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Battery health-aware and naturalistic data-driven energy management for hybrid electric bus based on TD3 deep reinforcement learning algorithm

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  1. Li, Hao & Zhou, Xingfei & Hu, Ziyang & Zhang, Houcheng, 2025. "Waste heat recycling from phosphoric acid fuel cells for desalination with hydrophilic modified tubular stills: Performance prediction and regulation," Energy, Elsevier, vol. 317(C).
  2. Hou, Shengyan & Chen, Hong & Liu, Xuan & Cui, Jinghan & Zhao, Jing & Gao, Jinwu, 2025. "Hierarchical model predictive control for energy management and lifespan protection in fuel cell electric vehicles," Energy, Elsevier, vol. 319(C).
  3. Liu, Zemin Eitan & Li, Yong & Zhou, Quan & Shuai, Bin & Hua, Min & Xu, Hongming & Xu, Lubing & Tan, Guikun & Li, Yanfei, 2025. "Real-time energy management for HEV combining naturalistic driving data and deep reinforcement learning with high generalization," Applied Energy, Elsevier, vol. 377(PA).
  4. Xiaodong Liu & Hongqiang Guo & Xingqun Cheng & Juan Du & Jian Ma, 2022. "A Robust Design of the Model-Free-Adaptive-Control-Based Energy Management for Plug-In Hybrid Electric Vehicle," Energies, MDPI, vol. 15(20), pages 1-24, October.
  5. Huang, Ruchen & He, Hongwen & Su, Qicong & Härtl, Martin & Jaensch, Malte, 2024. "Enabling cross-type full-knowledge transferable energy management for hybrid electric vehicles via deep transfer reinforcement learning," Energy, Elsevier, vol. 305(C).
  6. Jia, Chunchun & Li, Kunang & He, Hongwen & Zhou, Jiaming & Li, Jianwei & Wei, Zhongbao, 2023. "Health-aware energy management strategy for fuel cell hybrid bus considering air-conditioning control based on TD3 algorithm," Energy, Elsevier, vol. 283(C).
  7. Xue, Lin & Zhang, Yao & Wang, Jianxue & Li, Haotian & Li, Fangshi, 2024. "Privacy-preserving multi-level co-regulation of VPPs via hierarchical safe deep reinforcement learning," Applied Energy, Elsevier, vol. 371(C).
  8. Dai, Churong & Zuo, Wei & Li, Qingqing & Zhou, Kun & Huang, Yuhan & Zhang, Guangde & E, Jiaqiang, 2024. "Energy conversion efficiency improvement studies on the hydrogen-fueled micro planar combustor with multi-baffles for thermophotovoltaic applications," Energy, Elsevier, vol. 313(C).
  9. Niu, Zegong & He, Hongwen, 2024. "A data-driven solution for intelligent power allocation of connected hybrid electric vehicles inspired by offline deep reinforcement learning in V2X scenario," Applied Energy, Elsevier, vol. 372(C).
  10. Xin Liu & Guojing Shi & Changbo Yang & Enyong Xu & Yanmei Meng, 2024. "Co-Optimization of Speed Planning and Energy Management for Plug-In Hybrid Electric Trucks Passing Through Traffic Light Intersections," Energies, MDPI, vol. 17(23), pages 1-22, November.
  11. Wang, Zhong & Zhao, Yahui & Zhang, Yahui & Tian, Yang & Jiao, Xiaohong, 2024. "Safe off-policy reinforcement learning on eco-driving for a P2-P3 hybrid electric truck," Energy, Elsevier, vol. 313(C).
  12. He, Hongwen & Su, Qicong & Huang, Ruchen & Niu, Zegong, 2024. "Enabling intelligent transferable energy management of series hybrid electric tracked vehicle across motion dimensions via soft actor-critic algorithm," Energy, Elsevier, vol. 294(C).
  13. Huang, Ruchen & He, Hongwen & Su, Qicong, 2024. "Smart energy management for hybrid electric bus via improved soft actor-critic algorithm in a heuristic learning framework," Energy, Elsevier, vol. 309(C).
  14. Fang, Shuo & Hu, Shuangxi & Liu, Yuntao & Zhao, Chunhui & Wang, Ying, 2025. "Power management unit with maximum-efficiency-point-tracking to enhance the efficiency of micro DMFC stack," Energy, Elsevier, vol. 315(C).
  15. Basma, Hussein & Mansour, Charbel & Haddad, Marc & Nemer, Maroun & Stabat, Pascal, 2023. "A novel method for co-optimizing battery sizing and charging strategy of battery electric bus fleets: An application to the city of Paris," Energy, Elsevier, vol. 285(C).
  16. Feng, Zhiyan & Zhang, Qingang & Zhang, Yiming & Fei, Liangyu & Jiang, Fei & Zhao, Shengdun, 2024. "Practicability analysis of online deep reinforcement learning towards energy management strategy of 4WD-BEVs driven by dual-motor in-wheel motors," Energy, Elsevier, vol. 290(C).
  17. Bolin He & Yong Chen & Qiang Wei & Cong Wang & Changyin Wei & Xiaoyu Li, 2023. "Performance Comparison of Pure Electric Vehicles with Two-Speed Transmission and Adaptive Gear Shifting Strategy Design," Energies, MDPI, vol. 16(7), pages 1-21, March.
  18. Yuemin Zheng & Jin Tao & Qinglin Sun & Hao Sun & Zengqiang Chen & Mingwei Sun, 2023. "Adaptive Active Disturbance Rejection Load Frequency Control for Power System with Renewable Energies Using the Lyapunov Reward-Based Twin Delayed Deep Deterministic Policy Gradient Algorithm," Sustainability, MDPI, vol. 15(19), pages 1-25, October.
  19. Dawei Zhong & Bolan Liu & Liang Liu & Wenhao Fan & Jingxian Tang, 2025. "Artificial Intelligence Algorithms for Hybrid Electric Powertrain System Control: A Review," Energies, MDPI, vol. 18(8), pages 1-30, April.
  20. Hou, Guolian & Huang, Ting & Zheng, Fumeng & Huang, Congzhi, 2024. "A hierarchical reinforcement learning GPC for flexible operation of ultra-supercritical unit considering economy," Energy, Elsevier, vol. 289(C).
  21. He, Hongwen & Meng, Xiangfei & Wang, Yong & Khajepour, Amir & An, Xiaowen & Wang, Renguang & Sun, Fengchun, 2024. "Deep reinforcement learning based energy management strategies for electrified vehicles: Recent advances and perspectives," Renewable and Sustainable Energy Reviews, Elsevier, vol. 192(C).
  22. Wu, Changcheng & Peng, Jiankun & Chen, Jun & He, Hongwen & Pi, Dawei & Wang, Zhongwei & Ma, Chunye, 2024. "Battery health-considered energy management strategy for a dual-motor two-speed battery electric vehicle based on a hybrid soft actor-critic algorithm with memory function," Applied Energy, Elsevier, vol. 376(PB).
  23. Huang, Xuejin & Zhang, Jingyi & Ou, Kai & Huang, Yin & Kang, Zehao & Mao, Xuping & Zhou, Yujie & Xuan, Dongji, 2024. "Deep reinforcement learning-based health-conscious energy management for fuel cell hybrid electric vehicles in model predictive control framework," Energy, Elsevier, vol. 304(C).
  24. Zhang, Chuntao & Huang, Wenhui & Zhou, Xingyu & Lv, Chen & Sun, Chao, 2024. "Expert-demonstration-augmented reinforcement learning for lane-change-aware eco-driving traversing consecutive traffic lights," Energy, Elsevier, vol. 286(C).
  25. Zhou, Yujie & Huang, Yin & Mao, Xuping & Kang, Zehao & Huang, Xuejin & Xuan, Dongji, 2024. "Research on energy management strategy of fuel cell hybrid power via an improved TD3 deep reinforcement learning," Energy, Elsevier, vol. 293(C).
  26. Tang, Tianfeng & Peng, Qianlong & Shi, Qing & Peng, Qingguo & Zhao, Jin & Chen, Chaoyi & Wang, Guangwei, 2024. "Energy management of fuel cell hybrid electric bus in mountainous regions: A deep reinforcement learning approach considering terrain characteristics," Energy, Elsevier, vol. 311(C).
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