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ORCIDHeeyun Lee
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2020 – today
- 2021
[j6]Heeyun Lee
, Sukwon Cha:
Reinforcement Learning Based on Equivalent Consumption Minimization Strategy for Optimal Control of Hybrid Electric Vehicles. IEEE Access 9: 860-871 (2021)- [j5]Heeyun Lee, Sukwon Cha:
Energy Management Strategy of Fuel Cell Electric Vehicles Using Model-Based Reinforcement Learning With Data-Driven Model Update. IEEE Access 9: 59244-59254 (2021) - [j4]Woong Lee, Haeseong Jeoung, Dohyun Park, Tacksu Kim, Heeyun Lee, Namwook Kim:
A Real-Time Intelligent Energy Management Strategy for Hybrid Electric Vehicles Using Reinforcement Learning. IEEE Access 9: 72759-72768 (2021) - 2020
- [j3]Heeyun Lee, Changhee Song, Namwook Kim, Sukwon Cha:
Comparative Analysis of Energy Management Strategies for HEV: Dynamic Programming and Reinforcement Learning. IEEE Access 8: 67112-67123 (2020) - [j2]Heeyun Lee, Changbeom Kang, Yeong-il Park, Namwook Kim, Sukwon Cha:
Online Data-Driven Energy Management of a Hybrid Electric Vehicle Using Model-Based Q-Learning. IEEE Access 8: 84444-84454 (2020) - [j1]Heeyun Lee, Namwook Kim, Sukwon Cha:
Model-Based Reinforcement Learning for Eco-Driving Control of Electric Vehicles. IEEE Access 8: 202886-202896 (2020)
2010 – 2019
- 2017
- [c2]Changhee Song, Heeyun Lee, Changbeom Kang, Wonyoung Lee, Young B. Kim, Sukwon Cha:
Traffic speed prediction under weekday using convolutional neural networks concepts. Intelligent Vehicles Symposium 2017: 1293-1298 - [c1]Changboem Kang, Heeyun Lee, Jinseong Kim, Yeong-il Park, Sukwon Cha:
Component size and gear ratio optimization in PHEV powertrain. Intelligent Vehicles Symposium 2017: 1614-1618
Coauthor Index
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