Modeling and Analysis of a Series-Parallel Hybrid Electric Vehicle

Abstract

This research presents an analysis and a methodology for modeling of a Series-Parallel Hybrid Electric Vehicle using MATLAB Simulink. Hybrid Electric Vehicles are well known for their exceptional fuel economy, especially when driven within the city. But at the same time, they are not as cost and fuel-efficient as they should be when driven on highways. Therefore, a predictive control algorithm/strategy has been modeled that prioritizes the working of the Electric motor at high speeds while keeping the Internal Combustion Engine under optimal rpm. The vehicle has been modeled using an internal combustion engine (ICE), along with all the necessary components typically found in a HEV (such as a generator, electric motor, powerful drive train, battery management system, and a logic controller). The logic controller can either be operated by a drive cycle or a direct throttle input and is primarily responsible for the seamless transition and operation of the components. The main focus of this research is to provide valuable insights and research on the modeling of a Hybrid Electric Vehicle power-train, including control strategies and analysis of the statistics based on the real-time simulation along with the results of the vehicle under various drive cycles, including FTP-75, NEDC, HWFET, and JC-08 have been used to determine and verify the working of the effective control strategy. Based on the provided drive cycles, the battery’s state of charge (SOC), engine, and Electric Motor’s working, torque, and power have been deeply analyzed. As a result, the vehicle provides an overall fuel economy of 54.326 mi/gal and 4.326/100 km (City and Highway, including aerodynamic drag forces), maintaining SOC above 60%.