Abstract:

The optimization of energy consumption applied to the hybrid electric vehicle (HEV) with a parallel architecture seems to be one of the important challenges to decrease fuel consumption and CO2 emission in the world. For this reason, this study aimed to develop a comparative study between different offline optimization algorithms to ensure an optimal power split between the electric motor (EM) and the internal combustion engine (ICE) mainly in the hybrid propulsion mode. In this approach, the energy management strategy is divided into two sections. The first is a supervision study that plays an essential role in operating mode switching of the traction system. The second consists of the objective function definition involved the fuel consumption cost, electric charge cost, and components cost as well as the optimization algorithms presentation. The problem formulation was implemented using MATLAB/Simulink software and evaluated under the Normalized European Drive Cycle (NEDC). Results related to fuel consumption, CO2 emission, computational time, best cost, and SOC sustaining operation were compared. Thus, the results obtained from Matlab simulation proved the effectiveness of used algorithms with 6.53% to 46.43% fuel economy saving.<

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