[2411.12964] Efficient Energy-Optimal Path Planning for Electric Vehicles Considering Vehicle Dynamics

Computer Science > Artificial Intelligence arXiv:2411.12964 (cs) [Submitted on 20 Nov 2024 (v1), last revised 26 Mar 2026 (this version, v2)] Title:Efficient Energy-Optimal Path Planning for Electric Vehicles Considering Vehicle Dynamics Authors:Saman Ahmadi, Guido Tack, Daniel Harabor, Philip Kilby, Mahdi Jalili View a PDF of the paper titled Efficient Energy-Optimal Path Planning for Electric Vehicles Considering Vehicle Dynamics, by Saman Ahmadi and 3 other authors View PDF HTML (experimental) Abstract:The rapid adoption of electric vehicles (EVs) in modern transport systems has made energy-aware routing a critical task in their successful integration, especially within large-scale transport networks. In cases where an EV's remaining energy is limited and charging locations are not easily accessible, some destinations may only be reachable through an energy-optimal path: a route that consumes less energy than all other alternatives. The feasibility of such energy-efficient paths depends heavily on the accuracy of the energy model used for planning, and thus failing to account for vehicle dynamics can lead to inaccurate energy estimates, rendering some planned routes infeasible in reality. This paper explores the impact of vehicle dynamics on energy-optimal path planning for EVs. We first investigate how energy model accuracy influences energy-optimal pathfinding and, consequently, feasibility of planned trips, using a novel data-driven model that incorporates key vehicl...