Research on State-of-Health Estimation for Lithium-Ion Batteries Based on the Charging Phase
Published 2023 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Research on State-of-Health Estimation for Lithium-Ion Batteries Based on the Charging Phase
Authors
Keywords
-
Journal
Energies
Volume 16, Issue 3, Pages 1420
Publisher
MDPI AG
Online
2023-02-01
DOI
10.3390/en16031420
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Constant current charging time based fast state-of-health estimation for lithium-ion batteries
- (2022) Chuanping Lin et al. ENERGY
- Multistage State of Health Estimation of Lithium-Ion Battery With High Tolerance to Heavily Partial Charging
- (2022) Zhongbao Wei et al. IEEE TRANSACTIONS ON POWER ELECTRONICS
- A novel method for state of health estimation of lithium-ion batteries based on improved LSTM and health indicators extraction
- (2022) Yan Ma et al. ENERGY
- Online Estimations of Li-Ion Battery SOC and SOH Applicable to Partial Charge/Discharge
- (2022) Amin Bavand et al. IEEE Transactions on Transportation Electrification
- 3D-printing textiles: multi-stage mechanical characterization of additively manufactured biaxial weaves
- (2022) M. Wirth et al. MATERIALS & DESIGN
- State-of-Health Estimation for Lithium-ion Batteries by Combining Model-Based Incremental Capacity Analysis with Support Vector Regression
- (2021) Yajun Zhang et al. ENERGY
- Review on state-of-health of lithium-ion batteries: Characterizations, estimations and applications
- (2021) Sijia Yang et al. Journal of Cleaner Production
- State of health estimation for lithium-ion battery based on the coupling-loop nonlinear autoregressive with exogenous inputs neural network
- (2021) Zhiquan Cui et al. ELECTROCHIMICA ACTA
- State-of-health estimation and remaining useful life prediction for the lithium-ion battery based on a variant long short term memory neural network
- (2020) Penghua Li et al. JOURNAL OF POWER SOURCES
- Joint estimation of battery state-of-charge and state-of-health based on a simplified pseudo-two-dimensional model
- (2020) Boyang Liu et al. ELECTROCHIMICA ACTA
- A novel deep learning framework for state of health estimation of lithium-ion battery
- (2020) Yaxiang Fan et al. Journal of Energy Storage
- Battery health prediction under generalized conditions using a Gaussian process transition model
- (2019) Robert R. Richardson et al. Journal of Energy Storage
- A deep learning method for online capacity estimation of lithium-ion batteries
- (2019) Sheng Shen et al. Journal of Energy Storage
- Entropy-induced temperature variation as a new indicator for state of health estimation of lithium-ion cells
- (2018) Yao Wu et al. ELECTROCHIMICA ACTA
- A quick on-line state of health estimation method for Li-ion battery with incremental capacity curves processed by Gaussian filter
- (2018) Yi Li et al. JOURNAL OF POWER SOURCES
- A novel prediction method based on the support vector regression for the remaining useful life of lithium-ion batteries
- (2018) Qi Zhao et al. MICROELECTRONICS RELIABILITY
- A Novel Estimation Method for the State of Health of Lithium-Ion Battery Using Prior Knowledge-Based Neural Network and Markov Chain
- (2018) Houde Dai et al. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
- Gaussian process regression for forecasting battery state of health
- (2017) Robert R. Richardson et al. JOURNAL OF POWER SOURCES
- State-of-health estimation for the lithium-ion battery based on support vector regression
- (2017) Duo Yang et al. APPLIED ENERGY
- State of health estimation algorithm of LiFePO4 battery packs based on differential voltage curves for battery management system application
- (2016) Maitane Berecibar et al. ENERGY
- State of health and charge measurements in lithium-ion batteries using mechanical stress
- (2014) John Cannarella et al. JOURNAL OF POWER SOURCES
- A comparative study of commercial lithium ion battery cycle life in electric vehicle: Capacity loss estimation
- (2014) Xuebing Han et al. JOURNAL OF POWER SOURCES
- A support vector machine-based state-of-health estimation method for lithium-ion batteries under electric vehicle operation
- (2014) Verena Klass et al. JOURNAL OF POWER SOURCES
- Prognostics of lithium-ion batteries based on relevance vectors and a conditional three-parameter capacity degradation model
- (2013) Dong Wang et al. JOURNAL OF POWER SOURCES
- On-board state of health monitoring of lithium-ion batteries using incremental capacity analysis with support vector regression
- (2013) Caihao Weng et al. JOURNAL OF POWER SOURCES
- Enhanced coulomb counting method for estimating state-of-charge and state-of-health of lithium-ion batteries
- (2009) Kong Soon Ng et al. APPLIED ENERGY
Add your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload NowCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now