Using degradation-with-jump measures to estimate life characteristics of lithium-ion battery

Yin, Shu; Feng, Qianmei; Líu, Hao

doi:10.1016/j.ress.2019.106515

Cited by 7 publications

(2 citation statements)

References 46 publications

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“…1,2 Serving as a critical part of PHM, degradation analysis is often used to analyze condition monitoring data for state of health assessment and remaining useful life prediction. Plenty of degradation analysis methods have been introduced and deployed for various products, such as lithium-ion batteries, 3,4 rolling bearings, 5,6 and so on. Degradation model and inference method are two indispensable recipes for achieving high-precision and high-efficiency degradation analysis.…”

Section: Introductionmentioning

confidence: 99%

Degradation analysis with nonlinear exponential‐dispersion process: Bayesian offline and online perspectives

Ding

Zhu

Peng

et al. 2022

Quality & Reliability Eng

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Exponential‐dispersion (ED) process has been recently introduced and demonstrated as a promising degradation model, which can include classical Wiener, gamma, and inverse Gaussian (IG) processes as special cases. However, most related studies are based on offline and point estimation methods, which limit their capability for uncertainty quantification and online update inference. In this paper, nonlinear ED process models equipped with Bayesian offline and online inference methods are presented. Tweedie ED process models are studied for degradation analysis with accelerated factors and unit‐to‐unit variability. Bayesian offline method based on NO‐U‐Turn sampler (NUTS) algorithm and Bayesian online method based on particle filter are developed, respectively. The offline method is presented to enhance the ED process based degradation analysis with uncertainty quantification. The online method is developed for the applications with limited storage and computing resources, for which degradation observations are analyzed on‐the‐fly with improved efficiency. Effectiveness and characteristics of the proposed methods are demonstrated through a simulation study and two case studies.

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Section: Introductionmentioning

confidence: 99%

Degradation analysis with nonlinear exponential‐dispersion process: Bayesian offline and online perspectives

Ding

Zhu

Peng

et al. 2022

Quality & Reliability Eng

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“…Considering external factors, Wiener‐based stochastic covariate models in Ebrahimi (2001), Markov modulated linear processes and Markov modulated compound Poisson processes in Kharoufeh et al (Kharoufeh, 2003; Kharoufeh et al, 2006, 2013; Kharoufeh & Cox, 2005; Kharoufeh & Mixon, 2009) were studied recently. Poisson process is a special case of Lévy process, thus the linear‐based and Poisson‐based stochastic models are not flexible in general cases (Shu et al, 2015, 2016, 2019).…”

Section: Introductionmentioning

confidence: 99%

Markov additive processes for degradation with jumps under dynamic environments

Yin

Feng

Kao

et al. 2021

Naval Research Logistics

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We use general Markov additive processes (Markov modulated Lévy processes) to integrally handle the complexity of degradation including internally‐induced and externally‐induced stochastic properties with complex jump mechanisms. The background component of the Markov additive process is a Markov chain defined on a finite state space; the additive component evolves as a Lévy subordinator under a certain background state, and may have instantaneous nonnegative jumps occurring at the time the background state switches. We derive the Fokker–Planck equations for such Markov modulated processes, based on which we derive Laplace expressions for reliability function and lifetime moments, represented by the infinitesimal generator matrices of Markov chain and the Lévy measure of Lévy subordinator. The superiority of our models is their flexibility in modeling degradation data with jumps under dynamic environments. Numerical experiments are used to demonstrate that our general models perform well.

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Reliability-based design optimization of a pouch battery module using Gaussian process modeling in the presence of cell swelling

Choi,

Son,

Choi

et al. 2023

Struct Multidisc Optim

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Using degradation-with-jump measures to estimate life characteristics of lithium-ion battery

Cited by 7 publications

References 46 publications

Degradation analysis with nonlinear exponential‐dispersion process: Bayesian offline and online perspectives

Degradation analysis with nonlinear exponential‐dispersion process: Bayesian offline and online perspectives

Markov additive processes for degradation with jumps under dynamic environments

Reliability-based design optimization of a pouch battery module using Gaussian process modeling in the presence of cell swelling

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