Battery cycle life study through relaxation and forecasting the lifetime via machine learning
出版年份 2021 全文链接
标题
Battery cycle life study through relaxation and forecasting the lifetime via machine learning
作者
关键词
Relaxation study, Battery lifetime, Aging modeling, Machine learning, Gaussian process, Real-life validation
出版物
Journal of Energy Storage
Volume 40, Issue -, Pages 102726
出版商
Elsevier BV
发表日期
2021-05-28
DOI
10.1016/j.est.2021.102726
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Ensemble Gradient Boosted Tree for SoH Estimation Based on Diagnostic Features
- (2020) Sahar Khaleghi et al. Energies
- Electro-aging model development of nickel-manganese-cobalt lithium-ion technology validated with light and heavy-duty real-life profiles
- (2020) Md Sazzad Hosen et al. Journal of Energy Storage
- Data-driven prediction of battery cycle life before capacity degradation
- (2019) Kristen A. Severson et al. Nature Energy
- Investigation of significant capacity recovery effects due to long rest periods during high current cyclic aging tests in automotive lithium ion cells and their influence on lifetime
- (2019) Bernd Epding et al. Journal of Energy Storage
- Data-driven health estimation and lifetime prediction of lithium-ion batteries: A review
- (2019) Yi Li et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- Modified Gaussian Process Regression Models for Cyclic Capacity Prediction of Lithium-Ion Batteries
- (2019) Kailong Liu et al. IEEE Transactions on Transportation Electrification
- Gaussian Process Regression With Automatic Relevance Determination Kernel for Calendar Aging Prediction of Lithium-Ion Batteries
- (2019) Kailong Liu et al. IEEE Transactions on Industrial Informatics
- A combined thermo-electric resistance degradation model for nickel manganese cobalt oxide based lithium-ion cells
- (2018) Joris de Hoog et al. APPLIED THERMAL ENGINEERING
- Understanding ageing in Li-ion batteries: a chemical issue
- (2018) M. Rosa Palacín CHEMICAL SOCIETY REVIEWS
- Cycle aging studies of lithium nickel manganese cobalt oxide-based batteries using electrochemical impedance spectroscopy
- (2018) Arpit Maheshwari et al. ELECTROCHIMICA ACTA
- 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 critical review on self-adaptive Li-ion battery ageing models
- (2018) M. Lucu et al. JOURNAL OF POWER SOURCES
- Random forest regression for online capacity estimation of lithium-ion batteries
- (2018) Yi Li et al. APPLIED ENERGY
- Modeling of lithium plating induced aging of lithium-ion batteries: Transition from linear to nonlinear aging
- (2017) Xiao-Guang Yang et al. JOURNAL OF POWER SOURCES
- Gaussian process regression for forecasting battery state of health
- (2017) Robert R. Richardson et al. JOURNAL OF POWER SOURCES
- Degradation diagnostics for lithium ion cells
- (2017) Christoph R. Birkl et al. JOURNAL OF POWER SOURCES
- Critical review of state of health estimation methods of Li-ion batteries for real applications
- (2016) M. Berecibar et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- Cycle ageing analysis of a LiFePO 4 /graphite cell with dynamic model validations: Towards realistic lifetime predictions
- (2015) E. Sarasketa-Zabala et al. JOURNAL OF POWER SOURCES
- Rapidly falling costs of battery packs for electric vehicles
- (2015) Björn Nykvist et al. Nature Climate Change
- Incremental Support Vector Learning for Ordinal Regression
- (2015) Bin Gu et al. IEEE Transactions on Neural Networks and Learning Systems
- A holistic aging model for Li(NiMnCo)O2 based 18650 lithium-ion batteries
- (2014) Johannes Schmalstieg et al. JOURNAL OF POWER SOURCES
- Critical review of the methods for monitoring of lithium-ion batteries in electric and hybrid vehicles
- (2014) Wladislaw Waag et al. JOURNAL OF POWER SOURCES
- Lithium iron phosphate based battery – Assessment of the aging parameters and development of cycle life model
- (2013) Noshin Omar et al. APPLIED ENERGY
- Influence of relaxation time on the lifetime of commercial lithium-ion cells
- (2013) M. Reichert et al. JOURNAL OF POWER SOURCES
- A review on lithium-ion battery ageing mechanisms and estimations for automotive applications
- (2013) Anthony Barré et al. JOURNAL OF POWER SOURCES
- Stress evolution and capacity fade in constrained lithium-ion pouch cells
- (2013) John Cannarella et al. JOURNAL OF POWER SOURCES
- Calendar and cycle life study of Li(NiMnCo)O2-based 18650 lithium-ion batteries
- (2013) Madeleine Ecker et al. JOURNAL OF POWER SOURCES
- An ensemble model for predicting the remaining useful performance of lithium-ion batteries
- (2013) Yinjiao Xing et al. MICROELECTRONICS RELIABILITY
- Prognostics for state of health estimation of lithium-ion batteries based on combination Gaussian process functional regression
- (2013) Datong Liu et al. MICROELECTRONICS RELIABILITY
- Health diagnosis and remaining useful life prognostics of lithium-ion batteries using data-driven methods
- (2012) Adnan Nuhic et al. JOURNAL OF POWER SOURCES
- Advanced mathematical methods of SOC and SOH estimation for lithium-ion batteries
- (2012) Dave Andre et al. JOURNAL OF POWER SOURCES
- Lithium batteries: Status, prospects and future
- (2009) Bruno Scrosati et al. JOURNAL OF POWER SOURCES
Create your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create NowBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started