Journal ArticleDOI
Remaining useful lifetime prediction based on the damage-marker bivariate degradation model: A case study on lithium-ion batteries used in electric vehicles
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In this article, the authors used a two-dimensional Wiener process to obtain the remaining useful lifetime (RUL) distribution, using method of maximum likelihood for population parameters' estimation.About:
This article is published in Engineering Failure Analysis.The article was published on 2016-12-01. It has received 43 citations till now. The article focuses on the topics: Population.read more
Citations
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Battery Lifetime Prognostics
TL;DR: A timely and comprehensive review of the battery lifetime prognostic technologies with a focus on recent advances in model-based, data-driven, and hybrid approaches is presented, analyzed, and compared.
Journal ArticleDOI
Degradation data analysis and remaining useful life estimation: A review on Wiener-process-based methods
TL;DR: This paper reviews recent modeling developments of the Wiener-process-based methods for degradation data analysis and RUL estimation, as well as their applications in the field of prognostics and health management (PHM).
Journal ArticleDOI
An improved unscented particle filter approach for lithium-ion battery remaining useful life prediction
TL;DR: An improved PF algorithm, that is, the unscented particle filter (UPF) based on linear optimizing combination resampling (U-LOCR-PF) to improve the prediction accuracy, and shows higher accuracy in the RUL prediction of lithium-ion battery, compared with the existing PF-based and UPF-based prognostic methods.
Journal ArticleDOI
A review on state of health estimations and remaining useful life prognostics of lithium-ion batteries
TL;DR: The SOH estimations and RUL prognostics of lithium-ion batteries are reviewed by analyzing the research status, and the respective methods are divided into specific groups and the advantages and limitations of the battery management system application are discussed.
Journal ArticleDOI
State of health estimation of lithium-ion batteries based on the constant voltage charging curve
TL;DR: The correlation analysis and performance assessment prove the adaptability and effectiveness of the proposed method for estimating state of health of lithium-ion batteries.
References
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Journal ArticleDOI
Main aging mechanisms in Li ion batteries
Michel Broussely,Ph. Biensan,F. Bonhomme,Ph. Blanchard,S. Herreyre,Kamen Nechev,Robert J. Staniewicz +6 more
TL;DR: In this paper, the aging mechanisms occurring in Li ion batteries, either on rest or on cycling, are described from long-term storage or cycling data, and the results are an increase of cell impedance, and possible slow CO2 evolution.
Journal ArticleDOI
Theory of SEI Formation in Rechargeable Batteries: Capacity Fade, Accelerated Aging and Lifetime Prediction
TL;DR: In this article, a single-particle model was proposed to predict the lifetime of rechargeable batteries with graphite anodes based on limited accelerated aging data for short times and elevated temperatures.
Journal ArticleDOI
A review on prognostics and health monitoring of Li-ion battery
Jingliang Zhang,Jay Lee +1 more
TL;DR: Li-ion battery prognostics and health monitoring have received more and more attention from a wide spectrum of stakeholders, including federal/state policymakers, business leaders, technical researchers, environmental groups and the general public.
Journal ArticleDOI
The inverse gaussian distribution: theory, methodology, and applications
Raj S. Chhikara,J. Leroy Folks +1 more
TL;DR: Inverse Gaussian distributions have been used for life testing and reliability as mentioned in this paper, and they have been applied in a variety of applications, such as life testing, reliability, and life assurance.
Journal ArticleDOI
Lithium-ion rechargeable batteries
Sid Megahed,Bruno Scrosati +1 more
TL;DR: In this paper, the authors describe the properties of the anode, cathode and electrolyte materials which presently seem to be the most promising for the development of these batteries, and evaluate the impact that the rockingchair concept may ultimately have on the progress of rechargeable lithium battery technology.
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