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A comparative study of 13 deep reinforcement learning based energy management methods for a hybrid electric vehicle

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  1. Li, Jianwei & Liu, Jie & Yang, Qingqing & Wang, Tianci & He, Hongwen & Wang, Hanxiao & Sun, Fengchun, 2025. "Reinforcement learning based energy management for fuel cell hybrid electric vehicles: A comprehensive review on decision process reformulation and strategy implementation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 213(C).
  2. Iqbal, Najam & Wang, Hu & Zheng, Zunqing & Yao, Mingfa, 2024. "Reinforcement learning-based heuristic planning for optimized energy management in power-split hybrid electric heavy duty vehicles," Energy, Elsevier, vol. 302(C).
  3. Wang, Siyu & Yang, Duo & Yan, Fuhui & Yu, Kunjie, 2024. "Comparison of deep reinforcement learning-based energy management strategies for fuel cell vehicles considering economics, durability and adaptability," Energy, Elsevier, vol. 307(C).
  4. Huang, Ruchen & He, Hongwen & Su, Qicong, 2024. "An intelligent full-knowledge transferable collaborative eco-driving framework based on improved soft actor-critic algorithm," Applied Energy, Elsevier, vol. 375(C).
  5. Peng, Jiankun & Shen, Yang & Wu, ChangCheng & Wang, Chunhai & Yi, Fengyan & Ma, Chunye, 2023. "Research on energy-saving driving control of hydrogen fuel bus based on deep reinforcement learning in freeway ramp weaving area," Energy, Elsevier, vol. 285(C).
  6. Liang, Zhaowen & Ruan, Jiageng & Wang, Zhenpo & Liu, Kai & Li, Bin, 2024. "Soft actor-critic-based EMS design for dual motor battery electric bus," Energy, Elsevier, vol. 288(C).
  7. Shi, Dehua & Xu, Han & Wang, Shaohua & Hu, Jia & Chen, Long & Yin, Chunfang, 2024. "Deep reinforcement learning based adaptive energy management for plug-in hybrid electric vehicle with double deep Q-network," Energy, Elsevier, vol. 305(C).
  8. Juan Carlos Paredes-Rojas & Ramón Costa-Castelló & Rubén Vázquez-Medina & Juan Alejandro Flores-Campos & Christopher Rene Torres-San Miguel, 2025. "Experimental Study on Using Biodiesel in Hybrid Electric Vehicles," Energies, MDPI, vol. 18(7), pages 1-22, March.
  9. Jiang, Zewei & Hou, Zhuoran & Chu, Liang & Zhao, Di & Jiang, Jingjing & Yang, Jun & Zhang, Yuanjian, 2025. "An explicit predictive controller for fuel-cell electric vehicles incorporating the hierarchical architecture," Applied Energy, Elsevier, vol. 383(C).
  10. Jia, Bin & Li, Fan & Sun, Bo, 2024. "Knowledge-network-embedded deep reinforcement learning: An innovative way to high-efficiently develop an energy management strategy for the integrated energy system with renewable energy sources and m," Energy, Elsevier, vol. 301(C).
  11. Cui, Feifei & An, Dou & Xi, Huan, 2024. "Integrated energy hub dispatch with a multi-mode CAES–BESS hybrid system: An option-based hierarchical reinforcement learning approach," Applied Energy, Elsevier, vol. 374(C).
  12. Wilberforce, Tabbi & Anser, Afaaq & Swamy, Jangam Aishwarya & Opoku, Richard, 2023. "An investigation into hybrid energy storage system control and power distribution for hybrid electric vehicles," Energy, Elsevier, vol. 279(C).
  13. 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).
  14. Nafiseh Mazaheri & Daniel Santamargarita & Emilio Bueno & Daniel Pizarro & Santiago Cobreces, 2024. "A Deep Reinforcement Learning Approach to DC-DC Power Electronic Converter Control with Practical Considerations," Energies, MDPI, vol. 17(14), pages 1-22, July.
  15. Angel Recalde & Ricardo Cajo & Washington Velasquez & Manuel S. Alvarez-Alvarado, 2024. "Machine Learning and Optimization in Energy Management Systems for Plug-In Hybrid Electric Vehicles: A Comprehensive Review," Energies, MDPI, vol. 17(13), pages 1-39, June.
  16. Huang, Ruchen & He, Hongwen & Su, Qicong & Härtl, Martin & Jaensch, Malte, 2025. "Type- and task-crossing energy management for fuel cell vehicles with longevity consideration: A heterogeneous deep transfer reinforcement learning framework," Applied Energy, Elsevier, vol. 377(PC).
  17. 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).
  18. Chen, Jiaxin & Tang, Xiaolin & Wang, Meng & Li, Cheng & Li, Zhangyong & Qin, Yechen, 2025. "Enhanced applicability of reinforcement learning-based energy management by pivotal state-based Markov trajectories," Energy, Elsevier, vol. 319(C).
  19. Zhang, Dehai & Li, Junhui & Guo, Ningyuan & Liu, Yonggang & Shen, Shiquan & Wei, Fuxing & Chen, Zheng & Zheng, Jia, 2024. "Adaptive deep reinforcement learning energy management for hybrid electric vehicles considering driving condition recognition," Energy, Elsevier, vol. 313(C).
  20. Álvaro Gómez-Barroso & Iban Vicente Makazaga & Ekaitz Zulueta, 2024. "Optimizing Hybrid Electric Vehicle Performance: A Detailed Overview of Energy Management Strategies," Energies, MDPI, vol. 18(1), pages 1-32, December.
  21. Tan, Yingqi & Xu, Jingyi & Ma, Junyi & Li, Zirui & Chen, Huiyan & Xi, Junqiang & Liu, Haiou, 2024. "A transferable perception-guided EMS for series hybrid electric unmanned tracked vehicles," Energy, Elsevier, vol. 306(C).
  22. Alessia Musa & Pier Giuseppe Anselma & Giovanni Belingardi & Daniela Anna Misul, 2023. "Energy Management in Hybrid Electric Vehicles: A Q-Learning Solution for Enhanced Drivability and Energy Efficiency," Energies, MDPI, vol. 17(1), pages 1-20, December.
  23. Wang, Jinhai & Du, Changqing & Yan, Fuwu & Hua, Min & Gongye, Xiangyu & Yuan, Quan & Xu, Hongming & Zhou, Quan, 2025. "Bayesian optimization for hyper-parameter tuning of an improved twin delayed deep deterministic policy gradients based energy management strategy for plug-in hybrid electric vehicles," Applied Energy, Elsevier, vol. 381(C).
  24. Zhou, Jie & Zhang, Tiezhu & Zhang, Hongxin & Zhang, Zhen & Hong, Jichao & Yang, Jian, 2024. "Energy management strategy for electro-hydraulic hybrid electric vehicles considering optimal mode switching: A soft actor-critic approach trained on a multi-modal driving cycle," Energy, Elsevier, vol. 305(C).
  25. Fan Wang & Yina Hong & Xiaohuan Zhao, 2025. "Research and Comparative Analysis of Energy Management Strategies for Hybrid Electric Vehicles: A Review," Energies, MDPI, vol. 18(11), pages 1-28, May.
  26. Chen, Jiaxin & Tang, Xiaolin & Yang, Kai, 2024. "A unified benchmark for deep reinforcement learning-based energy management: Novel training ideas with the unweighted reward," Energy, Elsevier, vol. 307(C).
  27. 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).
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