Robust Regenerative Charging Control Based on T-S Fuzzy Sliding-Mode Approach for Advanced Electric Vehicle

This work presents a robust regenerative charging (RC) control scheme for the brushless dc (BLDC) motor drives in advanced electric vehicle (EV). After analyzing the equivalent circuit of the bidirectional ac-dc converter, we first derive the mathematical model under RC mode by using state-space averaging method. Then, we originally formulate the Tagaki-Sugeno (T-S) fuzzy model to represent its nonlinear dynamics. By combining the merits of T-S fuzzy technique with sliding-mode control (SMC) method, we develop a T-S fuzzy SMC (TSFSMC)-based constant-voltage (CV) charging control to guarantee both high performance and robust stability. Moreover, comparing to conventional methods, we declare that TSFSMC does not need the input channel to be identical and can simultaneously achieve dual goals of electric braking and RC without any additional devices. We have implemented a control prototype to analyze and confirm the validity of TSFSMC. Results show that high charging performance and significant efficiency improvement are obtained.