Research on mobile charging vehicle path planning considering road restrictions

Peizhi Zheng; Qiang Wang; Haozhu Wang; Xuze Zhang; Jinglu Yang

doi:10.1117/12.2680976

23 May 2023 Research on mobile charging vehicle path planning considering road restrictions

Peizhi Zheng, Qiang Wang, Haozhu Wang, Xuze Zhang, Jinglu Yang

Proceedings Volume 12645, International Conference on Computer, Artificial Intelligence, and Control Engineering (CAICE 2023); 1264506 (2023) https://doi.org/10.1117/12.2680976
Event: International Conference on Computer, Artificial Intelligence, and Control Engineering (CAICE 2023), 2023, Hangzhou, China

Abstract

In order to alleviate the "power shortage panic" phenomenon caused by the lack of flexibility in the use of fixed charging stations, the introduction of mobile charging vehicles can effectively alleviate the charging problem of electric vehicles and improve the user experience. First, we divide the road network in specific areas, and then forecast the resident traffic volume (OD) data, so as to determine the initial location and distribution of mobile charging vehicles. From the global optimization of the charging time of the mobile charging vehicle at each charging position, ensure that each energy critical sensor is fully charged. At the same time, a mobile charging vehicle path planning algorithm considering the road state is proposed to determine the charging loop of the mobile charging vehicle and the charging time of the corresponding location, so as to minimize the total charging scheduling time on the loop. Finally, the performance of the proposed algorithm is evaluated through simulation experiments. Experimental results show that the proposed algorithm has low energy consumption, strong robustness and excellent performance.

Citation Download Citation

Peizhi Zheng, Qiang Wang, Haozhu Wang, Xuze Zhang, and Jinglu Yang "Research on mobile charging vehicle path planning considering road restrictions", Proc. SPIE 12645, International Conference on Computer, Artificial Intelligence, and Control Engineering (CAICE 2023), 1264506 (23 May 2023); https://doi.org/10.1117/12.2680976

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