Review—Dynamic Models of Li-Ion Batteries for Diagnosis and Operation: A Review and Perspective
Name
Krewer_JElectrochemSoc_2018.pdf
Description
Published version
Size
1.35 MB
Format
Adobe PDF
Checksum (MD5)
83463701bd13e32258f1caf1752c9d30
Author(s)
Krewer, Ulrike
Röder, Fridolin
Harinath, Eranda
Braatz, Richard D
Bedürftig, Benjamin
Findeisen, Rolf
Date Issued
2018
Journal
Journal of The Electrochemical Society
Publisher
The Electrochemical Society
Version
Final published version
Abstract
© 2018 The Electrochemical Society. This article discusses the options and challenges of dynamic models for the diagnosis and operation of Li-ion batteries. It provides a concise yet understandable overview on models and dynamics, and it discusses future developments needed to progress the field. The diagnosis and operation of batteries require an understanding of the main processes and their dynamics, parameters, and time constants. Processes with large time constants, such as thermal transport are equally important for safe high-performance operation as are processes with shorter time constants such as diffusion. Depending on the specific problem or operating condition, taking all of the scales into account is often unavoidable. Three separate, yet closely connected model classes are reviewed in terms of physical insight and their capabilities and limits: mechanistic models, equivalent circuit models, and data-driven models. We provide guidance for the selection of a suitable model for the particular diagnosis and operation problem of interest. The optimization of battery diagnosis and operation require versatile and simple models that span multiple time scales and allow physical insight and ease of parameterization. Fusing the existing modeling approaches may help to fully exploit their potential while integrating first-principles physical insight and measurement data.
MIT Department
Massachusetts Institute of Technology. Department of Chemical Engineering
Terms of Use
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1149/2.1061814JES
