Modeling the SEI-Formation on Graphite Electrodes in LiFePO4 Batteries

By Dongjiang Li, D. Danilov, Zhongru Zhang, Huixin Chen, Yong Yang, P. H. L. Nottena. 2015

142 citations recorded by the source corpus.

An advanced model is proposed, describing the capacity losses of C6/LiFePO4 batteries under storage and cycling conditions. These capacity losses are attributed to the growth of a Solid Electrolyte Interface (SEI) at the surface of graphite particles in the negative electrode. The model assumes the existence of an inner and outer SEI layer. The rate determining step is considered to be electron tunneling through the inner SEI layer. The inner SEI layer grows much slower than the outer SEI layer. Another contribution to the degradation process is the exfoliation of SEI near the edges of graphite particles during discharging and the formation of new SEI induced by the volumetric changes during the subsequent charging. The model has been validated by storage and cycling experiments. The simulation results show that the capacity losses are dependent on the State-of-Charge (SoC), the storage time, cycle number and graphite particle size. The model can be used to predict both the calendar and cycling life of the Li-ion batteries.

Subfields: Automotive Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/debccc578310dd9ba314571d2ebe7f52fed41305

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Automotive Engineering

1. Yue Qi
2. Sanket Kadam
3. Hong Li
4. S. Shi 施
5. Aiping Wang

In Electrical and Electronic Engineering

1. Hong Li
2. Yue Qi
3. S. Shi 施
4. Sanket Kadam
5. Aiping Wang
6. Liquan Chen
7. Yong‐Sheng Hu

Citations in the corpus

• Review on modeling of the anode solid electrolyte interphase (SEI) for lithium-ion batteries (2018, methodology): “To further correlate the SEI formation with the observed capacity loss, Li et al.(163) correlated the capacity loss with the electron tunneling property of the SEI in an analytical model, and Lin et al.”