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An easy-to-parameterise physics-informed battery model and its application towards lithium-ion battery cell design, diagnosis, and degradation

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Title: An easy-to-parameterise physics-informed battery model and its application towards lithium-ion battery cell design, diagnosis, and degradation
Authors: Merla, Y
Wu, B
Yufit, V
Martinez-Botas, RF
Offer, GJ
Item Type: Journal Article
Abstract: Accurate diagnosis of lithium ion battery state-of-health (SOH) is of significant value for many applications, to improve performance, extend life and increase safety. However, in-situ or in-operando diagnosis of SOH often requires robust models. There are many models available however these often require expensive-to-measure ex-situ parameters and/or contain unmeasurable parameters that were fitted/assumed. In this work, we have developed a new empirically parameterised physics-informed equivalent circuit model. Its modular construction and low-cost parametrisation requirements allow end users to parameterise cells quickly and easily. The model is accurate to 19.6 mV for dynamic loads without any global fitting/optimisation, only that of the individual elements. The consequences of various degradation mechanisms are simulated, and the impact of a degraded cell on pack performance is explored, validated by comparison with experiment. Results show that an aged cell in a parallel pack does not have a noticeable effect on the available capacity of other cells in the pack. The model shows that cells perform better when electrodes are more porous towards the separator and have a uniform particle size distribution, validated by comparison with published data. The model is provided with this publication for readers to use.
Issue Date: 23-Mar-2018
Date of Acceptance: 21-Feb-2018
URI: http://hdl.handle.net/10044/1/58077
DOI: https://dx.doi.org/10.1016/j.jpowsour.2018.02.065
ISSN: 0378-7753
Publisher: Elsevier
Start Page: 66
End Page: 79
Journal / Book Title: Journal of Power Sources
Volume: 384
Copyright Statement: © 2018 Elsevier B.V. All rights reserved. This manuscript is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License http://creativecommons.org/licenses/by-nc-nd/4.0/
Sponsor/Funder: Engineering & Physical Science Research Council (EPSRC)
Engineering & Physical Science Research Council (E
Funder's Grant Number: EP/K002252/1
J15119 - PO:500174140
Keywords: 09 Engineering
03 Chemical Sciences
Energy
Publication Status: Published
Appears in Collections:Faculty of Engineering
Mechanical Engineering
Dyson School of Design Engineering



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