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Comprehensive optimized hybrid energy storage system for long-life solar-powered wireless sensor network nodes

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  • Qi, Nanjian
  • Yin, Yajiang
  • Dai, Keren
  • Wu, Chengjun
  • Wang, Xiaofeng
  • You, Zheng

Abstract

Solar energy harvesting is promising to provide long-term power autonomy for wireless sensor networks. Energy storage devices like lithium-ion batteries are usually integrated to solar-powered sensor nodes to overcome the intermittency of solar power. However, the cycle life of lithium-ion batteries is short, which limits the lifetime of the nodes. Therefore, supercapacitor-battery hybrid energy storage system has been used to extend the cycle life of battery. The design of hybrid energy storage systems significantly affects the performance of wireless sensor network nodes in many ways. However, hybrid energy storage system optimization is a comprehensive problem because the configuration and power-split strategy need to be considered concurrently, which has not been done in the existing studies of solar-powered sensor nodes. In this study, a two-port hybrid diode topology is proposed, accompanied by an adaptive supercapacitor buffer energy management strategy to achieve integrated optimization. The hybrid diode semi-active topology uses a unidirectional DC/DC converter accompanied by two diodes to replace the bidirectional DC/DC converter in the existing semi-active topology. Accordingly, the energy lose is decreased by 15.5% while the cost, size, and controlling complexity are also decreased. Moreover, an adaptive supercapacitor buffer energy management strategy is designed based on the new topology to decrease the battery degradation. Simulation and experimental results indicate that the proposed hybrid energy storage system increases the battery lifetime to at least 3 times that of existing hybrid energy storage systems. Finally, a long-life solar-powered wireless sensor network node with a relatively small size and cost is achievable.

Suggested Citation

  • Qi, Nanjian & Yin, Yajiang & Dai, Keren & Wu, Chengjun & Wang, Xiaofeng & You, Zheng, 2021. "Comprehensive optimized hybrid energy storage system for long-life solar-powered wireless sensor network nodes," Applied Energy, Elsevier, vol. 290(C).
    • Handle: RePEc:eee:appene:v:290:y:2021:i:c:s0306261921002841
    DOI: 10.1016/j.apenergy.2021.116780
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    2. Song, Hui & Gu, Mingchen & Liu, Chen & Amani, Ali Moradi & Jalili, Mahdi & Meegahapola, Lasantha & Yu, Xinghuo & Dickeson, George, 2023. "Multi-objective battery energy storage optimization for virtual power plant applications," Applied Energy, Elsevier, vol. 352(C).
    3. Liu, Xinzhi & Qi, Nanjian & Dai, Keren & Yin, Yajiang & Zhao, Jiahao & Wang, Xiaofeng & You, Zheng, 2022. "Sponge Supercapacitor rule-based energy management strategy for wireless sensor nodes optimized by using dynamic programing algorithm," Energy, Elsevier, vol. 239(PE).
    4. Xie, Haonan & Jiang, Meihui & Zhang, Dongdong & Goh, Hui Hwang & Ahmad, Tanveer & Liu, Hui & Liu, Tianhao & Wang, Shuyao & Wu, Thomas, 2023. "IntelliSense technology in the new power systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 177(C).
    5. Kuo-Yuan Lo & Kuo-Hsiang Liu & Li-Xin Chen & Ching-Yu Chen & Chang-Heng Shih & Jyun-Ting Lin, 2022. "Multi-Mode Control of a Bidirectional Converter for Battery Energy Storage System," Energies, MDPI, vol. 15(21), pages 1-18, October.
    6. Duan, Hanbing & Zhang, Wenye & Guo, Zhongyuan & Su, Xiaoxiang & Liu, Yongcun & Meng, Hao & Yu, Xiang & Qin, Gang & Chen, Qiang & Yang, Jia, 2023. "Tough, highly adaptable and self-healing integrated supercapacitor based on double network gel polymer electrolyte," Energy, Elsevier, vol. 264(C).
    7. Li, Wenzhuo & Tang, Rui & Wang, Shengwei & Zheng, Zhuang, 2023. "An optimal design method for communication topology of wireless sensor networks to implement fully distributed optimal control in IoT-enabled smart buildings," Applied Energy, Elsevier, vol. 349(C).
    8. Denis Artyukhov & Nikolay Gorshkov & Maria Vikulova & Nikolay Kiselev & Artem Zemtsov & Ivan Artyukhov, 2022. "Power Supply of Wireless Sensors Based on Energy Conversion of Separated Gas Flows by Thermoelectrochemical Cells," Energies, MDPI, vol. 15(4), pages 1-16, February.
    9. Ting, Zhang & Yunna, Wu, 2024. "Collaborative allocation model and balanced interaction strategy of multi flexible resources in the new power system based on Stackelberg game theory," Renewable Energy, Elsevier, vol. 220(C).
    10. Marco Faifer & Luigi Piegari & Marco Rossi & Sergio Toscani, 2021. "An Average Model of DC–DC Step-Up Converter Considering Switching Losses and Parasitic Elements," Energies, MDPI, vol. 14(22), pages 1-18, November.
    11. Adrian Chmielewski & Piotr Piórkowski & Krzysztof Bogdziński & Jakub Możaryn, 2023. "Application of a Bidirectional DC/DC Converter to Control the Power Distribution in the Battery–Ultracapacitor System," Energies, MDPI, vol. 16(9), pages 1-40, April.

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