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Internal resistance and heat generation of soft package Li4Ti5O12 battery during charge and discharge

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  • Wang, Kangkang
  • Gao, Fei
  • Zhu, Yanli
  • Liu, Hao
  • Qi, Chuang
  • Yang, Kai
  • Jiao, Qingjie

Abstract

The resistance and heat generation of soft package Li4Ti5O12 batteries in two different lifecycle (One was cycled 2100 times at 55 °C and swollen, the other is a new one) were studied in this paper. The ohmic resistance, polarization resistance and electrochemical impedance spectroscopy of these two cells were investigated. Accelerating rate calorimeter was used to study the generated heat at the C-rates of 0.5 C, 2 C and 5 C in charging and discharging processes. The amount of total generated heat, reversible and irreversible were obtained. The results showed that ohmic resistance of the swollen battery was higher than that of the new one, while polarization resistance tended to be smaller. The heat produced during discharge was greater than that by charge. In single charge or discharge process, the heat generation rate of the swollen battery was higher than that of the new one at all C-rates. The swollen battery released more reversible heat in charging process, especially at a lower state of charge.

Suggested Citation

  • Wang, Kangkang & Gao, Fei & Zhu, Yanli & Liu, Hao & Qi, Chuang & Yang, Kai & Jiao, Qingjie, 2018. "Internal resistance and heat generation of soft package Li4Ti5O12 battery during charge and discharge," Energy, Elsevier, vol. 149(C), pages 364-374.
    • Handle: RePEc:eee:energy:v:149:y:2018:i:c:p:364-374
    DOI: 10.1016/j.energy.2018.02.052
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    1. Eddahech, Akram & Briat, Olivier & Vinassa, Jean-Michel, 2013. "Thermal characterization of a high-power lithium-ion battery: Potentiometric and calorimetric measurement of entropy changes," Energy, Elsevier, vol. 61(C), pages 432-439.
    2. Khayyam, Hamid & Bab-Hadiashar, Alireza, 2014. "Adaptive intelligent energy management system of plug-in hybrid electric vehicle," Energy, Elsevier, vol. 69(C), pages 319-335.
    3. Diouf, Boucar & Pode, Ramchandra, 2015. "Potential of lithium-ion batteries in renewable energy," Renewable Energy, Elsevier, vol. 76(C), pages 375-380.
    4. Farmann, Alexander & Waag, Wladislaw & Sauer, Dirk Uwe, 2016. "Application-specific electrical characterization of high power batteries with lithium titanate anodes for electric vehicles," Energy, Elsevier, vol. 112(C), pages 294-306.
    5. Densing, Martin & Turton, Hal & Bäuml, Georg, 2012. "Conditions for the successful deployment of electric vehicles – A global energy system perspective," Energy, Elsevier, vol. 47(1), pages 137-149.
    6. Ferreira, Helder Lopes & Garde, Raquel & Fulli, Gianluca & Kling, Wil & Lopes, Joao Pecas, 2013. "Characterisation of electrical energy storage technologies," Energy, Elsevier, vol. 53(C), pages 288-298.
    7. Hedegaard, Karsten & Ravn, Hans & Juul, Nina & Meibom, Peter, 2012. "Effects of electric vehicles on power systems in Northern Europe," Energy, Elsevier, vol. 48(1), pages 356-368.
    8. Du, Jiuyu & Ouyang, Minggao & Chen, Jingfu, 2017. "Prospects for Chinese electric vehicle technologies in 2016–2020: Ambition and rationality," Energy, Elsevier, vol. 120(C), pages 584-596.
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    8. Wu, Muyao & Zhong, Yiming & Wu, Ji & Wang, Yuqing & Wang, Li, 2023. "State of health estimation of the lithium-ion power battery based on the principal component analysis-particle swarm optimization-back propagation neural network," Energy, Elsevier, vol. 283(C).
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