Dr. Narayan Kar

Dr. Narayan KarProfessor
Tier 1 Canada Research Chair in Electrified Vehicles
519-253-3000 ext. 4796
nkar@uwindsor.ca
Office: 3035 CEI

Education

  • PhD, Kitami Institute of Technology, Japan, 2000
  • MSc, Kitami Institute of Technology, Japan, 1997
  • BSc, Bangladesh University of Engineering and Technology, Bangladesh, 1992

Research Interests

  • Permanent magnet and induction machine design
  • Control and testing for electric vehicle application
  • Torque ripple and cogging torque determination, analysis and minimization
  • Advanced and new materials for stator and rotor core and winding
  • Power Electronics design and development 

Professional Affiliations

  • Senior Member, Institute of Electrical and Electronic Engineers
  • Professional Engineer, Association of Professional Engineers Ontario (PEO)

Selected Publications

  • B.D Guruwatta Vidanalage, M.D. Toulabi, T. Stachl, A. Lombardi, J. Tjong, and N.C. Kar,  "Winding Function-Based Analytics Modeling of Core Loss in an Induction Machine Considering Slotting Effects and the Frequency Dependent B-H Curve Characteristics, " IEE Transactions on Magnetics, vol. 58, no. 8, 2022. 
     
  • G. Feng, C. Lai, W. Peng, and N.C. Kar, Decoupled Design of Fault Tolerant Control for Dual Three-phase IPMSM with Improved Memory Efficiency and Reduced Current RMS," IEEE Trans. on Transportation Electrification, vol. 8, no. 1, pp. 1144-1154, 2022. 
     
  • P. Song, W. Li, Z. Li, M.S. Toulabi, and N.C. Kar, "Noise and Vibration Prediction of a Six-Phase IPMSM in a Single Pen-Phase Failure Under a Negative Sequence Current Compensated Fault Tolerant Control Mode," IEEE Transactions on Magnetics, vol. 58, no. 8, 2022. 
     
  • K. Huang, G. Feng, C. Lai, and N.C. Kar, "Robust Incremental Bayesian Learning Based Online Flux Linkage Estimation for PMSM Drives," IEEE Transactions on Transportation Electrification, vol. 8, no, 2, pp. 4509-4533, 2022. 
     
  • A. Fatima, T. Stachl, M.S. Toulabi, G. Byczynski, J. Tjong, and N.C. Kar, "Electromagnetic Performance Prediction of an Induction Machine Using an Improved Premeance-Based Equivalent Circuit Model Considering the Frequency and B-H Curve Dependent Core Loss Branches," accepted for publication, IEEE Trans. on Industry Applications, 2022. 

Website

 

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