<div class="csl-bib-body">
<div class="csl-entry">Kneißl, M. (2018). <i>Continuous-time system identification of battery models for aging data analysis and state of health estimation</i> [Diploma Thesis, Technische Universität Wien]. reposiTUm. http://hdl.handle.net/20.500.12708/78688</div>
</div>
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/78688
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dc.format
iv, 59 Blätter
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dc.language
English
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dc.language.iso
en
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dc.subject
Traktionsbatterie
de
dc.subject
Lithium-Ionen Zellen
de
dc.subject
Alterung
de
dc.subject
Identifikation
de
dc.subject
traction battery
en
dc.subject
lithium-ion battery
en
dc.subject
aging
en
dc.subject
system identification
en
dc.title
Continuous-time system identification of battery models for aging data analysis and state of health estimation
