehicle information queue, perform a third match on the remaining power and remaining power information of the second matching mobile charging vehicles corresponding to the same order information, and match the corresponding mobile charging vehicle for each order information according to the matching result.

[0113] In this example, the charging cut-off time indicates the time when the electric vehicle leaves the charging area;

[0114] In this example, the countdown information queue represents the result of sorting the order information in the order from the nearest to the furthest charging deadline;

[0115] In this example, the first matching represents the process of matching the charging condition feature with the work preference feature, that is, screening the mobile charging vehicles that meet the charging conditions;

[0116] In this example, the first matching mobile charging vehicle represents a mobile charging vehicle that meets the charging condition characteristics;

[0117] In this example, the charging vehicle information queue represents the working order of the mobile charging vehicles constructed according to the order in which the electric vehicles are charged;

[0118] In this example, the second matching represents a process of screening mobile charging vehicles that have a charging execution time;

[0119] In this example, the third match represents screening of mobile charging vehicles whose remaining power is sufficient to charge the electric vehicle.

[0120] The working principle and beneficial effects of the above technical solution are as follows: in order to enable each electric vehicle to complete charging within the effective time, the charging cut-off time of the electric vehicle is first determined according to the order information, thereby establishing a countdown information queue, and then the waiting time period of each mobile charging vehicle is estimated according to the real-time data in the mobile charging vehicle management platform, and the working preference characteristics of each mobile charging vehicle are analyzed, and the charging condition characteristics of each electric vehicle are further set. Through multiple rounds of matching and screening, the mobile charging vehicle that matches each order information is selected. In this way, not only can the charging be completed before the electric charging vehicle leaves the charging area, but also the working efficiency of the mobile charging vehicle can be improved to avoid the phenomenon of waiting too long or insufficient charging.

[0121] Example 6

[0122] Based on Example 1, the order processing method, step 4, includes:

[0123] Step 41: searching for the time information contained in the order information, constructing the priority charging time period of the electric vehicle, searching for the geographical information contained in the order information, constructing the geographical location of the electric vehicle, and obtaining the storage location of the corresponding mobile charging vehicle;

[0124] Step 42: constructing a moving path of the mobile charging vehicle according to the geographical location and the storage location, sending the moving path to the mobile charging vehicle to establish a moving control plan, and estimating the moving time of the mobile charging vehicle to reach the corresponding geographical location;

[0125] Step 43: Determine the departure time of the mobile charging vehicle according to the moving duration and the corresponding priority charging time period, and control the mobile charging vehicle to arrive at the geographical location to charge the electric vehicle at the departure time according to the movement control scheme.

[0126] The working principle and beneficial effects of the above technical solution are as follows: the priority charging time period for electric vehicles is constructed based on the time information in the order information, the geographical location of the electric vehicle is constructed based on the geographical information therein, a moving path is created in combination with the storage location of the mobile charging vehicle, and a departure plan is specified in combination with the moving time of the mobile charging vehicle, so as to arrive at the location of the electric vehicle at the specified time and charge it. In this way, not only the charging work can be completed, but also the waiting time of the mobile charging vehicle can be shortened, thereby reducing the waiting time of the following vehicles.

[0127] Example 7

[0128] Based on Example 1, the order processing method further includes:

[0129] Analyzing the qualified time period for completing charging of the electric vehicle according to the remaining power information corresponding to each electric vehicle and the corresponding priority charging time period;

[0130] Determine the working stop time of the corresponding mobile charging vehicle based on the qualified time period, and simultaneously obtain the remaining power corresponding to the mobile charging vehicle;

[0131] Find a qualified mobile charging vehicle with a remaining power higher than the target power, generate continued work information in combination with the corresponding qualified work rest time, and feed the continued work information back to the mobile charging vehicle management platform.

[0132] In this example, the target power level is 65%.

[0133] The working principle and beneficial effects of the above technical solution are as follows: the information of the mobile charging vehicle is fed back to the mobile charging vehicle management platform in real time, which can be managed uniformly within a time limit, and the next work assignment for the mobile charging vehicle can be made in the platform.

[0134] Example 8

[0135] Based on Example 7, the order processing method further includes:

[0136] Find an unqualified mobile charging vehicle whose remaining power is not higher than the target power, and control the unqualified mobile charging vehicle to arrive at the charging area for charging;

[0137] Acquire real-time charging data corresponding to the unqualified charging vehicle, analyze the estimated charging completion time corresponding to the unqualified charging vehicle based on the real-time charging data, establish the waiting work information of the unqualified mobile charging vehicle and feed it back to the mobile charging vehicle management platform.

[0138] The working principle and beneficial effects of the above technical solution are as follows: the charging information of the mobile charging vehicle is fed back to the mobile charging vehicle management platform, and the mobile charging vehicle management platform can assign new charging tasks to it according to its estimated completion time, thereby improving the efficiency of subsequent work.

[0139] Example 9

[0140] This example provides an order processing system. Figure 2 As shown, including:

[0141] An order analysis module is used to obtain a charging order issued by an electric vehicle owner, and determine the remaining power information and charging demand information of the corresponding electric vehicle according to the charging order;

[0142] A priority configuration module, configured to configure corresponding charging priorities for the electric vehicle based on the remaining power information and the charging demand information, and to establish order information for the corresponding electric vehicle;

[0143] A charging management module, used to transmit the order information to a mobile charging vehicle management platform, and the mobile charging vehicle management platform allocates a corresponding mobile charging vehicle to the order information according to the work preference corresponding to each mobile charging vehicle;

[0144] The charging execution module is used to determine the priority charging time period of the corresponding electric vehicle according to the order information, and control the corresponding mobile charging vehicle to charge the electric vehicle within the priority charging time period.

[0145] In this example, the remaining power information indicates the remaining power of the electric vehicle;

[0146] In this example, the charging demand information indicates the conditions that need to be met when charging the electric vehicle and the charging time period expected by the owner. For example, an electric vehicle requires a charging power of 7 kW, and the owner expects to charge the vehicle during sleep at night.

[0147] In this example, the charging priority indicates the priority charging order set for the electric vehicles according to the remaining power of each electric vehicle and the owner's desired charging time;

[0148] In this example, the mobile charging vehicle management platform refers to a platform for managing the work of the mobile charging vehicle, which can manage the work, charging and repair of the mobile charging vehicle;

[0149] In this example, the priority charging time period indicates the best charging time period for electric vehicles during this period, that is, the time period specified by the owner or the time period when the mobile charging vehicles are more idle;

[0150] In this example, the work preference indicates an efficient charging method of a mobile charging vehicle. For example, a mobile charging vehicle is prepared in the morning and works in the afternoon. Then, when an electric vehicle is charged in the afternoon, the mobile charging vehicle can be preferentially selected.

[0151] The working principle and beneficial effects of the above technical solution: In order to charge electric vehicles efficiently, when the owner places a charging order, the remaining power information and charging demand information of the electric vehicle are determined according to the order, and then the corresponding charging priority is matched for the electric vehicle, thereby constructing the order information, and further in the mobile charging vehicle management platform, different mobile charging vehicles are assigned to each order according to the working preferences of different mobile charging vehicles, and the priority charging time period of each electric vehicle is analyzed, and then the mobile charging vehicle is controlled to charge the electric vehicle in the corresponding time period. Through the above technical means, not only can the electric vehicles be charged, but also the mobile charging vehicles can be uniformly managed. Through unified management, a suitable mobile charging vehicle can be matched for each electric vehicle, which can ensure that the charging is completed in one time within the priority charging time period, avoiding charging interruption due to power failure of the mobile charging vehicle, and giving priority to matching the time period selected by the owner during charging or adjusting the charging time period according to the idle time of the mobile charging vehicle. On the basis of improving the charging efficiency, the owner's experience is improved and the waiting time for the owner to charge is reduced.

[0152] Example 10

[0153] Based on Example 9, the order processing system, the priority configuration module includes:

[0154] A portrait construction unit, configured to generate a plurality of order keywords based on the remaining power information and the charging demand information, match each of the order keywords with a corresponding order dimension, construct a portrait framework according to the association form and logical relationship between different order dimensions, and input each of the order keywords into the portrait framework to generate a user portrait of the charging order;

[0155] a preference analysis unit, configured to establish a remaining waiting time of the corresponding electric vehicle according to the remaining power information, establish a basic charging condition corresponding to the electric vehicle according to the charging demand information, perform preference mining on the user portrait using the basic charging condition, obtain a number of preferred charging time periods of the corresponding electric vehicle owner, and search for an executable preferred charging time period that matches the corresponding remaining waiting time;

[0156] a priority determination unit, configured to search for a fast charging order containing an expedited feature, match a corresponding expedited level for the fast charging order based on an expedited feature value corresponding to the expedited feature, establish a sequence priority for each of the electric vehicles based on a time sequence of the executable preferred charging time periods corresponding to each of the electric vehicles, and establish a charging priority for the corresponding electric vehicle in combination with the corresponding expedited level;

[0157] The order establishment unit is used to analyze the charging execution standard corresponding to each of the charging basic conditions, build a mobile charging vehicle screening plan based on the charging execution standard, and generate corresponding charging precautions according to the charging basic conditions, and establish order information for the corresponding electric vehicle based on the charging priority, mobile charging vehicle screening plan and charging precautions corresponding to the same electric vehicle.

[0158] In this example, the order keyword indicates a keyword in the remaining power information and the charging demand information;

[0159] In this example, the order dimension represents the dimension described by the order keyword;

[0160] In this example, the association form represents the external relationship between different order dimensions, and the logical relationship represents the internal relationship between different order dimensions;

[0161] In this example, the user portrait represents the result of information used to describe the owner of the car and the electric car;

[0162] In this example, the charging basic conditions represent the conditions that need to be performed to charge the electric vehicle;

[0163] In this example, the preferred charging time period indicates the charging time period set in advance by the vehicle owner;

[0164] In this example, the executable preferred charging time period indicates a time period during which charging can be performed;

[0165] In this example, the expedited characteristic value indicates the duration of the expedited charging, for example: expedited charging takes 3 hours.

[0166] The working principle and beneficial effects of the above technical solution are as follows: a user portrait is constructed by analyzing the logical relationship and association form of order keywords in the remaining power information and charging demand information, and then the user portrait is subjected to preference mining using the basic charging conditions of electric vehicles. The executable preferred charging time period is determined in combination with the remaining waiting time of the electric vehicle. For electric vehicles that require expedited charging, the sequence priority is adjusted according to the expedited level to obtain the charging priority of each electric vehicle. Then, a mobile charging vehicle screening solution and charging precautions for electric vehicles are constructed, and the order information of electric vehicles is constructed in combination with the corresponding charging priority. In this way, a comprehensive analysis of the demand for electric vehicles can be conducted, an effective charging priority can be constructed, different analyses can be conducted for different vehicles, and a usable order information can be generated.

[0167] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. An order processing method, characterized in that: include: Step 1: Obtain a charging order issued by an electric vehicle owner, and determine the remaining power information and charging demand information of the corresponding electric vehicle according to the charging order; Step 2: configuring corresponding charging priority for the electric vehicle based on the remaining power information and the charging demand information, and establishing order information for the corresponding electric vehicle; Step 3: Transmitting the order information to the mobile charging vehicle management platform, and the mobile charging vehicle management platform assigns a corresponding mobile charging vehicle to the order information according to the work preference corresponding to each mobile charging vehicle; Step 4: Determine the priority charging time period of the corresponding electric vehicle according to the order information, and control the corresponding mobile charging vehicle to charge the electric vehicle within the priority charging time period; The step 2 comprises: Step 21: Generate a number of order keywords based on the remaining power information and the charging demand information, match each order keyword with a corresponding order dimension, build a portrait framework according to the association form and logical relationship between different order dimensions, and input each order keyword into the portrait framework to generate a user portrait of the charging order; Step 22: Establish the remaining waiting time of the corresponding electric vehicle according to the remaining power information, establish the charging basic conditions of the corresponding electric vehicle according to the charging demand information, use the charging basic conditions to perform preference mining on the user portrait, obtain several preferred charging time periods of the corresponding electric vehicle owner, and search for executable preferred charging time periods that match the corresponding remaining waiting time; Step 23: Searching for a fast charging order with an expedited feature, matching the fast charging order with a corresponding expedited level based on the expedited feature value corresponding to the expedited feature, establishing a sequence priority for each electric vehicle based on the time sequence of the executable preferred charging time period corresponding to each electric vehicle, and establishing a charging priority for the corresponding electric vehicle in combination with the corresponding expedited level; Step 24: Analyze the charging execution standards corresponding to each of the charging basic conditions, construct a mobile charging vehicle screening plan based on the charging execution standards, and generate corresponding charging precautions according to the charging basic conditions. Establish order information for the corresponding electric vehicle based on the charging priority, mobile charging vehicle screening plan and charging precautions corresponding to the same electric vehicle.

2. An order processing method according to claim 1, characterized in that: Also includes: Matching a corresponding mobile charging vehicle to each electric vehicle according to the priority charging time period corresponding to each electric vehicle; Obtain idle electric vehicles that are not matched with mobile charging vehicles, and obtain the idle time period corresponding to each of the mobile charging vehicles; A target mobile charging vehicle corresponding to a target idle time period with the smallest time difference with the priority charging time period is retrieved, and the idle electric vehicle is charged during the target idle time period.

3. An order processing method according to claim 1, characterized in that: The step 1 comprises: Step 11: When the owner of the electric vehicle issues a charging instruction, the location of the electric vehicle to be charged is obtained, and a charging order is generated in combination with the charging mode of the electric vehicle; Step 12: Use a natural language processing model to perform intent analysis on the charging order to obtain the charging intention semantics of the electric vehicle owner, and establish charging demand information of the electric vehicle according to the charging intention semantics; Step 13: Filter basic vehicle information in the charging order, and establish remaining power information of the electric vehicle according to the basic vehicle information.

4. An order processing method according to claim 1, characterized in that: The step 3 comprises: Step 31: Transmitting the order information to the mobile charging vehicle management platform, setting a charging deadline for the corresponding order information according to the charging priority corresponding to each order information, sorting the order information according to the charging deadline, and generating a countdown information queue; Step 32: Acquire the real-time data generated by the mobile charging vehicle management platform, estimate the waiting time period corresponding to each mobile charging vehicle according to the real-time data, construct a time tag, and search for the work preference characteristics corresponding to each mobile charging vehicle in the mobile charging vehicle management platform; Step 33: setting corresponding charging condition features for each of the order information according to the order salient features corresponding to each of the order information, performing a first match between the charging condition features and the work preference features, obtaining a plurality of first matching mobile charging vehicles corresponding to each of the charging orders, establishing an order sorting method according to the countdown information queue, and sorting the first matching mobile charging vehicles based on the order sorting method to generate a charging vehicle information queue; Step 34: Compare the time of the charging vehicle information queue and the countdown information queue according to the time tag, obtain several second matching mobile charging vehicles whose time tags match the countdown information queue in the charging vehicle information queue, perform a third match on the remaining power and remaining power information of the second matching mobile charging vehicles corresponding to the same order information, and match the corresponding mobile charging vehicle for each order information according to the matching result.

5. An order processing method as claimed in claim 1, characterized in that: The step 4 comprises: Step 41: searching for the time information contained in the order information, constructing the priority charging time period of the electric vehicle, searching for the geographical information contained in the order information, constructing the geographical location of the electric vehicle, and obtaining the storage location of the corresponding mobile charging vehicle; Step 42: constructing a moving path of the mobile charging vehicle according to the geographical location and the storage location, sending the moving path to the mobile charging vehicle to establish a moving control plan, and estimating the moving time of the mobile charging vehicle to reach the corresponding geographical location; Step 43: Determine the departure time of the mobile charging vehicle according to the moving duration and the corresponding priority charging time period, and control the mobile charging vehicle to arrive at the geographical location to charge the electric vehicle at the departure time according to the movement control scheme.

6. An order processing method as claimed in claim 1, characterized in that: Also includes: Analyzing the qualified time period for completing charging of the electric vehicle according to the remaining power information corresponding to each electric vehicle and the corresponding priority charging time period; Determine the working stop time of the corresponding mobile charging vehicle based on the qualified time period, and simultaneously obtain the remaining power corresponding to the mobile charging vehicle; Find a qualified mobile charging vehicle with a remaining power higher than the target power, generate continued work information in combination with the corresponding qualified work rest time, and feed the continued work information back to the mobile charging vehicle management platform.

7. An order processing method as claimed in claim 6, characterized in that: Also includes: Find an unqualified mobile charging vehicle whose remaining power is not higher than the target power, and control the unqualified mobile charging vehicle to arrive at the charging area for charging; Acquire real-time charging data corresponding to the unqualified charging vehicle, analyze the estimated charging completion time corresponding to the unqualified charging vehicle based on the real-time charging data, establish the waiting work information of the unqualified mobile charging vehicle and feed it back to the mobile charging vehicle management platform.

8. An order processing system, characterized in that: include: An order analysis module is used to obtain a charging order issued by an electric vehicle owner, and determine the remaining power information and charging demand information of the corresponding electric vehicle according to the charging order; A priority configuration module, configured to configure corresponding charging priorities for the electric vehicle based on the remaining power information and the charging demand information, and to establish order information for the corresponding electric vehicle; A charging management module, used to transmit the order information to a mobile charging vehicle management platform, and the mobile charging vehicle management platform allocates a corresponding mobile charging vehicle to the order information according to the work preference corresponding to each mobile charging vehicle; A charging execution module, used to determine the priority charging time period of the corresponding electric vehicle according to the order information, and control the corresponding mobile charging vehicle to charge the electric vehicle within the priority charging time period; The priority configuration module includes: A portrait construction unit, configured to generate a plurality of order keywords based on the remaining power information and the charging demand information, match each of the order keywords with a corresponding order dimension, construct a portrait framework according to the association form and logical relationship between different order dimensions, and input each of the order keywords into the portrait framework to generate a user portrait of the charging order; a preference analysis unit, configured to establish a remaining waiting time of the corresponding electric vehicle according to the remaining power information, establish a basic charging condition corresponding to the electric vehicle according to the charging demand information, perform preference mining on the user portrait using the basic charging condition, obtain a number of preferred charging time periods of the corresponding electric vehicle owner, and search for an executable preferred charging time period that matches the corresponding remaining waiting time; a priority determination unit, configured to search for a fast charging order containing an expedited feature, match a corresponding expedited level for the fast charging order based on an expedited feature value corresponding to the expedited feature, establish a sequence priority for each of the electric vehicles based on a time sequence of the executable preferred charging time periods corresponding to each of the electric vehicles, and establish a charging priority for the corresponding electric vehicle in combination with the corresponding expedited level; The order establishment unit is used to analyze the charging execution standard corresponding to each of the charging basic conditions, build a mobile charging vehicle screening plan based on the charging execution standard, and generate corresponding charging precautions according to the charging basic conditions, and establish order information for the corresponding electric vehicle based on the charging priority, mobile charging vehicle screening plan and charging precautions corresponding to the same electric vehicle.

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