A New Lithium-Ion Battery SOH Estimation Method Based on an Indirect Enhanced Health Indicator and Support Vector Regression in PHMs
An accurate lithium-ion battery state of health (SOH) estimate is a key factor in guaranteeing the reliability of electronic equipment. This paper proposes a new method that is based on an indirect enhanced health indicator (HI) and uses support vector regression (SVR) to estimate SOH values. First,...
Hauptverfasser: | Zhengyu Liu, Jingjie Zhao, Hao Wang, Chao Yang |
---|---|
Format: | Artikel |
Sprache: | English |
Veröffentlicht: |
MDPI AG
2020-02-01
|
Schriftenreihe: | Energies |
Schlagworte: | |
Online Zugang: | https://www.mdpi.com/1996-1073/13/4/830 |
Ähnliche Einträge
-
Health State Prediction of Lithium-Ion Battery Based on Improved Sparrow Search Algorithm and Support Vector Regression
von: Deyang Yin, et al.
Veröffentlicht: (2024-11-01) -
SOH and RUL Prediction of Lithium-Ion Batteries Based on Gaussian Process Regression with Indirect Health Indicators
von: Jianfang Jia, et al.
Veröffentlicht: (2020-01-01) -
Lithium-Ion Battery SOH Estimation Based on XGBoost Algorithm with Accuracy Correction
von: Shuxiang Song, et al.
Veröffentlicht: (2020-02-01) -
A method based on improved ant lion optimization and support vector regression for remaining useful life estimation of lithium‐ion batteries
von: Yingzhou Wang, et al.
Veröffentlicht: (2019-12-01) -
Flammability of cartoned lithium ion batteries /
von: Long, R. Thomas, author, et al.
Veröffentlicht: (2014)