Seunghun Jang
Seunghun Jang / 장승훈
Ph.D. Student
shjang7071@kaist.ac.kr
0009-0006-1091-3200
Google Scholar
SHJang7071
12893948

Description

Seunghun Jang received his B.S. degree in the Department of Bio-Industrial Machinery Engineering from Pusan National University in 2021. He joined the MIC Lab in 2022 and went on to obtain the M.S. degree in the Department of Mechanical Engineering from Gwangju Institute of Science and Technology (GIST) in 2024. He is currently pursuing a Ph.D at the Cho Chun Shik Graduate School of Mobility at the KAIST, where he continues his research in the MIC Lab.

His current research interests include state estimation of Synchronous Machines (SMs), physics-informed online learning of SMs, optimal control of electric drives.

Projects

Publications


Quick Links


Papers Under Review


    2026
  1. [New] Full-Horizon Predictive Battery Thermal Management via Low-Dimensional Link-Costate Optimization
    Seunghun Jang , Geunyoung Park, Kyunghwan Choi*
    American Control Conference (ACC) , 2027
  2. [New] Online Adaptive Differentiable Predictive Control With Application to IPMSM MTPA Control
    Changeun Park, Seunghun Jang , Kyunghwan Choi*
    IEEE International Transportation Electrification Conference & Expo, Asia-Pacific (ITEC-AP) , 2026

International Conference Papers


    2026
  1. Online Physics-Informed Learning-Based Identification: Application to Adaptive MTPA Control of Synchronous Machines
    Seunghun Jang , Kyunghwan Choi*
    International Federation of Automatic Control (IFAC) World Congress (accepted, in press), 2026 [📃 Full-Text]

    2. 2025
  2. Physics-Informed Online Learning of Flux Linkage Model for Synchronous Machine
    Seunghun Jang , Myeongseok Ryu, Kyunghwan Choi*
    Annual Conference of the IEEE Industrial Electronics Society (IECON) , pp. 1-7, 2025 [🌐 Online] [📃 Full-Text] [💾 Cite] [GitHub logo Code]

    3. 2024
  3. Neural Network-based Nonlinearity Estimation of Voltage Source Inverter for Synchronous Machine Drives
    Yeongho Jeong, Seunghun Jang , Kyunghwan Choi*
    IEEE International Symposium on Industrial Electronics (ISIE) , pp. 1-5, 2024 [🌐 Online] [GitHub logo Code]
  4. Extended State Observer Based Stator Flux Linkage Estimation of Nonlinear Synchronous Machines
    Seunghun Jang , Bernd Pfeifer, Christoph M. Hackl, Kyunghwan Choi*
    IEEE International Symposium on Industrial Electronics (ISIE) , pp. 1-5, 2024 [🌐 Online] [📃 Full-Text] [GitHub logo Code]

    5. 2023
  5. Stator Flux Linkage Estimation of Synchronous Machines Based on Integration Error Estimation for Improved Transient Performance
    Seunghun Jang , Kyunghwan Choi*
    IEEE Conference on Decision and Control (CDC) , pp. 4197-4202, 2023 [🌐 Online] [📃 Full-Text] [GitHub logo Code]

Domestic Conference Papers


    2026
  1. [New] V2X-Based Predictive Thermal Management for Battery Electric Vehicles
    전기차의 V2X 기반 예측 열관리 제어
    Seunghun Jang , Kyunghwan Choi*
    대한전기자동차학회 (KIEV) (accepted, in press), 2026 [📃 Full-Text]
  2. Concurrent Learning-Based Adaptive Online Identification of Battery Thermal Dynamics
    동시학습 기반 배터리 열동역학 온라인 잔차 학습
    Seunghun Jang , Kyunghwan Choi*
    제어로봇시스템학회 (ICROS) , pp. 525-526, 2026 [🌐 DBpia Online] [📃 Full-Text]

    3. 2025
  3. Physics-Informed Online Learning for Stator Flux Linkage Estimation in Synchronous Machines
    동기전동기의 실시간 고정자 쇄교자속 추정을 위한 물리정보기반 학습
    Seunghun Jang , Kyunghwan Choi*
    제어로봇시스템학회 (ICROS) , pp. 592-593, 2025 [🌐 DBpia Online] [📃 Full-Text]

    4. 2024
  4. Stator Flux Linkage Estimation of Nonlinear Synchronous Machines Based on the State Observer
    상태 관측기 기반 비선형 동기기의 고정자 쇄교자속 추정
    Seunghun Jang , Kyunghwan Choi*
    제어로봇시스템학회 (ICROS) , pp. 308-309, 2024 [🌐 DBpia Online] [📃 Full-Text]

    5. 2023
  5. Sator Flux Linkage Estimation Method of Synchronous Machines Based on Integration Error Estimation
    적분 오차 추정 기반 동기 전동기의 쇄교 자속 추정 기법
    Seunghun Jang , Kyunghwan Choi*
    제어로봇시스템학회 (ICROS) , pp. 177-178, 2023 [🌐 DBpia Online] [📃 Full-Text]

Master's Theses


    2024
  1. Online Stator Flux Linkage Estimation of Synchronous Machines
    Seunghun Jang , Kyunghwan Choi*
    Gwangju Institute of Science and Technology (GIST) Library, 2024 [📃 Full-Text]