Peer-reviewed Journals
J1. Data-Driven Baseline Estimation of Residential Buildings for Demand Response
Saehong Park, Seunghyoung Ryu, Yohwan Choi, Jihyo Kim, Hongseok Kim
Energies Journal, 2015
J2. Optimal Experimental Design for Parameterization of an Electrochemical Lithium-Ion Battery Model
Saehong Park, Dylan Kato, Zach Gima, Reinhardt Klein, Scott Moura
Journal of the Electrochemical Society, 2018
J3. A Passive Interfacial Thermal Regulator based on Shape Memory Alloy and its Application to Battery Thermal Management
Menglong Hao, Jian Li, Saehong Park, Scott Moura, Chris Dames
Nature Energy, 2018
J4. Nonlinear State and Parameter Estimation for Lithium-Ion Batteries with Thermal Coupling
Dong Zhang, Luis D. Couto, Saehong Park, Preet Gill, Scott Moura
International Federation of Automatic Control (IFAC) conference World Congress, 2020,
J5. Reinforcement Learning versus PDE Backstepping and PI Control for Congested Freeway Traffic
Huan Yu * , Saehong Park * , Alexandre Bayen, Scott Moura, Miroslav Krstic
IEEE Transactions on Control Systems Technology, 2021
J6. Faster and safer charge of Li-ion batteries: Feedback control makes the difference
Luis Couto, Raffaele Romagnoli, Saehong Park, Dong Zhang, Scott Moura, Michel Kinnaert, Emanuele Garone
IEEE Transactions on Control Systems Technology, 2021
J7. A Deep Reinforcement Learning Framework for Fast Charging Strategy of Li-ion Batteries
Saehong Park, Andrea Pozzi, Michael Whitemeyer, Hector Perez, Aaron Kandel, Geumbee Kim, Yohwan Choi, Won Tae Joe, Davide Raimondo, Scott Moura
IEEE Transactions on Transportation Electrification, 2022
J8. Beyond Battery State of Charge Estimation: Observer for Electrode-Level State and Cyclable Lithium with Electrolyte Dynamics
Dong Zhang, Saehong Park, Luis Couto, Venkat Viswanathan, Scott Moura
IEEE Transactions on Transportation Electrification, 2022
J9. Distributionally Robust Surrogate Optimal Control for High-Dimensional Systems
Aaron Kandel, Saehong Park, Scott Moura
In review
J10. Integration of Hardware and Software In Battery Management Towards Battery Artificial Intelligence
Saehong Park, Scott Moura, Kyoungtae Lee
In review
Proceedings
C1. A Framework for Baseline Load Estimation in Demand Response: Data Mining Approach
Saehong Park, Seunghyoung Ryu, Yohwan Choi, Hongseok Kim
IEEE International Conference on Smart Grid Communications, 2014
C2. Hybrid Electrochemical Modeling with Recurrent Neural Networks for Li-ion Batteries
Saehong Park, Dong Zhang, Scott Moura
IEEE American Control Conference (ACC), 2017
C3. Optimal Input Design for Parameter Identification in an Electrochemical Li-ion Battery Model
Saehong Park, Dylan Kato, Zach Gima, Reinhardt Klein, Scott Moura
IEEE American Control Conference (ACC), 2018, Best Student Paper Finalist
C4. Distributionally Robust Surrogate Optimal Control for Large-Scale Dynamical Systems
Aaron Kandel, Saehong Park, Hector Perez, Geumbee Kim, Yohwan Choi, HyoungJun Ahn, Wontae Joe, Scott Moura
IEEE American Control Conference (ACC), 2020,
C5. Reinforcement Learning-based Fast Charging Control Strategy for Li-ion Batteries
Saehong Park, Andrea Pozzi, Michael Whitmeyer, Won Tae Joe, Davide M Raimondo, Scott Moura
IEEE Conference on Control Technology and Applications (CCTA), 2020,
C6. Optimal Control of Battery Fast Charging Based-on Pontryagin’s Minimum Principle
Saehong Park, Donggun Lee, Hyoung Jun Ahn, Claire Tomlin, Scott Moura
IEEE Conference on Decision and Control (CDC), 2020
C8. Reinforcement Learning vs. Backstepping Control of Stop-and-Go Traffic
Huan Yu, Saehong Park, Scott Moura, Alexandre Bayen, Miroslav Krstic
arxiv preprint arXiv:1904.12957,
C9. Estimation of Cyclable Lithium for Li-ion Battery State-of-Health Monitoring
Saehong Park, Dong Zhang, Reinhardt Klein, Scott Moura
IEEE American Control Conference (ACC), 2021.
C10. Faster and safer charge of Li-ion batteries: Feedback control makes the difference
Luis Couto, Raffaele Romagnoli, Saehong Park, Dong Zhang, Scott Moura, Michel Kinnaert, Emanuele Garone
IEEE Conference on Control Technology and Applications (CCTA), 2022,