| Data-efficient parameter identification of electrochemical lithium-ion battery model using deep Bayesian harmony search M Kim, H Chun, J Kim, K Kim, J Yu, T Kim, S Han Applied Energy 254, 113644, 2019 | 96 | 2019 |
| Data-driven state of health estimation of li-ion batteries with RPT-reduced experimental data J Kim, H Chun, M Kim, J Yu, K Kim, T Kim, S Han Ieee Access 7, 106987-106997, 2019 | 55 | 2019 |
| Estimation of Li-ion battery state of health based on multilayer perceptron: As an EV application J Kim, J Yu, M Kim, K Kim, S Han IFAC-PapersOnLine 51 (28), 392-397, 2018 | 54 | 2018 |
| Real-time parameter estimation of an electrochemical lithium-ion battery model using a long short-term memory network H Chun, J Kim, J Yu, S Han Ieee Access 8, 81789-81799, 2020 | 50 | 2020 |
| Parameter identification of lithium-ion battery pseudo-2-dimensional models using genetic algorithm and neural network cooperative optimization J Kim, H Chun, J Baek, S Han Journal of Energy Storage 45, 103571, 2022 | 46 | 2022 |
| Parameter identification of an electrochemical lithium-ion battery model with convolutional neural network H Chun, J Kim, S Han IFAC-PapersOnLine 52 (4), 129-134, 2019 | 44 | 2019 |
| Adaptive exploration harmony search for effective parameter estimation in an electrochemical lithium-ion battery model H Chun, M Kim, J Kim, K Kim, J Yu, T Kim, S Han IEEE Access 7, 131501-131511, 2019 | 40 | 2019 |
| Effective and practical parameters of electrochemical Li-ion battery models for degradation diagnosis J Kim, H Chun, M Kim, S Han, JW Lee, TK Lee Journal of Energy Storage 42, 103077, 2021 | 35 | 2021 |
| State of charge estimation for lithium ion battery based on reinforcement learning M Kim, K Kim, J Kim, J Yu, S Han IFAC-PapersOnLine 51 (28), 404-408, 2018 | 24 | 2018 |
| Capacity estimation of lithium-ion batteries for various aging states through knowledge transfer H Chun, J Kim, M Kim, J Lee, T Lee, S Han IEEE Transactions on Transportation Electrification 8 (2), 1758-1768, 2021 | 18 | 2021 |
| Improving aging identifiability of lithium-ion batteries using deep reinforcement learning H Chun, K Yoon, J Kim, S Han IEEE Transactions on Transportation Electrification 9 (1), 995-1007, 2022 | 12 | 2022 |
| Frequency/voltage regulation with STATCOM with battery in high voltage transmission system J Park, J Yu, J Kim, M Kim, K Kim, S Han IFAC-PapersOnLine 49 (27), 296-300, 2016 | 8 | 2016 |
| Method and apparatus for estimating state of health of battery JW Lee, J Kim, C Huiyong, HAN Soohee, TK Lee US Patent 11,422,192, 2022 | 2 | 2022 |
| 신경망에 기반한 리튬이온 배터리의 전기화학모델 열화 김정수， 전휘용， 한수희 대한전기학회 학술대회 논문집, 90-91, 2019 | 1 | 2019 |
| 단계 변화 변이 유전 알고리즘을 활용한 리튬이온 배터리의 파라미터 추정 김정수， 전휘용， 한수희 대한전기학회 학술대회 논문집, 42-43, 2021 | | 2021 |
| 정규 가중치 유전 알고리즘을 이용한 배터리 전기화학 모델 파라미터 추정 윤관웅， 전휘용， 김정수， 한수희 제어로봇시스템학회 국내학술대회 논문집, 589-590, 2021 | | 2021 |
| A New Update Rule of RLSEKF-based Joint-estimation Filters for Real-time SOH SOC Identification K Kim, M Kim, S Kang, J Yu, J Kim, H Chun, S Han arXiv preprint arXiv:2003.09839, 2020 | | 2020 |
| 베이지안 뉴럴네트워크를 이용한 리튬이온배터리 전기화학모델 파라미터 추정 김민호， 김광래， 김태균， 전휘용， 김정수， 유정욱， 한수희 제어로봇시스템학회 국내학술대회 논문집, 55-56, 2019 | | 2019 |
| 다층 퍼셉트론에 기반한 리튬 이온 배터리의 SOH 추정 기법 김정수， 전휘용， 유정욱， 한수희， 이장우， 이태경 한국자동차공학회 춘계학술대회, 1129-1130, 2019 | | 2019 |
| MFF-RLS 와 EKF 실시간 연동 알고리즘을 이용한 EV 용 Li-ion 배터리의 고 정밀 SOC 추정 김광래， 김민호， 유정욱， 김정수， 이학준， 한수희 대한전기학회 학술대회 논문집, 221-223, 2017 | | 2017 |
Soohee HanProfessor of Electrical Engineering and Convergence IT Engineering, POSTECH在 postech.ac.kr 的电子邮件经过验证
