An order allocation method and system

Abstract

The application provides an order allocation method and system, wherein the method comprises: continuously monitoring a new mobile charging call order; analyzing order characteristics of the mobile charging call order; matching the best mobile charging call vehicle from the mobile charging vehicle network based on the order characteristics; and assigning the mobile charging call order to the best mobile charging call vehicle. The order allocation method and system of the application continuously monitor a new first mobile charging call order, match the best mobile charging call vehicle from the mobile charging vehicle network based on the order characteristics of the first mobile charging call order, assign the first mobile charging call order to the best mobile charging call vehicle, quickly perform order matching and assignment, greatly improve the order assignment efficiency, and are particularly suitable for unmanned mobile charging vehicles.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of mobile charging order allocation, and particularly relates to an order allocation method and system. BACKGROUND

[0002] At present, the delivery of mobile charging call orders of mobile charging vehicles is in a mode of grabbing orders, that is, when a user of an electric vehicle places an order for a mobile charging call, drivers of multiple mobile charging vehicles grab the order for the mobile charging call. However, due to the subjective factors of the drivers of the mobile charging vehicles, the order delivery efficiency of the mode of grabbing orders is low, and in addition, the mode of grabbing orders is not applicable to unmanned mobile charging vehicles.

[0003] Therefore, there is an urgent need for a solution. SUMMARY

[0004] One of the purposes of the present application is to provide an order allocation method, continuously listening to a new first mobile charging call order, matching a best mobile charging call vehicle from a mobile charging vehicle network based on order characteristics of the first mobile charging call order, and delivering the first mobile charging call order to the best mobile charging call vehicle, so as to quickly match and deliver orders and greatly improve the order delivery efficiency, and the method is particularly suitable for unmanned mobile charging vehicles.

[0005] The order allocation method provided by the embodiment of the present application comprises:

[0006] Continuously listening to a new first mobile charging call order;

[0007] Analyzing order characteristics of the first mobile charging call order;

[0008] Matching a best mobile charging call vehicle from a mobile charging vehicle network based on the order characteristics;

[0009] Delivering the first mobile charging call order to the best mobile charging call vehicle.

[0010] Preferably, the order allocation method further comprises:

[0011] When the mobile charging vehicle actively inputs a delivery request for a number of times exceeding a number threshold and is not delivered for a time period exceeding a first time threshold, obtaining vehicle information of the mobile charging vehicle;

[0012] Analyzing information characteristics of the vehicle information;

[0013] Based on the information characteristics, performing mobile charging induction;

[0014] When a second mobile charging call order is induced, delivering the second mobile charging call order to the mobile charging vehicle.

[0015] Preferably, the mobile charging induction based on the information features comprises:

[0016] Extracting the parking space, charging capacity, etc. of the mobile charging vehicle in the information features;

[0017] Searching for a first target vehicle; the straight-line distance between the current position of the first target vehicle and the parking space, charging capacity, etc. is less than a distance threshold;

[0018] Taking the first target vehicle with a future driving route that meets the local route condition as a second target vehicle;

[0019] Predicting the induction success probability of the second target vehicle;

[0020] Based on the batch division table, the second target vehicle is divided into multiple batch-level induction batches according to the induction success probability;

[0021] The second target vehicles in the same induction batch are simultaneously subjected to mobile charging induction in descending order of batch level; when the second target vehicles in one induction batch subjected to induction all fail to confirm acceptance of the induction within a second time threshold, the second target vehicles in the next batch-level induction batch are subjected to simultaneous mobile charging induction;

[0022] The local route condition comprises:

[0023] The remaining electric energy of the first target vehicle when it arrives at the starting point of the local route is less than an electric energy threshold;

[0024] The local route is a congested route or the similarity between the local route and each of a same historical set of midway stop routes of the first target vehicle is greater than a similarity threshold; the stop locations of the same historical set of midway stop routes are the same, and the stop time difference is less than a first difference threshold;

[0025] The local route falls within a target range, and the proportion of routes in the target range is greater than a proportion threshold; the city map contains a minimum enclosing circle of the parking space, the current position, and the starting point of the route;

[0026] The charging capacity meets the remaining electric energy.

[0027]

[0028] The charging capacity meets the remaining electric energy.

[0029]

[0030] The prediction of the induction success probability of the second target vehicle comprises:

[0031] The multi-modal prediction of the second target vehicle is described by features to obtain a feature description vector; ​​

[0032] determining the induced success probability corresponding to the feature description vector from the probability library.

[0033] Preferably, the order allocation method further comprises:

[0034] When a third mobile charging call order originating from a third-party platform is monitored, a first credibility of the third-party platform and a second credibility of the third mobile charging call order are analyzed respectively;

[0035] Based on the mobile charging vehicle network, a preliminary mobile charging vehicle of the third mobile charging call order and an advance amount of charging docking success time are determined;

[0036] A first target value is obtained by assigning a first credibility a preset first weight;

[0037] A second target value is obtained by assigning a second credibility a preset second weight;

[0038] A waiting time length corresponding to the sum of the first target value and the second target value is determined from the waiting time length library;

[0039] When the waiting time length is less than or equal to the advance amount or the difference between the waiting time length and the advance amount is less than or equal to a second difference threshold value, the third mobile charging call order is dispatched to the preliminary mobile charging vehicle after waiting for the waiting time length;

[0040] When the difference between the waiting time length and the advance amount is greater than the second difference threshold value, the third mobile charging call order is dispatched to the preliminary mobile charging vehicle after waiting for the average of the waiting time length and the advance amount.

[0041] An order allocation system provided by an embodiment of the application comprises:

[0042] An order monitoring module is configured to continuously monitor a new first mobile charging call order;

[0043] A feature analysis module is configured to analyze order features of the first mobile charging call order;

[0044] A vehicle matching module is configured to match a best mobile charging call vehicle from a mobile charging vehicle network based on the order features;

[0045] An order dispatching module is configured to dispatch the first mobile charging call order to the best mobile charging call vehicle.

[0046] Preferably, the order allocation system further comprises:

[0047] A charging induction module is configured to:

[0048] When a mobile charging vehicle initiatively inputs a dispatch request for a number of times exceeding a number threshold value and is not dispatched for a time length exceeding a first time threshold value, vehicle information of the mobile charging vehicle is acquired.

[0049] analyzing an information feature of the vehicle information;

[0050] based on the information feature, performing mobile charging induction;

[0051] when a second mobile charging call order is induced, assigning the second mobile charging call order to the mobile charging vehicle.

[0052] Preferably, the charging induction module, based on the information feature, performs mobile charging induction, comprising:

[0053] extracting a parking lot location and charging capacity of the mobile charging vehicle in the information feature;

[0054] searching for a first target vehicle; the straight-line distance between the current location of the first target vehicle and the parking lot location is less than a distance threshold;

[0055] taking the first target vehicle whose future driving route exists in a local route that meets the local route condition as a second target vehicle;

[0056] predicting an induction success probability of the second target vehicle;

[0057] based on the batch division table, dividing the second target vehicle into multiple batch-level induction batches according to the induction success probability;

[0058] performing simultaneous mobile charging induction on the second target vehicles in the same induction batch in descending order of batch level; when the second target vehicles in one induction batch that is being induced all fail to confirm acceptance of the induction within a second time threshold, performing simultaneous mobile charging induction on the second target vehicles in the next batch-level induction batch;

[0059] wherein the local route condition comprises:

[0060] the remaining electric energy of the first target vehicle when it arrives at the route starting point of the local route is less than an electric energy threshold;

[0061] and,

[0062] the local route is a congested route or the route similarity between the local route and each intermediate stop route in a same historical intermediate stop route set of the first target vehicle is greater than a similarity threshold; the stop locations of the intermediate stop routes in the same historical intermediate stop route set are the same, and the stop time difference is less than a first difference threshold;

[0063] and,

[0064] the proportion of routes in the target range is greater than a proportion threshold; the city map contains a minimum enclosing circle of the parking lot location, the current location, and the route starting point;

[0065] and,

[0066] The charging capacity meets the residual power.

[0067] Preferably, the charging induction module predicts the induction success probability of the second target vehicle, comprising:

[0068] The multi-modal prediction of the second target vehicle is described according to the feature description, and a feature description vector is obtained.

[0069] The induction success probability corresponding to the feature description vector is determined from the probability library.

[0070] Preferably, the order allocation system further comprises:

[0071] The third-party service module is configured to:

[0072] When a third mobile charging call order originating from a third-party platform is monitored, the first credibility of the third-party platform and the second credibility of the third mobile charging call order are analyzed respectively;

[0073] Based on the mobile charging vehicle network, a preliminary mobile charging vehicle of the third mobile charging call order and an advance amount of a charging docking success time are determined.

[0074] A first target value is obtained by assigning a first credibility a preset first weight;

[0075] A second target value is obtained by assigning a second credibility a preset second weight;

[0076] A waiting time length corresponding to the sum of the first target value and the second target value is determined from a waiting time length library.

[0077] When the waiting time length is less than or equal to the advance amount or the difference between the waiting time length and the advance amount is less than or equal to a second difference threshold value, the third mobile charging call order is dispatched to the preliminary mobile charging vehicle after waiting for the waiting time length.

[0078] When the difference between the waiting time length and the advance amount is greater than the second difference threshold value, the third mobile charging call order is dispatched to the preliminary mobile charging vehicle after waiting for the average of the waiting time length and the advance amount.

[0079] Other features and advantages of the present application will be further described in the following specification, and some will become apparent from the specification, or will be learned by practice of the present application. The purposes and other advantages of the present application can be achieved and obtained by the structures specifically pointed out in the written specification, claims, and drawings.

[0080] The technical solutions of the present application will be further described in detail below with the help of the drawings and examples. BRIEF DESCRIPTION OF DRAWINGS

[0081] The accompanying drawings are included to provide a further understanding of the application and are incorporated in and constitute a part of this specification, illustrate embodiments of the application and are intended to explain the application, but are not intended to limit the application. In the drawings:

[0082] Figure 1 a schematic diagram of an order allocation method in an embodiment of the application;

[0083] Figure 2 a schematic diagram of an order allocation system in an embodiment of the application. DETAILED DESCRIPTION

[0084] The preferred embodiments of the application are described below in conjunction with the accompanying drawings, and it should be understood that the preferred embodiments described here are only used to explain and illustrate the application, and are not used to limit the application.

[0085] The embodiment of the application provides an order allocation method, as shown in the figure, which comprises the following steps: Figure 1

[0086] S1, continuously monitoring a new first mobile charging call order;

[0087] S2, analyzing order characteristics of the first mobile charging call order;

[0088] S3, matching the best mobile charging call vehicle from the mobile charging vehicle network based on the order characteristics;

[0089] S4, assigning the first mobile charging call order to the best mobile charging call vehicle.

[0090] The first mobile charging call order is newly ordered by a user of an electric vehicle; the order characteristics comprise a charging reservation time, a charging reservation location, a required charging capacity, etc.; the mobile charging vehicle network has a large number of vehicle states of mobile charging vehicles, and the vehicle state comprises a vehicle position, a chargeable charging capacity, etc.; the best mobile charging call vehicle is matched from the mobile charging vehicle network based on the order characteristics, and the matching mechanism can consider factors such as a distance between the vehicle position of the mobile charging vehicle and the charging reservation location, whether the chargeable charging capacity of the mobile charging vehicle can meet the required charging capacity, etc., and the specific matching mechanism can be set in advance by the technical personnel according to the actual demand; when the best mobile charging call vehicle is matched, the first mobile charging call order is assigned to the best mobile charging call vehicle.

[0091] The application continuously monitors a new first mobile charging call order, matches the best mobile charging call vehicle from the mobile charging vehicle network based on order characteristics of the first mobile charging call order, and assigns the first mobile charging call order to the best mobile charging call vehicle, so that order matching and assignment are quickly performed, the order assignment efficiency is greatly improved, and the application is particularly suitable for unmanned mobile charging vehicles.​

[0092] In one embodiment, the order allocation method further comprises:

[0093] When the mobile charging vehicle actively inputs a dispatch request for more than a number threshold and is not dispatched for more than a first time threshold, vehicle information of the mobile charging vehicle is obtained; the number threshold can be 3; the first time threshold can be 10 minutes; when the mobile charging vehicle actively inputs a dispatch request, it means that the mobile charging vehicle wants to move the charging work; when the mobile charging vehicle actively inputs a dispatch request for more than a number threshold and is not dispatched for more than a first time threshold, it means that the mobile charging vehicle urgently needs to be dispatched;

[0094] The information characteristics of the vehicle information are analyzed;

[0095] Based on the information characteristics, mobile charging induction is performed;

[0096] When a second mobile charging call order is induced, the second mobile charging call order is dispatched to the mobile charging vehicle. The second mobile charging call order is an order induced by a user with an electric vehicle who needs to place an order for mobile charging;

[0097] The mobile charging induction based on the information characteristics comprises:

[0098] The parking and waiting location of the mobile charging vehicle and the charging capacity in the information characteristics are extracted; the mobile charging vehicle will be parked and waited at a location to save costs when it is not performing mobile charging work, that is, the parking and waiting location is generated; the charging capacity refers to the chargeable charging capacity, etc.

[0099] A first target vehicle is searched; the straight-line distance between the current location of the first target vehicle and the parking and waiting location is less than a distance threshold; the distance threshold can be 1.5 kilometers; the mobile charging vehicle is more suitable for performing mobile charging on the first target vehicle;

[0100] The first target vehicle whose future driving route has a local route that meets the local route condition is taken as a second target vehicle; based on the local route that meets the local route condition, the second target vehicle for which the mobile charging vehicle is more suitable to perform mobile charging is screened out;

[0101] The induction success probability of the second target vehicle is predicted; the induction success probability refers to the probability that the second target vehicle confirms to accept the induction after the mobile charging vehicle performs mobile charging induction on the second target vehicle, that is, the induction success probability;

[0102] According to the success probability of induction, the second target vehicle is divided into multiple batch-level induction batches based on a batch division table; the batch division table has multiple groups of one-to-one batch levels and corresponding probability intervals, the greater the left boundary value of the probability interval, the greater the corresponding batch level; the probability intervals corresponding to each batch level are adjacent to each other but do not overlap; when the batch level of the second target vehicle is divided according to the success probability of induction, the probability interval where the success probability of induction is located is determined, and the batch level corresponding to the probability interval where the second target vehicle is located is assigned, and the second target vehicles assigned to the same batch level are combined into an induction batch;

[0103] The second target vehicles in the same induction batch are simultaneously moved and charged according to the batch level from large to small; when the second target vehicles in an induction batch that is being induced all exceed the second time threshold for a period of time without confirming the acceptance of the induction, the second target vehicles in the next batch level induction batch are simultaneously moved and charged; the greater the batch level, the higher the priority of the induction, and the second target vehicles in the same induction batch are simultaneously moved and charged according to the batch level from large to small, so that the induction is as successful as possible; the second time threshold can be 100 seconds;

[0104] Wherein, the local route condition includes:

[0105] The remaining energy of the first target vehicle when it arrives at the starting point of the local route is less than the energy threshold; the electric vehicle not only plans the route, but also predicts the use of energy, so the remaining energy of the first target vehicle when it arrives at the starting point of the local route can be determined, and the energy threshold can be 30% (the energy of the electric vehicle is expressed in the form of percentage of use); when this local route condition is met, it means that the first target vehicle needs to be charged when it arrives at the starting point of the local route;

[0106] And,

[0107] The local route is a congested route or a route similarity between each intermediate stop route in a same historical intermediate stop route set of the first target vehicle is greater than a similarity threshold value; the stop locations of each intermediate stop route in the same historical intermediate stop route set are the same, and a stop duration difference is less than a first difference threshold value; the intermediate stop route is a route of 300 meters of continuous route generated before and after a stop duration (for example, 3 hours) of staying at a stop location (for example, a market, a supermarket, an office building, etc.) after arriving at the stop location in history; the similarity threshold value can be 75%; the congested route is a route of a road section where a vehicle is congested and a predicted passing duration is greater than, for example, 20 minutes; under the premise of needing to supplement energy, when the local route is a congested route, it indicates that the user of the electric vehicle can supplement energy without wasting time in traffic; when the route similarity between each intermediate stop route in the same historical intermediate stop route set of the first target vehicle is greater than the similarity threshold value, it indicates that the first target vehicle may also stop at the intermediate stop route, and the time can be used for supplementing energy; the first difference threshold value can be half an hour; the stop duration difference is a difference between the stop durations of each intermediate stop route in the same historical intermediate stop route set;

[0108] and,

[0109] The route proportion of the local route falling within the target range is greater than a proportion threshold value; the city map includes a parking unit, and a minimum enclosing circle of the current position and the starting point of the route; the route proportion of the local route falling within the target range is a ratio of the route length of the local route falling within the target range to the total route length of the local route; the proportion threshold value can be 1 / 8; the greater the route proportion, the lower the cost of the electric vehicle selecting and connecting to the mobile charging vehicle for supplementing energy and the cost of the mobile charging vehicle moving to charge the electric vehicle for supplementing energy;

[0110] and,

[0111] The charging capacity meets the remaining energy. Secondly, the charging capacity of the mobile charging vehicle needs to meet the remaining energy.

[0112] Generally, there can be a situation that the mobile charging vehicle does not perform the mobile charging operation for a long time in the city, at this time, if the mobile charging vehicle is not dispatched in time, it can cause waste of mobile charging resources and increase the cost of mobile charging. In the embodiment of the present application, based on the information characteristics of the vehicle information of the mobile charging vehicle, the mobile charging is induced, and when the second mobile charging call order is induced, the second mobile charging call order is dispatched to the mobile charging vehicle.

[0113] Secondly, when the mobile charging induction is carried out, the first target vehicle is searched first, preliminary screening is carried out, then the second target vehicle is determined, further screening is carried out, the local route condition is introduced, the suitability of the screened second target vehicle is ensured, and finally the second target vehicles in the same induction batch are simultaneously subjected to the mobile charging induction according to the batch level from large to small, so that the rationality, accuracy and comprehensiveness of the mobile charging induction are greatly improved.

[0114] In one embodiment, the method further comprises:

[0115] The multi-modal prediction of the second target vehicle is based on a feature description to obtain a feature description vector; the multi-modal prediction basis includes the number of times of historical acceptance of mobile charging induction, etc.

[0116] The induction success probability corresponding to the feature description vector is determined from a probability library. The probability library is preconfigured with the induction success probability corresponding to different feature description vectors.

[0117] In one embodiment, the order allocation method further comprises:

[0118] When a third mobile charging call order originating from a third-party platform is monitored, the first credibility of the third-party platform and the second credibility of the third mobile charging call order are analyzed respectively; the third-party platform refers to a platform that outsources mobile charging call orders; the third mobile charging call order is a mobile charging call order outsourced by the third-party platform; the first credibility of the third-party platform represents the credibility of the third-party platform, and the first credibility is related to the number and frequency of real mobile charging call orders provided by the third-party platform in the past; the second credibility represents the credibility of the third mobile charging call order, and the second credibility is related to the information integrity of the third mobile charging call order;

[0119] Based on the mobile charging vehicle network, a preliminary mobile charging vehicle for the third mobile charging call order and an advance amount of charging docking success time are determined; first, based on the mobile charging vehicle network, a preliminary mobile charging vehicle for the third mobile charging call order is matched, and the advance amount of time for the preliminary mobile charging vehicle to go to the charging reservation location in the third mobile charging call order compared with the charging reservation time in the third mobile charging call order is determined;

[0120] The first credibility is given a first preset weight to obtain a first target value; the first preset weight and the second preset weight are preset weight values, and the first weight is greater than the second weight; when the credibility is multiplied by the weight, the target value is obtained;

[0121] The second credibility is given a second preset weight to obtain a second target value;

[0122] determine the waiting time length corresponding to the sum of the first target value and the second target value from the waiting time length library; the greater the sum of the first target value and the second target value, the higher the comprehensive credibility degree, and the longer the waiting time length for waiting for the third mobile charging call order to be stable (preventing malicious cancellation);

[0123] When the waiting time length is less than or equal to the advance amount or the difference between the waiting time length and the advance amount is less than or equal to the second difference threshold, waiting for the waiting time length, and then assigning the third mobile charging call order to the standby mobile charging vehicle; the second difference threshold can be 200 seconds; when the waiting time length is less than or equal to the advance amount or the difference between the waiting time length and the advance amount is less than or equal to the second difference threshold, it means that waiting can be performed, and the third mobile charging call order is assigned to the standby mobile charging vehicle after waiting for the waiting time length;

[0124] When the difference between the waiting time length and the advance amount is greater than the second difference threshold, waiting for the average of the waiting time length and the advance amount, and then assigning the third mobile charging call order to the standby mobile charging vehicle. When the difference between the waiting time length and the advance amount is greater than the second difference threshold, waiting for the average of the waiting time length and the advance amount, and then assigning the order.

[0125] Generally, the system also receives the third mobile charging call order transmitted by the third party platform, but the third party platform is prone to such malicious behavior because of its low malicious cost of malicious ordering and malicious order cancellation. Therefore, the present embodiment introduces the first credibility and the second credibility to determine the target value with different weights, introduces the waiting time length corresponding to the sum of the first target value and the second target value, and determines the specific waiting operation according to the size relationship between the waiting time length and the advance amount, which greatly improves the safety of ordering from the third party platform and has special applicability.

[0126] The present embodiment provides an order distribution system, as shown in Figure 2 , comprising:

[0127] The order monitoring module 1 is used for continuously monitoring new first mobile charging call orders.

[0128] The feature analysis module 2 is used for analyzing the order features of the first mobile charging call order.

[0129] The vehicle matching module 3 is used for matching the best mobile charging call vehicle from the mobile charging vehicle network based on the order features.

[0130] The order assignment module 4 is used for assigning the first mobile charging call order to the best mobile charging call vehicle.

[0131] The order distribution system further comprises:

[0132] The charging induction module is used for:

[0133] When the mobile charging vehicle actively inputs the dispatch request more than the number threshold and is not dispatched for more than the first time length threshold, vehicle information of the mobile charging vehicle is acquired;

[0134] An information feature of the vehicle information is analyzed;

[0135] Mobile charging induction is performed based on the information feature;

[0136] When a second mobile charging call order is induced, the second mobile charging call order is dispatched to the mobile charging vehicle.

[0137] The charging induction module performs mobile charging induction based on the information feature, including:

[0138] The parking and the like location and the charging capacity of the mobile charging vehicle in the information feature are extracted;

[0139] A first target vehicle is searched; a straight-line distance between a current location of the first target vehicle and the parking and the like location is less than a distance threshold;

[0140] The first target vehicle whose future driving route exists in a local route that meets a local route condition is taken as a second target vehicle;

[0141] An induction success probability of the second target vehicle is predicted;

[0142] Based on a batch division table, the second target vehicle is divided into multiple batch-level induction batches according to the induction success probability;

[0143] The second target vehicles in the same induction batch are simultaneously subjected to mobile charging induction in descending order of the batch level; when the second target vehicles in one induction batch subjected to the induction all do not confirm acceptance of the induction for more than the second time length threshold, the second target vehicles in the next batch-level induction batch are simultaneously subjected to mobile charging induction;

[0144] The local route condition includes:

[0145] A residual electric energy of the first target vehicle when arriving at a route starting point of the local route is less than an electric energy threshold;

[0146] The local route is a congested route or a route similarity between the local route and each of a same historical intermediate stop route set of the first target vehicle is greater than a similarity threshold; the intermediate stop routes in the same historical intermediate stop route set are the same in stop location and have a stop time difference less than a first difference threshold;

[0147] The local route is a congested route or a route similarity between the local route and each of a same historical intermediate stop route set of the first target vehicle is greater than a similarity threshold; the intermediate stop routes in the same historical intermediate stop route set are the same in stop location and have a stop time difference less than a first difference threshold;

[0148] The local route is a congested route or a route similarity between the local route and each of a same historical intermediate stop route set of the first target vehicle is greater than a similarity threshold; the intermediate stop routes in the same historical intermediate stop route set are the same in stop location and have a stop time difference less than a first difference threshold;

[0149] The proportion of the local route falling within the target range is greater than a proportion threshold value; and the city map contains a parking lot or the like, and a minimum enclosing circle of the current position and the starting point of the route.

[0150] and,

[0151] The charging capability meets the remaining power.

[0152] The charging induction module predicts an induction success probability of the second target vehicle, including:

[0153] The multi-modal prediction of the second target vehicle is described by a feature description to obtain a feature description vector;

[0154] The feature description vector corresponds to an induction success probability from a probability library.

[0155] The order allocation system further includes:

[0156] The third-party service module is configured to:

[0157] When a third mobile charging call order originating from a third-party platform is detected, the first credibility of the third-party platform and the second credibility of the third mobile charging call order are analyzed respectively;

[0158] Based on the mobile charging vehicle network, a preliminary mobile charging vehicle for the third mobile charging call order and an advance amount of a charging docking success time are determined;

[0159] The first credibility is assigned a first preset weight to obtain a first target value;

[0160] The second credibility is assigned a second preset weight to obtain a second target value;

[0161] A waiting time length corresponding to the sum of the first target value and the second target value is determined from a waiting time length library;

[0162] When the waiting time length is less than or equal to the advance amount or the difference between the waiting time length and the advance amount is less than or equal to a second difference threshold value, the third mobile charging call order is dispatched to the preliminary mobile charging vehicle after waiting for the waiting time length;

[0163] When the difference between the waiting time length and the advance amount is greater than the second difference threshold value, the third mobile charging call order is dispatched to the preliminary mobile charging vehicle after waiting for the average of the waiting time length and the advance amount.

[0164] Obviously, those skilled in the art can make various modifications and variations to the present application without departing from the spirit and scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the claims of the present application and their equivalents, the present application also intends to include these modifications and variations.

Claims

1. An order allocation method, characterized by, The method comprises: continuously monitoring a new first mobile charging call order; parsing order characteristics of the first mobile charging call order; based on the order characteristics, matching the best mobile charging call vehicle from the mobile charging vehicle network; assigning the first mobile charging call order to the best mobile charging call vehicle; extracting the parking location, charging capacity and other information of the mobile charging vehicle from the information characteristics of the vehicle information of the mobile charging vehicle; searching for a first target vehicle; the straight-line distance between the current location of the first target vehicle and the parking location is less than a distance threshold; taking the first target vehicle whose future driving route exists in a local route that meets the local route condition as a second target vehicle; predicting the induction success probability of the second target vehicle; based on a batch division table, dividing the second target vehicle into multiple batch-level induction batches according to the induction success probability; performing simultaneous mobile charging induction on the second target vehicles in the same induction batch in descending order of batch level; when the second target vehicles in one induction batch all fail to confirm acceptance of the induction within a second time threshold, performing simultaneous mobile charging induction on the second target vehicles in the next batch-level induction batch; wherein the local route condition comprises: the remaining electric energy of the first target vehicle when it arrives at the starting point of the local route is less than an electric energy threshold; and the local route is a congested route or the route similarity between the local route and each intermediate stop route in the same historical intermediate stop route set of the first target vehicle is greater than a similarity threshold; the stop locations of the intermediate stop routes in the same historical intermediate stop route set are the same, and the stop time difference is less than a first difference threshold; and the proportion of routes in the target range is greater than a proportion threshold; the minimum enclosing circle of the parking location, the current location and the starting point of the route on the city map; and the charging capacity meets the remaining electric energy.

2. The order allocation method of claim 1, wherein, The method further comprises: when the mobile charging vehicle actively inputs a dispatch request for more than a number threshold and is not dispatched for more than a first time threshold, obtaining vehicle information of the mobile charging vehicle; parsing the information characteristics of the vehicle information; based on the information characteristics, performing mobile charging induction; when the second mobile charging call order is induced, assigning the second mobile charging call order to the mobile charging vehicle.

3. The order allocation method of claim 1, wherein, The method further comprises: characterizing the multimodal prediction of the second target vehicle to obtain a feature description vector; determining the induction success probability corresponding to the feature description vector from a probability library.

4. The order allocation method of claim 1, wherein, The method further comprises: when a third mobile charging call order originating from a third-party platform is monitored, respectively parsing a first credibility of the third-party platform and a second credibility of the third mobile charging call order; based on the mobile charging vehicle network, determining a preliminary mobile charging vehicle of the third mobile charging call order and an advance amount of the charging docking success time; assigning a first weight to the first credibility to obtain a first target value; assigning a second weight to the second credibility to obtain a second target value; determining a waiting time corresponding to the sum of the first target value and the second target value from a waiting time library. when the waiting duration is less than or equal to the advance or the difference between the waiting duration and the advance is less than or equal to the second difference threshold, waiting for the waiting duration, and then dispatching the third mobile charging call order to the standby mobile charging vehicle; when the difference between the waiting duration and the advance is greater than the second difference threshold, waiting for the average of the waiting duration and the advance, and then dispatching the third mobile charging call order to the standby mobile charging vehicle.

5. An order allocation system characterized by, Comprise: an order monitoring module for continuously monitoring new first mobile charging call orders; a feature analysis module for analyzing the order features of the first mobile charging call orders; a vehicle matching module for matching the best mobile charging call vehicle from the mobile charging vehicle network based on the order features; an order dispatching module for dispatching the first mobile charging call order to the best mobile charging call vehicle; extracting the parking location, charging capacity and the like of the mobile charging vehicle from the information features of the vehicle information of the mobile charging vehicle; searching for a first target vehicle; the straight-line distance between the current location of the first target vehicle and the parking location is less than the distance threshold; the first target vehicle with a future driving route that meets the local route condition is taken as a second target vehicle; predicting the induction success probability of the second target vehicle; based on the batch division table, the second target vehicle is divided into multiple batch-level induction batches according to the induction success probability; the second target vehicles in the same induction batch are induced for simultaneous mobile charging in descending order of batch level; when the second target vehicles in one induction batch that is induced do not confirm to accept the induction for a time period that exceeds the second time period threshold, the second target vehicles in the next batch-level induction batch are induced for simultaneous mobile charging; wherein the local route condition comprises: the remaining energy of the first target vehicle when it arrives at the starting point of the local route is less than the energy threshold; and, the local route is a congested route or the route similarity between the local route and each of the same historical intermediate stop route set of the first target vehicle is greater than the similarity threshold; the stop locations of the intermediate stop routes in the same historical intermediate stop route set are the same, and the stop time difference is less than the first difference threshold; and, the proportion of routes in the target range is greater than the proportion threshold; the minimum enclosing circle on the city map includes the parking location, the current location, and the starting point of the route; and, the charging capacity meets the remaining energy.

6. The order allocation system of claim 5, wherein the charging induction module is further configured to: when the mobile charging vehicle actively inputs a dispatch request for a number of times that exceeds the number threshold and is not dispatched for a time period that exceeds the first time period threshold, obtain vehicle information of the mobile charging vehicle; analyze the information features of the vehicle information; based on the information features, perform mobile charging induction; when the second mobile charging call order is induced, dispatch the second mobile charging call order to the mobile charging vehicle. The prediction of the induction success probability of the second target vehicle comprises:

7. The order assignment system of claim 5, wherein, feature description is performed on the multi-modal prediction of the second target vehicle to obtain a feature description vector; from the probability library, the induction success probability corresponding to the feature description vector is determined. Further comprising:

8. The order assignment system of claim 5, wherein, a third-party service module for: ​ When a third mobile charging call order originating from a third-party platform is monitored, a first credibility of the third-party platform and a second credibility of the third mobile charging call order are respectively analyzed; Based on the mobile charging vehicle network, a preliminary mobile charging vehicle for the third mobile charging call order and an advance amount of a charging docking success time are determined; A first target value is obtained by assigning a first credibility a preset first weight; A second target value is obtained by assigning a second credibility a preset second weight; A waiting time corresponding to a sum of the first target value and the second target value is determined from a waiting time library; When the waiting time is less than or equal to the advance amount or a difference between the waiting time and the advance amount is less than or equal to a second difference threshold, the third mobile charging call order is dispatched to the preliminary mobile charging vehicle after waiting for the waiting time; When the difference between the waiting time and the advance amount is greater than the second difference threshold, the third mobile charging call order is dispatched to the preliminary mobile charging vehicle after waiting for an average of the waiting time and the advance amount.

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