Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Multi-line electric bus cooperative scheduling method for single-vehicle yard

An electric bus and collaborative scheduling technology, applied in data processing applications, instruments, calculations, etc., can solve the problems of different service life of electric buses, without considering the randomness of electric bus travel time and the difference in operating intensity, etc., to achieve reduction Operating costs and convenient management, the effect of promoting development

Pending Publication Date: 2022-05-06
JILIN UNIV
View PDF0 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to solve the problem that the scheduling scheme of existing electric buses does not take into account the randomness of travel time and the difference in operating intensity of electric buses between different lines in the same parking lot, resulting in the service life of electric buses purchased in the same batch. different problems, and propose a multi-line electric bus coordination dispatching method

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Multi-line electric bus cooperative scheduling method for single-vehicle yard
  • Multi-line electric bus cooperative scheduling method for single-vehicle yard
  • Multi-line electric bus cooperative scheduling method for single-vehicle yard

Examples

Experimental program
Comparison scheme
Effect test

specific Embodiment approach 1

[0024] Specific implementation mode 1: In this implementation mode, a method for coordinated dispatching of multi-line electric buses in a bicycle yard The specific process is as follows:

[0025] Step 1: The I line of the same departure station is equipped with K electric buses, and a total of N shifts need to be run every day, and the values ​​of the above parameters are obtained based on the actual line;

[0026] For example: there are bus line 1, bus line 2, and bus line 3 at the same departure station, each bus line has 10 vehicles, K takes 30, and 30 vehicles run a total of N shifts every day;

[0027] Said 1 shift means that 1 electric bus returns to the departure station after departure;

[0028] Step 2: Travel time T of shift n n is a random variable, 1≤n≤N;

[0029] Suppose T n Obeying the mean is β and the variance is The normal distribution of , it is considered that the travel time of the same line and the same period of time is subject to the same normal dis...

specific Embodiment approach 2

[0040] Embodiment 2: This embodiment differs from Embodiment 1 in that the charging waiting time (Formula 8) and charging service time (Formula 12) are calculated in Step 3; the specific process is:

[0041] The set of trips served by electric bus k, C k is the number of shifts executed by electric bus k, k=1,2,...,K,C k =1,2,...,N,j=1,2,...,C k ;

[0042] E={e 1 ,e 2 ,...,e N}is the set of shift numbers arranged in ascending order of the end times of N shifts;

[0043] C={te 1 ,te 2 ,...,te N} is the time set of the end time of N shifts arranged in ascending order, that is, the set of the time when the current shift of the electric bus ends and returns to the departure station; that is, shift e n The moment when the operation ends and returns to the originating station is te n ;

[0044] S={s 1 ,s 2 ,...,s N} is the number set of the next shift executed by the electric bus that executes the shift at the same position in the set E;

[0045] if te n Last run f...

specific Embodiment approach 3

[0092] Specific implementation mode three: the difference between this implementation mode and specific implementation mode one or two is that the shift e is calculated in the step four n Charging costs after the end The specific process is:

[0093]

[0094] In the formula: for shift e n The charging time of the previous electricity price period in the case of crossing the adjacent electricity price period after the end, the unit is min; for shift e n The charging time of the next electricity price period in the case of crossing the adjacent electricity price period after the end, the unit is min; h is the number of the time-of-use electricity price period, h=1,2,...,H, there are H periods in total; Q h is the electricity price in time period h in the time-of-use electricity price, Q h+1 is the electricity price in time period h+1 in the time-of-use electricity price;

[0095]

[0096]

[0097] In the formula: is the end time of time-of-use electricity pri...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention relates to a co-scheduling method for multi-line electric buses in a single parking lot, in particular to a co-scheduling method for multi-line electric buses in a single parking lot. The invention aims to solve the problem that the service lives of electric buses purchased in the same batch are different. The method comprises the steps that 1, K electric buses are arranged on I lines of the same starting station, and N shifts need to be operated every day; 2, the travel time of the shift n is a random variable; 3, calculating charging waiting time and charging service time; 4, calculating the charging cost after the shift number en is finished; 5, calculating the energy consumption of the travel of the electric bus; 6, calculating the operation intensity difference; 7, establishing an opportunity constraint planning model; 8, converting an objective function; 9, converting the opportunity constraint programming model into a deterministic model; 10, solving the deterministic model; and 11, outputting an optimal solution of the deterministic model. The method is applied to the field of electric bus operation scheduling.

Description

technical field [0001] The invention belongs to the field of operation dispatching of electric buses, and in particular relates to a coordinated dispatching method for multi-line electric buses in a bicycle yard. Background technique [0002] In recent years, the pressure of energy conservation and emission reduction in urban transportation has been increasing, and the global energy crisis caused by the shortage of fossil energy has attracted increasing attention. As an emerging public transportation tool, electric buses have the advantages of low noise, high driving stability, zero emissions, and easy operation. . [0003] However, compared with fuel buses, pure electric buses still have limitations such as short mileage and long charging time. Therefore, in order to meet the development needs of buses, many cities have built bus hub stations, which can not only serve as the departure station of bus lines, but also provide charging, repair and maintenance services for bus...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G06Q10/06G06Q50/26
CPCG06Q10/06311G06Q10/06315G06Q10/06312G06Q50/26
Inventor 别一鸣从远季金华肖乔云龚雨辰章源
Owner JILIN UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com