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 | 123 | 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 | 66 | 2018 |
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 | 59 | 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 | 44 | 2019 |
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 | 31 | 2018 |
Reliable online parameter identification of li-ion batteries in battery management systems using the condition number of the error covariance matrix M Kim, K Kim, S Han IEEE Access 8, 189106-189114, 2020 | 30 | 2020 |
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 | 9 | 2016 |
GK curve-based knee point prediction method for Li-ion batteries K Kim, M Kim, H Churr, G Lee, S Han 2021 21st International Conference on Control, Automation and Systems (ICCAS …, 2021 | 8 | 2021 |
Electrochemical–mechanical coupled model for computationally efficient prediction of long-term capacity fade of lithium-ion batteries K Kim, G Lee, H Chun, J Baek, H Pyeon, M Kim, S Han Journal of Energy Storage 86, 111224, 2024 | 6 | 2024 |
Low computational cost method for online parameter identification of Li-ion battery in battery management systems using matrix condition number M Kim, K Kim, S Han arXiv preprint arXiv:1912.02600, 2019 | 1 | 2019 |