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Energy Management Strategy for Hybrid Electric Vehicle Based on Driving Condition Identification Using KGA-Means

Citations

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Cited by:

  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. Tong, He & Chu, Liang & Zhang, Yuanjian & Zhao, Di & Hu, Jincheng & Xie, Zhihao & Liu, Ming, 2024. "Towards sustainable high-speed cruising: Optimizing energy efficiency of plug-in hybrid electric vehicle via intelligent pulse-and-glide strategy," Energy, Elsevier, vol. 311(C).
  3. Wu, Peng & Partridge, Julius & Bucknall, Richard, 2020. "Cost-effective reinforcement learning energy management for plug-in hybrid fuel cell and battery ships," Applied Energy, Elsevier, vol. 275(C).
  4. 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).
  5. Bin Huang & Wenbin Yu & Minrui Ma & Xiaoxu Wei & Guangya Wang, 2025. "Artificial-Intelligence-Based Energy Management Strategies for Hybrid Electric Vehicles: A Comprehensive Review," Energies, MDPI, vol. 18(14), pages 1-42, July.
  6. Shi, Wenzhuo & Huangfu, Yigeng & Xu, Liangcai & Pang, Shengzhao, 2022. "Online energy management strategy considering fuel cell fault for multi-stack fuel cell hybrid vehicle based on multi-agent reinforcement learning," Applied Energy, Elsevier, vol. 328(C).
  7. Wang, Siyang & Lin, Xianke, 2020. "Eco-driving control of connected and automated hybrid vehicles in mixed driving scenarios," Applied Energy, Elsevier, vol. 271(C).
  8. Andrzej Łebkowski, 2018. "Steam and Oxyhydrogen Addition Influence on Energy Usage by Range Extender—Battery Electric Vehicles," Energies, MDPI, vol. 11(9), pages 1-20, September.
  9. Tran, Dai-Duong & Vafaeipour, Majid & El Baghdadi, Mohamed & Barrero, Ricardo & Van Mierlo, Joeri & Hegazy, Omar, 2020. "Thorough state-of-the-art analysis of electric and hybrid vehicle powertrains: Topologies and integrated energy management strategies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 119(C).
  10. 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).
  11. Vázquez-Canteli, José R. & Nagy, Zoltán, 2019. "Reinforcement learning for demand response: A review of algorithms and modeling techniques," Applied Energy, Elsevier, vol. 235(C), pages 1072-1089.
  12. Ma, Xiaokang & Liu, Hui & Han, Lijin & Yang, Ningkang & Li, Mingyi, 2025. "An real-time intelligent energy management based on deep reinforcement learning and model predictive control for hybrid electric vehicles considering battery life," Energy, Elsevier, vol. 324(C).
  13. Yin, Cheng & Zeng, Xiangrui & Yin, Zhouping, 2024. "An improved data-driven predictive optimal control approach for designing hybrid electric vehicle energy management strategies," Applied Energy, Elsevier, vol. 375(C).
  14. Wang, Yue & Zeng, Xiaohua & Song, Dafeng, 2020. "Hierarchical optimal intelligent energy management strategy for a power-split hybrid electric bus based on driving information," Energy, Elsevier, vol. 199(C).
  15. Rajput, Daizy & Herreros, Jose M. & Innocente, Mauro S. & Bryans, Jeremy & Schaub, Joschka & Dizqah, Arash M., 2022. "Impact of the number of planetary gears on the energy efficiency of electrified powertrains," Applied Energy, Elsevier, vol. 323(C).
  16. Nie, Zhigen & Jia, Yuan & Wang, Wanqiong & Chen, Zheng & Outbib, Rachid, 2022. "Co-optimization of speed planning and energy management for intelligent fuel cell hybrid vehicle considering complex traffic conditions," Energy, Elsevier, vol. 247(C).
  17. López-Ibarra, Jon Ander & Gaztañaga, Haizea & Saez-de-Ibarra, Andoni & Camblong, Haritza, 2020. "Plug-in hybrid electric buses total cost of ownership optimization at fleet level based on battery aging," Applied Energy, Elsevier, vol. 280(C).
  18. Sachan, Sulabh, 2024. "Heuristics for multi-objective operation of EV charging stations based on Chicken Swarm Optimization," Energy, Elsevier, vol. 313(C).
  19. Xin Zhang & Jianhua Yang & Weizhou Wang & Man Zhang & Tianjun Jing, 2018. "Integrated Optimal Dispatch of a Rural Micro-Energy-Grid with Multi-Energy Stream Based on Model Predictive Control," Energies, MDPI, vol. 11(12), pages 1-23, December.
  20. Li, Weihan & Cui, Han & Nemeth, Thomas & Jansen, Jonathan & Ünlübayir, Cem & Wei, Zhongbao & Feng, Xuning & Han, Xuebing & Ouyang, Minggao & Dai, Haifeng & Wei, Xuezhe & Sauer, Dirk Uwe, 2021. "Cloud-based health-conscious energy management of hybrid battery systems in electric vehicles with deep reinforcement learning," Applied Energy, Elsevier, vol. 293(C).
  21. Li, Jiawen, 2022. "A multi-objective energy coordinative and management policy for solid oxide fuel cell using triune brain large-scale multi-agent deep deterministic policy gradient," Applied Energy, Elsevier, vol. 324(C).
  22. Zare, Aramchehr & Boroushaki, Mehrdad, 2024. "A knowledge-assisted deep reinforcement learning approach for energy management in hybrid electric vehicles," Energy, Elsevier, vol. 313(C).
  23. Wang, Yue & Li, Keqiang & Zeng, Xiaohua & Gao, Bolin & Hong, Jichao, 2023. "Investigation of novel intelligent energy management strategies for connected HEB considering global planning of fixed-route information," Energy, Elsevier, vol. 263(PB).
  24. 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.
  25. Wu, Yuankai & Tan, Huachun & Peng, Jiankun & Zhang, Hailong & He, Hongwen, 2019. "Deep reinforcement learning of energy management with continuous control strategy and traffic information for a series-parallel plug-in hybrid electric bus," Applied Energy, Elsevier, vol. 247(C), pages 454-466.
  26. Pei Zhang & Xianpan Wu & Changqing Du & Hongming Xu & Huawu Wang, 2020. "Adaptive Equivalent Consumption Minimization Strategy for Hybrid Heavy-Duty Truck Based on Driving Condition Recognition and Parameter Optimization," Energies, MDPI, vol. 13(20), pages 1-20, October.
  27. Zhang, Hanyu & Du, Lili, 2023. "Platoon-centered control for eco-driving at signalized intersection built upon hybrid MPC system, online learning and distributed optimization part I: Modeling and solution algorithm design," Transportation Research Part B: Methodological, Elsevier, vol. 172(C), pages 174-198.
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