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An improved MPC-based energy management strategy for hybrid vehicles using V2V and V2I communications

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Cited by:

  1. Xiaodong Liu & Hongqiang Guo & Xingqun Cheng & Juan Du & Jian Ma, 2022. "A Robust Design of the Model-Free-Adaptive-Control-Based Energy Management for Plug-In Hybrid Electric Vehicle," Energies, MDPI, vol. 15(20), pages 1-24, October.
  2. Wang, Yanxia & Gan, Shaojun & Li, Kang & Chen, Yanyan, 2022. "Planning for low-carbon energy-transportation system at metropolitan scale: A case study of Beijing, China," Energy, Elsevier, vol. 246(C).
  3. 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).
  4. Gil-Sayas, Susana & Komnos, Dimitrios & Lodi, Chiara & Currò, Davide & Serra, Simone & Broatch, Alberto & Fontaras, Georgios, 2022. "Analysing the potential of a simulation-based method for the assessment of CO2 savings from eco-innovative technologies in light-duty vehicles," Energy, Elsevier, vol. 245(C).
  5. Wenna Xu & Hao Huang & Chun Wang & Shuai Xia & Xinmei Gao, 2025. "A Comparative Study of Energy Management Strategies for Battery-Ultracapacitor Electric Vehicles Based on Different Deep Reinforcement Learning Methods," Energies, MDPI, vol. 18(5), pages 1-18, March.
  6. Chen, Zheng & Gu, Hongji & Shen, Shiquan & Shen, Jiangwei, 2022. "Energy management strategy for power-split plug-in hybrid electric vehicle based on MPC and double Q-learning," Energy, Elsevier, vol. 245(C).
  7. 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).
  8. 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).
  9. Zhou, Quan & Du, Changqing & Yan, Yunbing, 2024. "A multi-layer predictive energy management strategy for intelligent hybrid electric trucks collaborated with eco-driving control," Energy, Elsevier, vol. 308(C).
  10. 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).
  11. Li, Jie & Wu, Xiaodong & Xu, Min & Liu, Yonggang, 2022. "Deep reinforcement learning and reward shaping based eco-driving control for automated HEVs among signalized intersections," Energy, Elsevier, vol. 251(C).
  12. Mbungu, Nsilulu T. & Siti, Mukwanga W. & Bansal, Ramesh C. & Naidoo, Raj M. & Elnady, A. & Ismail, Ali A. Adam & Abokhali, Ahmed G. & Hamid, Abdul-Kadir, 2025. "A dynamic coordination of microgrids," Applied Energy, Elsevier, vol. 377(PD).
  13. Gao, Sichen & Zong, Yuhua & Ju, Fei & Wang, Qun & Huo, Weiwei & Wang, Liangmo & Wang, Tao, 2024. "Scenario-oriented adaptive ECMS using speed prediction for fuel cell vehicles in real-world driving," Energy, Elsevier, vol. 304(C).
  14. Cui, Wei & Cui, Naxin & Li, Tao & Du, Yi & Zhang, Chenghui, 2024. "Multi-objective hierarchical energy management for connected plug-in hybrid electric vehicle with cyber–physical interaction," Applied Energy, Elsevier, vol. 360(C).
  15. Yin, WanJun & Ming, ZhengFeng & Wen, Tao, 2021. "Scheduling strategy of electric vehicle charging considering different requirements of grid and users," Energy, Elsevier, vol. 232(C).
  16. Li, Kai & Chen, Hong & Hou, Shengyan & Eriksson, Lars & Gao, Jinwu, 2023. "A novel engine and battery coupled thermal management strategy for connected HEVs based on switched model predictive control under low temperature," Energy, Elsevier, vol. 278(C).
  17. Zhang, Yuxin & Yang, Yalian & Zou, Yunge & Liu, Changdong, 2024. "Design of optimal control strategy for range extended electric vehicles considering additional noise, vibration and harshness constraints," Energy, Elsevier, vol. 310(C).
  18. Jiang, Yue & Meng, Hao & Chen, Guanpeng & Yang, Congnan & Xu, Xiaojun & Zhang, Lei & Xu, Haijun, 2022. "Differential-steering based path tracking control and energy-saving torque distribution strategy of 6WID unmanned ground vehicle," Energy, Elsevier, vol. 254(PA).
  19. Liu, Hanwu & Lei, Yulong & Sun, Wencai & Chang, Cheng & Jiang, Wei & Liu, Yuwei & Hu, Jianlong, 2024. "Research on approximate optimal energy management and multi-objective optimization of connected automated range-extended electric vehicle," Energy, Elsevier, vol. 306(C).
  20. Hao Tian & Jian Tang & Tianzheng Wang, 2024. "Furnace Temperature Model Predictive Control Based on Particle Swarm Rolling Optimization for Municipal Solid Waste Incineration," Sustainability, MDPI, vol. 16(17), pages 1-23, September.
  21. Alessia Musa & Michele Pipicelli & Matteo Spano & Francesco Tufano & Francesco De Nola & Gabriele Di Blasio & Alfredo Gimelli & Daniela Anna Misul & Gianluca Toscano, 2021. "A Review of Model Predictive Controls Applied to Advanced Driver-Assistance Systems," Energies, MDPI, vol. 14(23), pages 1-24, November.
  22. 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).
  23. Hu, Dong & Huang, Chao & Yin, Guodong & Li, Yangmin & Huang, Yue & Huang, Hailong & Wu, Jingda & Li, Wenfei & Xie, Hui, 2024. "A transfer-based reinforcement learning collaborative energy management strategy for extended-range electric buses with cabin temperature comfort consideration," Energy, Elsevier, vol. 290(C).
  24. Cui, Wei & Cui, Naxin & Li, Tao & Cui, Zhongrui & Du, Yi & Zhang, Chenghui, 2022. "An efficient multi-objective hierarchical energy management strategy for plug-in hybrid electric vehicle in connected scenario," Energy, Elsevier, vol. 257(C).
  25. He, Hongwen & Meng, Xiangfei & Wang, Yong & Khajepour, Amir & An, Xiaowen & Wang, Renguang & Sun, Fengchun, 2024. "Deep reinforcement learning based energy management strategies for electrified vehicles: Recent advances and perspectives," Renewable and Sustainable Energy Reviews, Elsevier, vol. 192(C).
  26. Chen, Zheng & Wu, Simin & Shen, Shiquan & Liu, Yonggang & Guo, Fengxiang & Zhang, Yuanjian, 2023. "Co-optimization of velocity planning and energy management for autonomous plug-in hybrid electric vehicles in urban driving scenarios," Energy, Elsevier, vol. 263(PF).
  27. Hou, Shengyan & Yin, Hai & Xu, Fuguo & Benjamín, Pla & Gao, Jinwu & Chen, Hong, 2023. "Multihorizon predictive energy optimization and lifetime management for connected fuel cell electric vehicles," Energy, Elsevier, vol. 266(C).
  28. Ruan, Shumin & Ma, Yue & Yang, Ningkang & Xiang, Changle & Li, Xunming, 2022. "Real-time energy-saving control for HEVs in car-following scenario with a double explicit MPC approach," Energy, Elsevier, vol. 247(C).
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