Does making a reservation make sense? Understanding charging induction scheme performance for electric vehicles

Jianxin Lin, Ziyang Wang, Binbin Peng and Ziqi Lu

Physica A: Statistical Mechanics and its Applications, 2025, vol. 666, issue C

Abstract: There is a critical imbalance between the supply and demand of public charging infrastructure in urban hotspots during peak hours for electric vehicles (EVs). This phenomenon has led to extended charging queue times and inefficient utilization of public resources. Therefore, this study proposes the electric vehicle elastic travel induction problem (EVETIP-RP) from a reservation perspective. We establish an electric vehicle route planning (EVRP) model focused on minimizing total travel distance. After determining the optimal charging route, an electric vehicle reservation charging optimization (EVRCO) model is developed to minimize total queue time, with constraints on user flexible travel times. The models were tested in the Sioux Falls road network, showing a 70.48% reduction in total EV queuing time with the reservation charging induction scheme, and the charging infrastructure’s utilization and turnover rates significantly improved as well. Moreover, sensitivity analysis confirms the impact of the synergy between charging supply and demand behavior on reservations. To improve the effectiveness of reservation charging, we recommend that EV users upload their travel demands, and the government should develop charging pile combination configuration strategies for charging stations of different scales.

Keywords: Electric vehicle; Charging scheduling; Reservation charging optimization; Elastic travel simulation; Charging station configuration (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:666:y:2025:i:c:s037843712500189x

DOI: 10.1016/j.physa.2025.130537

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