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Representative energy management strategies for hybrid energy storage systems derived from a meta-review

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  • Günther, Sebastian
  • Bensmann, Astrid
  • Hanke-Rauschenbach, Richard

Abstract

Hybrid energy storage systems integrate diverse storage technologies to enhance system performance, efficiency, and longevity. Despite a plurality of proposed energy management strategies to operate these systems and a significant number of reviews on this topic, the field lacks a systematic, actionable and reusable summary of available energy management strategies.

Suggested Citation

  • Günther, Sebastian & Bensmann, Astrid & Hanke-Rauschenbach, Richard, 2025. "Representative energy management strategies for hybrid energy storage systems derived from a meta-review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 216(C).
  • Handle: RePEc:eee:rensus:v:216:y:2025:i:c:s1364032125002837
    DOI: 10.1016/j.rser.2025.115610
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    1. Xiaomin Wu & Shaoyi Li & Shengfeng Gan & Changhui Hou, 2022. "An Adaptive Energy Optimization Method of Hybrid Battery-Supercapacitor Storage System for Uncertain Demand," Energies, MDPI, vol. 15(5), pages 1-12, February.
    2. Aktaş, Ahmet & Kırçiçek, Yağmur, 2020. "A novel optimal energy management strategy for offshore wind/marine current/battery/ultracapacitor hybrid renewable energy system," Energy, Elsevier, vol. 199(C).
    3. Steffen Meinecke & Leon Thurner & Martin Braun, 2020. "Review of Steady-State Electric Power Distribution System Datasets," Energies, MDPI, vol. 13(18), pages 1-17, September.
    4. Yang, Yuqing & Bremner, Stephen & Menictas, Chris & Kay, Merlinde, 2018. "Battery energy storage system size determination in renewable energy systems: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 91(C), pages 109-125.
    5. Piotr Hylla & Tomasz Trawiński & Bartosz Polnik & Wojciech Burlikowski & Dariusz Prostański, 2023. "Overview of Hybrid Energy Storage Systems Combined with RES in Poland," Energies, MDPI, vol. 16(15), pages 1-20, August.
    6. Hou, Jun & Song, Ziyou, 2020. "A hierarchical energy management strategy for hybrid energy storage via vehicle-to-cloud connectivity," Applied Energy, Elsevier, vol. 257(C).
    7. Kuperman, Alon & Aharon, Ilan, 2011. "Battery-ultracapacitor hybrids for pulsed current loads: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(2), pages 981-992, February.
    8. Diana Lemian & Florin Bode, 2022. "Battery-Supercapacitor Energy Storage Systems for Electrical Vehicles: A Review," Energies, MDPI, vol. 15(15), pages 1-13, August.
    9. Trovão, João P. & Silva, Mário A. & Antunes, Carlos Henggeler & Dubois, Maxime R., 2017. "Stability enhancement of the motor drive DC input voltage of an electric vehicle using on-board hybrid energy storage systems," Applied Energy, Elsevier, vol. 205(C), pages 244-259.
    10. Wu, Yue & Huang, Zhiwu & Liao, Hongtao & Chen, Bin & Zhang, Xiaoyong & Zhou, Yanhui & Liu, Yongjie & Li, Heng & Peng, Jun, 2020. "Adaptive power allocation using artificial potential field with compensator for hybrid energy storage systems in electric vehicles," Applied Energy, Elsevier, vol. 257(C).
    11. Gang Xiao & Qihong Chen & Peng Xiao & Liyan Zhang & Quansen Rong, 2022. "Multiobjective Optimization for a Li-Ion Battery and Supercapacitor Hybrid Energy Storage Electric Vehicle," Energies, MDPI, vol. 15(8), pages 1-13, April.
    12. Hemmati, Reza & Saboori, Hedayat, 2016. "Emergence of hybrid energy storage systems in renewable energy and transport applications – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 65(C), pages 11-23.
    13. Hou, Jun & Song, Ziyou & Park, Hyeongjun & Hofmann, Heath & Sun, Jing, 2018. "Implementation and evaluation of real-time model predictive control for load fluctuations mitigation in all-electric ship propulsion systems," Applied Energy, Elsevier, vol. 230(C), pages 62-77.
    14. Wang, Yujie & Sun, Zhendong & Chen, Zonghai, 2019. "Energy management strategy for battery/supercapacitor/fuel cell hybrid source vehicles based on finite state machine," Applied Energy, Elsevier, vol. 254(C).
    15. Jing, Wenlong & Lai, Chean Hung & Wong, Wallace S.H. & Wong, M.L. Dennis, 2018. "A comprehensive study of battery-supercapacitor hybrid energy storage system for standalone PV power system in rural electrification," Applied Energy, Elsevier, vol. 224(C), pages 340-356.
    16. Günther, Sebastian & Bensmann, Astrid & Hanke-Rauschenbach, Richard, 2018. "Theoretical dimensioning and sizing limits of hybrid energy storage systems," Applied Energy, Elsevier, vol. 210(C), pages 127-137.
    17. Tie, Siang Fui & Tan, Chee Wei, 2013. "A review of energy sources and energy management system in electric vehicles," Renewable and Sustainable Energy Reviews, Elsevier, vol. 20(C), pages 82-102.
    18. Chong, Lee Wai & Wong, Yee Wan & Rajkumar, Rajprasad Kumar & Rajkumar, Rajpartiban Kumar & Isa, Dino, 2016. "Hybrid energy storage systems and control strategies for stand-alone renewable energy power systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 66(C), pages 174-189.
    19. Aree Wangsupphaphol & Sotdhipong Phichaisawat & Nik Rumzi Nik Idris & Awang Jusoh & Nik Din Muhamad & Raweewan Lengkayan, 2023. "A Systematic Review of Energy Management Systems for Battery/Supercapacitor Electric Vehicle Applications," Sustainability, MDPI, vol. 15(14), pages 1-20, July.
    20. Li, Jianwei & Xiong, Rui & Mu, Hao & Cornélusse, Bertrand & Vanderbemden, Philippe & Ernst, Damien & Yuan, Weijia, 2018. "Design and real-time test of a hybrid energy storage system in the microgrid with the benefit of improving the battery lifetime," Applied Energy, Elsevier, vol. 218(C), pages 470-478.
    21. Hoai-Linh T. Nguyen & Bảo-Huy Nguyễn & Thanh Vo-Duy & João Pedro F. Trovão, 2021. "A Comparative Study of Adaptive Filtering Strategies for Hybrid Energy Storage Systems in Electric Vehicles," Energies, MDPI, vol. 14(12), pages 1-23, June.
    22. Yanzi Wang & Weida Wang & Yulong Zhao & Lei Yang & Wenjun Chen, 2016. "A Fuzzy-Logic Power Management Strategy Based on Markov Random Prediction for Hybrid Energy Storage Systems," Energies, MDPI, vol. 9(1), pages 1-20, January.
    23. Yu Wang & Zhongping Yang & Feng Li, 2018. "Optimization of Energy Management Strategy and Sizing in Hybrid Storage System for Tram," Energies, MDPI, vol. 11(4), pages 1-17, March.
    24. Xiong, Rui & Cao, Jiayi & Yu, Quanqing, 2018. "Reinforcement learning-based real-time power management for hybrid energy storage system in the plug-in hybrid electric vehicle," Applied Energy, Elsevier, vol. 211(C), pages 538-548.
    25. Wang, Yujie & Sun, Zhendong & Chen, Zonghai, 2019. "Development of energy management system based on a rule-based power distribution strategy for hybrid power sources," Energy, Elsevier, vol. 175(C), pages 1055-1066.
    26. Aditya Kachhwaha & Ghamgeen Izat Rashed & Akhil Ranjan Garg & Om Prakash Mahela & Baseem Khan & Muhammed Badeaa Shafik & Mohamed G. Hussien, 2022. "Design and Performance Analysis of Hybrid Battery and Ultracapacitor Energy Storage System for Electrical Vehicle Active Power Management," Sustainability, MDPI, vol. 14(2), pages 1-14, January.
    27. Zhuang, Weichao & Ye, Jianwei & Song, Ziyou & Yin, Guodong & Li, Guangmin, 2020. "Comparison of semi-active hybrid battery system configurations for electric taxis application," Applied Energy, Elsevier, vol. 259(C).
    28. Chaofeng Pan & Yanyan Liang & Long Chen & Liao Chen, 2019. "Optimal Control for Hybrid Energy Storage Electric Vehicle to Achieve Energy Saving Using Dynamic Programming Approach," Energies, MDPI, vol. 12(4), pages 1-19, February.
    29. Anindya Bharatee & Pravat Kumar Ray & Bidyadhar Subudhi & Arnab Ghosh, 2022. "Power Management Strategies in a Hybrid Energy Storage System Integrated AC/DC Microgrid: A Review," Energies, MDPI, vol. 15(19), pages 1-18, September.
    30. Muhammad Khalid, 2019. "A Review on the Selected Applications of Battery-Supercapacitor Hybrid Energy Storage Systems for Microgrids," Energies, MDPI, vol. 12(23), pages 1-34, November.
    31. Jiahui Ren & Wenli Lin & Xinbo Liu & Shuiyuan He & Zhonghao Dongye & Lijun Diao, 2022. "Full Current-Type Control-Based Hybrid Energy Storage System," Energies, MDPI, vol. 15(8), pages 1-13, April.
    32. Yang Jiao & Daniel Månsson, 2021. "A Study of the Energy Exchange within a Hybrid Energy Storage System and a Comparison of the Capacities, Lifetimes, and Costs of Different Systems," Energies, MDPI, vol. 14(21), pages 1-22, October.
    33. Sadam Hussain & Muhammad Umair Ali & Gwan-Soo Park & Sarvar Hussain Nengroo & Muhammad Adil Khan & Hee-Je Kim, 2019. "A Real-Time Bi-Adaptive Controller-Based Energy Management System for Battery–Supercapacitor Hybrid Electric Vehicles," Energies, MDPI, vol. 12(24), pages 1-24, December.
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