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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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