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The thermal analysis on the stackable supercapacitor

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  • Wang, Kai
  • Zhang, Li
  • Ji, Bingcheng
  • Yuan, Jinlei

Abstract

A three-dimensional finite element thermal model for the stackable supercapacitor is built and tested at 3 A constant current in charge–discharge process, and then we analyze the inner temperature distribution field. It can be concluded that the maximum temperature appears in core. The maximum temperature will rise to 34.5 °C after 30 cycles and 37.6 °C in steady state. Cooling measurements should be taken when the current is 5 A and the maximum temperature exceeds 53.2 °C. This paper aims at investigating the relationship between the maximum temperature and charge–discharge current, and provides thoughts for the study on the inner temperature distribution field and structure design in working process of stackable supercapacitors.

Suggested Citation

  • Wang, Kai & Zhang, Li & Ji, Bingcheng & Yuan, Jinlei, 2013. "The thermal analysis on the stackable supercapacitor," Energy, Elsevier, vol. 59(C), pages 440-444.
    • Handle: RePEc:eee:energy:v:59:y:2013:i:c:p:440-444
    DOI: 10.1016/j.energy.2013.07.064
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    References listed on IDEAS

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    1. Li, Haowen & Yang, Huachao & Xu, Chenxuan & Yan, Jianhua & Cen, Kefa & Ostrikov, Kostya (Ken) & Bo, Zheng, 2022. "Entropy generation analysis in supercapacitor modules based on a three-dimensional coupled thermal model," Energy, Elsevier, vol. 244(PB).
    2. Huang, Ke-Jing & Wang, Lan & Zhang, Ji-Zong & Wang, Ling-Ling & Mo, Yan-Ping, 2014. "One-step preparation of layered molybdenum disulfide/multi-walled carbon nanotube composites for enhanced performance supercapacitor," Energy, Elsevier, vol. 67(C), pages 234-240.
    3. Hauge, H.H. & Presser, V. & Burheim, O., 2014. "In-situ and ex-situ measurements of thermal conductivity of supercapacitors," Energy, Elsevier, vol. 78(C), pages 373-383.
    4. Li, Dezhi & Li, Shuo & Zhang, Shubo & Sun, Jianrui & Wang, Licheng & Wang, Kai, 2022. "Aging state prediction for supercapacitors based on heuristic kalman filter optimization extreme learning machine," Energy, Elsevier, vol. 250(C).
    5. Zhang, Lei & Hu, Xiaosong & Wang, Zhenpo & Sun, Fengchun & Dorrell, David G., 2018. "A review of supercapacitor modeling, estimation, and applications: A control/management perspective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 1868-1878.
    6. Jeongbin Lee & Jaeshin Yi & Daeyong Kim & Chee Burm Shin & Kyung-Seok Min & Jongrak Choi & Ha-Young Lee, 2014. "Modeling of the Electrical and Thermal Behaviors of an Ultracapacitor," Energies, MDPI, vol. 7(12), pages 1-15, December.
    7. Kai Wang & Liwei Li & Huaixian Yin & Tiezhu Zhang & Wubo Wan, 2015. "Thermal Modelling Analysis of Spiral Wound Supercapacitor under Constant-Current Cycling," PLOS ONE, Public Library of Science, vol. 10(10), pages 1-11, October.
    8. Ghosh, Sampad & Withanage, Sajeevi S. & Chamlagain, Bhim & Khondaker, Saiful I. & Harish, Sivasankaran & Saha, Bidyut Baran, 2020. "Low pressure sulfurization and characterization of multilayer MoS2 for potential applications in supercapacitors," Energy, Elsevier, vol. 203(C).
    9. Naseri, F. & Karimi, S. & Farjah, E. & Schaltz, E., 2022. "Supercapacitor management system: A comprehensive review of modeling, estimation, balancing, and protection techniques," Renewable and Sustainable Energy Reviews, Elsevier, vol. 155(C).

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