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Jiaxin Chen
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Year
Distributed deep reinforcement learning-based energy and emission management strategy for hybrid electric vehicles
X Tang, J Chen, T Liu, Y Qin, D Cao
IEEE Transactions on Vehicular Technology 70 (10), 9922-9934, 2021
1032021
Double deep reinforcement learning-based energy management for a parallel hybrid electric vehicle with engine start–stop strategy
X Tang, J Chen, H Pu, T Liu, A Khajepour
IEEE Transactions on Transportation Electrification 8 (1), 1376-1388, 2021
882021
Visual detection and deep reinforcement learning-based car following and energy management for hybrid electric vehicles
X Tang, J Chen, K Yang, M Toyoda, T Liu, X Hu
IEEE Transactions on Transportation Electrification 8 (2), 2501-2515, 2022
482022
Deep reinforcement learning-based multi-objective control of hybrid power system combined with road recognition under time-varying environment
J Chen, H Shu, X Tang, T Liu, W Wang
Energy 239, 122123, 2022
342022
Uncertainties in onboard algorithms for autonomous vehicles: Challenges, mitigation, and perspectives
K Yang, X Tang, J Li, H Wang, G Zhong, J Chen, D Cao
IEEE Transactions on Intelligent Transportation Systems, 2023
172023
基于云控系统高精度地图驱动的深度强化学习型混合动力汽车集成控制
唐小林, 陈佳信, 高博麟, 杨凯, 胡晓松, 李克强
机械工程学报 58 (24), 163-177, 2022
62022
基于深度强化学习的混合动力汽车智能跟车控制与能量管理策略研究
唐小林, 陈佳信, 刘腾, 李佳承, 胡晓松
机械工程学报 57 (22), 237-246, 2021
62021
Transferred energy management strategies for hybrid electric vehicles based on driving conditions recognition
T Liu, X Tang, J Chen, H Wang, W Tan, Y Yang
2020 IEEE Vehicle Power and Propulsion Conference (VPPC), 1-6, 2020
62020
Deep reinforcement learning-based integrated control of hybrid electric vehicles driven by lane-level high definition map
J Chen, S Li, K Yang, C Wei, X Tang
IEEE Transactions on Transportation Electrification, 2023
52023
Adaptive energy management for real driving conditions via transfer reinforcement learning
T Liu, W Tan, X Tang, J Chen, D Cao
arXiv preprint arXiv:2007.12560, 2020
42020
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Articles 1–10