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Electric vehicle charging optimization with coordinated mobile and fixed chargers

Author

Listed:
  • Li, Xiaofeng
  • Yu, Xinlian
  • Pu, Ziyuan
  • Chen, Jingxu

Abstract

Mobile Chargers (MCs) enhance the flexibility and convenience of Electric Vehicle (EV) charging by enabling spatial–temporal power transfer, yet their effectiveness depends on optimal recharging strategies. This study addresses the EV charging problem using both fixed chargers (FCs) and MCs, considering the recharging of MCs at FC sites. A mixed-integer programming model is developed to integrate the operation of FCs and MCs, taking into account several practical considerations, including the time constraints of EV charging requests, the limited capacity of FCs, and the need to recharge MCs between serving EVs. A two-layer adaptive large neighborhood search algorithm is designed with problem-tailored removal and insertion operators. Computational experiment with instances constructed using real world charging data demonstrate the effectiveness of the proposed algorithm and the tailored operators. Managerial insights into operation efficiency are also provided, especially concerning the battery size of MCs and geographic distributions of FCs.

Suggested Citation

  • Li, Xiaofeng & Yu, Xinlian & Pu, Ziyuan & Chen, Jingxu, 2025. "Electric vehicle charging optimization with coordinated mobile and fixed chargers," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 204(C).
    • Handle: RePEc:eee:transe:v:204:y:2025:i:c:s1366554525004752
    DOI: 10.1016/j.tre.2025.104434
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    1. Yu, Vincent F. & Jodiawan, Panca & Hou, Ming-Lu & Gunawan, Aldy, 2021. "Design of a two-echelon freight distribution system in last-mile logistics considering covering locations and occasional drivers," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 154(C).
    2. Dimitris Bertsimas & Cheol Woo Kim, 2023. "A Prescriptive Machine Learning Approach to Mixed-Integer Convex Optimization," INFORMS Journal on Computing, INFORMS, vol. 35(6), pages 1225-1241, November.
    3. Golsefidi, Atefeh Hemmati & Hipolito, F. & Pereira, Francisco Câmara & Samaranayake, Samitha, 2025. "Incremental expansion of large scale fixed and mobile charging infrastructure in stochastic environments: A novel graph-based Benders decomposition approach," Applied Energy, Elsevier, vol. 380(C).
    4. Cui, Shaohua & Ma, Xiaolei & Zhang, Mingheng & Yu, Bin & Yao, Baozhen, 2022. "The parallel mobile charging service for free-floating shared electric vehicle clusters," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 160(C).
    5. Wu, Hongbin & Lan, Xinjie & He, Ye & Wu, Andrew Y. & Ding, Ming, 2025. "Orderly charging of electric vehicles: A two-stage spatial-temporal scheduling method based on user-personalized navigation," Applied Energy, Elsevier, vol. 378(PA).
    6. Cui, Shaohua & Yao, Baozhen & Chen, Gang & Zhu, Chao & Yu, Bin, 2020. "The multi-mode mobile charging service based on electric vehicle spatiotemporal distribution," Energy, Elsevier, vol. 198(C).
    7. Ding, Yi & Deng, Ming & Ke, Ginger Y. & Shen, Yingjun & Zhang, Lianmin, 2025. "Scheduling intelligent charging robots for electric vehicle: A deep reinforcement learning approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 200(C).
    8. Jie Zhang & Yifan Zhu & Xiaobo Li & Mengjun Ming & Weiping Wang & Tao Wang, 2022. "Multi-Trip Time-Dependent Vehicle Routing Problem with Split Delivery," Mathematics, MDPI, vol. 10(19), pages 1-24, September.
    9. Montoya, Alejandro & Guéret, Christelle & Mendoza, Jorge E. & Villegas, Juan G., 2017. "The electric vehicle routing problem with nonlinear charging function," Transportation Research Part B: Methodological, Elsevier, vol. 103(C), pages 87-110.
    10. Cui, Jingshi & Jiang, Wenqian & Wu, Chenye, 2025. "Pricing mechanism design for future EV charging station with hybrid fixed and mobile charging modes," Applied Energy, Elsevier, vol. 380(C).
    11. Perumal, Shyam S.G. & Lusby, Richard M. & Larsen, Jesper, 2022. "Electric bus planning & scheduling: A review of related problems and methodologies," European Journal of Operational Research, Elsevier, vol. 301(2), pages 395-413.
    12. Maria-Simona Răboacă & Irina Băncescu & Vasile Preda & Nicu Bizon, 2020. "An Optimization Model for the Temporary Locations of Mobile Charging Stations," Mathematics, MDPI, vol. 8(3), pages 1-20, March.
    13. Aurélien Froger & Ola Jabali & Jorge E. Mendoza & Gilbert Laporte, 2022. "The Electric Vehicle Routing Problem with Capacitated Charging Stations," Transportation Science, INFORMS, vol. 56(2), pages 460-482, March.
    14. Yiming Yan & Xi Lin & Fang He & David Z. W. Wang, 2024. "Dynamic Operations of a Mobile Charging Crowdsourcing Platform," Transportation Science, INFORMS, vol. 58(5), pages 995-1015, September.
    15. Afshar, Shahab & Macedo, Pablo & Mohamed, Farog & Disfani, Vahid, 2021. "Mobile charging stations for electric vehicles — A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 152(C).
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