IDEAS home Printed from https://ideas.repec.org/r/eee/appene/v332y2023ics0306261922018207.html
   My bibliography  Save this item

Cooperative energy management and eco-driving of plug-in hybrid electric vehicle via multi-agent reinforcement learning

Citations

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


Cited by:

  1. 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.
  2. Li, Jie & Fotouhi, Abbas & Liu, Yonggang & Zhang, Yuanjian & Chen, Zheng, 2024. "Review on eco-driving control for connected and automated vehicles," Renewable and Sustainable Energy Reviews, Elsevier, vol. 189(PB).
  3. Hua, Min & Zhang, Cetengfei & Zhang, Fanggang & Li, Zhi & Yu, Xiaoli & Xu, Hongming & Zhou, Quan, 2023. "Energy management of multi-mode plug-in hybrid electric vehicle using multi-agent deep reinforcement learning," Applied Energy, Elsevier, vol. 348(C).
  4. Heuts, Y.J.J. & Wouters, J.J.F. & Hulsebos, O.F. & Donkers, M.C.F., 2025. "Modeling, implementation and experimental verification of eco-driving on a battery-electric heavy-duty vehicle," Applied Energy, Elsevier, vol. 390(C).
  5. Tang, Wenbin & Jiao, Xiaohong & Zhang, Yahui, 2025. "Hierarchical energy management control for connected hybrid electric vehicles in uncertain traffic scenarios," Energy, Elsevier, vol. 315(C).
  6. Ma, Yan & Ma, Qian & Liu, Yongqin & Gao, Jinwu & Chen, Hong, 2024. "Two-level optimization strategy for vehicle speed and battery thermal management in connected and automated EVs," Applied Energy, Elsevier, vol. 361(C).
  7. Keerthana Sivamayil & Elakkiya Rajasekar & Belqasem Aljafari & Srete Nikolovski & Subramaniyaswamy Vairavasundaram & Indragandhi Vairavasundaram, 2023. "A Systematic Study on Reinforcement Learning Based Applications," Energies, MDPI, vol. 16(3), pages 1-23, February.
  8. Chen, Bin & Wang, Miaoben & Hu, Lin & He, Guo & Yan, Haoyang & Wen, Xinji & Du, Ronghua, 2024. "Data-driven Koopman model predictive control for hybrid energy storage system of electric vehicles under vehicle-following scenarios," Applied Energy, Elsevier, vol. 365(C).
  9. 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.
  10. Li, Jie & Fotouhi, Abbas & Pan, Wenjun & Liu, Yonggang & Zhang, Yuanjian & Chen, Zheng, 2023. "Deep reinforcement learning-based eco-driving control for connected electric vehicles at signalized intersections considering traffic uncertainties," Energy, Elsevier, vol. 279(C).
  11. 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).
  12. Xu Wang & Ying Huang & Jian Wang, 2023. "Study on Driver-Oriented Energy Management Strategy for Hybrid Heavy-Duty Off-Road Vehicles under Aggressive Transient Operating Condition," Sustainability, MDPI, vol. 15(9), pages 1-25, May.
  13. Jiankai Gao & Yang Li & Bin Wang & Haibo Wu, 2023. "Multi-Microgrid Collaborative Optimization Scheduling Using an Improved Multi-Agent Soft Actor-Critic Algorithm," Energies, MDPI, vol. 16(7), pages 1-21, April.
  14. 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).
  15. Tian, Weiyong & Liu, Li & Zhang, Xiaohui & Shao, Jiaqi, 2024. "Flight trajectory and energy management coupled optimization for hybrid electric UAVs with adaptive sequential convex programming method," Applied Energy, Elsevier, vol. 364(C).
  16. Huang, Jianchang & Wang, Xin & Lin, Qinghai & Song, Guohua & Yu, Lei, 2025. "Unraveling inter-driver and intra-driver uncertainty: An eco-driving evaluation and optimization method," Energy, Elsevier, vol. 321(C).
  17. Obeida Farhat & Mahmoud Khaled & Jalal Faraj & Farouk Hachem & Cathy Castelain, 2024. "Multiple Heat Recovery System for an Industrial Thermal Peeling Press Machine—Experimental Study with Energy and Economic Analyses," Energies, MDPI, vol. 17(6), pages 1-30, March.
  18. Ding, Yanyan & Jian, Sisi & Yu, Lin, 2025. "How to reduce carbon emissions in the urban transportation systems through carbon markets? Balancing the monetary and environmental benefits," Applied Energy, Elsevier, vol. 377(PB).
  19. Chen, Jiayu & Kuboyama, Tatsuya & Shen, Tielong, 2025. "Collective behavior information-based design approach to energy management strategy for large-scale population of HEVs," Applied Energy, Elsevier, vol. 377(PC).
  20. Li, Cheng & Xu, Xiangyang & Zhu, Helong & Gan, Jiongpeng & Chen, Zhige & Tang, Xiaolin, 2024. "Research on car-following control and energy management strategy of hybrid electric vehicles in connected scene," Energy, Elsevier, vol. 293(C).
  21. 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.
  22. Hou, Zhuoran & Guo, Jianhua & Chu, Liang & Hu, Jincheng & Chen, Zheng & Zhang, Yuanjian, 2023. "Exploration the route of information integration for vehicle design: A knowledge-enhanced energy management strategy," Energy, Elsevier, vol. 282(C).
  23. 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).
  24. Li, Menglin & Yin, Long & Yan, Mei & Wu, Jingda & He, Hongwe & Jia, Chunchun, 2024. "Hierarchical intelligent energy-saving control strategy for fuel cell hybrid electric buses based on traffic flow predictions," Energy, Elsevier, vol. 304(C).
  25. 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.
  26. 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).
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.