CN-122022397-A - Urban distribution vehicle dynamic dispatching system and method based on charge-change coordination

CN122022397ACN 122022397 ACN122022397 ACN 122022397ACN-122022397-A

Abstract

The invention discloses a city vehicle dynamic dispatching system and method based on charge-change coordination, which relate to the technical field of vehicle dispatching and comprise the steps of dispatching a history running record of a city vehicle, extracting load states, running distance and electricity consumption of the city vehicle in a time window in the running record, and obtaining fitting functions of different load states; the method comprises the steps of obtaining city map data, marking the positions of distribution point equipment and the positions of charging and replacing stations, obtaining the real-time positions and the residual electric quantity of a current vehicle, extracting to-be-replenished equipment, calculating the replenishment degree of each to-be-replenished equipment, sequencing the to-be-replenished equipment, obtaining the next processing order of the vehicle according to fitting functions, and realizing dynamic dispatching of the city distribution vehicle. According to the invention, the urban distribution vehicle dynamic dispatching is realized by combining the multi-source data such as the running record, the goods selling record and the fitting function, the overall dispatching rationality and reliability are improved, and the efficient and stable electric urban distribution vehicle operation requirement is met.

Inventors

DU SONGLIN
ZHANG LIYANG
LEI TAO
Sadamu Shadik
WANG BINGQUAN
WANG XIAOFENG
YU JIONG
DU XUSHENG
ZHOU XIAOCHENG

Assignees

杭州骋风而来数字科技有限公司
新疆丝路融创网络科技有限公司

Dates

Publication Date: 20260512
Application Date: 20260410

Claims (8)

1. A city vehicle dynamic scheduling method based on charge-change coordination is characterized by comprising the following steps: The method comprises the steps of calling historical running records of urban vehicles, deploying positioning sensors on the urban vehicles, extracting load states, running routes and consumed electric quantity of the urban vehicles in a time window in the running records, and obtaining fitting functions of the running routes corresponding to different load states along with the consumed electric quantity based on a plurality of running records; the urban distribution vehicle is responsible for supplementing goods to the fixed distribution point equipment to complete an order task, acquiring urban map data, and marking the positions of all distribution point equipment and the positions of the charging and replacing stations in the urban map; Acquiring the real-time position and the residual electric quantity of the current vehicle after order or charging and changing are completed, extracting to-be-restocked equipment according to the historical goods selling record of each delivery point equipment, and calculating the restocking degree of each to-be-restocked equipment according to the position of the to-be-restocked equipment; Sequencing the to-be-replenished equipment according to the replenishment degree, obtaining a charging station closest to each to-be-replenished equipment according to the equipment positions of each distribution point and the charging station positions, obtaining the next processing order of the vehicle according to each fitting function, and realizing dynamic dispatching of urban distribution vehicles.
2. The method for dynamically scheduling urban vehicles based on charge-discharge cooperation according to claim 1, wherein the obtaining of the fitting function of the running distance corresponding to different load states along with the change of the consumed electric quantity comprises the following steps: extracting a load state, a driving distance and power consumption of the urban vehicles in a time window in each driving record, wherein the time window refers to a time period when the urban vehicles are in a continuous effective driving state, and the load state comprises no-load, light load, half-load and full-load; And acquiring the running distance and the consumed electricity quantity of running records in different load states, and obtaining fitting functions of the running distance along with the change of the consumed electricity quantity, wherein the fitting functions are primary functions, and the fitting functions correspond to the different load states.
3. The method for dynamically dispatching urban vehicles based on charge-discharge cooperation according to claim 1, wherein the extracting the equipment to be restocked comprises: Acquiring the real-time vehicle position of the current vehicle after order or charging and battery replacement are completed, and the equipment position of each distribution point and the charging and battery replacement station position; Acquiring historical running average speed of the vehicle, and calculating estimated time length of the vehicle reaching the distribution point equipment according to the actual road running distance from the vehicle to the distribution point equipment; acquiring historical goods selling records of the distribution point equipment, and calculating the goods empty rate of the distribution point equipment when the current time reaches the estimated time length; And if the cargo empty rate is larger than a preset empty rate threshold value, taking the distribution point equipment as to-be-compensated cargo equipment, and further obtaining all to-be-compensated cargo equipment.
4. The method for dynamically scheduling urban distribution vehicles based on charge-discharge cooperation according to claim 3, wherein when the current time reaches the estimated duration, calculating the cargo empty rate of the distribution point equipment comprises the following steps: Acquiring historical goods selling records of distribution point equipment, extracting goods selling quantity corresponding to a plurality of time windows in a single day, taking the selling quantity of each time window as a training sample, setting a training set and a verification set, inputting the training set and the verification set into a constructed network model for training, and outputting the goods selling quantity in the time window by the trained network model according to any time window, wherein the network model is an LSTM model; The method comprises the steps of obtaining the maximum assembled goods quantity N 0 of the distribution point equipment and the stock quantity N cur at the current moment, inputting a time window with the current moment equal to the estimated time length to a trained network model, predicting the selling quantity N D in the time window, and calculating the goods empty rate of the distribution point equipment: 。
5. A method for dynamically scheduling a city vehicle based on charge-discharge coordination according to claim 3, wherein calculating the replenishment degree of each of the devices to be replenished comprises: Acquiring the time length of a certain to-be-restocked equipment in a to-be-restocked state forward at the current moment, wherein the to-be-restocked state is a state that the quantity of cargoes in the to-be-restocked equipment is smaller than a preset quantity threshold value, and carrying out normalization processing on the time length to obtain the current corresponding emergency degree of the to-be-restocked equipment; C i =Q i ×V i /L i , wherein C i is the replenishment degree of the ith replenishment equipment, Q i is the emergency degree of the ith replenishment equipment, V i is the cargo empty rate of the ith replenishment equipment, and L i is the actual road running distance from the real-time vehicle position to the ith replenishment equipment.
6. The method for dynamically scheduling urban vehicles based on charge-discharge cooperation according to claim 1, wherein the method for dynamically scheduling urban vehicles is realized, comprises the following steps: sequencing all the to-be-restocked equipment according to the order of the restocking degree from large to small; setting the safe electric quantity range of the vehicle to be more than E, wherein E is a constant more than 0; Acquiring a nearest charging and replacing station of to-be-replenished goods equipment M 1 with a distance sequence number of 1, calculating a first distance of running of a vehicle from a current position to an actual road of to-be-replenished goods equipment M 1 , substituting the first distance into a corresponding fitting function according to a load state of the current vehicle to obtain first electric quantity required to be consumed by running of the vehicle, calculating a second distance of running of the vehicle from the to-be-replenished goods equipment M 1 to the nearest charging and replacing station according to the quantity required to be replenished goods after the vehicle reaches to the to-be-replenished goods equipment M 1 , predicting the load state of the vehicle when the vehicle goes to the nearest charging and replacing station, and substituting the second distance into the corresponding fitting function to obtain second electric quantity required to be consumed by running of the vehicle; Acquiring the current residual electric quantity of the vehicle, and setting the next processing order of the vehicle as the equipment M 1 to be supplemented if the value obtained by subtracting the first electric quantity and the second electric quantity from the current residual electric quantity is in the safe electric quantity range; If the vehicle is not in the safe electric quantity range, acquiring a charging and replacing station closest to the to-be-replenished equipment M 2 with the sequence number of 2, calculating the residual electric quantity value after the vehicle starts from the current position and reaches the closest charging and replacing station after the vehicle approaches to the to-be-replenished equipment M 2 based on the judgment criterion, comparing the residual electric quantity value with the safe electric quantity range, and the like, so as to obtain the next processing order of the vehicle.
7. The method for dynamically dispatching the urban vehicles based on the cooperation of charging and changing electricity according to claim 6, wherein the method is characterized by further comprising the steps of presetting an early warning electricity quantity range of the vehicles, calculating the actual road running distance of the vehicle position to the nearest charging and changing electricity station when the next processing order of the vehicles cannot be determined, inputting the actual road running distance into a corresponding fitting function according to the load state of the vehicles at the moment to obtain the electricity quantity e required to be consumed, and prompting the vehicles to charge and change electricity in time if the value of the current residual electricity quantity minus e of the vehicles is in the early warning electricity quantity range.
8. A city vehicle dynamic dispatching system based on charge-exchange coordination, which is used for executing the city vehicle dynamic dispatching method based on charge-exchange coordination in any one of claims 1-7, and is characterized by comprising a fitting function determining module, a position labeling module, a replenishment degree calculating module and a vehicle dynamic dispatching module; The fitting function determining module is used for calling historical running records of the urban vehicles, deploying positioning sensors on the urban vehicles, extracting load states, running routes and consumed electric quantity of the urban vehicles in a time window in the running records, and obtaining fitting functions of the running routes corresponding to different load states along with the consumed electric quantity based on a plurality of running records; the position marking module is used for marking the positions of all the distribution point devices and the positions of the charging and replacing stations in the city in the map by taking charge of the urban distribution vehicles to the fixed distribution point devices to complete the order task; The replenishment degree calculation module is used for acquiring the real-time position and the residual electric quantity of the current vehicle after order or charging and changing are completed, extracting to-be-replenished equipment according to the historical goods selling record of each delivery point equipment, and calculating the replenishment degree of each to-be-replenished equipment according to the position of the to-be-replenished equipment; And the vehicle dynamic scheduling module is used for sequencing the to-be-restocked equipment according to the restocking degree, obtaining the nearest charging and replacing station to each to-be-restocked equipment according to the equipment position of each distribution point and the charging and replacing station position, obtaining the next processing order of the vehicle according to each fitting function, and realizing the dynamic scheduling of the urban distribution vehicles.

Description

Urban distribution vehicle dynamic dispatching system and method based on charge-change coordination Technical Field The invention relates to the technical field of vehicle dispatching, in particular to a dynamic dispatching system and method for urban vehicles based on cooperation of charging and power conversion. Background In the actual operation process of electric city distribution vehicle distribution, the electric city distribution vehicle is usually subjected to order dispatch order replenishment according to a preset order dispatch, but the situation that the vehicle cannot meet the continuous running requirement of the residual distribution task and needs to go to a charging and replacing station for energy replenishment occurs when the vehicle runs, the situation that the conventional dispatching formula is used for independently planning the order task and the vehicle energy replenishment behavior, the cooperative linkage of charging and replacing and transportation dispatching is not realized, the mutual conflict between the energy replenishment arrangement and the order execution is easy, the overall dispatching rationality is insufficient, and the problems of increased invalid empty running, midway electric quantity exhaustion, reduced transportation efficiency and the like of the vehicle cannot be met if the dispatching scheme does not comprehensively consider key factors such as the position condition of the charging and replacing station, and the like of the vehicle. Disclosure of Invention The invention aims to provide a dynamic dispatching system and method for urban vehicles based on charge-change coordination, which are used for solving the problems in the prior art. In order to solve the technical problems, the invention provides the following technical scheme: a city vehicle dynamic dispatching method based on charge-change coordination comprises the following steps: The method comprises the steps of calling historical running records of urban vehicles, deploying positioning sensors on the urban vehicles, extracting load states, running routes and consumed electric quantity of the urban vehicles in a time window in the running records, and obtaining fitting functions of the running routes corresponding to different load states along with the consumed electric quantity based on a plurality of running records; Because the distance travelled by the same electric quantity consumed by the vehicle is different when the vehicle is in different load states, the fitting function of the change of the travelled distance along with the consumed electric quantity is different in different load states, and different fitting functions are required to be obtained in the scheme, so that the subsequent vehicle dispatching is more reliable. The urban distribution vehicle is responsible for supplementing goods to the fixed distribution point equipment to complete an order task, acquiring urban map data, and marking the positions of all distribution point equipment and the positions of the charging and replacing stations in the urban map; Acquiring the real-time position and the residual electric quantity of the current vehicle after order or charging and changing are completed, extracting to-be-restocked equipment according to the historical goods selling record of each delivery point equipment, and calculating the restocking degree of each to-be-restocked equipment according to the position of the to-be-restocked equipment; The replenishment degree characterizes that for the current vehicle, the higher the priority of the replenishment of the equipment to be replenished, the higher the numerical value is, which means that the equipment is required to be replenished preferentially, and the higher the emergency degree and the cargo empty rate are, the higher the replenishment degree of the equipment to be replenished is, but the larger the actual road running distance is, the higher the running cost to the equipment to be replenished is, the longer the time is, and the replenishment degree of the equipment is reduced; Sequencing the to-be-replenished equipment according to the replenishment degree, obtaining a charging station closest to each to-be-replenished equipment according to the equipment positions of each distribution point and the charging station positions, obtaining the next processing order of the vehicle according to each fitting function, and realizing dynamic dispatching of urban distribution vehicles. Preferably, obtaining a fitting function of the running distance corresponding to different load states along with the change of the consumed electric quantity includes: The running record refers to a historical data set which is generated in the running process of the vehicle and related to the running state and comprises running time, vehicle position, running distance, power consumption, load state and the like, wherein the load state, the running distance and the power consumption of th