Paper Publications
- [1] [1] Li Jie, Wu Xiaodong, Xu Min, and Liu Yonggang. Multiobjective Eco-Driving Strategy for Connected and Automated Electric Vehicles Considering Complex Urban Traffic Influence Factors[J]. IEEE Transactions on Transportation Electrification, 2024, 10(4): 10043-10058.（中科院1区）
- [2] [2] Wu Xiaodong, Li Jie, Su Chengrui, Fan Jiawei, and Xu Min. A Deep Reinforcement Learning Based Hierarchical Eco-Driving Strategy for Connected and Automated HEVs[J]. IEEE Transactions on Vehicular Technology, 2023, 72(11): 13901-13916.（中科院2区）
- [3] [3] Li Jie, Wu Xiaodong, Fan Jiawei, Liu Yonggang, and Xu Min. Overcoming driving challenges in complex urban traffic: A multi-objective eco-driving strategy via safety model based reinforcement learning[J]. Energy, 2023, 284: 128517.（中科院1区）
- [4] [4] Li Jie, Wu Xiaodong, Xu Min, and Liu Yonggang. Deep reinforcement learning and reward shaping based eco-driving control for automated HEVs among signalized intersections[J]. Energy, 2022, 251: 123924.（中科院1区）
- [5] [5] Li Jie, Wu Xiaodong, Xu Min, and Liu Yonggang. A real-time optimization energy management of range extended electric vehicles for battery lifetime and energy consumption[J]. Journal of Power Sources, 2021, 498: 229939.（中科院2区）
- [6] [6] Li Jie, Liu Yonggang, Qin Datong, Li Guang, and Chen Zheng. Research on Equivalent Factor Boundary of Equivalent Consumption Minimization Strategy for PHEVs[J]. IEEE Transactions on Vehicular Technology, 2020, 69(6): 6011-6024.（中科院2区）
- [7] [7] Liu Yonggang, Li Jie, Chen Zheng, Qin Datong, and Zhang Yi. Research on a multi-objective hierarchical prediction energy management strategy for range extended fuel cell vehicles[J]. Journal of Power Sources, 2019, 429: 55-66.（中科院2区）
- [8] [8] 李捷, 吴晓东, 许敏, 刘永刚. 基于强化学习的城市场景多目标生态驾驶策略[J]. 汽车工程, 2023, 45(10): 1791-1802.（EI）
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