| Comparative analysis of energy management strategies for HEV: Dynamic programming and reinforcement learning H Lee, C Song, N Kim, SW Cha IEEE Access 8, 67112-67123, 2020 | 120 | 2020 |
| Energy efficient speed planning of electric vehicles for car-following scenario using model-based reinforcement learning H Lee, K Kim, N Kim, SW Cha Applied Energy 313, 118460, 2022 | 73 | 2022 |
| Model-based reinforcement learning for eco-driving control of electric vehicles H Lee, N Kim, SW Cha IEEE Access 8, 202886-202896, 2020 | 71 | 2020 |
| Traffic speed prediction under weekday using convolutional neural networks concepts C Song, H Lee, C Kang, W Lee, YB Kim, SW Cha 2017 IEEE Intelligent Vehicles Symposium (IV), 1293-1298, 2017 | 69 | 2017 |
| Energy Management Strategy of Hybrid Electric Vehicle Using Battery State of Charge Trajectory Information H Lee, J Jeong, Y Park, SW Cha INTERNATIONAL JOURNAL OF PRECISION ENGINEERING AND MANUFACTURING-GREEN …, 2017 | 51 | 2017 |
| Online data-driven energy management of a hybrid electric vehicle using model-based Q-learning H Lee, C Kang, YI Park, N Kim, SW Cha IEEE Access 8, 84444-84454, 2020 | 50 | 2020 |
| Energy management strategy of fuel cell electric vehicles using model-based reinforcement learning with data-driven model update H Lee, SW Cha IEEE Access 9, 59244-59254, 2021 | 43 | 2021 |
| Reinforcement Learning based on Equivalent Consumption Minimization Strategy for Optimal Control of Hybrid Electric Vehicles H Lee, SW Cha IEEE Access 9, 860-871, 2020 | 43 | 2020 |
| A real-time intelligent energy management strategy for hybrid electric vehicles using reinforcement learning W Lee, H Jeoung, D Park, T Kim, H Lee, N Kim IEEE Access 9, 72759-72768, 2021 | 42 | 2021 |
| A review of optimal energy management strategies using machine learning techniques for hybrid electric vehicles C Song, K Kim, D Sung, K Kim, H Yang, H Lee, GY Cho, SW Cha International Journal of Automotive Technology 22, 1437-1452, 2021 | 35 | 2021 |
| Pre-diagnosis of flooding and drying in proton exchange membrane fuel cells by bagging ensemble deep learning models using long short-term memory and convolutional neural networks K Kim, J Kim, H Choi, O Kwon, Y Jang, S Ryu, H Lee, K Shim, T Park, ... Energy 266, 126441, 2023 | 30 | 2023 |
| A power management strategy for parallel PHEV using deep Q-networks C Song, H Lee, K Kim, SW Cha 2018 IEEE Vehicle Power and Propulsion Conference (VPPC), 1-5, 2018 | 29 | 2018 |
| Study on power management strategy of HEV using dynamic programming H Lee, C Kang, Y Park, SW Cha World Electric Vehicle Journal 8 (1), 274-280, 2016 | 22 | 2016 |
| Model validation of the chevrolet volt 2016 J Jeong, S Choi, N Kim, H Lee, K Stutenberg, A Rousseau SAE Technical Paper, 2018 | 18 | 2018 |
| Energy management strategy of hybrid electric vehicle using stochastic dynamic programming H Lee, SW Cha, H Kim, SJ Kim SAE Technical Paper, 2015 | 12 | 2015 |
| Power management strategy of hybrid electric vehicle using power split ratio line control strategy based on dynamic programming H Lee, Y Park, SW Cha 2015 15th International Conference on Control, Automation and Systems (ICCAS …, 2015 | 11 | 2015 |
| Component sizing for development of novel PHEV system H Lee, C Kang, J Kim, SW Cha, Y Park Transactions of the Korean Society of Automotive Engineers 24 (3), 330-337, 2016 | 8 | 2016 |
| Model-based integrated control of engine and CVT to minimize fuel use H Lee, J Sung, H Lee, C Zheng, W Lim, SW Cha International Journal of Automotive Technology 19, 687-694, 2018 | 7 | 2018 |
| Hydraulic pressure instruction-learning apparatus for hybrid vehicle and method using the same S Moon, D Park, SM Jeong, JH Lee, JU An, HY Lee, WS Lim, NW Kim, ... US Patent 9,283,957, 2016 | 7 | 2016 |
| Model based automated calibration for shift control of automatic transmission H Lee, B Gu, SW Cha, W Lim International Journal of Automotive Technology 22, 269-280, 2021 | 6 | 2021 |
Suk Won ChaSeoul National UniversityVerified email at snu.ac.kr