A Single Particle-Based Battery Degradation Model Including Chemical and Mechanical Degradation Physics
Abstract
Accurate and rapid prediction of the status of a lithium-ion battery is an important process in Battery Management System (BMS). In this work, a single particle model is developed by focusing on crack propagation coupled with Solid Electrolyte Interface (SEI) layer formation and its evolution. The lithium ion loss due to the SEI layer evolution is integrated with our previously developed advanced single panicle model that includes electrolytic physics. This mode! is fairly well predictive of capacity fade and voltage change as a function of cycle number and temperature. Despite its implementation in a single particle model, the results provide quantitative information on the role of SEI layer growth and crack propagation, and corresponding capacity fade and power loss.
Recommended Citation
J. Li et al., "A Single Particle-Based Battery Degradation Model Including Chemical and Mechanical Degradation Physics," ECS Transactions, vol. 77, no. 11, pp. 1003 - 1014, Electrochemical Society Inc., Jun 2017.
The definitive version is available at https://doi.org/10.1149/07711.1003ecst
Meeting Name
231st ECS Meeting (2017: May 28-Jun. 1, New Orleans, LA)
Department(s)
Mechanical and Aerospace Engineering
Research Center/Lab(s)
Center for High Performance Computing Research
Keywords and Phrases
Crack propagation; Cracks; Electric batteries; Electrolytes; Lithium-ion batteries; Seebeck effect; Solid electrolytes, Battery degradation; Layer formation; Mechanical degradation; Quantitative information; Single particle; Single-particle model; Solid electrolyte interfaces; Voltage change, Battery management systems
International Standard Book Number (ISBN)
978-160768539-5
International Standard Serial Number (ISSN)
1938-5862; 1938-6737
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2017 Electrochemical Society Inc., All rights reserved.
Publication Date
01 Jun 2017