Parameter estimation of three-parameter Weibull probability model based on outlier detection-Reference-Cited by-同舟云学术

Parameter estimation of three-parameter Weibull probability model based on outlier detection

Published:2022 Issue:53 Volume:12 Page:34154-34164
ISSN:2046-2069
Container-title:RSC Advances
language:en
Short-container-title:RSC Adv.

Author:

Zhang Hang¹,Gao Zhefeng¹,Du Chenran¹^ORCID,Bi Shansong¹,Fang Yanyan¹,Yun Fengling¹,Fang Sheng¹,Yu Zhanglong¹,Cui Yi¹,Shen Xueling¹

Affiliation:

1. China Automotive Battery Research Institute Co., Ltd., No. 11 Xingke East Street, Yanqi Economic Development Area, Huairou District, Beijing, 101407, China

Abstract

An estimation of the three parameter Weibull model parameters excludes the outliers and gives an accurate description of Li-ion battery capacity distribution, outperforming the maximum likelihood estimated Weibull model and the normal distribution.

Funder

Beijing Natural Science Foundation

General Research Institute for Nonferrous Metals

Publisher

Royal Society of Chemistry (RSC)

Subject

General Chemical Engineering,General Chemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2022/RA/D2RA05446A

Reference34 articles.

1. Lithium-ion cell inconsistency analysis based on three-parameter Weibull probability model

2. Understanding Discharge Voltage Inconsistency in Lithium-Ion Cells via Statistical Characteristics and Numerical Analysis

3. S.Weisberg , Applied linear regression , John Wiley & Sons , 2005 , vol. 528

4. T. S.Ferguson , On the rejection of outliers , in Proceedings of the fourth Berkeley symposium on mathematical statistics and probability , University of California Press , Berkeley and Los Angeles , 1961 , vol. 1 , no. 1, pp. 253–287

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