Prognostics Health Estimation of Lithium-ion Batteries in Charge-Decay Estimation Uncertainties – A Comparative Analysis
This study uses nonlinear mixed effect-based degradation modeling that considers the influence of uncertainties on the state-of-charge of lithium-ion batteries to determine the State-of-Health (SOH) of the batteries at different End-of-Life (EOL) failure thresholds. The results of the analysis obtai...
Main Author: | Chinedu I. Ossai |
---|---|
Format: | Article |
Language: | English |
Published: |
The Prognostics and Health Management Society
2018-06-01
|
Series: | International Journal of Prognostics and Health Management |
Subjects: | |
Online Access: | https://papers.phmsociety.org/index.php/ijphm/article/view/2703 |
Similar Items
-
Statistical Characterization of the State-of-Health of Lithium-Ion Batteries with Weibull Distribution Function—A Consideration of Random Effect Model in Charge Capacity Decay Estimation
by: Chinedu I. Ossai, et al.
Published: (2017-10-01) -
A Nonlinear-Model-Based Observer for a State-of-Charge Estimation of a Lithium-Ion Battery in Electric Vehicles
by: Woo-Yong Kim, et al.
Published: (2019-09-01) -
State-of-Charge Estimation of Lithium-Ion Batteries in the Battery Degradation Process Based on Recurrent Neural Network
by: Shuqing Li, et al.
Published: (2021-01-01) -
Current Trends for State-of-Charge (SoC) Estimation in Lithium-Ion Battery Electric Vehicles
by: Ingvild B. Espedal, et al.
Published: (2021-06-01) -
Fast Estimation of State of Charge for Lithium-Ion Batteries
by: Shing-Lih Wu, et al.
Published: (2014-05-01)