Seho Park

Graduate Research Assistant
 sehopark (at) psu (dot) edu

Ressearch Interests: Control, Dynamics, Vehicle Systems, Energy Systems, Model Predictive Control 


  • Ph.D. Mechanical Engineering – Pennsylvania State University (In Progress 2020-Present) 
  • M.S. Mechanical Engineering – Pusan National University (August 2019) 
  • B.S. Mechanical Engineering – Pusan National University (February 2015)


Power and thermal management of electrified vehicles 


  1. Seho Park and Herschel C. Pangborn, “Noncausal Lifting Linearization for Nonlinear Dynamic Systems Under Model Predictive Control,” IEEE Conference on Decision and Control, 2022.
  2. Seho Park and Herschel C. Pangborn, "Power and Thermal Management with Battery Degradation for Hybrid Electric Vehicles," 2021 IEEE Conference on Control Technology and Applications, 2021, pp. 832-838, doi: 10.1109/CCTA48906.2021.9659119.
  3. Seho Park and Changsun Ahn, "Model Predictive Control with Stochastically Approximated Cost-To-Go for Battery Cooling System of Electric Vehicles," IEEE Transactions on Vehicular Technology, vol. 70, no.5, pp. 4312-4323, May 1, 2021. doi: 10.1109/TVT.2021.3073126.
  4. Seho Park and Changsun Ahn, "Computationally Efficient Stochastic Model Predictive Controller for Battery Thermal Management of Electric Vehicle," IEEE Transactions on Vehicular Technology, vol. 69, no.8, pp. 8407-8419, August 1, 2020. doi:10.1109/TVT.2020.2999939.
  5. Seho Park and Changsun Ahn, "Power Management Controller for a Hybrid Electric Vehicle With Predicted Future Acceleration," IEEE Transactions on Vehicular Technology, vol. 68, no.11, pp. 10477-10488, 2019. doi:10.1109/TVT.2019.2939344.
  6. Seho Park and Changsun Ahn, "Stochastic Model Predictive Controller for Battery Thermal Management of Electric Vehicles," 2019 IEEE Vehicle Power and Propulsion Conference, 2019, pp. 1-5, doi: 10.1109/VPPC46532.2019.8952340.
  7. Seho Park and Changsun Ahn, "HEV Power Management Algorithm using Future Acceleration Predicted by DNN "in International Symposium on Advanced Vehicle Control, Beijing, China, July 16-20, 2018. 

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