Title: Control system for electric vehicles' energy use in urban routes

Authors: Carlos Armenta-Déu; Alejandro Alonso

Addresses: Faculty of Physical Sciences, Department of Matter Structure, Thermal Physics and Electronics, Complutense University of Madrid, 28040, Madrid, Spain ' Faculty of Physical Sciences, Department of Matter Structure, Thermal Physics and Electronics, Complutense University of Madrid, 28040, Madrid, Spain

Abstract: A critical issue for the electric vehicle industry is the driving range. Driver attitude and driving conditions lower the set up autonomy by car manufacturers, resulting in complaining from unsatisfied car owners due to reduction in driving range. In this paper, we develop a method to maximise electric vehicle driving range by controlling driving conditions and drivers' attitudes. The methodology predicts the maximum autonomy with high accuracy based on the energy consumption of the electric vehicle. The method uses a computational simulation process based on the driver's selection of specific parameters to calculate the energy consumption. The control system blocks the electric vehicle starting up and avoids changes in driving conditions during the running if selected driving conditions are non-compatible with the battery state of charge (SOC). As a result sudden stop due to battery exhaustion is prevented, warrantying the fulfilment of the selected route.

Keywords: electric vehicle; driving range; control system; driving conditions simulation; software design.

DOI: 10.1504/IJVSMT.2024.140496

International Journal of Vehicle Systems Modelling and Testing, 2024 Vol.18 No.2, pp.134 - 151

Received: 01 Jun 2023
Accepted: 30 Dec 2023
Published online: 20 Aug 2024 *

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