Optimized speed control for electric vehicles on dynamic wireless charging lanes: An eco-driving approach
作者机构：School of Systems Science and EngineeringSun Yat-sen UniversityGuangzhou 510399China Faculty of Business and ManagementUCSI UniversityKuala Lumpur 56000Malaysia Department of Civil Engineering and TransportationSouth China University of TechnologyGuangzhou 510641China School of Automotive and Transportation EngineeringHefei University of TechnologyHefei 230000China
出 版 物：《Journal of Intelligent and Connected Vehicles》 (智能网联汽车（英文）)
年 卷 期：2024年第7卷第1期
页 面：52-63页
核心收录：
学科分类：0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学]
基 金：funded by the National Natural Science Foundation of China(72201149) Xinjiang Key Laboratory of Green Mining of Coal resources,Ministry of Education(KLXGY-KB2420) Guangzhou Basic and Applied Basic Research(SL2023A04J00802)
主 题：dynamic wireless charging(DWC) electric vehicle(EV) eco-driving speed control load balancing
摘 要：As the adoption of Electric Vehicles(EVs)intensifies,two primary challenges emerge:limited range due to battery constraints and extended charging *** traditional charging stations,particularly those near highways,exacerbate these issues with necessary detours,inconsistent service levels,and unpredictable waiting *** emerging technology of dynamic wireless charging lanes(DWCLs)may alleviate range anxiety and eliminate long charging stops;however,the driving speed on DWCL significantly affects charging efficiency and effective charging ***,the existing research has addressed load balancing optimization on Dynamic Wireless Charging(DWC)systems to a limited *** address this critical issue,this study introduces an innovative eco-driving speed control strategy,providing a novel solution to the multi-objective optimization problem of speed control on *** utilize mathematical programming methods and incorporate the longitudinal dynamics of vehicles to provide an accurate physical model of *** objective functions are formulated to tackle the challenges at hand:reducing travel time,increasing charging efficiency,and achieving load balancing on DWCL,which corresponds to four control *** results of numerical tests indicate that a comprehensive control strategy,which considers all objectives,achieves a minor sacrifice in travel time reduction while significantly improving energy efficiency and load ***,by defining the energy demand and speed range through an upper operation limit,a relatively superior speed control strategy can be *** work contributes to the discourse on DWCL integration into modern transportation systems,enhancing the EV driving experience on major roads.
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