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Understanding non-linearity in electrochemical systems using multisine-based non-linear characterization
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Fan, Chuanxin, Grandjean, Thomas R. B., O’Regan, Kieran, Kendrick, Emma and Widanage, Widanalage Dhammika (2021) Understanding non-linearity in electrochemical systems using multisine-based non-linear characterization. Transactions of the Institute of Measurement and Control . 014233122110459. doi:10.1177/01423312211045991 ISSN 0142-3312. (In Press)
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WRAP-Understanding-non-linearity-electrochemical-multisine-characterization-2021.pdf - Accepted Version - Requires a PDF viewer. Download (1150Kb) | Preview |
Official URL: http://dx.doi.org/10.1177/01423312211045991
Abstract
Background:
With the development of advanced characterization techniques, lithium-ion battery non-linearities have recently gained increased attention which can benefit battery health diagnosis and ageing mechanism identification. In comparison to conventional single sine wave-based methods, the multisine-based non-linear characterization method has the advantage of capturing the dynamic voltage response within a short testing duration, and therefore has further development potential for on-board applications. However, understanding lithium-ion battery electrochemical processes that contribute to battery non-linearities is still unclear.
Methods:
In this paper, the sensitivity of the Doyle–Fuller–Newman model parameters are analysed in the frequency domain to investigate the electrochemical processes that contribute to the non-linear dynamics of the voltage response. To begin with, the non-linearities of the Doyle–Fuller–Newman model with validated parameters are characterized and compared to experimental data from a commercial cell. This demonstrated a significant difference between the mathematical model and the non-linearities determined experimentally. Then, a global sensitivity analysis is applied to determine the most sensitive parameter contributing to battery non-linearities. Finally, the appropriate value of the most sensitive parameter which results in the closest non-linear response to the commercial battery is estimated through minimizing the root mean square error.
Results:
The results show that the charge transfer coefficient is the most sensitive parameter contributing to battery non-linearities among the Doyle–Fuller–Newman model parameters. The non-linear response of the Doyle–Fuller–Newman model is validated with good agreement with the experimental results, when the Butler–Volmer kinetic is asymmetrical due to the unequal anodic and cathodic charge transfer coefficients.
| Item Type: | Journal Article | |||||||||
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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 -- Materials, Electric batteries , Nonlinear mechanics, Battery management systems | |||||||||
| Journal or Publication Title: | Transactions of the Institute of Measurement and Control | |||||||||
| Publisher: | Sage Publications Ltd. | |||||||||
| ISSN: | 0142-3312 | |||||||||
| Official Date: | 2021 | |||||||||
| Dates: |
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| Article Number: | 014233122110459 | |||||||||
| DOI: | 10.1177/01423312211045991 | |||||||||
| Status: | Peer Reviewed | |||||||||
| Publication Status: | In Press | |||||||||
| Reuse Statement (publisher, data, author rights): | Fan C, Grandjean TRB, O’Regan K, Kendrick E, Widanage WD. Understanding non-linearity in electrochemical systems using multisine-based non-linear characterization. Transactions of the Institute of Measurement and Control. September 2021. doi:10.1177/01423312211045991 Copyright © 2021 (The Author). Reprinted by permission of SAGE Publications. Additionally, please provide a link to the appropriate DOI for the published version of the Contribution on the SAGE Journals website (http://journals.sagepub.com). | |||||||||
| Access rights to Published version: | Restricted or Subscription Access | |||||||||
| Date of first compliant deposit: | 23 September 2021 | |||||||||
| Date of first compliant Open Access: | 24 September 2021 | |||||||||
| RIOXX Funder/Project Grant: |
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