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23 November 2022 Electric vehicle charging path planning considering the state of EV pile-road-grid
Zhiheng He, Xingang Yang, Wen Wang, Dan Wu, Yazhao Ren, Boyuan Cao, Yulu Zhong, Shu Su
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Proceedings Volume 12302, Seventh International Conference on Electromechanical Control Technology and Transportation (ICECTT 2022); 123025V (2022) https://doi.org/10.1117/12.2645571
Event: Seventh International Conference on Electromechanical Control Technology and Transportation (ICECTT 2022), 2022, Guangzhou, China
Abstract
Aiming at the problem of “1 hour to charge and 4 hours just to queue” during the National Day holiday in 2021, in order to reduce the problems of poor charging experience and reduced confidence in high-speed travel caused by too long charging queuing time, this paper proposes a charging path planning. Based on the state model of electric vehicles (EV), charging stations, traffic network and distribution network, this paper fully considers the charging resources around the expressway network when planning the charging path for users on the expressway network, and proposes a new method considering the “EV-pile-road-grid” state electric vehicle charging path planning. By calling the Baidu map API interface and the data of the charging piles of the Internet of Vehicles Platform, the optimized selection of charging stations is completed, and a feasible navigation path with the shortest travel (time) is finally formed.
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Zhiheng He, Xingang Yang, Wen Wang, Dan Wu, Yazhao Ren, Boyuan Cao, Yulu Zhong, and Shu Su "Electric vehicle charging path planning considering the state of EV pile-road-grid", Proc. SPIE 12302, Seventh International Conference on Electromechanical Control Technology and Transportation (ICECTT 2022), 123025V (23 November 2022); https://doi.org/10.1117/12.2645571
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Energy efficiency
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