The rapid increase in electric vehicle (EV) use highlights the need for advanced charging infrastructure and strategies. This survey offers an in-depth exploration of EV charging, emphasizing its control and optimization dimensions. The analysis covers a broad spectrum, from the intricacies of individual battery cell management to the challenges of grid integration. The paper reviews various control methods and optimization techniques, addressing key factors like charging efficiency, battery life, safety measures, temperature control, and cell balancing. It also discusses the role of charging stations and energy storage systems in improving charging efficiency, grid stability, and handling peak demands. By examining the interaction between the grid and EV charging, the study explores grid limitations, power quality, and demand-side management. This comprehensive survey improves our understanding of EV charging control and optimization, paving the way for future research in this field.


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    Title :

    Intelligent EV Charging Control and Management: From Microscale Battery Cell to Macroscale Grid Synergy


    Contributors:
    Wei, Henglai (author) / Wu, Jingda (author) / Lv, Chen (author) / Yang, Shichun (author) / Zhang, Hui (author) / Al-Haddad, Kamal (author)

    Published in:

    Publication date :

    2025-03-01


    Size :

    1951509 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



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