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An efficient and independent modeling method for lithium-ion battery degradation

An efficient and independent modeling method for lithium-ion battery degradation Degradation in the lithium-ion battery performance is an inevitable phenomenon during the service life. Therefore, the state of health (SOH) of the battery is an important indicator of the battery management system (BMS) in electric vehicles (EVs). The existing estimation techniques to predict the losses due to degradation and SOH of the battery are limited by the situation of being incomplete or computationally expensive. This work develops an efficient and independent modeling method for SOH estimation and degradation analysis, in which a simple parameter fitting can be used to represent the discharge profile that can be represented with an accuracy of > 99.9%, using simple parameter fitting. The homogeneity of the active lithium distribution, the discharge capacity and the evolution of internal resistance have been well demonstrated by the model parameters. In addition, through simple calculation, the loss of active materials and the state of electrode balance are accurately represented by the derivate parameters. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Ionics Springer Journals

An efficient and independent modeling method for lithium-ion battery degradation

An efficient and independent modeling method for lithium-ion battery degradation

Degradation in the lithium-ion battery performance is an inevitable phenomenon during the service life. Therefore, the state of health (SOH) of the battery is an important indicator of the battery management system (BMS) in electric vehicles (EVs). The existing estimation techniques to predict the losses due to degradation and SOH of the battery are limited by the situation of being incomplete or computationally expensive. This work develops an efficient and independent modeling method for SOH estimation and degradation analysis, in which a simple parameter fitting can be used to represent the dis- charge profile that can be represented with an accuracy of > 99.9%, using simple parameter fitting. The homogeneity of the active lithium distribution, the discharge capacity and the evolution of internal resistance have been well demonstrated by the model parameters. In addition, through simple calculation, the loss of active materials and the state of electrode balance are accurately represented by the derivate parameters. Keywords Lithium-ion battery · State of health · Degradation · Modeling Introduction the coupled mechanisms of both mechanical and chemical side reactions, the performance of battery will continuously Nowadays, with the widespread application of lithium-ion degrade due to the coupled mechanisms, both mechanical batteries in electric vehicles (EVs), studying their charac- and chemical side reactions. For instance, the carbonaceous teristics has become the focus of attention [1, 2]. However, materials have a significant volume change during the charg- one of the key challenges is that as the batteries age, their ing and discharging process, which may cause the SEI film properties will inevitably decrease, resulting in unsatisfac- cracking. Subsequently, the electrolyte will be re-consumed tory cruising range of EVs [3–5]. on the exposed surface of lithiated graphite, resulting in For lithium-ion batteries,...
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References (47)

Publisher
Springer Journals
Copyright
Copyright © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2021
ISSN
0947-7047
eISSN
1862-0760
DOI
10.1007/s11581-021-04305-5
Publisher site
See Article on Publisher Site

Abstract

Degradation in the lithium-ion battery performance is an inevitable phenomenon during the service life. Therefore, the state of health (SOH) of the battery is an important indicator of the battery management system (BMS) in electric vehicles (EVs). The existing estimation techniques to predict the losses due to degradation and SOH of the battery are limited by the situation of being incomplete or computationally expensive. This work develops an efficient and independent modeling method for SOH estimation and degradation analysis, in which a simple parameter fitting can be used to represent the discharge profile that can be represented with an accuracy of > 99.9%, using simple parameter fitting. The homogeneity of the active lithium distribution, the discharge capacity and the evolution of internal resistance have been well demonstrated by the model parameters. In addition, through simple calculation, the loss of active materials and the state of electrode balance are accurately represented by the derivate parameters.

Journal

IonicsSpringer Journals

Published: Jan 1, 2022

Keywords: Lithium-ion battery; State of health; Degradation; Modeling

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