Optimal charging strategy for intercity travels of battery electric vehicles

被引:12
|
作者
Wang, Yongxing [1 ]
Bi, Jun [2 ,3 ]
Guan, Wei [2 ,3 ]
Lu, Chaoru [4 ]
Xie, Dongfan [2 ,3 ]
机构
[1] Norwegian Univ Sci & Technol, Dept Civil & Environm Engn, N-7033 Trondheim, Norway
[2] Beijing Jiaotong Univ, Sch Traff & Transportat, 3 Shangyuancun St, Beijing 100044, Peoples R China
[3] Beijing Jiaotong Univ, Key Lab Transport Ind Big Data Applicat Technol C, Beijing 100044, Peoples R China
[4] Oslo Metropolitan Univ, Dept Civil Engn & Energy Technol, N-0166 Oslo, Norway
基金
中国国家自然科学基金;
关键词
Battery electric vehicles; Charging behaviour; Multicriteria charging strategy; Multistage optimisation model; Dynamic programming; ROUTING-PROBLEMS; OPTIMIZATION; NETWORK; DECISION; MODEL;
D O I
10.1016/j.trd.2021.102870
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Limited driving range, long charging time and high charging costs affect the use of battery electric vehicles (BEVs) for intercity travels and often compel drivers to charge their vehicles more than once. This study proposes a multistage optimisation model to provide BEV drivers with a charging strategy for intercity travel. This model aims to jointly minimise travel time and charging cost and to determine the optimal amount of charged energy in each charging station located along the available routes. A dynamic programming method for solving this model is also designed. The feasibility and effectiveness of the proposed model and solution method are verified through the numerical example and simulations. The results indicate that the trade-offs between travel time and charging cost significantly influence the proposed solution, and the residual energy at the destination affects the availability of routes. The policy implications for the BEV-based intercity travels are discussed.
引用
收藏
页数:18
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