4.8 Article

Physics-based, reduced order degradation model of lithium-ion batteries

期刊

JOURNAL OF POWER SOURCES
卷 545, 期 -, 页码 -

出版社

ELSEVIER
DOI: 10.1016/j.jpowsour.2022.231900

关键词

Battery degradation; Physics-based reduced order model; Battery decrepitation

资金

  1. D3BATT Center - Toyota Research Institute, USA

向作者/读者索取更多资源

A physics-based, reduced order framework is developed to calculate the contributions of different mechanisms to charge capacity loss. The model shows good agreement with commercial battery data and suggests that capacity loss in most cells is dominated by surface reactions.
A physics-based, reduced order framework is developed to calculate the charge capacity loss contributions from spatially homogeneous and heterogeneous degradation mechanisms, chemomechanical cycling and initial capacity recovery. The formulation goes well beyond prevalent coulomb-counting models and is tuned solely based on experimentally measurable parameters, although it neglects any buildup of internal resistance. The model is compared against the largest data set available to date for commercial LiFePO4-graphite cells and shows less than 10% error for 92% of the cells. Results suggest that in most cells the charge capacity increases through the first & SIM;50 cycles, beyond which homogeneous SEI growth dominates capacity loss up to & SIM;500 cycles. Above & SIM;500 cycles and at high current densities, the model attributes capacity loss primarily to heterogeneous SEI growth proceeding at microstructurally favored locations, further assisted by chemomechanical failure of the graphite anode particles towards the end of cell life. The developed model sets the stage for on-the-fly capacity loss calculations in hybrid and electric vehicles, especially at low currents and constant voltage holds and could be extended to capture the deleterious effects of high current densities in fast-charging scenarios by including resistive losses.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.8
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据