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Batteries 2017, 3(4), 32; doi:10.3390/batteries3040032

Statistical Characterization of the State-of-Health of Lithium-Ion Batteries with Weibull Distribution Function—A Consideration of Random Effect Model in Charge Capacity Decay Estimation

Engineering Product Development (EPD) Pillar, Singapore University of Technology and Design, Singapore 487372, Singapore
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Academic Editor: James Marco
Received: 4 August 2017 / Revised: 19 September 2017 / Accepted: 9 October 2017 / Published: 16 October 2017
(This article belongs to the Special Issue Battery Management Systems)
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Abstract

Effective prognosis of lithium-ion batteries involves the inclusion of the influences of uncertainties that can be incorporated through random effect parameters in a nonlinear mixed effect degradation model framework. This study is geared towards the estimation of the reliability of lithium-ion batteries, using parametric effects determination involving uncertainty, using a multiphase decay patterned sigmoidal model, experimental data and the Weibull distribution function. The random effect model, which uses Maximum Likelihood Estimation (MLE) and Stochastic Approximation Expectation Maximization (SAEM) algorithm to predict the parametric values, was found to estimate the remaining useful life (RUL) to an accuracy of more than 98%. The State-of-Health (SOH) of the batteries was estimated using the Weibull distribution function, which is found to be an appropriate formulation to use. View Full-Text
Keywords: charge capacity decay; end of life; reliability; state of health; uncertainty; Weibull distribution function charge capacity decay; end of life; reliability; state of health; uncertainty; Weibull distribution function
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Ossai, C.I.; Raghavan, N. Statistical Characterization of the State-of-Health of Lithium-Ion Batteries with Weibull Distribution Function—A Consideration of Random Effect Model in Charge Capacity Decay Estimation. Batteries 2017, 3, 32.

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