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<p>This study presents a simulation-based methodological framework for analyzing commercial electric vehicle charging patterns with high spatial and temporal resolution in metropolitan regions. Applied to the Munich Metropolitan Region, the simulation evaluates electrification scenarios across multiple commercial vehicle types and economic sectors. Base charging at depot locations becomes increasingly dominant, rising from 43% of total energy demand in 2024 to 78% by 2035. Spatial analysis identifies critical infrastructure gaps, with passenger car charging deficits concentrated in Munich city and Augsburg where demand growth outpaces official planned infrastructure expansion. For heavy-duty vehicles, analysis shows that 35 strategically located truck parking facilities could address approximately 75% of projected charging demand by 2035, demonstrating the potential for targeted infrastructure retrofitting. The study contributes a transferable simulation framework for spatially and temporally differentiated commercial vehicle charging analysis and demonstrates its application for evidence-based metropolitan infrastructure planning.</p>

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Spatiotemporal analysis of commercial electric vehicle charging in metropolitan regions

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年7月7日

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  • Lennard Hensel,
  • Volker Grajewski,
  • Tilman Matteis,
  • Gernot Liedtke

摘要

This study presents a simulation-based methodological framework for analyzing commercial electric vehicle charging patterns with high spatial and temporal resolution in metropolitan regions. Applied to the Munich Metropolitan Region, the simulation evaluates electrification scenarios across multiple commercial vehicle types and economic sectors. Base charging at depot locations becomes increasingly dominant, rising from 43% of total energy demand in 2024 to 78% by 2035. Spatial analysis identifies critical infrastructure gaps, with passenger car charging deficits concentrated in Munich city and Augsburg where demand growth outpaces official planned infrastructure expansion. For heavy-duty vehicles, analysis shows that 35 strategically located truck parking facilities could address approximately 75% of projected charging demand by 2035, demonstrating the potential for targeted infrastructure retrofitting. The study contributes a transferable simulation framework for spatially and temporally differentiated commercial vehicle charging analysis and demonstrates its application for evidence-based metropolitan infrastructure planning.