Optimal fuel control of series-parallel input split hybrid electric vehicle using genetic algorithm based control strategy

Abstract

The present transportation system heavily relies on of internal combustion engine (ICE) based vehicles. These vehicles emit toxic gases, which results in environmental pollution and create massive health problem. For energy security and greener tomorrow, the concept of hybrid vehicle came into existence. Hybrid vehicles consist of alternative energy storages like fuel-cell, super capacitor, battery or hybrid storage. The presence of two power sources, i.e., engine and battery, makes it necessary to intelligently split the power between them to minimize the fuel consumption. An intelligent controller should be used to split the on road power demand for optimum fuel economy. This article applies a genetic algorithm based controller to toggle between engine and battery. The optimization is based on the selection of vital parameters such as state of charge in the battery, engine on time and power demand. The authenticity and feasibility of proposed controller are verified extensively through numerous simulation results.