The Scheduling Control Strategy for In-motion EV Wireless Charging Based on Cooperative Vehicle Infrastructure System

被引：0
|
作者：
Zhou X.-W. [1 ]
Wang G.-P. [1 ]
Wang H.-F. [1 ]
Shang X. [1 ]
机构：
[1] School of Electronics and Control Engineering, Chang'an University, Xi'an
来源：
Tien Tzu Hsueh Pao/Acta Electronica Sinica | 2021年 / 49卷 / 05期
关键词：
Cooperative vehicle infrastructure system; Dynamic wireless charging; Electric vehicles; Particle swarm algorithm; Scheduling;
D O I：
10.12263/DZXB.20200954
中图分类号：
学科分类号：
摘要：
Special roads set up in highway used to realize dynamic wireless charging for In-motion electric vehicles that leads to a profound change in the field of traffic engineering. However, on the premise of the maximum charging effect of EV, how to schedule and manage such vehicles to improve traffic safety and road capacity is a key issue that cannot be avoided. Therefore, this paper first establishes the vehicle scheduling model of the system. A new reverse elitist mutation particle swarm optimization (REMPSO) algorithm is proposed. And its rapidity, stability and optimization ability are proved by comparing with the traditional particle swarm optimization and genetic algorithm. Finally, this algorithm is used to solve the system model, and the optimal moving isolation partition is obtained. Based on cooperative vehicle infrastructure system, The paper provides a feasible control strategy for the right of way scheduling of dynamic wireless charging for In-motion EV. © 2021, Chinese Institute of Electronics. All right reserved.
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页码：904 / 911
页数：7
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