Liu, K, Gao, Y, Li, K orcid.org/0000-0001-6657-0522 et al. (5 more authors) (2022) Electrochemical modeling and parameterization towards control-oriented management of lithium-ion batteries. Control Engineering Practice, 124. 105176. ISSN 0967-0661
Abstract
Battery management systems based on electrochemical models could achieve more accurate state estimations and efficient battery controls with access to cell unmeasurable physical variables. As battery electrochemical models are governed by first-principle partial differential equation sets, model complexity and multiple parameter determination are bottlenecks for their wider applications. This paper gives a systematical review of recent advancements in electrochemical model development and parameterization. Specifically, classic pseudo-two-dimensional model and related model order reduction methodologies are first summarized and analyzed. Given that the homogenization hypothesis of the pseudo-two-dimensional model could lead to significant model mismatch under some operational conditions, enhanced models considering cell internal inhomogeneity with multi-particles, multi-scales, aging and thermal dynamics are examined. To facilitate model portability, parameter identification techniques of these models are classified, and solutions for optimizing the parameterization procedure are explored. Finally, current research gaps in the literature and remaining challenges are discussed and highlighted with some suggestions. This review will therefore inform the engineers of battery management and control engineering, whilst boosting the research, design and operation of control-oriented electrochemical models for smarter battery management at different readiness levels.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2022 Elsevier Ltd. All rights reserved. This is an author produced version of an article published in Control Engineering Practice. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Lithium-ion battery; Control-oriented management; Energy storage; Electrochemical model; Model reduction; Parameter identification |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds) > Institute of Communication & Power Networks (Leeds) |
Funding Information: | Funder Grant number EPSRC (Engineering and Physical Sciences Research Council) EP/R030243/1 |
Depositing User: | Symplectic Publications |
Date Deposited: | 11 Apr 2022 09:01 |
Last Modified: | 23 Apr 2023 00:13 |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.conengprac.2022.105176 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:185431 |
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Filename: Electrochemical_modeling_review_2021_final accepted version.pdf
Licence: CC-BY-NC-ND 4.0