Dr. Zhi Cao


  • Ph.D, Electrical Engineering, September 2016 – June 2022, Southeast University, Nanjing, China
  • BSc., Electrical Engineering, September 2012 – June 2016, Southeast University, Nanjing, China


  • October, 2022 – present, Post-doctor, Caili & Daniel Chang Center for Electric Drive Transportation, San Diego State University, San Diego, CA, USA
  • October, 2018 – October 2019, Visiting Ph.D student, DC system, Energy conversion & Storage Group, Delft University of Technology, Delft, The Netherlands

The Research I have Been Working on

  • Development of Wireless Battery Management System
  • Development of Battery Energy Storage System
  • Design, Modeling and Control of the Active Magntic Bearing System
  • Modeling and Control of Permanent Magnet Synchronous Motors


  • Gym workout, Movies, Hiking, Taveling.

Journal Publications

  1. Gao, W., Cao, Z., Kurdkandi, N.V., Fu, Y. and Mi, C., 2024. Evaluation of the second-life potential of the first-generation Nissan Leaf battery packs in energy storage systems. eTransportation, p.100313.
  2. Cheng, Z., Cao, Z., Hwang, J.T. and Mi, C., 2023. A Novel Single-Turn Permanent Magnet Synchronous Machine for Electric Aircraft. Energies, 16(3), p.1041.
  3. Cao, Z., Huang, Y., Peng, F. and Dong, J., 2022. Driver Circuit Design for a New Eddy Current Sensor in Displacement Measurement of Active Magnetic Bearing Systems. IEEE Sensors Journal, 22(17), pp.16945-16951.
  4. Cao, Z., Huang, Y., Guo, B., Peng, F., Dong, J. and Hemeida, A., 2021. A novel hybrid analytical model of active magnetic bearing considering rotor eccentricity and local saturation effect. IEEE Transactions on Industrial Electronics, 69(7), pp.7151-7160.
  5. Peng, F., Cao, Z., Dong, J. and Huang, Y., 2021. Simplified Quadratic Optimization-Based IPMSM Full-Speed Range Rotor Position Estimation in Synchronous Rotating Frame. IEEE Transactions on Transportation Electrification, 7(3), pp.1527-1536.
  6. Cao, Z., Dong, J., Wani, F., Polinder, H., Bauer, P., Peng, F. and Huang, Y., 2019, October. Sliding mode control with neural network for active magnetic bearing system. In IECON 2019-45th Annual Conference of the IEEE Industrial Electronics Society (Vol. 1, pp. 744-749). IEEE.