Study on the planning of electric vehicle fast charging facilities considering path selection behavior

Liqiang Ma; Qisheng Bao

doi:10.1117/12.3024009

14 February 2024 Study on the planning of electric vehicle fast charging facilities considering path selection behavior

Liqiang Ma, Qisheng Bao

Proceedings Volume 13018, International Conference on Smart Transportation and City Engineering (STCE 2023); 130180Q (2024) https://doi.org/10.1117/12.3024009
Event: International Conference on Smart Transportation and City Engineering (STCE 2023), 2023, Chongqing, China

Abstract

The inadequate layout of intercity fast charging facilities leads to difficulties in intercity travel for electric vehicle(EV) users. We incorporate EV users' path selection behavioral preference factors into planning intercity fast charging facilities and propose a bi-level programming model. Firstly, the lower layer constructs a stochastic user equilibrium model for dynamic traffic in Logit form based on general regret theory, and the upper layer constructs a multi-objective planning model that considers minimizing the total annual cost of EV charging station operators and minimizing the average queuing time of EV users; secondly, the NSGA-II nested MSA algorithm is used for solving the bi-level programming model; finally, the feasibility of the model and algorithm is verified by the Nguyen-Dupuis transportation network example. The results show that our proposed model can meet the charging needs of different users, and can effectively reduce the queuing waiting time of EV users and alleviate their travel anxiety.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Liqiang Ma and Qisheng Bao "Study on the planning of electric vehicle fast charging facilities considering path selection behavior", Proc. SPIE 13018, International Conference on Smart Transportation and City Engineering (STCE 2023), 130180Q (14 February 2024); https://doi.org/10.1117/12.3024009

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