Blockchain-enabled electric vehicle orderly charging optimization

Ningwei Zhang, Tonghui Zhi, Yuli Zhang*

*Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    1 Citation (Scopus)

    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.

    Original languageEnglish
    JournalJournal of the Operational Research Society
    DOIs
    Publication statusAccepted/In press - 2024

    Keywords

    • Electric vehicle
    • blockchain
    • constraint generation algorithm
    • orderly charging management
    • smart contract

    Fingerprint

    Dive into the research topics of 'Blockchain-enabled electric vehicle orderly charging optimization'. Together they form a unique fingerprint.

    Cite this