<div class="csl-bib-body">
<div class="csl-entry">de Oliveira, J. G., Dhingra, V., & Hametner, C. (2021). Feature Extraction, Ageing Modelling and Information Analysis of a Large-Scale Battery Ageing Experiment. <i>Energies</i>, <i>14</i>(17), 5295. https://doi.org/10.3390/en14175295</div>
</div>
-
dc.identifier.issn
1996-1073
-
dc.identifier.uri
http://hdl.handle.net/20.500.12708/138297
-
dc.description.abstract
Large scale testing of newly developed Li-ion cells is associated with high costs for the interested parties, and ideally, testing time should be kept to a minimum. In this work, an ageing model was developed and trained with real data from a large-scale testing experiment in order to answer how much testing time and data would have been really needed to achieve similar model generalisation performance on previously unseen data. A linear regression model was used, and the feature engineering, extraction and selection steps are shown herein, alongside accurate prediction results for the majority of the accelerated ageing experiments. Information analysis was performed to achieve the desired data reduction, obtaining similar model properties with a fifth of the number of cells and half of the testing time. The proposed ageing model uses features commonly found in the literature, and the structure is simple enough for the training to be performed online in an EV. It has good generalisation capabilities. Lastly, the data reduction approach used here is model-independent, allowing a similar methodology to be used with different modelling assumptions.
en
dc.language.iso
en
-
dc.publisher
MDPI
-
dc.relation.ispartof
Energies
-
dc.subject
Electrical and Electronic Engineering
-
dc.subject
Control and Optimization
-
dc.subject
Renewable Energy, Sustainability and the Environment
-
dc.subject
Energy Engineering and Power Technology
-
dc.subject
Energy (miscellaneous)
-
dc.subject
Engineering (miscellaneous)
-
dc.subject
battery ageing
-
dc.subject
battery modelling
-
dc.subject
capacity fade estimation
-
dc.subject
feature engineering
-
dc.title
Feature Extraction, Ageing Modelling and Information Analysis of a Large-Scale Battery Ageing Experiment
en
dc.type
Artikel
de
dc.type
Article
en
dc.description.startpage
5295
-
dc.type.category
Original Research Article
-
tuw.container.volume
14
-
tuw.container.issue
17
-
tuw.journal.peerreviewed
true
-
tuw.peerreviewed
true
-
tuw.researchTopic.id
E3
-
tuw.researchTopic.name
Climate Neutral, Renewable and Conventional Energy Supply Systems