Fuzzy based controller design for parallel hybrid electric vehicle: An approach to fuel consumption and emission reduction

Reduction of greenhouse gas emission and fuel consumption as one of the main goals of automotive industry leading to the development hybrid vehicles. The objective of this paper is to investigate the energy management system and control strategies effect on fuel consumption, air pollution and performance of hybrid vehicles in various driving cycles. In this paper a GA-based optimized parallel HEV is considered. And so simulation performed due to Matlab and in the Advisor environment. Also a new fuzzy-based controller designed and so various strategies in different driving cycles investigated with an approach to fuel consumption and emission reduction. The simulation procedure had been carried out as a comparison problem to investigate the partnership for a new generation of vehicles (PNGV) and its effects on performance of the vehicle. The simulation results represent that if the PNGV terms not regarded in the parallel HEV performance simulations, with the proposed controller, fuel consumption and emission amount reduced saliently, however, acceleration and power of gradeability of vehicle reduced too. But with effort to observe the PNGV terms, power of vehicle and its acceleration could be improved. Hence the efficiency of the HEV rised reciprocally.