Charging/Refueling Navigation Strategies for Plug-in Hybrid Hydrogen and Electric Vehicles With Irrationalities and Energy Substitution

被引:3
作者
Lai, Shuying [1 ]
Qiu, Jing [1 ]
Tao, Yuechuan [1 ]
Sun, Xianzhuo [1 ]
Zhao, Junhua [2 ,3 ]
机构
[1] Univ Sydney, Sch Elect & Informat Engn, Sydney, NSW 2006, Australia
[2] Chinese Univ Hong Kong, Sch Sci & Engn, Shenzhen 518100, Peoples R China
[3] Shenzhen Inst Artificial Intelligence & Robot Soc, Shenzhen 518100, Peoples R China
基金
澳大利亚研究理事会;
关键词
Charging/refueling navigation; energy substitution; integrated electricity-charging and hydrogen-refueling stations; irrationalities; plug-in hybrid hydrogen and electric vehicles; selection ranking index; CHARGING STATION; COUPLED TRANSPORTATION; EFFICIENT; GAME; ALGORITHM; SELECTION; MODEL; TIME;
D O I
10.1109/TII.2023.3268753
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Electric vehicles (EVs) are believed to be effective in reducing the use of fossil fuels. However, the increasing penetration of EVs can lead to challenges in managing EV charging/refueling. Typically, when EVs simultaneously gather at the stations, long queueing lengths and waiting times might occur, which might result in EV disutility. Thus, in this article, novel decision-making strategies considering the irrational behaviors of EVs are formulated to ensure the utility of EVs. Three types of EVs are investigated, i.e., plug-in electric vehicles, fuel cell electric vehicles, and plug-in hybrid hydrogen and electric vehicles (PH2EVs). First, three typical types of irrationalities are modeled based on prospect theory and irrational herding theory, including risk attitude irrationality, probability distortion, and irrational herding behaviors. Second, decision-making strategies, including station selection, navigation, and energy purchasing, are modeled based on EV irrationalities. In addition, when making the station selection decision, the selection ranking index is proposed to balance energy price and waiting time. Third, the energy substitution of PH2EV is investigated to determine the optimal energy-purchasing mixture of electricity and hydrogen. Simulation results show that the average waiting time and charging/refueling time of EV users of the proposed model are reduced compared with the other two cases where EV users are assumed to be rational. In addition, the overall utility of EV users is enhanced.
引用
收藏
页码:583 / 595
页数:13
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