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Development of a lithium-ion battery model and state of charge estimation algorithm with hardware-in-the-loop validation
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Martinez-Vera, Erik, Marco, James, Ramirez-Cortez, J. M and Rangel-Magdalen0, J. (2019) Development of a lithium-ion battery model and state of charge estimation algorithm with hardware-in-the-loop validation. In: IEEE International Instrumentation and Measurement Technology Conference, Auckland, New Zealand, 20-23 May 2019. Published in: 2019 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) doi:10.1109/I2MTC.2019.8827050 ISSN 2642-2069.
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Official URL: https://doi.org/10.1109/I2MTC.2019.8827050
Abstract
A full-order Linear Observer is designed to estimate the State of Charge using a model of a Lithium-ion 18650 cell. The battery model consists of an Equivalent Circuit Network with parameters from test data of an actual cell provided as a function of State of Charge, temperature and Open Circuit Voltage. The model is validated against a current and voltage profile obtained from a real-world drive scenario. The observer is designed as a linearization of the state-space representation of the Equivalent Circuit Network and offline simulation is used to verify its robustness. With a Hardware-in-the-loop setup, the battery model and observer are implemented and results compared against the offline simulations showing strong agreement; thus, validating in real-time the estimation algorithm. Analysis of the results suggest that battery degradation affects the accuracy of the observer thus noting the need to update its parameters in real-time.
Item Type: | Conference Item (Paper) | ||||||
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Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering | ||||||
Divisions: | Faculty of Science, Engineering and Medicine > Engineering > WMG (Formerly the Warwick Manufacturing Group) | ||||||
Library of Congress Subject Headings (LCSH): | Lithium ion batteries, Automobiles -- Batteries, Hardware-in-the-loop simulation | ||||||
Journal or Publication Title: | 2019 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) | ||||||
Publisher: | IEEE | ||||||
ISSN: | 2642-2069 | ||||||
Official Date: | 9 September 2019 | ||||||
Dates: |
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DOI: | 10.1109/I2MTC.2019.8827050 | ||||||
Status: | Peer Reviewed | ||||||
Publication Status: | Published | ||||||
Reuse Statement (publisher, data, author rights): | © 2019 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: | 5 July 2019 | ||||||
Date of first compliant Open Access: | 8 July 2019 | ||||||
Conference Paper Type: | Paper | ||||||
Title of Event: | IEEE International Instrumentation and Measurement Technology Conference | ||||||
Type of Event: | Conference | ||||||
Location of Event: | Auckland, New Zealand | ||||||
Date(s) of Event: | 20-23 May 2019 | ||||||
Related URLs: |
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