Optimized energy management strategy for separated-axle parallel hybrid electric vehicle

Hybrid electric vehicles (HEV) in addition to providing benefits of electric vehicles, could satisfy consumers for some performances of conventional internal combustion engine (ICE) vehicles such as acceleration, long range, and braking. On this way, suitable energy optimization strategies should be employed to get desired efficiency, less fuel consumption and low pollution. One of the favorite and simple configurations of HEVs is parallel type. A student team at University of Kashan, IRAN have designed and manufactured SHAHEB 2 hybrid electric vehicle. It is a separated-axle (or TTR) parallel HEV type based on Pride platform. This paper, for the first time investigates the modeling of separated-axle parallel type of HEV in ADVISOR and evaluates two control strategies for SHAHEB 2; on/off and fuzzy strategies. The simulation results indicate that the fuzzy strategy leads to better performance rather than on/off strategy for SHAHEB 2.