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Blockchain-enabled electric vehicle orderly charging optimization

Author

Listed:
  • Ningwei Zhang
  • Tonghui Zhi
  • Yuli Zhang

Abstract

The increasing prevalence of electric vehicles (EVs) urges charging station operators (CSOs) to expand their networks. However, currently CSOs operate independent EV charging service platforms separately, which poses inconvenience for EV users and hinders the efficient utilization of charging infrastructure. This paper introduces a consortium blockchain-enabled EV charging service platform (CB-EVCSP), which leverages novel orderly charging guidance models (OCGMs) encoded as smart contracts to integrate and coordinate the efforts of CSOs. The CB-EVCSP not only mitigates trust and security concerns but also enhances the utilization of charging facilities. Both multinomial logit (MNL) and mixed MNL models are developed to characterize the interaction between charging station recommendations and EV users’ choice behaviors, where a coefficient of variation based fairness criterion is used to ensure distribution fairness. We provide equivalent reformulations and design efficient constraint generation algorithms. Numerical experiments are conducted to validate the effectiveness of the proposed models and algorithms.

Suggested Citation

  • Ningwei Zhang & Tonghui Zhi & Yuli Zhang, 2024. "Blockchain-enabled electric vehicle orderly charging optimization," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 75(12), pages 2404-2420, December.
    • Handle: RePEc:taf:tjorxx:v:75:y:2024:i:12:p:2404-2420
    DOI: 10.1080/01605682.2024.2320867
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