Control Strategies for Parallel Hybrid Electric Vehicles with Advanced Simulator

This paper proposes a novel control method for hybrid type electric vehicles based on a comprehensive study of various existing control methods. The proposed strategy combines Adaptive Control Strategy (ACS) and Fuzzy Logic Control to maximize the torque distribution between the engine and the electric motor, while also considering fuel economy and emissions. The ACS algorithm optimizes the operating points at each time step, taking into account both fuel economy and environment. Meanwhile, the Fuzzy Logic Control uses the ICE torque and the desired battery pack SoC as inputs to determine the ICE operating point. To come up with the best energy distribution control method, modelling and simulation are performed using the ADVISOR simulation platform. Simulation results present that proposed control method can greatly improve the engine's efficiency and ensure optimal battery performance.