Grey Wolf Optimization Based Energy Management Strategy for Hybrid Electrical Vehicles

Electric vehicles (EVs) are seen as a necessary component of transportation's future growth. However, the performance batteries related to power density and energy restricts adoption electric vehicles. To make transition from conventional car pure vehicle (PEV), Hybrid Vehicle's (HEV) Energy Management System (EMS) is crucial. The HEVs often powered with hybrid electrical sources, therefore it important select optimal source improve HEV performance, minimize fuel cost hydrocarbon nitrogen oxides emission. This paper presents Grey Wolf Optimization (GWO) algorithm for control sources in based on requirement economy. proposed GWO-based EMS provides optimized switching economical pollution free HEV.