AAC 2025 Paper Abstract

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Paper MoA2.5

Pla, Benjamín (Universidad Politécnica de Valencia), Bares, Pau (Universitat Politecnica de Valencia), Aronis, André (Universitat Politècnica de València), Perin, Augusto (Universitat Politècnica de València), Burke, Richard (University of Bath)

Driving Speed Profile Optimization for Electric Vehicles under Variable Traffic Conditions

Scheduled for presentation during the Regular Session "Optimization and control for eco-driving and racing" (MoA2), Monday, June 16, 2025, 12:20−12:40, Jos

AAC 2025 11th IFAC International Symposium on Advances in Automotive Control, June 15-18, 2025, Eindhoven, Netherlands

This information is tentative and subject to change. Compiled on May 31, 2025

Keywords Optimal design and control of XEV, Vehicle dynamics, control and state estimation, Advanced Driver Assist Systems

Abstract

The present paper optimizes the driving profile for an electric vehicle, by using a control optimal 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 minimizing 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 Bath Univeristy 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.

 

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