Title: Modelling and simulation of energy management of power-split hybrid electric vehicles using the discrete EVent system specification

Authors: Abdelfettah Maatoug; Sahraoui Kharoubi; Moustafa Maaskri; Ghalem Belalem; Said Mahmoudi

Addresses: Faculty of Applied Sciences, Science and Technology Department, University of Tiaret, Tiaret, 14000, Algeria ' Faculty of Mathematics and Computer Science, Computer Science Department, University of Tiaret, Tiaret, 14000, Algeria ' Faculty of Applied Sciences, Electrical Engineering Department, University of Tiaret, Tiaret, 14000, Algeria ' Faculty of Exact and Applied Sciences, Computer Science Department, University of Oran 1 Ahmed Ben Bella, Oran, 31000, Algeria ' Faculty of Engineering, Computer Science Department, University of Mons, Mons, 7000, Belgium

Abstract: This work provides a basis for studying energy management optimisation in power-split hybrid electric vehicles (PSHEVs) to reduce fuel consumption and increase powertrain efficiency by enforcing a strategy related to battery level and vehicle speed. Three modes were used to operate the vehicle to meet different situations related to available energy and desired speed. These are particularly abundance mode, ascetic mode and optimal mode. For this, a system was designed based on several sub-models written in the discrete EVent system (DEVS) specification. The vehicle's power train and control strategy models were created in the DEVSimPy environment, and a joint simulation was carried out from the composite sub models until the overall model is reached. Simulation results under several driving cycles showed that the proposed system improves the energy consumption of the vehicle in different operating modes of the engines and gives more opportunities to adopt electric motors in vehicle transmission.

Keywords: hybrid electric vehicle; energy management; control strategy; energy management system; modelling and simulation; DEVSimPy environment.

DOI: 10.1504/IJVSMT.2024.136762

International Journal of Vehicle Systems Modelling and Testing, 2024 Vol.18 No.1, pp.33 - 61

Received: 03 Aug 2023
Accepted: 14 Dec 2023
Published online: 20 Feb 2024 *

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