IDEAS home Printed from https://ideas.repec.org/r/eee/appene/v348y2023ics0306261923008802.html

Online optimization of energy management strategy for FCV control parameters considering dual power source lifespan decay synergy

Citations

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


Cited by:

  1. Song, Dafeng & Wu, Qingtao & Zeng, Xiaohua & Zhang, Xuanming & Qian, Qifeng & Yang, DongPo, 2024. "Feedback-linearization decoupling based coordinated control of air supply and thermal management for vehicular fuel cell system," Energy, Elsevier, vol. 305(C).
  2. Wu, Xiaohua & Ma, Pengfei & Zhou, Lingxue & Fan, Zhanfeng & Zhu, Qingbo & Yin, Xiaofeng & Ouyang, Quan, 2025. "Collaborative optimization of velocity planning and energy management for fuel cell hybrid buses at multiple intersections and bus stations," Energy, Elsevier, vol. 326(C).
  3. 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).
  4. 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).
  5. Li, Jianwei & Wang, Tianci & Yang, Qingqing & Tian, Zhonghao & Lv, Hong & Wang, Xuechao & Shen, Jun, 2025. "A safe region method to quantitatively evaluate the safety of fuel cell operating states," Applied Energy, Elsevier, vol. 377(PA).
  6. Feng Wang & Qiongzhen Zhang, 2025. "The Development of China’s New Energy Vehicle Charging and Swapping Industry: Review and Prospects," Energies, MDPI, vol. 18(17), pages 1-24, August.
  7. Yan Tong & Issam Salhi & Qin Wang & Gang Lu & Shengyu Wu, 2025. "Bidirectional DC-DC Converter Topologies for Hybrid Energy Storage Systems in Electric Vehicles: A Comprehensive Review," Energies, MDPI, vol. 18(9), pages 1-29, May.
  8. Xu, Yao & Lin, Cheng & Xing, Jilei & Zhang, Hong, 2025. "Robustness enhancement of position sensorless super-high-speed PMSM for hydrogen fuel cell air compressors based on linear extended state observer," Applied Energy, Elsevier, vol. 400(C).
  9. Qi Jiang & Shusheng Xiong & Baoquan Sun & Ping Chen & Huipeng Chen & Shaopeng Zhu, 2025. "Research on Energy-Saving Control of Automotive PEMFC Thermal Management System Based on Optimal Operating Temperature Tracking," Energies, MDPI, vol. 18(15), pages 1-25, August.
  10. Jia, Chunchun & He, Hongwen & Zhou, Jiaming & Li, Jianwei & Wei, Zhongbao & Li, Kunang, 2023. "A novel health-aware deep reinforcement learning energy management for fuel cell bus incorporating offline high-quality experience," Energy, Elsevier, vol. 282(C).
  11. 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).
  12. Jia, Chunchun & Zhou, Jiaming & He, Hongwen & Li, Jianwei & Wei, Zhongbao & Li, Kunang, 2024. "Health-conscious deep reinforcement learning energy management for fuel cell buses integrating environmental and look-ahead road information," Energy, Elsevier, vol. 290(C).
  13. Ziye Wang & Ren He & Donghai Hu & Dagang Lu, 2025. "Energy Management Strategy for Fuel Cell Vehicles Based on Deep Transfer Reinforcement Learning," Energies, MDPI, vol. 18(9), pages 1-18, April.
  14. Chenghao Lyu & Nuo Lei & Chaoyi Chen & Hao Zhang, 2025. "A Hierarchical Evolutionary Search Framework with Manifold Learning for Powertrain Optimization of Flying Vehicles," Energies, MDPI, vol. 18(13), pages 1-20, June.
  15. 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).
  16. 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).
  17. Wang, Zhiguo & Wei, Hongqian & Xi, Yecheng & Xiao, Gongwei, 2024. "Data-driven energy utilization for plug-in hybrid electric bus with driving patten application and battery health considerations," Energy, Elsevier, vol. 310(C).
  18. Wu, Huiduo & Min, Haitao & Zhao, Honghui & Sun, Weiyi, 2025. "A novel EMS for FCV combined with condition-adaptive search ranges of decision variables based on the spatial and temporal traffic characteristics," Energy, Elsevier, vol. 335(C).
  19. Zhao, Yinghua & Huang, Siqi & Wang, Xiaoyu & Shi, Jingwu & Yao, Shouwen, 2024. "Energy management with adaptive moving average filter and deep deterministic policy gradient reinforcement learning for fuel cell hybrid electric vehicles," Energy, Elsevier, vol. 312(C).
  20. Guoyu Feng & Zhishu Feng & Peng Sun & Lulu Guo & Zhiyong Chen, 2025. "A Overview of Energy Management Strategies for Hybrid Power Systems," Energies, MDPI, vol. 18(17), pages 1-42, September.
  21. Hu, Donghai & Hou, Wenshuo & Cheng, Zhaoxu & Feng, Chunxiao & Lu, Dagang & Yi, Fengyan & Yang, Qingqing & Li, Jianwei & Wang, Jing, 2024. "A temperature fluctuation suppression control method of fuel cell vehicles to reduce hydrogen consumption," Energy, Elsevier, vol. 305(C).
  22. Zhang, Baodi & Chang, Liang & Teng, Teng & Chen, Qifang & Li, Qiangwei & Cao, Yaoguang & Yang, Shichun & Zhang, Xin, 2024. "Multi-objective optimization with Q-learning for cruise and power allocation control parameters of connected fuel cell hybrid vehicles," Applied Energy, Elsevier, vol. 373(C).
  23. Wang, Feng & Chen, Yihang & Zhang, Yuanjian & Zhu, Xiaoyuan & Ni, Yi-Qing, 2025. "Car-following speed collaborative energy management strategy for connected PHEV," Energy, Elsevier, vol. 329(C).
  24. Zhang, Yahui & You, Xiongxiong & Song, Yunfeng & Zhao, Yahui & Wei, Zeyi & Jiao, Xiaohong, 2025. "Hierarchical eco-driving of connected hybrid electric vehicles: Integrating predictive cruise control and cost-to-go approximation-guided energy management," Energy, Elsevier, vol. 319(C).
  25. Guangxiao Shen & Quancheng Dong & Congfeng Tian & Wenbo Chen & Xiangjie Huang & Jinwei Wang, 2025. "Research on Control Strategy of Pure Electric Bulldozers Based on Vehicle Speed," Energies, MDPI, vol. 18(19), pages 1-18, September.
  26. Yang Shen & Jiaming Zhou & Jinming Zhang & Fengyan Yi & Guofeng Wang & Chaofeng Pan & Wei Guo & Xing Shu, 2023. "Research on Energy Management of Hydrogen Fuel Cell Bus Based on Deep Reinforcement Learning Considering Velocity Control," Sustainability, MDPI, vol. 15(16), pages 1-19, August.
  27. Yanwei Liu & Mingda Wang & Jialuo Tan & Jie Ye & Jiansheng Liang, 2024. "Real-Time Energy Management Strategy for Fuel Cell Vehicles Based on DP and Rule Extraction," Energies, MDPI, vol. 17(14), pages 1-20, July.
  28. Chen, Yuhang & Lv, He & Liu, Xiaoming & Wang, Lingzi & Feng, Jianmei & Peng, Xueyuan, 2026. "A comparative investigation of the operating performance and flow characteristics of regenerative flow compressors for hydrogen recirculation in a proton exchange membrane fuel cell system," Renewable Energy, Elsevier, vol. 258(C).
  29. Fengyan Yi & Wei Guo & Hongtao Gong & Yang Shen & Jiaming Zhou & Wenhao Yu & Dagang Lu & Chunchun Jia & Caizhi Zhang & Farui Gong, 2024. "Research on Speed Planning and Energy Management Strategy for Fuel Cell Hybrid Bus in Green Wave Scenarios at Traffic Light Intersections Based on Deep Reinforcement Learning," Sustainability, MDPI, vol. 16(24), pages 1-15, December.
  30. He, Liange & Mo, Haijun & Zhang, Yan & Wu, Limin & Tang, Jinwang, 2025. "Adaptive energy management strategy for Extended Range Electric Vehicles under complex road conditions based on RF-IGWO and MGO algorithms," Energy, Elsevier, vol. 328(C).
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.