Fuel Economy Optimization for Different Drive Cycles in Hybrid Electric Vehicle

The important control parameters for the hybrid electric vehicle are the lower and upper limit of state of charge (SOC). This SOC of the vehicle directly affects the economy and the emission rates. In this work, the parallel HEV is modelled by using ADVISOR (Advanced Vehicle Simulator). Different SOC limits are taken for testing the emission performance and fuel economy for the same designed driving cycles. With the simulation results we will be able to specify best upper and lower limits of SOC such that vehicle will achieve optimum fuel economy and emission performance. For control and energy management, the most important factor which needs to be taken into concern is the 'State of Charge (SOC)‘ value for the battery. Practically 20 % to 80% is the range which is usually set for the state of charge constraint The simulation is performed by taking repetitive velocity profiles (drive cycles) of two different curves i.e., UDDS (Urban Dynamometer Driving Schedule) and ECE. The SOC and emission curves are observed for these different drive cycles and the results having emission rates for HC, CO and NOx (in g/miles) are tabulated. This study's results shed light on why and how SOC caps affect HEVs' gas mileage and pollution ratings. The vehicle's total efficiency and environmental effect can be improved by identifying the ideal SOC range for various driving cycles. These findings can be used to inform the evolution of control and energy management systems for HEVs, leading to a more environmentally friendly and efficient transportation network in the future.