Chiver, O.; Sugar, I.R.; Neamt, L. Study on the Selection of Electric Motor/Engine on the Performance of Hybrid Vehicles. Energies 2024, 17, 3529. https://doi.org/10.3390/en17143529
Chiver, O.; Sugar, I.R.; Neamt, L. Study on the Selection of Electric Motor/Engine on the Performance of Hybrid Vehicles. Energies 2024, 17, 3529. https://doi.org/10.3390/en17143529
Chiver, O.; Sugar, I.R.; Neamt, L. Study on the Selection of Electric Motor/Engine on the Performance of Hybrid Vehicles. Energies 2024, 17, 3529. https://doi.org/10.3390/en17143529
Chiver, O.; Sugar, I.R.; Neamt, L. Study on the Selection of Electric Motor/Engine on the Performance of Hybrid Vehicles. Energies 2024, 17, 3529. https://doi.org/10.3390/en17143529
Abstract
Hybrid electric vehicles (HEVs) are perceived as a first step towards the future of sustainable transport. Of course, battery electric vehicles (EVs) are currently ideal for what is wanted to stand for transport in the future. The lack of infrastructure for these vehicles makes many potential users choose hybrid vehicles in these conditions. This paper analyzes the influence of the engine and electric motor of hybrid vehicles on their performances. Three engines with slightly different power and close characteristics were considered for configured models. Also, two electric motors with very different power but having a very close maximum continuous torque have been used in models. One is an induction motor, and the other is a permanent magnet synchronous motor. ADVISOR software has been used for vehicles configuration and simulation. Series and parallel hybrid vehicles have been considered. The main dynamic performances and the fuel consumption in two driving cycles were compared for the configured models. Three conventional models with the same engines used in HEVs have also been simulated for reference. The results highlight that in the case of HEVs, the choice of combination engine/electric motor is crucial in obtaining the best report between dynamic performances and low fuel consumption, and implicitly a low negative impact on the environment.
Keywords
ADVISOR software; electric motor/engine; hybrid vehicle; performance
Subject
Engineering, Transportation Science and Technology
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.