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The rapid adoption of electric vehicles (EVs) is transforming urban systems through the strong coupling of traffic flow and energy demand. This paper proposes a unified modeling framework that draws analogies between EV mobility-energy behaviors and fluid dynamics phenomena, treating traffic flow as compressible mass flow and battery state of charge (SOC) as fluid temperature fields. The model enables simultaneous simulation of city-scale EV spatial dynamics and regional energy distribution, revealing complex feedback loops and spatiotemporal shifts.This study provides a scalable, physically consistent foundation for intelligent urban energy dispatch.

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An Innovative Cross-Domain Conjecture: A Fluid Dynamics Model for EV Traffic-Energy Coupling in Urban Dispatch

  • 会议论文

  • 发表日期：

    2026年

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  • Yixian Liu,
  • Donghe Li,
  • Huan Xi,
  • Chun Wang,
  • Shitao Chen,
  • Qingyu Yang

摘要

The rapid adoption of electric vehicles (EVs) is transforming urban systems through the strong coupling of traffic flow and energy demand. This paper proposes a unified modeling framework that draws analogies between EV mobility-energy behaviors and fluid dynamics phenomena, treating traffic flow as compressible mass flow and battery state of charge (SOC) as fluid temperature fields. The model enables simultaneous simulation of city-scale EV spatial dynamics and regional energy distribution, revealing complex feedback loops and spatiotemporal shifts.This study provides a scalable, physically consistent foundation for intelligent urban energy dispatch.