Optimizing Hybrid Electric Vehicle Energy Utilization Based on Particle Swarm Optimization Algorithm

Abang Ahmad Latif Abang Sarbini; Mohamad Faizrizwan Mohd Sabri; Maimun Huja Husin

Authors

Abang Ahmad Latif Abang Sarbini Department of Electrical and Electronics Engineering, Faculty of Engineering, Universiti Malaysia Sarawak (UNIMAS), Kota Samarahan, Sarawak, Malaysia
Mohamad Faizrizwan Mohd Sabri Department of Electrical and Electronics Engineering, Faculty of Engineering, Universiti Malaysia Sarawak (UNIMAS), Kota Samarahan, Sarawak, Malaysia
Maimun Huja Husin Department of Electrical and Electronics Engineering, Faculty of Engineering, Universiti Malaysia Sarawak (UNIMAS), Kota Samarahan, Sarawak, Malaysia

Keywords:

Energy Management Strategy, Hybrid Electric Vehicle, Particle Swarm Optimization, Fuel Consumption

Abstract

The introduction of more recently developed algorithms into energy management strategy (EMS) applications, mainly offline applications, has accelerated the field of energy management research for hybrid electric vehicles (HEV). The adaptation of open-sourced simulation was selected for cost-effectiveness and possibilities of modification. The outcome of this paper is to maximize the efficiency of an HEV model in MATLAB-Simulink via the use of particle swarm optimization (PSO) algorithm by considering fuel consumption (FC) as the objective function. Extensive simulations were performed over different drive cycles. Considering various input parameters to evaluate the effectiveness of the EMS controller, the proposed PSO-based EMS controller was able to find the optimal power split that would minimize FC by a theoretical average of 64 % compared to the conventional rule-based EMS.