Performance Analysis Between Dmrac and Pi Control Algorithms for Dc-dc Converter of Hybrid Energy Storage System in Electric Vehicle

Abstract

Abstract This paper presents a performance comparison between Direct Model Reference Adaptive Control (DMRAC) with the conventional Proportional Integral (PI) control for the Hybrid Electric Vehicle (HEV) power converter. It is well noted that the power converter of HEV is highly nonlinear due to the load demand variation and duty ratio changes in different driving modes. To cope with this issue, the nonlinear control approach of DMRAC is proposed as an alternative to the conventional linear PI control algorithm. The prime focus is to regulate the power distribution in the power converter system to track the load and current demand by the HEV. MATLAB Simulink toolbox is used to construct the system and simulate the responses of the two controllers. For regular operation, the results show that DMRAC outperform PI controller in tracking both current and load demands. While in the presence of disturbance, DMRAC can only show its efficacy in current demand tracking and requires some time to surpass the PI controller in tracking the load demand. The performances have been calculated based on the Root Mean Square Error (RMSE). Based on the finding, it can be proved that the DMRAC can become a good alternative to control the power of HEV through power converters, especially when there is a variation in the demanded current.