Comprehensive Modeling of Temperature-Dependent Degradation Mechanisms in Lithium Iron Phosphate Batteries
Comprehensive Modeling of Temperature-Dependent Degradation Mechanisms in Lithium Iron Phosphate Batteries
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DOI：
10.1149/08010.0147ecst
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发表时间：
2017-10
期刊：
影响因子：
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通讯作者：
Michael Schimpe;Markus Edler von Kuepach-;Maik Naumann;H. Hesse;K. Smith;A. Jossen
中科院分区：
文献类型：
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作者：
Michael Schimpe;Markus Edler von Kuepach-;Maik Naumann;H. Hesse;K. Smith;A. Jossen
为了可靠地预测锂离子电池的寿命，需要电池退化模型。针对商用磷酸铁锂/石墨电池，开发并提出了基于一组简化的内部电池参数和容量损失的物理合理退化函数的综合半经验模型。一个日历和几个周期老化效应分别建模。重点在于不同温度下的不同降解。分别计算高温和低温下循环老化的退化机制以及高荷电状态下增加的循环退化。为了参数化，进行了寿命测试研究，包括存储和循环测试。此外，该模型还通过基于固定储能系统中实际应用的动态电流分布进行了验证，揭示了准确性。基于应用的测试中电池容量损失的模型误差在测试结束时低于原始电池容量的 1%。
For reliable lifetime predictions of lithium-ion batteries, models for cell degradation are required. A comprehensive semi-empirical model based on a reduced set of internal cell parameters and physically justified degradation functions for the capacity loss is developed and presented for a commercial lithium iron phosphate/graphite cell. One calendar and several cycle aging effects are modeled separately. Emphasis is placed on the varying degradation at different temperatures. Degradation mechanisms for cycle aging at high and low temperatures as well as the increased cycling degradation at high state of charge are calculated separately.For parameterization, a lifetime test study is conducted including storage and cycle tests. Additionally, the model is validated through a dynamic current profile based on real-world application in a stationary energy storage system revealing the accuracy. The model error for the cell capacity loss in the application-based tests is at the end of testing below 1 % of the original cell capacity.