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Research Article | Open Access

Optimized speed control for electric vehicles on dynamic wireless charging lanes: An eco-driving approach

Lingshu Zhong1, Ho Sheau En2, Mingyang Pei3, Jingwen Xiong3, Tao Wang4( )
School of Systems Science and Engineering, Sun Yat-sen University, Guangzhou 510399, China
Faculty of Business and Management, UCSI University, Kuala Lumpur 56000, Malaysia
Department of Civil Engineering and Transportation, South China University of Technology, Guangzhou 510641, China
School of Automotive and Transportation Engineering, Hefei University of Technology, Hefei 230000, China
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Abstract

As the adoption of Electric Vehicles (EVs) intensifies, two primary challenges emerge: limited range due to battery constraints and extended charging times. The traditional charging stations, particularly those near highways, exacerbate these issues with necessary detours, inconsistent service levels, and unpredictable waiting durations. The 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 time. Meanwhile, the existing research has addressed load balancing optimization on Dynamic Wireless Charging (DWC) systems to a limited extent. To 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 DWCL. We utilize mathematical programming methods and incorporate the longitudinal dynamics of vehicles to provide an accurate physical model of EVs. Three 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 strategies. The 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 balancing. Furthermore, by defining the energy demand and speed range through an upper operation limit, a relatively superior speed control strategy can be selected. This work contributes to the discourse on DWCL integration into modern transportation systems, enhancing the EV driving experience on major roads.

Keywords

dynamic wireless charging (DWC)electric vehicle (EV)eco-drivingspeed controlload balancing

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Journal of Intelligent and Connected Vehicles
Volume 7 Issue 1,
March 2024
Pages 52-63
DOI: 10.26599/JICV.2023.9210033
Cite this article:
Zhong L, En HS, Pei M, et al. Optimized speed control for electric vehicles on dynamic wireless charging lanes: An eco-driving approach. Journal of Intelligent and Connected Vehicles, 2024, 7(1): 52-63. https://doi.org/10.26599/JICV.2023.9210033

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Received: 13 October 2023
Revised: 10 December 2023
Accepted: 24 January 2024
Published: 31 March 2024
© The author(s) 2024.

This is an open access article under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/).
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