Abhigyan Majumdar

  • Abhigyan Majumdar

  • Education

    • Ph.D., Mechanical Engineering
      University of California, Davis
    • Bachelor's degree, Mechanical Engineering
      National Institute of Technology Rourkela

     

    Abhigyan’s research focuses on the integration of physics-based and data-driven modelling approaches for electric vehicle thermal management and control.

    EV Thermal Management System Diagram

    His work involves combining Koopman Operator theory with Gaussian Process Regression to develop robust probabilistic system models. These models support the development of optimal control strategies for uncertain environments.

    Probabilistic Koopman Operator Modeling

    Additionally, he is working on implementing and testing ADAS algorithms on real vehicles, integrating drive-by-wire capabilities to enhance autonomous driving research within the lab.

    Watch the project video here:

    https://ucdavis.box.com/s/kvgzjqzrm4o4epdxt8uao0gik0bnpbzf
     

 

Publications
  • Control and control-oriented modeling of PEM water electrolyzers: A review A Majumdar, M Haas, I Elliot, S Nazari - International Journal of Hydrogen Energy, 2023
  • Sliding Mode Wheel Slip Control for Regenerative Braking of an All-Wheel-Drive Electric Vehicle A Majumdar, S Nazari - ASME Letters in Dynamic Systems and Control, 2024