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A proactive energy management strategy for battery-powered autonomous systems

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  • 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
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    References listed on IDEAS

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    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. 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).
    3. 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).
    4. 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.
    5. 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).
    6. 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).
    7. 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).
    8. 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).
    9. 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).
    10. 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).
    11. 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).
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    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.

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