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Updated: Sep 20, 2025

The Effect of Charging and Discharging Lithium Iron Phosphate-graphite Cells at Different Temperatures on Degradation
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The Effect of Charging and Discharging Lithium Iron Phosphate-graphite Cells at Different Temperatures on Degradation

Published on: July 18, 2018

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使用贝叶斯方法对电池退化进行基于物理的反向建模

Micha C J Philipp1,2, Yannick Kuhn1,2, Arnulf Latz1,2,3

  • 1Institute for Engineering Thermodynamics, German Aerospace Center (DLR), Wilhelm-Runge-Straße 10, 89081, Ulm, Germany.

ChemSusChem
|May 28, 2025
PubMed
概括

像EP-BOLFI这样的贝叶斯方法通过量化不确定性并使固体电解质间相 (SEI) 增长的准确参数化来改善离子电池模型. 这种方法提高了使用实验数据进行电池寿命预测和模型验证.

关键词:
贝叶斯的方法 贝叶斯的方法反向建模的反向建模离子电池的离子电池机器学习是机器学习.模型选择,模型选择.参数化 参数化 参数化不确定性定量化 不确定性定量化

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Identification and Quantification of Decomposition Mechanisms in Lithium-Ion Batteries; Input to Heat Flow Simulation for Modeling Thermal Runaway11:25

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