Capacity fade characteristics of lithium iron phosphate cell during dynamic cycle
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DOI: 10.1016/j.energy.2020.118155
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- Chang, Chia-Chin & Huang, Sin-Yi & Chen, Wei-Hsin, 2019. "Thermal and solid electrolyte interphase characterization of lithium-ion battery," Energy, Elsevier, vol. 174(C), pages 999-1011.
- Chen, Jingwei & E, Jiaqiang & Kang, Siyi & Zhao, Xiaohuan & Zhu, Hao & Deng, Yuanwang & Peng, Qingguo & Zhang, Zhiqing, 2019. "Modeling and characterization of the mass transfer and thermal mechanics of the power lithium manganate battery under charging process," Energy, Elsevier, vol. 187(C).
- Xu, Meng & Zhang, Zhuqian & Wang, Xia & Jia, Li & Yang, Lixin, 2015. "A pseudo three-dimensional electrochemical–thermal model of a prismatic LiFePO4 battery during discharge process," Energy, Elsevier, vol. 80(C), pages 303-317.
- Li, Xiaoyu & Yuan, Changgui & Wang, Zhenpo, 2020. "State of health estimation for Li-ion battery via partial incremental capacity analysis based on support vector regression," Energy, Elsevier, vol. 203(C).
- Saw, Lip Huat & Ye, Yonghuang & Yew, Ming Chian & Chong, Wen Tong & Yew, Ming Kun & Ng, Tan Ching, 2017. "Computational fluid dynamics simulation on open cell aluminium foams for Li-ion battery cooling system," Applied Energy, Elsevier, vol. 204(C), pages 1489-1499.
- Cicconi, Paolo & Landi, Daniele & Germani, Michele, 2017. "Thermal analysis and simulation of a Li-ion battery pack for a lightweight commercial EV," Applied Energy, Elsevier, vol. 192(C), pages 159-177.
- Li, Xiaoyu & Yuan, Changgui & Li, Xiaohui & Wang, Zhenpo, 2020. "State of health estimation for Li-Ion battery using incremental capacity analysis and Gaussian process regression," Energy, Elsevier, vol. 190(C).
- Zhao, Rui & Liu, Jie & Gu, Junjie, 2015. "The effects of electrode thickness on the electrochemical and thermal characteristics of lithium ion battery," Applied Energy, Elsevier, vol. 139(C), pages 220-229.
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- Guo, Zengjia & Xu, Qidong & Wang, Yang & Zhao, Tianshou & Ni, Meng, 2023. "Battery thermal management system with heat pipe considering battery aging effect," Energy, Elsevier, vol. 263(PE).
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Keywords
Lithium iron phosphate battery; Capacity fade; Heat transfer; Solid electrolyte interphase; Relative capacity; Maximum temperature;All these keywords.
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