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, the authors first derive the mathematical model under RC mode by using state-space averaging method. Then, the authors originally formulate the Tagaki-Sugeno (T-S) fuzzy model to represent its nonlinear dynamics. By combining the merits ofT-S fuzzy technique with sliding-mode control (SMC) method, the authors 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, the authors 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. The authors 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.

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  • English

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  • Accession Number: 01612386
  • Record Type: Publication
  • Files: TRIS
  • Created Date: Sep 29 2016 9:19AM