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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. 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).
  2. 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.
  3. 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).
  4. 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).
  5. Zhao, Ganglei & Li, Xiang & Liu, Changxing & Zhang, Huiliu & Li, Po, 2026. "Experimental validation of real-time energy management for hybrid energy storage systems based on predictive wavelet transforms," Applied Energy, Elsevier, vol. 405(C).
  6. 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).
  7. Li, Xueliang & Liu, Yilong & Yan, Mei & Tian, Dayu & Yang, Shujun & Peng, Zengxiong, 2026. "Data-driven a convergence-enhanced fusion energy management strategy based on teacher agent guidance for hybrid electric vehicles," Applied Energy, Elsevier, vol. 404(C).
  8. Xiao, Yajing & Zhang, Jinning & Ruiz, Harold S. & Roumeliotis, Ioannis & Zhang, Xin, 2025. "Safe reinforcement learning-based energy management for fuel cell hybrid electric aircraft with longevity considerations," Energy, Elsevier, vol. 338(C).
  9. Zhang, Hao & Yang, Guixiang & Lei, Nuo & Chen, Chaoyi & Chen, Boli & Qiu, Lin, 2025. "Scenario-aware electric vehicle energy control with enhanced vehicle-to-grid capability: A multi-task reinforcement learning approach," Energy, Elsevier, vol. 335(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. 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).
  12. Chen, Sihan & Huang, Yin & Zhang, Jie & Yu, Xinshu & Lu, Yifan & Xuan, Dongji, 2025. "Research on a novel multi-agent deep reinforcement learning eco-driving framework," Energy, Elsevier, vol. 326(C).
  13. 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).
  14. Huang, Ruchen & He, Hongwen, 2025. "UpdatingEMS: An online updating framework for deep reinforcement learning-based energy management of fuel cell hybrid electric bus with integrated transfer learning," Applied Energy, Elsevier, vol. 402(PA).
  15. Nie, Zhigen & Feng, Yaxing & Lian, Yufeng, 2025. "Deep reinforcement learning-based hierarchical control strategy for energy management of intelligent fuel cell hybrid electric vehicles," Energy, Elsevier, vol. 326(C).
  16. 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).
  17. Huang, Ruchen & He, Hongwen & Su, Qicong & Wu, Jingda, 2025. "Towards sustainable and intelligent urban transportation: A novel deep transfer reinforcement learning framework for eco-driving of fuel cell buses," Energy, Elsevier, vol. 330(C).
  18. 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).
  19. Liu, Hui & You, Congwen & Han, Lijin & Yang, Ningkang & Liu, Baoshuai, 2025. "Off-road hybrid electric vehicle energy management strategy using multi-agent soft actor-critic with collaborative-independent algorithm," Energy, Elsevier, vol. 328(C).
  20. 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).
  21. 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).
  22. 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).
  23. 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).
  24. Nie, Zhigen & Song, Hao & Lian, Yufeng & Shi, Zhuangfeng, 2025. "Hierarchical optimization of SAC-driven speed planning and energy management in intelligent fuel cell hybrid vehicle platoons under complex traffic environments," Energy, Elsevier, vol. 334(C).
  25. 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).
  26. 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).
  27. 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).
  28. 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).
  29. 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).
  30. 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).
  31. 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.
  32. Mahmud, Sakib & Sayed, Aya Nabil & Himeur, Yassine & Nhlabatsi, Armstrong & Bensaali, Faycal, 2026. "A comprehensive review of deep reinforcement learning applications from centralized power generation to modern energy internet frameworks," Renewable and Sustainable Energy Reviews, Elsevier, vol. 226(PE).
  33. 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.
  34. 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.
  35. Chen, Jiawen & Zou, Yuan & Zhang, Jun & Zhang, Xudong & Du, Guodong & Meng, Yihao, 2026. "Optimal energy management at solar-integrated hubs for e-taxis with battery swapping and fast charging under power network constraints," Applied Energy, Elsevier, vol. 402(PB).
  36. Nie, Zhigen & Song, Hao & Lian, Yufeng & Shi, Zhuangfeng, 2025. "BiLSTM-ATTENTION-CNN predictive energy management based on ISSA optimization for intelligent fuel cell hybrid vehicle platoon," Energy, Elsevier, vol. 324(C).
  37. Zhang, Wei & Li, Jinchen & Ma, Hongfeng & Niu, Chengyong & Wang, Jixin & Yang, Zhiyu & Li, Lijun & Huang, Linsen, 2025. "Intelligent energy management in hybrid electric cycling work vehicles: A multi-task learning approach," Energy, Elsevier, vol. 326(C).
  38. 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).
  39. 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).
  40. 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).
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