Hybrid Drive Train Based Auxillary Storage Systems

Abstract

The HESS technique is quite intriguing and beneficial for both short- and long-term variations. Since the vehicle depends on energy storage systems, it is essential to choose the optimum ESS for the application.The SOC of the vehicle directly affects the economy and the emission rates. In this work the parallel HEV is modelled by using ADVISOR and Different SOC limits are taken for testing the performance and fuel economy for the same designed driving cycle. With the simulation results we will be able to specify best upper and lower limits of SOC such that vehicle will achieve best fuel economy and emission performance. The simulation is performed by taking repetitive velocity profiles (drive cycles) of four different curves i.e. UDDS, ECE, FTP and HWFET. The ability controller for parallel hybrid cars is mentioned in this study in order to maximise fuel efficiency.