Armenta-Déu, C.; Arenas, A. Performance Analysis of Electric Vehicles with a Fuel Cell–Supercapacitor Hybrid System. Eng2023, 4, 2274-2292.
Armenta-Déu, C.; Arenas, A. Performance Analysis of Electric Vehicles with a Fuel Cell–Supercapacitor Hybrid System. Eng 2023, 4, 2274-2292.
Armenta-Déu, C.; Arenas, A. Performance Analysis of Electric Vehicles with a Fuel Cell–Supercapacitor Hybrid System. Eng2023, 4, 2274-2292.
Armenta-Déu, C.; Arenas, A. Performance Analysis of Electric Vehicles with a Fuel Cell–Supercapacitor Hybrid System. Eng 2023, 4, 2274-2292.
Abstract
This paper presents a new methodology to evaluate the performance of an electric vehicle hybrid power system consisting of a fuel cell and a supercapacitor. The study compares the results with those obtained for a battery-electric vehicle. The methodology extends to three driving modes, ECO, NORMAL, and SPORT, corresponding to conservative, moderate, and aggressive acceleration, and three driving conditions, low, medium, and high energy demand. We develop a simulation process to evaluate the energy consumption and the energy rate of a specific electric vehicle used as a prototype for the study. The methodology applies to a driving route that includes acceleration, deceleration, braking, and constant speed segments reproducing standard driving conditions in urban journeys. The proposed method considers combined driving modes, ECO, NORMAL, and SPORT, in each acceleration process, with variable fractions, 0% to 100%, for each mode. This methodology optimizes the simulation results as it fits the current driving way in urban environments. The simulation results show an average reduction in energy consumption of 37% and 27.1% in vehicle weight, contributing to lower energy use. The study concludes that using a hybrid power system, fuel cell/supercapacitor, instead of a battery in electric vehicles is beneficial, especially in journeys with frequent acceleration processes.
Keywords
Electric Vehicle; Fuel Cell; Supercapacitor; Hybrid Power System; Energy Efficiency Improvement; Energy Reduction; Power System Management; Optimization
Subject
Engineering, Automotive Engineering
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.
