Framework for measurement of battery state-of-health (resistance) integrating overpotential effects and entropy changes using energy equilibrium
The internal resistance of a battery represents the losses due to heat generation during energy conversion. The state-of-health is used to quantify the increase (degradation) of resistance with usage. However, the current state-of-health analysis merges the total internal resistance into one compone...
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sg-ntu-dr.10356-1547972023-03-04T17:20:14Z Framework for measurement of battery state-of-health (resistance) integrating overpotential effects and entropy changes using energy equilibrium Singh, Karanjot Tjahjowidodo, Tegoeh Boulon, Loïc Feroskhan, Mir School of Mechanical and Aerospace Engineering Engineering::Mechanical engineering Resistance Degradation Energy Equilibrium Irreversible and Entropy Change Resistance Discharge Current Limitation The internal resistance of a battery represents the losses due to heat generation during energy conversion. The state-of-health is used to quantify the increase (degradation) of resistance with usage. However, the current state-of-health analysis merges the total internal resistance into one component. Consequently, the underlying cause of resistance degradation is not understood leading to incorrect estimate of battery health. Therefore, this paper presents a comprehensive framework based on energy equilibrium for the categorization and health analysis of total internal resistance. It is divided into 2 components: one based on irreversible overpotential (includes polarization) effects and a new second resistance component originated from reversible entropy changes. For LiFePO4 cells used in this work, it is observed that the contribution of entropy changes (hitherto unrecognized) to the overall losses increases from 4−10% to more than 40% as state-of-charge reduces. State-of-health of each component is obtained by the determination of its associated degradation factor to quantify the underlying mechanism of resistance degradation. In conclusion, the increase in irreversible resistance is primarily attributed to the permanent loss of active material. Correspondingly, the reversible resistance increase is associated to the formation of concentration gradients in the electrodes due to past load profile and ambient conditions. Maritime and Port Authority of Singapore (MPA) Accepted version The research conducted in this paper is funded jointly by ABB Pte Ltd, Singapore and Maritime and Port Authority (MPA) of Singapore. 2022-01-10T06:53:58Z 2022-01-10T06:53:58Z 2022 Journal Article Singh, K., Tjahjowidodo, T., Boulon, L. & Feroskhan, M. (2022). Framework for measurement of battery state-of-health (resistance) integrating overpotential effects and entropy changes using energy equilibrium. Energy, 239(Part A), 121942-. https://dx.doi.org/10.1016/j.energy.2021.121942 0360-5442 https://hdl.handle.net/10356/154797 10.1016/j.energy.2021.121942 Part A 239 121942 en Energy © 2021 Elsevier Ltd. All rights reserved. This paper was published in Energy and is made available with permission of Elsevier Ltd. application/pdf |
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Engineering::Mechanical engineering Resistance Degradation Energy Equilibrium Irreversible and Entropy Change Resistance Discharge Current Limitation Singh, Karanjot Tjahjowidodo, Tegoeh Boulon, Loïc Feroskhan, Mir Framework for measurement of battery state-of-health (resistance) integrating overpotential effects and entropy changes using energy equilibrium |
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The internal resistance of a battery represents the losses due to heat generation during energy conversion. The state-of-health is used to quantify the increase (degradation) of resistance with usage. However, the current state-of-health analysis merges the total internal resistance into one component. Consequently, the underlying cause of resistance degradation is not understood leading to incorrect estimate of battery health. Therefore, this paper presents a comprehensive framework based on energy equilibrium for the categorization and health analysis of total internal resistance. It is divided into 2 components: one based on irreversible overpotential (includes polarization) effects and a new second resistance component originated from reversible entropy changes. For LiFePO4 cells used in this work, it is observed that the contribution of entropy changes (hitherto unrecognized) to the overall losses increases from 4−10% to more than 40% as state-of-charge reduces. State-of-health of each component is obtained by the determination of its associated degradation factor to quantify the underlying mechanism of resistance degradation. In conclusion, the increase in irreversible resistance is primarily attributed to the permanent loss of active material. Correspondingly, the reversible resistance increase is associated to the formation of concentration gradients in the electrodes due to past load profile and ambient conditions. |
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School of Mechanical and Aerospace Engineering |
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School of Mechanical and Aerospace Engineering Singh, Karanjot Tjahjowidodo, Tegoeh Boulon, Loïc Feroskhan, Mir |
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Article |
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Singh, Karanjot Tjahjowidodo, Tegoeh Boulon, Loïc Feroskhan, Mir |
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Singh, Karanjot |
title |
Framework for measurement of battery state-of-health (resistance) integrating overpotential effects and entropy changes using energy equilibrium |
title_short |
Framework for measurement of battery state-of-health (resistance) integrating overpotential effects and entropy changes using energy equilibrium |
title_full |
Framework for measurement of battery state-of-health (resistance) integrating overpotential effects and entropy changes using energy equilibrium |
title_fullStr |
Framework for measurement of battery state-of-health (resistance) integrating overpotential effects and entropy changes using energy equilibrium |
title_full_unstemmed |
Framework for measurement of battery state-of-health (resistance) integrating overpotential effects and entropy changes using energy equilibrium |
title_sort |
framework for measurement of battery state-of-health (resistance) integrating overpotential effects and entropy changes using energy equilibrium |
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2022 |
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https://hdl.handle.net/10356/154797 |
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1759856509204824064 |