Optimal dispatch strategy of mobile charging facilities on highways for meeting peak charging demand in holidays

With the increase of electric vehicle (EV) penetration rate, mobile charging facilities have been adopted to meet the peak charging demands on highways during holidays in China. In this paper, a new method is proposed to solve the coordinated dispatch problem of battery-less mobile chargers (BLMC) and battery-integrated mobile chargers (BIMC) on highways. To estimate the charging demand of each type of chargers, the queuing theory and the mixed logit choice theory are introduced into the model. Based on the demand analysis above, an optimization model is built to maximize the profit of the mobile charging operator. Then Simulated Annealing (SA) method is applied to solve the problem. Case studies have been performed and simulation results show the effectiveness of the proposed triple-layer framework and the solving method. The results also indicate the advantage of BLMCs when they are dispatched to reduce the queuing time in highway charging stations, together with BIMCs.

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Publication Details

Journal
IET conference proceedings.
Published
2025-03-01
DOI
https://doi.org/10.1049/icp.2025.0739
Primary Topic
Energy Harvesting in Wireless Networks
Type
article
Field-Weighted Citation Impact
0.00
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article

Optimal dispatch strategy of mobile charging facilities on highways for meeting peak charging demand in holidays

Zechun Hu, Yuan Zhong, Jianjun Zheng
IET conference proceedings.
Energy Harvesting in Wireless Networks
article

Optimal dispatch strategy of mobile charging facilities on highways for meeting peak charging demand in holidays

Zechun Hu, Yuan Zhong, Jianjun Zheng
article en

Abstract

With the increase of electric vehicle (EV) penetration rate, mobile charging facilities have been adopted to meet the peak charging demands on highways during holidays in China. In this paper, a new method is proposed to solve the coordinated dispatch problem of battery-less mobile chargers (BLMC) and battery-integrated mobile chargers (BIMC) on highways. To estimate the charging demand of each type of chargers, the queuing theory and the mixed logit choice theory are introduced into the model. Based on the demand analysis above, an optimization model is built to maximize the profit of the mobile charging operator. Then Simulated Annealing (SA) method is applied to solve the problem. Case studies have been performed and simulation results show the effectiveness of the proposed triple-layer framework and the solving method. The results also indicate the advantage of BLMCs when they are dispatched to reduce the queuing time in highway charging stations, together with BIMCs.

IET conference proceedings.Vol. 2024(33)
Tsinghua University (CN)
Openalex Percentile: Top 96%
Energy Harvesting in Wireless Networks
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Optimal dispatch strategy of mobile charging facilities on highways for meeting peak charging demand in holidays — Zechun Hu, Yuan Zhong, et al. · IET conference proceedings. (2025) | TGRS Research Map | TGRS