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October 3, 2025Open Access

Resource-Oriented Optimization of Electric Vehicle Systems: A Data-Driven Survey on Charging Infrastructure, Scheduling, and Fleet Management

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Authors

HWHai WangBGBaoshen GuoXZXiaolei Zhou

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Overview

This review addresses challenges in charging infrastructure and fleet management for electric vehicles, suggesting data-driven solutions.

Key Points

  • Significant reductions in energy consumption and emissions are achievable with proper electric vehicle system optimization.
  • Charging scheduling strategies can alleviate congestion and reduce operational inefficiencies during peak hours.
  • Data-driven models offer opportunities for improved fleet management and integration with smart grid infrastructure.
  • Addressing dynamic electricity pricing can lower charging costs and enhance user satisfaction while maintaining service requirements.

Cite This Study

Wang et al. (2025) studied this question.

synapsesocial.com/papers/68e02f40f0e39f13e7fa29c3https://doi.org/10.48550/arxiv.2509.04533
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