Robust Online State of Charge Estimation of Lithium-Ion Battery Pack Based on Error Sensitivity Analysis
Joint Authors
Zhao, Ting
Jiang, Jiuchun
Zhang, Caiping
Bai, Kai
Li, Na
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-10-22
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
Accurate and reliable state of charge (SOC) estimation is a key enabling technique for large format lithium-ion battery pack due to its vital role in battery safety and effective management.
This paper tries to make three contributions to existing literatures through robust algorithms.
(1) Observer based SOC estimation error model is established, where the crucial parameters on SOC estimation accuracy are determined by quantitative analysis, being a basis for parameters update.
(2) The estimation method for a battery pack in which the inconsistency of cells is taken into consideration is proposed, ensuring all batteries’ SOC ranging from 0 to 1, effectively avoiding the battery overcharged/overdischarged.
Online estimation of the parameters is also presented in this paper.
(3) The SOC estimation accuracy of the battery pack is verified using the hardware-in-loop simulation platform.
The experimental results at various dynamic test conditions, temperatures, and initial SOC difference between two cells demonstrate the efficacy of the proposed method.
American Psychological Association (APA)
Zhao, Ting& Jiang, Jiuchun& Zhang, Caiping& Bai, Kai& Li, Na. 2015. Robust Online State of Charge Estimation of Lithium-Ion Battery Pack Based on Error Sensitivity Analysis. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-11.
https://search.emarefa.net/detail/BIM-1074171
Modern Language Association (MLA)
Zhao, Ting…[et al.]. Robust Online State of Charge Estimation of Lithium-Ion Battery Pack Based on Error Sensitivity Analysis. Mathematical Problems in Engineering No. 2015 (2015), pp.1-11.
https://search.emarefa.net/detail/BIM-1074171
American Medical Association (AMA)
Zhao, Ting& Jiang, Jiuchun& Zhang, Caiping& Bai, Kai& Li, Na. Robust Online State of Charge Estimation of Lithium-Ion Battery Pack Based on Error Sensitivity Analysis. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-11.
https://search.emarefa.net/detail/BIM-1074171
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1074171