Hybrid Electric Vehicle Performance Analysis Under Various Temperature Conditions

Abstract

To surmount the threat of environmental hazard and to prevent the exploitation of natural resources, hybrid vehicle provide the solution in terms of alternate energy sources like battery, fuel cell or ultra capacitor. Usage of battery in hybrid electric vehicle reduces the demand of petroleum but increases the complexity in terms of its state of charge (SOC) estimation. Under various temperature conditions, battery charging/discharging efficiency changes, hence vehicle performance is affected. To investigate this, a novel SOC estimation formula is introduced. Genetic algorithm based control strategy is exercised to find the optimal fuel economy for the hybrid electric vehicle at various temperatures using proposed SOC estimation method. Vehicle performance varies abruptly other than nearby room temperatures and at higher temperature fuel economies are found to be better compared to the lower temperature. But, usage of battery at high temperatures for longer time reduces its life and diminishes vehicle performance.