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Quantitative evidence for modelling electric vehicles

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  • Jansen, Malte
  • Gross, Rob
  • Staffell, Iain

Abstract

Electric vehicles are now a major contributor to decarbonising the transport sector. Their rollout has accelerated rapidly since 2020, reaching a global fleet of 40 million in 2023. This presents both problems and opportunities for electricity systems, with charging increasing peak loads, but also providing a large new source of flexibility to help manage increased shares of wind and solar generation, shift peak demand and improve network management.

Suggested Citation

  • Jansen, Malte & Gross, Rob & Staffell, Iain, 2024. "Quantitative evidence for modelling electric vehicles," Renewable and Sustainable Energy Reviews, Elsevier, vol. 199(C).
    • Handle: RePEc:eee:rensus:v:199:y:2024:i:c:s1364032124002478
    DOI: 10.1016/j.rser.2024.114524
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    References listed on IDEAS

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    1. Qi, Wei & Qin, Wenhu & Yun, Zhonghua, 2024. "Closed-loop state of charge estimation of Li-ion batteries based on deep learning and robust adaptive Kalman filter," Energy, Elsevier, vol. 307(C).

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