Driving speed profile optimization for electric vehicles under variable traffic conditions

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.

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Publication Details

Journal
IFAC-PapersOnLine
Published
2025-01-01
DOI
https://doi.org/10.1016/j.ifacol.2025.07.078
Primary Topic
Vehicle emissions and performance
Type
article
Field-Weighted Citation Impact
0.00
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article

Driving speed profile optimization for electric vehicles under variable traffic conditions

Richard Burke, André Nakaema Aronis, Augusto Perin, Pau Bares et al.
IFAC-PapersOnLine
Vehicle emissions and performance
article

Driving speed profile optimization for electric vehicles under variable traffic conditions

Richard Burke, André Nakaema Aronis, Augusto Perin, Pau Bares, Benjamín Plá
article en

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.

IFAC-PapersOnLineVol. 59(5)
University of Bath (GB), Universitat Politècnica de València (ES)
Affordable and clean energy
Openalex Percentile: Top 79%
Vehicle emissions and performance
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Driving speed profile optimization for electric vehicles under variable traffic conditions — Richard Burke, André Nakaema Aronis, et al. · IFAC-PapersOnLine (2025) | TGRS Research Map | TGRS