IDEAS home Printed from https://ideas.repec.org/r/eee/rensus/v192y2024ics1364032123011061.html

Deep reinforcement learning based energy management strategies for electrified vehicles: Recent advances and perspectives

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Kahil, Hussain & Sharma, Shiva & Välisuo, Petri & Elmusrati, Mohammed, 2025. "Reinforcement learning for data center energy efficiency optimization: A systematic literature review and research roadmap," Applied Energy, Elsevier, vol. 389(C).
  2. Li, Menglin & Liu, Haoran & Yan, Mei & Guo, Boyu & Wu, Jingda & Jiang, Guokai & Fu, Xupeng, 2025. "Traffic scenario frozen callback and adaptive neuro-fuzzy inference system based energy management strategy for connected fuel cell buses," Applied Energy, Elsevier, vol. 387(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. Yazar, Ozan & Coskun, Serdar & Zhang, Fengqi & Li, Lin & Huang, Cong & Mei, Peng & Karimi, Hamid Reza, 2025. "A novel energy management strategy for hybrid electric vehicles using deep reinforcement incentive learning," Energy, Elsevier, vol. 334(C).
  5. Yang, Wei-Wei & Liu, Zhao & Song, Li-Dong & Lin, Yi-Wan & Zhang, Jian-Fei & Qu, Zhi-Guo, 2026. "Advancing low-Pt catalyst layer design from multi-scale to cross-scale synergy optimization for high-performance and durable proton exchange membrane fuel cell," Renewable and Sustainable Energy Reviews, Elsevier, vol. 230(C).
  6. Yu, Zidong & Cheng, Cheng & Liu, Yuan & Yu, Zeyu & Deng, Chao, 2026. "Stochastic degradation environment with prognostic agent: An interpretable framework for adaptive failure alarm with significant small actual remaining useful life," Reliability Engineering and System Safety, Elsevier, vol. 267(PA).
  7. 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).
  8. Kemper, Neele & Heider, Michael & Pietruschka, Dirk & Hähner, Jörg, 2025. "A comparative study of multi-objective and neuroevolutionary-based reinforcement learning algorithms for optimizing electric vehicle charging and load management," Applied Energy, Elsevier, vol. 391(C).
  9. 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).
  10. Wang, Han & Zhu, Dan & Chen, Bojun & Ren, Yuyue & Ning, Shichao & Zhao, Xuan, 2025. "An experimentally validated health-aware hierarchical energy management strategy for fuel cell heavy-duty trucks," Energy, Elsevier, vol. 341(C).
  11. Yong Wang & Jingda Wu & Hongwen He & Zhongbao Wei & Fengchun Sun, 2025. "Data-driven energy management for electric vehicles using offline reinforcement learning," Nature Communications, Nature, vol. 16(1), pages 1-16, December.
  12. Jiang, Kangrui & Tian, Zhongbei & Wen, Tao & Song, Kejian & Hillmansen, Stuart & Ochieng, Washington Yotto, 2025. "Collaborative optimization strategy of hydrogen fuel cell train energy and thermal management system based on deep reinforcement learning," Applied Energy, Elsevier, vol. 393(C).
  13. Lü, Xueqin & Zhu, Changan & Li, Yan & Zhang, Yu & Zhai, Xinrui & Qian, Shenchen, 2026. "Multi objective optimization of energy management for fuel cell electric vehicles under different driving conditions based on based on improved double Q-network algorithm," Energy, Elsevier, vol. 344(C).
  14. Hu, Dong & Huang, Chao & Wu, Jingda & Wei, Henglai & Pi, Dawei, 2025. "Enhancing data-driven energy management strategy via digital expert guidance for electrified vehicles," Applied Energy, Elsevier, vol. 381(C).
  15. Fu, Qingwen & Cheng, Dapeng, 2025. "Optimal hydrogen market participation and energy dispatch in multi-microgrids using dual-delayed gradient learning," Energy, Elsevier, vol. 335(C).
  16. Yang, Wanli & Guo, Xin & Dai, Wei, 2026. "Improved soft actor-critic based health energy management strategy design for a dual-motor battery electric vehicle," Energy, Elsevier, vol. 344(C).
  17. Ye, Jian & Xuan, Weiye & Guo, Qi & Liu, Yun & Wang, Benfei & Zhang, Xinan & Iu, Herbert Ho Ching, 2026. "An overview of reinforcement learning for power electronic converters: Topology derivation, parameter design, and control implementation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 228(C).
  18. Zhang, Hao & Lei, Nuo & Chen, Boli & Li, Bingbing & Li, Rulong & Wang, Zhi, 2024. "Modeling and control system optimization for electrified vehicles: A data-driven approach," Energy, Elsevier, vol. 310(C).
  19. Chen, Siliang & Liang, Xinbin & Zhang, Zheming & Zheng, Fei & Jin, Xinqiao & Du, Zhimin, 2025. "A general energy-aware framework with multi-modal information and multi-task coordination for smart management towards net-zero emissions in energy system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 212(C).
  20. Tong, He & Chu, Liang & Zhao, Di & Hou, Zhuoran & Guo, Zhiqi, 2025. "Sustainable energy-speed co-optimization for hybrid electric vehicles in dynamic car-following scenarios via multifunctional deep learning policy," Energy, Elsevier, vol. 334(C).
  21. 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).
  22. Yang, Hanqian & Zhou, Lefeng & Kang, Yuelin & Wang, Zicong & Liang, Jichao & Zhang, Fang, 2025. "Simplified-road-condition-based global optimization and calibration strategy for PHEV energy management," Energy, Elsevier, vol. 329(C).
  23. He, Xionglin & Yu, Qiang & Jiang, Zihong & Tan, Yilin & Chen, Yongji & Xie, Bin & Wen, Changkai, 2025. "Dual-layer adaptive power management strategy for E-tractor incorporating operating information and deep reinforcement learning," Energy, Elsevier, vol. 319(C).
  24. Sun, Xiaosong & Lu, Yongjie & Zheng, Lufeng & Li, Haoyu & Zhang, Xiaoting & Yang, Qi, 2025. "A novel eco-driving strategy for heterogeneous vehicle platooning with risk prediction and deep reinforcement learning," Energy, Elsevier, vol. 314(C).
  25. 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).
  26. Jia, Chunchun & Liu, Wei & He, Hongwen & Chau, K.T., 2025. "Health-conscious energy management for fuel cell vehicles: An integrated thermal management strategy for cabin and energy source systems," Energy, Elsevier, vol. 333(C).
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.