z-logo
open-access-imgOpen Access
Decomposition Study of Degradation Reasons for LiCoO2-Based 14500 Lithium-Ion Batteries Using a Nondestructive Method
Author(s) -
Liqiang Zhang,
Chao Lyu
Publication year - 2018
Publication title -
ieee access
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.587
H-Index - 127
ISSN - 2169-3536
DOI - 10.1109/access.2018.2858273
Subject(s) - aerospace , bioengineering , communication, networking and broadcast technologies , components, circuits, devices and systems , computing and processing , engineered materials, dielectrics and plasmas , engineering profession , fields, waves and electromagnetics , general topics for engineers , geoscience , nuclear engineering , photonics and electrooptics , power, energy and industry applications , robotics and control systems , signal processing and analysis , transportation
Detailed information about the components of degradation is quite beneficial for the prognostics and health management study of lithium-ion batteries. This paper reports a nondestructive method for the decomposition study of the reasons of degradation for LiCoO2 batteries. The values of parameters of the multiphysics model are obtained in a four-pattern aging test and, then, the components of the capacity fade, overpotential rise, and heat behavior are quantitatively calculated by using the identified parameters and model simulation. The capacity fade is divided into three components due to the changes of parameter, the volume fraction of active material (εs), and stoichiometric numbers (x0 and xend) during aging process. The overpotential rising is divided into three components according to the reaction overpotential and the terminal voltage equations in the multiphysics model. In addition, the heat generation is divided into three components and the heat exchange is divided into two components based on the thermal part of the multiphysics model. All the decomposition results are graphically shown, and the ratios of the degradation components are presented in tables. The proposed method is expected to extend the applications of the multiphysics model and bring a new idea to the primary diagnosis of lithium-ion battery.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom