Modeling and Simulation for Dynamic Process-based HEV Control Method

Abstract

Previous research has proposed the Dynamic Process-based Control Method (DPCM) for the propulsion system of Hybrid Electronic Vehicle (HEV) with the optimization target of achieving minimum Equivalent Fuel Consumption (EFC). In this study, the required velocity stepped discretization module, energy distribution module and equivalent fuel consumption module are built on the MATLAB/SIMULINK platform for a 14-ton HEV. A specific working condition is chosen according to China’s urban public transport characteristics and simulation studies are performed using three different control methods. Results show that DPCM performs better than other control methods in terms of velocity dynamic characteristics, energy distribution and equivalent fuel consumption, thus making it an ideal control method to be applied in HEV with good dynamic characteristics for realizing the optimization goals.