Work

Driving speed profile optimization for electric vehicles under variable traffic conditions

Year: 2025

Type: article

Abstract: The present paper optimizes the driving profile for an electric vehicle, by using an optimal control formulation and route scheduling. The slope, traffic lights timing and the trajectory limitations, i.e., speed limitations and safety speed in turns, are computed along the route for minimising the energy consumption with consideration of the time. The work also analyses how unexpected traffic conditions caused by external drivers might influence the final performance of the controller. The paper uses real experimental data in several routes between Bath and the University of Bath from a HondaE electrical vehicle and reproduces several traffic conditions by using SUMO to validate the proposed methodology and determine its limitations under traffic disturbances.

Source: IFAC-PapersOnLine

DOI: 10.1016/j.ifacol.2025.07.078

Authors: Benjamín Pla, Pau Bares, Andre Aronis, Augusto Perin, Richard Burke

Institutions: Universitat Politècnica de València, University of Bath

Language: English

Topic: Electric and Hybrid Vehicle Technologies

Subfield: Automotive Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Industry, innovation and infrastructure, Affordable and clean energy, Sustainable cities and communities

Open Access status: diamond

Funder: Agencia Estatal de Investigación