Journal

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International Journal 

• Kim, H., Jeong, J., & Lee, H. (2026). Comparison of Reinforcement Learning-based Algorithm for Eco-Driving Control in Electric Vehicles. International Journal of Precision Engineering and Manufacturing-Green Technology, 1-13. [link]

• Ko, S., Ryu, S., Han, J., Han, J., Di Russo, M., & Lee, H. (2026). Data-Driven Approaches to Energy Efficiency Prediction in Electric Vehicles. International Journal of Automotive Technology, 1-11. [link]

• Lee, H., Kim, H., Kim, H., & Kim, H. (2025). Optimal vehicle-to-grid charge scheduling for electric vehicles based on dynamic programming. Energies, 18(5), 1109. [link]

• Kim, S., Lee, H., Kim, J., & Park, G. (2024). Online adaptive identification of clutch torque transmissibility for the drivability consistency of high-performance production vehicles. Control Engineering Practice, 147, 105926. [link]

• Kim, K., Kim, J., Choi, H., Kwon, O., Jang, Y., Ryu, S., ... & Cha, S. W. (2023). 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. Energy, 266, 126441. [link]

• Lee, H., Kim, K., Kim, N., & Cha, S. W. (2022). Energy efficient speed planning of electric vehicles for car-following scenario using model-based reinforcement learning. Applied Energy, 313, 118460. [link]

• Kim, N., Zheng, C., Jeong, J., Lee, H., Lee, W., & Jeoung, H. (2021). Generic representations for hybrid powertrain configurations. International Journal of Automotive Technology, 22(6), 1683-1693. [link]

• Song, C., Kim, K., Sung, D., Kim, K., Yang, H., Lee, H., ... & Cha, S. W. (2021). A review of optimal energy management strategies using machine learning techniques for hybrid electric vehicles. International Journal of Automotive Technology, 22(5), 1437-1452. [link]

• Lee, W., Jeoung, H., Park, D., Kim, T., Lee, H., & Kim, N. (2021). A real-time intelligent energy management strategy for hybrid electric vehicles using reinforcement learning. IEEE Access, 9, 72759-72768. [link]

• Lee, H., & Cha, S. W. (2021). Energy management strategy of fuel cell electric vehicles using model-based reinforcement learning with data-driven model update. IEEE Access, 9, 59244-59254. [link]

• Lee, H., Gu, B., Cha, S. W., & Lim, W. (2021). Model based automated calibration for shift control of automatic transmission. International Journal of Automotive Technology, 22(2), 269-280. [link]

• Lee, H., & Cha, S. W. (2020). Reinforcement learning based on equivalent consumption minimization strategy for optimal control of hybrid electric vehicles. IEEE Access, 9, 860-871. [link] 

• Lee, H., Kim, N., & Cha, S. W. (2020). Model-based reinforcement learning for eco-driving control of electric vehicles. IEEE Access, 8, 202886-202896. [link]

• Lee, H., Kang, C., Park, Y. I., Kim, N., & Cha, S. W. (2020). Online data-driven energy management of a hybrid electric vehicle using model-based Q-learning. IEEE Access, 8, 84444-84454. [link]

• Lee, H., Song, C., Kim, N., & Cha, S. W. (2020). Comparative analysis of energy management strategies for HEV: Dynamic programming and reinforcement learning. IEEE Access, 8, 67112-67123. [link]

• Gu, B., Lee, H., Kang, C., Sung, D., Lee, S., Yun, S., ... & Cha, S. W. (2020). Receding Horizon Control of Cooling Systems for Large-Size Uninterruptible Power Supply Based on a Metal-Air Battery System. Energies, 13(7), 1611. [link]

• Lee, H., Sung, J., Lee, H., Zheng, C., Lim, W., & Cha, S. W. (2018). Model-based integrated control of engine and CVT to minimize fuel use. International Journal of Automotive Technology, 19(4), 687-694. [link]

• Lee, H., Jeong, J., Park, Y. I., & Cha, S. W. (2017). Energy management strategy of hybrid electric vehicle using battery state of charge trajectory information. International Journal of Precision Engineering and Manufacturing-Green Technology, 4(1), 79-86. [link]

Domestic Journal 

• Kim, H. J., Kim, D. M., Kim, S. H., & Lee, H. (2024). 강화학습에 기반한 전기차의 에너지 최적 주행제어. Journal of the Korean Society for Precision Engineering, 41(5), 355-364. 

• 이희윤. (2025). Powertrain, 변화하는 미래 모빌리티의 중심축. 오토저널, 47(12), 40-43.

• 이희윤. (2025). Vehicle to Grid, 전기자동차의 또 다른 미래. 오토저널, 47(10), 29-33.

• 이희윤. (2024). 두 개의 심장이 만드는 혁신 : 하이브리드 자동차의 발전과 미래. 오토저널, 46(11), 15-19.

• 이희윤. (2024). 미래 모빌리티의 지속 가능한 혁신 : 전동화 모빌리티 시스템. 오토저널, 46(11), 14-14.

• 이희윤. (2024). 실패와 도전을 통한 미래 모빌리티의 혁신 : 강화학습과 최적제어. 오토저널, 46(5), 54-57.