IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v363y2024ics0306261924003787.html
   My bibliography  Save this article

A proactive energy management strategy for battery-powered autonomous systems

Author

Listed:
  • Li, Heng
  • Liu, Zheng
  • Yang, Yingze
  • Yang, Huihui
  • Shu, Boyu
  • Liu, Weirong

Abstract

Battery energy management systems have been studied in control communities for many years. This paper proposes a new perspective by integrating control and scheduling for battery-powered autonomous systems. This is motivated by the observations that battery closed-loop control can significantly improve the DC-bus stability but reduce the battery durability, while load scheduling can considerably improve the battery durability by smoothing the load power. In view of the above findings, we propose a proactive energy management strategy for the battery energy management system to improve both the DC-bus stability and battery durability. We first analyze the schedulability of load tasks to check if they are schedulable. Then, the power of schedulable loads is scheduled with an active load scheduling algorithm to smooth the fluctuation of battery current and extend the battery lifetime. Thereafter, the scheduled load power is integrated with a feedforward control to restrain DC-bus voltage fluctuation. In addition to the classical sporadic/periodic load tasks model, we propose a new aperiodic load task model to characterize the load power triggered by events in practical applications. An experimental platform is built to verify the effectiveness of the proposed proactive energy management method. Experimental results show that the proposed proactive energy management method can suppress the 15.71% DC-bus voltage fluctuation and reduce the 8.93% battery current fluctuation, extending the battery lifetime by 7.57% compared to existing energy management strategies.

Suggested Citation

  • Li, Heng & Liu, Zheng & Yang, Yingze & Yang, Huihui & Shu, Boyu & Liu, Weirong, 2024. "A proactive energy management strategy for battery-powered autonomous systems," Applied Energy, Elsevier, vol. 363(C).
    • Handle: RePEc:eee:appene:v:363:y:2024:i:c:s0306261924003787
    DOI: 10.1016/j.apenergy.2024.122995
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261924003787
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.apenergy.2024.122995?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Silva, Walquiria N. & Bandória, Luís H.T. & Dias, Bruno H. & de Almeida, Madson C. & de Oliveira, Leonardo W., 2023. "Generating realistic load profiles in smart grids: An approach based on nonlinear independent component estimation (NICE) and convolutional layers," Applied Energy, Elsevier, vol. 351(C).
    2. Li, Lu & Li, Yinshi & Yu, Huajie & He, Ya-Ling, 2020. "A feedforward-feedback hybrid control strategy towards ordered utilization of concentrating solar energy," Renewable Energy, Elsevier, vol. 154(C), pages 305-315.
    3. Gao, Yizhao & Liu, Chenghao & Chen, Shun & Zhang, Xi & Fan, Guodong & Zhu, Chong, 2022. "Development and parameterization of a control-oriented electrochemical model of lithium-ion batteries for battery-management-systems applications," Applied Energy, Elsevier, vol. 309(C).
    4. 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).
    5. Hu, Jianhui & Li, Yipo & Chen, Wujun & Gao, Chengjun & Gao, Jifeng & Zhang, Yibei & Qiu, Zhenyu, 2022. "Performance characteristics of GaInP/InGaAs/Ge triple-junction photovoltaic panels for near-space vehicles via ground experiments," Applied Energy, Elsevier, vol. 326(C).
    6. Li, Hao & Zhang, Weige & Sun, Bingxiang & Cai, Xue & Fan, Xinyuan & Zhao, Bo & Zhang, Caiping, 2023. "The degradation characteristics and mechanism of Li[Ni0.5Co0.2Mn0.3]O2 batteries with high frequency current ripple excitation," Applied Energy, Elsevier, vol. 343(C).
    7. Zheng, Zhuang & Sun, Zhankun & Pan, Jia & Luo, Xiaowei, 2021. "An integrated smart home energy management model based on a pyramid taxonomy for residential houses with photovoltaic-battery systems," Applied Energy, Elsevier, vol. 298(C).
    8. Le, Tay Son & Nguyen, Tuan Ngoc & Bui, Dac-Khuong & Ngo, Tuan Duc, 2023. "Optimal sizing of renewable energy storage: A techno-economic analysis of hydrogen, battery and hybrid systems considering degradation and seasonal storage," Applied Energy, Elsevier, vol. 336(C).
    9. Nakıp, Mert & Çopur, Onur & Biyik, Emrah & Güzeliş, Cüneyt, 2023. "Renewable energy management in smart home environment via forecast embedded scheduling based on Recurrent Trend Predictive Neural Network," Applied Energy, Elsevier, vol. 340(C).
    10. Ji, Zhixing & Rokni, Marvin Mikael & Qin, Jiang & Zhang, Silong & Dong, Peng, 2021. "Performance and size optimization of the turbine-less engine integrated solid oxide fuel cells on unmanned aerial vehicles with long endurance," Applied Energy, Elsevier, vol. 299(C).
    11. Nawaz, Arshad & Wu, Jing & Ye, Jun & Dong, Yidi & Long, Chengnian, 2023. "Distributed MPC-based energy scheduling for islanded multi-microgrid considering battery degradation and cyclic life deterioration," Applied Energy, Elsevier, vol. 329(C).
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Alok Ranjan & Sanjay Bodkhe & Gaurav Goyal & Archana Belge & Sneha Tibude, 2024. "Experimental Study on Heuristics Energy Management Strategy for Hybrid Energy Storage System," Energies, MDPI, vol. 17(23), pages 1-15, November.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Rodriguez, Mauricio & Arcos-Aviles, Diego & Guinjoan, Francesc, 2024. "Simple fuzzy logic-based energy management for power exchange in isolated multi-microgrid systems: A case study in a remote community in the Amazon region of Ecuador," Applied Energy, Elsevier, vol. 357(C).
    2. Coraquetzali Magdaleno López & José de Jesús Pérez Bueno & José Antonio Cabello Mendez & Rosalba Hernández Leos & Maria Luisa Mendoza López & Adrián Sosa Domínguez & Yunny Meas Vong, 2022. "Deterioration of Novel Silver Coated Mirrors on Polycarbonate Used for Concentrated Solar Power," Sustainability, MDPI, vol. 14(24), pages 1-17, December.
    3. Dong, Haoxin & Shan, Zijing & Zhou, Jianli & Xu, Chuanbo & Chen, Wenjun, 2023. "Refined modeling and co-optimization of electric-hydrogen-thermal-gas integrated energy system with hybrid energy storage," Applied Energy, Elsevier, vol. 351(C).
    4. Xie, Yanmin & Xu, Jun & Jin, Chengwei & Jia, Zhenyu & Mei, Xuesong, 2024. "A novel reduced-order electrochemical model of lithium-ion batteries with both high fidelity and real-time applicability," Energy, Elsevier, vol. 306(C).
    5. Ren, Kezheng & Liu, Jun & Wu, Zeyang & Liu, Xinglei & Nie, Yongxin & Xu, Haitao, 2024. "A data-driven DRL-based home energy management system optimization framework considering uncertain household parameters," Applied Energy, Elsevier, vol. 355(C).
    6. Gao, Yizhao & Sun, Ziqiang & Zhang, Dong & Shi, Dapai & Zhang, Xi, 2023. "Determination of half-cell open-circuit potential curve of silicon-graphite in a physics-based model for lithium-ion batteries," Applied Energy, Elsevier, vol. 349(C).
    7. Laugs, Gideon A.H. & Benders, René M.J. & Moll, Henri C., 2024. "Maximizing self-sufficiency and minimizing grid interaction: Combining electric and molecular energy storage for decentralized balancing of variable renewable energy in local energy systems," Renewable Energy, Elsevier, vol. 229(C).
    8. Giri, Puspendu & Paul, Somnath & Debnath, Bijoy Krishna, 2024. "A fuzzy Graph Theory and Matrix Approach (fuzzy GTMA) to select the best renewable energy alternative in India," Applied Energy, Elsevier, vol. 358(C).
    9. Masoumeh Sharifpour & Mohammad Taghi Ameli & Hossein Ameli & Goran Strbac, 2023. "A Resilience-Oriented Approach for Microgrid Energy Management with Hydrogen Integration during Extreme Events," Energies, MDPI, vol. 16(24), pages 1-18, December.
    10. Li, Zichen & Xia, Yanghong & Bo, Yaolong & Wei, Wei, 2024. "Optimal planning for electricity-hydrogen integrated energy system considering multiple timescale operations and representative time-period selection," Applied Energy, Elsevier, vol. 362(C).
    11. Jiang, Fusheng & Ren, Yi & Tang, Ting & Wu, Zeyu & Xia, Quan & Sun, Bo & Yang, Dezhen, 2024. "An adaptive semi-supervised self-learning method for online state of health estimation of lithium-ion batteries," Energy, Elsevier, vol. 305(C).
    12. Luan, Wenpeng & Tian, Longfei & Zhao, Bochao, 2023. "Leveraging hybrid probabilistic multi-objective evolutionary algorithm for dynamic tariff design," Applied Energy, Elsevier, vol. 342(C).
    13. Maślak, Grzegorz & Orłowski, Przemysław, 2024. "Operational optimisation of a microgrid using non-stationary hybrid switched model predictive control with virtual storage-based demand management," Renewable and Sustainable Energy Reviews, Elsevier, vol. 202(C).
    14. Rasool, Muhammad Haseeb & Taylan, Onur & Perwez, Usama & Batunlu, Canras, 2023. "Comparative assessment of multi-objective optimization of hybrid energy storage system considering grid balancing," Renewable Energy, Elsevier, vol. 216(C).
    15. Koholé, Yemeli Wenceslas & Wankouo Ngouleu, Clint Ameri & Fohagui, Fodoup Cyrille Vincelas & Tchuen, Ghislain, 2024. "Optimization of an off-grid hybrid photovoltaic/wind/diesel/fuel cell system for residential applications power generation employing evolutionary algorithms," Renewable Energy, Elsevier, vol. 224(C).
    16. Zhixing Ji & Fafu Guo & Tingting Zhu & Kunlin Cheng & Silong Zhang & Jiang Qin & Peng Dong, 2023. "Thermodynamic Performance Comparisons of Ideal Brayton Cycles Integrated with High Temperature Fuel Cells as Power Sources on Aircraft," Sustainability, MDPI, vol. 15(3), pages 1-16, February.
    17. Li, Gen & Du, Guanghan & Liu, Guixiu & Yan, Junjie, 2024. "Study on the dynamic characteristics, control strategies and load variation rates of the concentrated solar power plant," Applied Energy, Elsevier, vol. 357(C).
    18. Chen, Jinbao & Liu, Shaohua & Wang, Yunhe & Hu, Wenqing & Zou, Yidong & Zheng, Yang & Xiao, Zhihuai, 2024. "Generalized predictive control application scheme for nonlinear hydro-turbine regulation system: Based on a precise novel control structure," Energy, Elsevier, vol. 296(C).
    19. Le, Son Tay & Nguyen, Tuan Ngoc & Bui, Dac-Khuong & Teodosio, Birch & Ngo, Tuan Duc, 2024. "Comparative life cycle assessment of renewable energy storage systems for net-zero buildings with varying self-sufficient ratios," Energy, Elsevier, vol. 290(C).
    20. Johannes Prior & Tobias Drees & Michael Miro & Bernd Kuhlenkötter, 2024. "Systematic Literature Review of Heuristic-Optimized Microgrids and Energy-Flexible Factories," Clean Technol., MDPI, vol. 6(3), pages 1-28, August.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:appene:v:363:y:2024:i:c:s0306261924003787. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.