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Real-time state of charge estimation of electrochemical model for lithium-ion battery
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Fan, Chuanxin, Higgins, Matthew D. and Widanage, Widanalage Dhammika (2020) Real-time state of charge estimation of electrochemical model for lithium-ion battery. In: 2019 IEEE Vehicle Power and Propulsion Conference (VPPC), Hanoi, Vietnam, 14 -17 Oct 2019. Published in: 2019 IEEE Vehicle Power and Propulsion Conference (VPPC) ISBN 9781728112497. doi:10.1109/VPPC46532.2019.8952284
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WRAP-real-time-state-charge-estimation-electrochemical-model-lithium-ion-battery-Chuanxin-2020.pdf - Accepted Version - Requires a PDF viewer. Download (2223Kb) | Preview |
Official URL: http://doi.org/10.1109/VPPC46532.2019.8952284
Abstract
This paper proposes the real-time Kalman filter based observer for Lithium-ion concentration estimation for the electrochemical battery model. Since the computation limitation of real-time battery management system (BMS) micro-processor, the battery model which is utilized in observer has been further simplified. In this paper, the Kalman filter based observer is applied on a reduced order model of single particle model to reduce computational burden for real-time applications. Both solid phase surface lithium concentration and battery state of charge (SoC) can be estimated with real-time capability. Software simulation results and the availability comparison of observers in different Hardware-in- the-loop simulation setups demonstrate the performance of the proposed method in state estimation and real-time application.
Item Type: | Conference Item (Paper) | ||||||
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Subjects: | T Technology > TA Engineering (General). Civil engineering (General) T Technology > TJ Mechanical engineering and machinery T Technology > TK Electrical engineering. Electronics Nuclear engineering |
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Divisions: | Faculty of Science, Engineering and Medicine > Engineering > WMG (Formerly the Warwick Manufacturing Group) | ||||||
Library of Congress Subject Headings (LCSH): | Lithium ion batteries , Battery Management Systems, Hardware-in-the-loop simulation , Electric vehicles -- Batteries | ||||||
Journal or Publication Title: | 2019 IEEE Vehicle Power and Propulsion Conference (VPPC) | ||||||
Publisher: | IEEE | ||||||
ISBN: | 9781728112497 | ||||||
Official Date: | 9 January 2020 | ||||||
Dates: |
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DOI: | 10.1109/VPPC46532.2019.8952284 | ||||||
Status: | Peer Reviewed | ||||||
Publication Status: | Published | ||||||
Reuse Statement (publisher, data, author rights): | © 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | ||||||
Access rights to Published version: | Restricted or Subscription Access | ||||||
Date of first compliant deposit: | 8 January 2020 | ||||||
Date of first compliant Open Access: | 17 January 2020 | ||||||
RIOXX Funder/Project Grant: |
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Conference Paper Type: | Paper | ||||||
Title of Event: | 2019 IEEE Vehicle Power and Propulsion Conference (VPPC) | ||||||
Type of Event: | Conference | ||||||
Location of Event: | Hanoi, Vietnam | ||||||
Date(s) of Event: | 14 -17 Oct 2019 |
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