Fuzzy logic based energy management strategy for converted parallel plug-in hybrid electric vehicle

Abstract

The paper investigates on energy management strategies during conversion of the conventional vehicle into the plug-in hybrid electric vehicle (PHEV). The Tata Indica converted PHEV is considered with designed specification of the electric drivetrain. The energy management system decides the preferred operating points for the different powertrain subsystems (i.e. set points for the engine and motor as per the state of battery) so that the overall cost of operating the vehicle (fuel consumption) and or emissions is minimized. However, fuel economy and emissions minimization are conflicting objectives, hence smart control strategies need to be developed to minimize either fuel consumption or emissions and or both for particular selected vehicle with a trade-off between them. In this work due to the requirement of simplicity, practically implementable and other advantages like robustness and reliability of a fuzzy logic, a fuzzy logic control based strategy is used for deciding operating points of engine and motor. This is then used to simulate a complete vehicle. Simulation of selected conventional vehicle and converted PHEV has done in MATLAB. The performance of simulated converted PHEV is studied for the fuel consumption and emissions and compared with conventional for Indian driving cycle for different cases.