@inproceedings{ead3bf1f0eb34e7984577f4926729e93,
title = "An Innovative Cross-Domain Conjecture: A Fluid Dynamics Model for EV Traffic-Energy Coupling in Urban Dispatch",
abstract = "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.",
keywords = "fluid dynamics, Traffic-energy coupling, urban dispatch",
author = "Yixian Liu and Donghe Li and Huan Xi and Chun Wang and Shitao Chen and Qingyu Yang",
note = "Publisher Copyright: {\textcopyright} Beijing Paike Culture Commu. Co., Ltd. 2026.; 1st Conference on Transportation and Energy Integration Technologies, C-TEIT 2025 ; Conference date: 25-07-2025 Through 27-07-2025",
year = "2026",
doi = "10.1007/978-981-95-6762-1\_3",
language = "英语",
isbn = "9789819567614",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "22--29",
editor = "Limin Jia and Peng Jia",
booktitle = "Proceedings of the 1st Conference on Transportation and Energy Integration Technologies - Volume 3",
}