Journal of Jilin University(Engineering and Technology Edition) ›› 2024, Vol. 54 ›› Issue (5): 1293-1301.doi: 10.13229/j.cnki.jdxbgxb.20220820

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Optimal electric bus scheduling with multiple vehicle types considering coordinated recharging strategy

Ming-ye ZHANG(),Min YANG(),Yu LI,Shi-yu HUANG,Qing-yun LI   

  1. College of Transportation,Southeast University,Nanjing 211189,China
  • Received:2022-06-28 Online:2024-05-01 Published:2024-06-11
  • Contact: Min YANG E-mail:230218920@seu.edu.cn;yangmin@seu.edu.cn

Abstract:

To solve the problem of supply-demand mismatch caused by the imbalance of time-space passenger flow, this paper proposes an electric bus scheduling method with multiple vehicle types based on the characteristics of passenger flow variety. In view of the operating characteristics difference of multiple vehicle types, considering the time-of-use electricity price and coordinated charging strategy, an electric bus scheduling model is established to jointly optimize the vehicle driving plan, charging scheme and fleet configuration. A genetic algorithm model is designed to solve the problem, and a network in Nanjing are taken as examples to verify the effect of the model. compared with the small and large type scheduling scheme, the total system cost of the scheduling scheme with multiple vehicle types is reduced by 8.26% and 11.25%, respectively. The results show that the proposed method can not only improve the public transport service level, but also effectively reduce the operation cost of the public transport system.

Key words: engineering of communications and transportation system, electric bus scheduling, multiple vehicle types, charging strategy, time of use price

CLC Number: 

  • U491

Fig.1

Electric bus scheduling with multiple vehicle types"

Fig.2

Flow chart of genetic algorithm"

Fig.3

Schematic diagram of a transit network"

Table 1

Bus line information"

线路

上行方向运营

时间

下行方向运营

时间

线路长度/km车次数
685:30~22:005:00~22:0014.8184
725:30~21:106:10~22:0016.0159

Fig.4

Boarding rates of peak and off-peak period"

Fig.5

Alighting rates of peak and off-peak period"

Table 2

Parameters of large and small electric bus type"

参数大型车小型车
座位数/个2515
载客数/人7040
折旧成本系数/(元?车次-13018
电池容量/kWh220180
能量消耗率/(kWh?km-111
充电功率/kW150120

Table 3

Experimental parameters"

参数含义数值参数含义数值
U车型数量2K车辆总数量45
K1小型车数量25K2大型车数量20
v平均运行速度15n车次数343
α单位时间成本6

Fig.6

Electric bus scheduling scheme"

Table 4

Comparison of electric bus scheduling schemes"

方案折旧成本/元充电成本/元

拥挤成本/

总成本/

变化

幅度/%

多车型8 0822 8032 44013 325-
小型车6 1743 7754 57514 524-8.26
大型车10 2903 76995515 014-11.25

Fig.7

Real-time variation on the electricity amount of buses"

Fig.8

Charging costs comparison of the two schemes"

Fig.9

Charging plan of the optimal scheduling scheme"

Fig.10

Influence of unit time cost on total system cost"

Fig.11

Influence of depreciation cost coefficient on total system cost"

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