Kyunghwan Choi 

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Summary

Research Interest

Multi-level Optimal Control of Connected, Automated, and Electrified Vehicles (CAEVs)
• Component-level: Optimal control of electric motors and drives
• Vehicle-level: Optimal control of vehicle dynamics and powertrain systems
• Network-level: Cooperative driving, predictive energy and thermal management Optimal and Learning-based Control

Optimal and Learning-based Control
• Model Predictive Control (MPC): Learning-based MPC, Computationally efficient MPC
• Neuro-adaptive Control (NAC): NAC with stability and constraint guarantees
• Reinforcement Learning (RL): Online RL-based control, Constrained RL

Education

• Ph.D. – Mechanical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Korea.
• M.S. – Mechanical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Korea.
• B.S. – Mechanical Engineering, magna cum laude, Korea Advanced Institute of Science and Technology (KAIST), Korea.

Biography

Kyunghwan Choi received his B.S., M.S., and Ph.D. degrees in Mechanical Engineering from KAIST, Daejeon, South Korea, in 2014, 2016, and 2020, respectively. Following his Ph.D., he worked at the Center for Eco-Friendly & Smart Vehicles at KAIST as a Postdoctoral Fellow and later as a Research Assistant Professor. In 2022, he joined GIST as an Assistant Professor in the Department of Mechanical and Robotics Engineering. Currently, he serves as an Assistant Professor at the Cho Chun Shik Graduate School of Mobility at KAIST, where he is also the Director of the Mobility Intelligence and Control Laboratory. His research focuses on optimal and learning-based control for connected, automated, and electrified vehicles (CAEVs).

Publication

International Journal Papers

20. K. Choi*, S. Shin, and M. Seo, “Cooperative Merging in Mixed Traffic Based on Strategic Influence of Connected Automated Vehicles on Human-Driven Vehicle Behavior,” Advanced Intelligent Systems, Early Access.
19. G. Park, K. Choi, and D. Kum*, “Predictive Control of a Dog-clutch Transmission via a Transformer-based Velocity Prediction,” IEEE Transactions on Vehicular Technology, Early Access.
18. K. Choi, J. Kim, and K.-B. Park*, “Generalized Model Predictive Torque Control of Synchronous Machines,” IEEE/ASME Transactions on Mechatronics, Early Access.
17. K. Choi, G. Park, and D. Kum*, “An Analytical Approach to the Predictive Energy Management of Connected HEVs: What Information Do We Need to Guarantee Global Optimality?,” IEEE Transactions on Intelligent Transportation Systems, vol. 25, no. 9, pp. 12749-12761, 2024.
16. W. Kim, K. Na, and K. Choi*, “A Current Sensor Fault-detecting Method for Onboard Battery Management Systems of Electric Vehicles Based on Disturbance Observer and Normalized Residuals,” International Journal of Control, Automation, and Systems, vol. 21, no. 11, pp. 3563-3573, 2023.
15. M. Choi, K. Choi, M. Cho, M. Lee, and K.-S. Kim*, “Chattering Reduction of Sliding Mode Control via Nonlinear Disturbance Observer for Anti-Lock Braking System and Verification with CarSim Simulation,” International Journal of Automotive Technology, vol. 24, no. 4, pp. 1141-1149, 2023.
14. K. Choi and W. Kim*, “Real-time Predictive Energy Management Strategy for Fuel Cell-powered Unmanned Aerial Vehicles Based on the Control-oriented Battery Model,” IEEE Control Systems Letters, vol. 7, pp. 943-948, 2023 (The contents of this paper were also selected by ACC 2023 Program Committee for presentation at the Conference).
13. W. Kim and K. Choi*, “Current Sensorless State of Charge Estimation Approach for Onboard Battery Systems with an Unknown Current Estimator,” Journal of Energy Storage, vol. 52, pp. 104726, 2022.
12. K. Choi, Y. Kim, S.-K. Kim*, and K.-S. Kim*, “Computationally Efficient Model Predictive Torque Control of Permanent Magnet Synchronous Machines Using Numerical Techniques,” IEEE Transactions on Control Systems Technology, vol. 30, no. 4, pp. 1774-1781, 2022.
11. K. Choi, J. Byun, S. Lee, and I. G. Jang*, “Adaptive Equivalent Consumption Minimization Strategy (A-ECMS) for the HEVs with a Near-optimal Equivalent Factor Considering Driving Conditions”, IEEE Transactions on Vehicular Technology, vol. 71, no. 3, pp. 2538-2549, 2022.
10. J. H. Kim, K. Choi, and I. G. Jang*, “Model-Predictive-Control-based Time-optimal Trajectory Planning of the Distributed Actuation Mechanism Augmented by the Maximum Performance Evaluation,” Applied Sciences, vol. 11, No. 16, pp. 7513, 2021.
9. J. Byun and K. Choi*, “Effects Analysis of Light-duty Diesel Truck Hybrid Conversion Depending on Driving Style,” Transportation Research Part D: Transport and Environment, vol. 97, pp. 102958, 2021.
8. K. Choi, Y. Kim, K.-S. Kim*, and S.-K. Kim*, “Real-time Optimal Torque Control of Interior Permanent Magnet Synchronous Motors Based on a Numerical Optimization Technique,” IEEE Transactions on Control Systems Technology, vol 29, no. 4, pp. 1815-1822, 2021.
7. K. Choi, Y. Kim, S.-K. Kim*, and K.-S. Kim*, “Current and Position Sensor Fault Diagnosis Algorithm for PMSM Drives Based on Robust State Observer,” IEEE Transactions on Industrial Electronics, vol. 68. no. 6, pp. 5227-5236, 2021.
6. K. Choi, Y. Kim, S.-K. Kim*, and K.-S. Kim, “Auto-calibration of Position Offset for PMSM Drives with Uncertain Parameters,” Electronics Letters, vol 56, no. 20, pp. 1048-1051, 2020.
5. K. Choi, D. S. Kim, and S.-K. Kim*, “Disturbance Observer-based Offset-free Global Tracking Control for Input-constrained LTI Systems with DC/DC Buck Converter Applications,” Energies, vol. 13, no. 16, p. 4079, 2020.
4. K. Choi, Y. Kim, K.-S. Kim, and S.-K. Kim*, “Output Voltage Tracking Controller Embedding Auto-tuning Algorithm for DC/DC Boost Converters,” IET Power Electronics, vol. 12, no. 14, pp. 3767-3773, 2019.
3. K. Choi, K.-S. Kim*, and S.-K. Kim*, “Proportional-type Sensor Fault Diagnosis Algorithm for DC/DC Boost Converters Based on Disturbance Observer,” Energies, vol. 12, no. 8, p. 1412, 2019.
2. K. Choi, Y. Kim, K.-S. Kim*, and S.-K. Kim*, “Using the Stator Current Ripple Model for Real-time Estimation of Full Parameters of a Permanent Magnet Synchronous Motor,” IEEE Access, vol. 7, pp. 33369-33379, 2019.
1. K. Choi, P. Kim, K.-S. Kim*, and S. Kim, “Mixed-modality Stimulation to Evoke Two Modalities Simultaneously in One Channel for Electrocutaneous Sensory Feedback,” IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 25, no. 12, pp. 2258-2269, 2017.

Domestic Journal Papers

6. K. Na, Y. K. Kim, K. Choi, and W. Kim*, “A Current-sensor Error Compensation Algorithm for Battery Management Systems Based on Sigma-point Kalman Filter,” Journal of Institute of Control, Robotics and Systems, vol. 30, no. 10, pp. 1131-1138, 2024.
5. K. Choi and K.-S. Kim*, “Current Status and Future Trends in Synchronous Machine Control Technologies: A Focus on Torque Control,” Journal of Institute of Control, Robotics and Systems, vol. 30, no. 4, pp. 479-491, 2024.
4. K. Na, K. Choi, and W. Kim*, “A Current Sensor Fault-detecting Method for Electric Vehicle Battery Systems Based on Disturbance Observer,” Journal of Institute of Control, Robotics and Systems, vol. 29, no. 12, pp. 1052-1059, 2023.
3. H. Lee, Y. Lee, K. Choi*, and S.-K. Kim*, “Speed Tracking for Servo Systems via Active Pole-Zero Cancellation Stabilization Technique,” Journal of Institute of Control, Robotics and Systems, vol. 28, no. 11, pp. 1045-1051, 2022.
2. K. Choi and D. Kum*, “Current Status and Future Trends of Electrified Powertrain Technologies,” Mobility Research, vol. 2, no. 1, pp. 23-42, 2022.
1. J.-W. Hwang, K. Choi, H.-T. Seo, K.-S. Kim*, and S. Kim, “Controller Design for Motion Stabilization of a Turret on a Moving Platform,” Journal of Institute of Control, Robotics and Systems, vol. 23, no. 10, pp. 816-824, 2017.

Awards

– Outstanding Contribution Award, Journal of Mechanical Science and Technology, Sep 26, 2024
– Outstanding Young Researcher Award, The 39th Institute of Control, Robotics and Systems (ICROS) Annual Conference, Jul 3, 2024
– Best Paper Award, The 39th Institute of Control, Robotics and Systems (ICROS) Annual Conference, Jul 3, 2024
– Outstanding Contribution Award, Journal of Mechanical Science and Technology, Mar 27, 2024
– Outstanding Young Researcher Award, The 23rd International Conference on Control, Automation, and Systems (ICCAS), Oct 19, 2023
– One Best Paper Award and Two Undergraduate Paper Awards, The 38th Institute of Control, Robotics and Systems (ICROS) Annual Conference, Jun 22, 2023
– Best Paper Award, 2021 Korean Society of Automotive Engineers (KSAE) Fall Conference, Dec 16, 2021
– Best Paper Award, The 52nd Korean Institute of Electrical Engineers (KIEE) Summer Conference, Sep 13, 2021
– Outstanding Achievement Summa Cum Laude Award, Department of Mechanical Engineering, KAIST, Highest honor by the department for distinguished academic excellence in 2010, 2011

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