A review of state of health and remaining useful life estimation methods for lithium-ion battery in electric vehicles: Challenges and recommendations

Journal of Cleaner Production ◽

10.1016/j.jclepro.2018.09.065 ◽

2018 ◽

Vol 205 ◽

pp. 115-133 ◽

Author(s):

M.S. Hossain Lipu ◽

M.A. Hannan ◽

Aini Hussain ◽

M.M. Hoque ◽

Pin J. Ker ◽

...

Keyword(s):

Lithium Ion Battery ◽

Electric Vehicles ◽

Lithium Ion ◽

Remaining Useful Life ◽

Estimation Methods ◽

State Of Health ◽

Life Estimation ◽

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The Remaining Useful Life Estimation of Lithium-ion Battery Based on Improved Extreme Learning Machine Algorithm

International Journal of Electrochemical Science ◽

10.20964/2018.05.84 ◽

2018 ◽

pp. 4991-5004 ◽

Author(s):

Jing Yang ◽

Keyword(s):

Lithium Ion Battery ◽

Extreme Learning Machine ◽

Lithium Ion ◽

Remaining Useful Life ◽

Life Estimation ◽

Useful Life ◽

Learning Machine

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State-of-Health Estimation and Remaining-Useful-Life Prediction for Lithium-Ion Battery Using a Hybrid Data-Driven Method

IEEE Transactions on Vehicular Technology ◽

10.1109/tvt.2020.3014932 ◽

2020 ◽

Vol 69 (10) ◽

pp. 10854-10867 ◽

Author(s):

Bin Gou ◽

Yan Xu ◽

Xue Feng

Keyword(s):

Lithium Ion Battery ◽

Life Prediction ◽

Lithium Ion ◽

Remaining Useful Life ◽

Data Driven ◽

State Of Health ◽

Hybrid Data ◽

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Prognosis and Remaining Useful Life Estimation of Lithium-Ion Battery with Optimal Multi-Level Particle Filter and Genetic Algorithm

Batteries ◽

10.3390/batteries4020015 ◽

2018 ◽

Vol 4 (2) ◽

pp. 15 ◽

Author(s):

Chinedu Ossai

Keyword(s):

Genetic Algorithm ◽

Particle Filter ◽

Lithium Ion Battery ◽

Lithium Ion ◽

Remaining Useful Life ◽

Life Estimation ◽

Useful Life ◽

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Lithium-ion battery state of health monitoring and remaining useful life prediction based on support vector regression-particle filter

Journal of Power Sources ◽

10.1016/j.jpowsour.2014.07.176 ◽

2014 ◽

Vol 271 ◽

pp. 114-123 ◽

Author(s):

Hancheng Dong ◽

Xiaoning Jin ◽

Yangbing Lou ◽

Changhong Wang

Keyword(s):

Particle Filter ◽

Support Vector Regression ◽

Lithium Ion Battery ◽

Health Monitoring ◽

Life Prediction ◽

Lithium Ion ◽

Remaining Useful Life ◽

Support Vector ◽

State Of Health ◽

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LITHIUM-ION BATTERY REMAINING USEFUL LIFE ESTIMATION BASED ON ENSEMBLE LEARNING WITH LS-SVM ALGORITHM

Advances in Battery Manufacturing, Service, and Management Systems ◽

10.1002/9781119060741.ch9 ◽

2016 ◽

pp. 217-232 ◽

Author(s):

Yu Peng ◽

Siyuan Lu ◽

Wei Xie ◽

Datong Liu ◽

Haitao Liao

Keyword(s):

Lithium Ion Battery ◽

Ensemble Learning ◽

Lithium Ion ◽

Remaining Useful Life ◽

Life Estimation ◽

Svm Algorithm ◽

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Uncertainty quantification of fusion prognostics for lithium-ion battery remaining useful life estimation

2013 IEEE Conference on Prognostics and Health Management (PHM) ◽

10.1109/icphm.2013.6621441 ◽

2013 ◽

Author(s):

Datong Liu ◽

Yue Luo ◽

Limeng Guo ◽

Yu Peng

Keyword(s):

Uncertainty Quantification ◽

Lithium Ion Battery ◽

Lithium Ion ◽

Remaining Useful Life ◽

Life Estimation ◽

Useful Life ◽

Fusion Prognostics

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Lithium-ion Battery Degradation Assessment and Remaining Useful Life Estimation in Hybrid Electric Vehicle

Renewable Energy and Sustainable Development ◽

10.21622/resd.2016.02.1.037 ◽

2016 ◽

Vol 2 (1) ◽

pp. 37-44 ◽

Author(s):

Nabil Laayouj ◽

◽

Hicham Jamouli

Keyword(s):

Lithium Ion Battery ◽

Electric Vehicle ◽

Hybrid Electric Vehicle ◽

Lithium Ion ◽

Remaining Useful Life ◽

Life Estimation ◽

Battery Degradation ◽

Useful Life ◽

Hybrid Electric

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An optimized Relevance Vector Machine with incremental learning strategy for lithium-ion battery remaining useful life estimation

2013 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) ◽

10.1109/i2mtc.2013.6555479 ◽

2013 ◽

Author(s):

Jianbao Zhou ◽

Datong Liu ◽

Yu Peng ◽

Xiyuan Peng

Keyword(s):

Lithium Ion Battery ◽

Incremental Learning ◽

Learning Strategy ◽

Lithium Ion ◽

Relevance Vector Machine ◽

Remaining Useful Life ◽

Life Estimation ◽

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Satellite lithium-ion battery remaining useful life estimation with an iterative updated RVM fused with the KF algorithm

Chinese Journal of Aeronautics ◽

10.1016/j.cja.2017.11.010 ◽

2018 ◽

Vol 31 (1) ◽

pp. 31-40 ◽

Author(s):

Yuchen SONG ◽

Datong LIU ◽

Yandong HOU ◽

Jinxiang YU ◽

Yu PENG

Keyword(s):

Lithium Ion Battery ◽

Lithium Ion ◽

Remaining Useful Life ◽

Life Estimation ◽

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Prediction of remaining useful life for a composite electrode lithium ion battery cell using an electrochemical model to estimate the state of health

Journal of Power Sources ◽

10.1016/j.jpowsour.2020.228861 ◽

2021 ◽

Vol 481 ◽

pp. 228861

Author(s):

Kaveh Khodadadi Sadabadi ◽

Xin Jin ◽

Giorgio Rizzoni

Keyword(s):

Lithium Ion Battery ◽

Composite Electrode ◽

Lithium Ion ◽

The State ◽

Remaining Useful Life ◽

State Of Health ◽

Battery Cell ◽

Useful Life ◽

Electrochemical Model

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