Blockchain-enabled electric vehicle orderly charging optimization

Ningwei Zhang, Tonghui Zhi, Yuli Zhang*

*此作品的通讯作者

    科研成果: 期刊稿件文章同行评审

    1 引用 (Scopus)

    摘要

    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.

    源语言英语
    期刊Journal of the Operational Research Society
    DOI
    出版状态已接受/待刊 - 2024

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    Zhang, N., Zhi, T., & Zhang, Y. (已接受/印刷中). Blockchain-enabled electric vehicle orderly charging optimization. Journal of the Operational Research Society. https://doi.org/10.1080/01605682.2024.2320867