EV charging fairness protective management against charging demand uncertainty for a new “1 to N” automatic charging pile

• Published in: Energy (Oxford) 2024-10, Vol.306, p.132428, Article 132428
• Main Authors: Li, Jianwei, Zou, Weitao, Yang, Qingqing, Yao, Fang, Zhu, Jin
• Format: Article
• Language: English
• Subjects: Charging behavior; Charging station; Demand prediction; Electric vehicles
• ISSN: 0360-5442
• DOI: 10.1016/j.energy.2024.132428

Electric vehicles (EVs) have been popularly adopted and deployed over the past few years. However, the mismatch between EVs and charging infrastructure has become one of the major roadblocks to restricting EV promotion. Target at improve the temporal and spatial utilization rate of charging infrastructure, this paper presents a new “1 to N” automatic charging system with the combination of charging pile and special robotic arm. The connection between the charging pile and arrived EVs can be automatically switched by the robotic arm and the charging demand of EVs parking at the random parking spots could be satisfied. Based on the “1 to N” charging scenario a two-layer iterative charging scheduling strategy is proposed benefits of restraining the impact of the charging demand uncertainty while realizing the fairness in charging behavior. In addition, both the simulations and hardware in the loop experiments are implemented to verify the feasibility and real-time performance of the proposed “1 to N” charging system and charging schedule strategy. •A “1 to N” automatic charging pile is designed and tested for the first time.•The temporal and spatial utilization rate of charging devices is improved.•The fairness in charging behavior is realized by a layered charging strategy.•The impact of the charging demand uncertainty is investigated and restrained.