A Thermodynamic Model for Lithium-Ion Battery Degradation: Application of the Degradation-Entropy Generation Theorem

Presented is a lithium-ion battery degradation model, based on irreversible thermodynamics, which was experimentally verified, using commonly measured operational parameters. The methodology, applicable to all lithium-ion batteries of all chemistries and composition, combined fundamental thermodynam...

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Main Authors: Jude A. Osara, Michael D. Bryant
Format: Article
Language:English
Published: MDPI AG 2019-04-01
Series:Inventions
Subjects:
Online Access:https://www.mdpi.com/2411-5134/4/2/23
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spelling doaj-f3bea958fc5e42228375f1b05d16a5c22020-11-24T20:41:56ZengMDPI AGInventions2411-51342019-04-01422310.3390/inventions4020023inventions4020023A Thermodynamic Model for Lithium-Ion Battery Degradation: Application of the Degradation-Entropy Generation TheoremJude A. Osara0Michael D. Bryant1Mechanical Engineering Department, University of Texas at Austin, Austin, TX 78712, USAMechanical Engineering Department, University of Texas at Austin, Austin, TX 78712, USAPresented is a lithium-ion battery degradation model, based on irreversible thermodynamics, which was experimentally verified, using commonly measured operational parameters. The methodology, applicable to all lithium-ion batteries of all chemistries and composition, combined fundamental thermodynamic principles, with the Degradation–Entropy Generation theorem, to relate instantaneous capacity fade (loss of useful charge-holding capacity) in the lithium-ion battery, to the irreversible entropy generated via the underlying dissipative physical processes responsible for battery degradation. Equations relating capacity fade—aging—to battery cycling were also formulated and verified. To show the robustness of the approach, nonlinear data from abusive and inconsistent battery cycling was measured and used to verify formulations. A near 100% agreement between the thermodynamic battery model and measurements was achieved. The model also gave rise to new material and design parameters to characterize all lithium-ion batteries.https://www.mdpi.com/2411-5134/4/2/23lithium-ion batterybattery agingdegradation analysisentropy generationcapacity fadevoltage temperaturethermodynamics
collection DOAJ
language English
format Article
sources DOAJ
author Jude A. Osara
Michael D. Bryant
spellingShingle Jude A. Osara
Michael D. Bryant
A Thermodynamic Model for Lithium-Ion Battery Degradation: Application of the Degradation-Entropy Generation Theorem
Inventions
lithium-ion battery
battery aging
degradation analysis
entropy generation
capacity fade
voltage temperature
thermodynamics
author_facet Jude A. Osara
Michael D. Bryant
author_sort Jude A. Osara
title A Thermodynamic Model for Lithium-Ion Battery Degradation: Application of the Degradation-Entropy Generation Theorem
title_short A Thermodynamic Model for Lithium-Ion Battery Degradation: Application of the Degradation-Entropy Generation Theorem
title_full A Thermodynamic Model for Lithium-Ion Battery Degradation: Application of the Degradation-Entropy Generation Theorem
title_fullStr A Thermodynamic Model for Lithium-Ion Battery Degradation: Application of the Degradation-Entropy Generation Theorem
title_full_unstemmed A Thermodynamic Model for Lithium-Ion Battery Degradation: Application of the Degradation-Entropy Generation Theorem
title_sort thermodynamic model for lithium-ion battery degradation: application of the degradation-entropy generation theorem
publisher MDPI AG
series Inventions
issn 2411-5134
publishDate 2019-04-01
description Presented is a lithium-ion battery degradation model, based on irreversible thermodynamics, which was experimentally verified, using commonly measured operational parameters. The methodology, applicable to all lithium-ion batteries of all chemistries and composition, combined fundamental thermodynamic principles, with the Degradation–Entropy Generation theorem, to relate instantaneous capacity fade (loss of useful charge-holding capacity) in the lithium-ion battery, to the irreversible entropy generated via the underlying dissipative physical processes responsible for battery degradation. Equations relating capacity fade—aging—to battery cycling were also formulated and verified. To show the robustness of the approach, nonlinear data from abusive and inconsistent battery cycling was measured and used to verify formulations. A near 100% agreement between the thermodynamic battery model and measurements was achieved. The model also gave rise to new material and design parameters to characterize all lithium-ion batteries.
topic lithium-ion battery
battery aging
degradation analysis
entropy generation
capacity fade
voltage temperature
thermodynamics
url https://www.mdpi.com/2411-5134/4/2/23
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