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Title: Comprehensive Modeling of Temperature-Dependent Degradation Mechanisms in Lithium Iron Phosphate Batteries

Abstract

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.

Authors:
; ; ; ; ;
Publication Date:
Research Org.:
National Renewable Energy Lab. (NREL), Golden, CO (United States)
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Vehicle Technologies Office (EE-3V)
OSTI Identifier:
1437563
Report Number(s):
NREL/JA-5400-71542
Journal ID: ISSN 1938-6737
DOE Contract Number:  
AC36-08GO28308
Resource Type:
Journal Article
Journal Name:
ECS Transactions (Online)
Additional Journal Information:
Journal Volume: 80; Journal Issue: 10; Journal ID: ISSN 1938-6737
Publisher:
Electrochemical Society
Country of Publication:
United States
Language:
English
Subject:
25 ENERGY STORAGE; lithium-ion battery; life model; degradation; aging; energy storage

Citation Formats

Schimpe, Michael, Edler von Kuepach, Markus, Naumann, Maik, Hesse, Holger C., Smith, Kandler, and Jossen, Andreas. Comprehensive Modeling of Temperature-Dependent Degradation Mechanisms in Lithium Iron Phosphate Batteries. United States: N. p., 2017. Web. doi:10.1149/08010.0147ecst.
Schimpe, Michael, Edler von Kuepach, Markus, Naumann, Maik, Hesse, Holger C., Smith, Kandler, & Jossen, Andreas. Comprehensive Modeling of Temperature-Dependent Degradation Mechanisms in Lithium Iron Phosphate Batteries. United States. doi:10.1149/08010.0147ecst.
Schimpe, Michael, Edler von Kuepach, Markus, Naumann, Maik, Hesse, Holger C., Smith, Kandler, and Jossen, Andreas. Wed . "Comprehensive Modeling of Temperature-Dependent Degradation Mechanisms in Lithium Iron Phosphate Batteries". United States. doi:10.1149/08010.0147ecst.
@article{osti_1437563,
title = {Comprehensive Modeling of Temperature-Dependent Degradation Mechanisms in Lithium Iron Phosphate Batteries},
author = {Schimpe, Michael and Edler von Kuepach, Markus and Naumann, Maik and Hesse, Holger C. and Smith, Kandler and Jossen, Andreas},
abstractNote = {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.},
doi = {10.1149/08010.0147ecst},
journal = {ECS Transactions (Online)},
issn = {1938-6737},
number = 10,
volume = 80,
place = {United States},
year = {2017},
month = {10}
}