Online State of Health Estimation of Lithium-Ion Batteries Based on Charging Process and Long Short-Term Memory Recurrent Neural Network
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Title
Online State of Health Estimation of Lithium-Ion Batteries Based on Charging Process and Long Short-Term Memory Recurrent Neural Network
Authors
Keywords
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Journal
Batteries
Volume 9, Issue 2, Pages 94
Publisher
MDPI AG
Online
2023-01-31
DOI
10.3390/batteries9020094
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Note: Only part of the references are listed.- Combined influence of concentration-dependent properties, local deformation and boundary confinement on the migration of Li-ions in low-expansion electrode particle during lithiation
- (2022) Kausthubharam et al. Journal of Energy Storage
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- (2022) Sercan Yalçın et al. INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER
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- (2022) Pietro Iurilli et al. Batteries
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- (2019) Lin Zhao et al. Applied Sciences-Basel
- Online State-of-Health Estimation for Li-Ion Battery Using Partial Charging Segment Based on Support Vector Machine
- (2019) Xuning Feng et al. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
- A single particle model with chemical/mechanical degradation physics for lithium ion battery State of Health (SOH) estimation
- (2018) J. Li et al. APPLIED ENERGY
- Gaussian Process Regression for In-situ Capacity Estimation of Lithium-ion Batteries
- (2018) Robert R. Richardson et al. IEEE Transactions on Industrial Informatics
- A fast estimation algorithm for lithium-ion battery state of health
- (2018) Xiaopeng Tang et al. JOURNAL OF POWER SOURCES
- Advanced Lithium-Ion Batteries for Practical Applications: Technology, Development, and Future Perspectives
- (2018) Sinho Choi et al. Advanced Materials Technologies
- Gaussian process regression for forecasting battery state of health
- (2017) Robert R. Richardson et al. JOURNAL OF POWER SOURCES
- State-of-health estimation of lithium-ion battery packs in electric vehicles based on genetic resampling particle filter
- (2016) Jun Bi et al. APPLIED ENERGY
- A comprehensive review of lithium-ion batteries used in hybrid and electric vehicles at cold temperatures
- (2016) J. Jaguemont et al. APPLIED ENERGY
- A review on electric vehicle battery modelling: From Lithium-ion toward Lithium–Sulphur
- (2016) Abbas Fotouhi et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- A Health Indicator Extraction and Optimization Framework for Lithium-Ion Battery Degradation Modeling and Prognostics
- (2015) Datong Liu et al. IEEE Transactions on Systems Man Cybernetics-Systems
- A survey of mathematics-based equivalent-circuit and electrochemical battery models for hybrid and electric vehicle simulation
- (2014) Aden Seaman et al. JOURNAL OF POWER SOURCES
- Battery Management System: An Overview of Its Application in the Smart Grid and Electric Vehicles
- (2013) Habiballah Rahimi-Eichi et al. IEEE Industrial Electronics Magazine
- A comparative study of commercial lithium ion battery cycle life in electrical vehicle: Aging mechanism identification
- (2013) Xuebing Han et al. JOURNAL OF POWER SOURCES
- A Simplified Electrochemical and Thermal Aging Model of LiFePO4-Graphite Li-ion Batteries: Power and Capacity Fade Simulations
- (2013) E. Prada et al. JOURNAL OF THE ELECTROCHEMICAL SOCIETY
- An ensemble model for predicting the remaining useful performance of lithium-ion batteries
- (2013) Yinjiao Xing et al. MICROELECTRONICS RELIABILITY
- Online State-of-Health Estimation of VRLA Batteries Using State of Charge
- (2012) Mehrnoosh Shahriari et al. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
- Estimation of Battery State of Health Using Probabilistic Neural Network
- (2012) Ho-Ta Lin et al. IEEE Transactions on Industrial Informatics
- Prognostics of lithium-ion batteries based on Dempster–Shafer theory and the Bayesian Monte Carlo method
- (2011) Wei He et al. JOURNAL OF POWER SOURCES
- A review on prognostics and health monitoring of Li-ion battery
- (2011) Jingliang Zhang et al. JOURNAL OF POWER SOURCES
- State-of-health monitoring of lithium-ion batteries in electric vehicles by on-board internal resistance estimation
- (2010) Jürgen Remmlinger 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
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