Record link: 
http://hdl.handle.net/20.500.12708/78688
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Title: 
Continuous-time system identification of battery models for aging data analysis and state of health estimation
en
Citation: 
Kneißl, M. (2018). Continuous-time system identification of battery models for aging data analysis and state of health estimation [Diploma Thesis, Technische Universität Wien]. reposiTUm. http://hdl.handle.net/20.500.12708/78688
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CatalogPlus: 
AC15192830
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Publication Type: 
Thesis - Diplomarbeit
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Language: 
English
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Authors: 
Kneißl, Markus 
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Advisor: 
Hametner, Christoph 
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Organisational Unit: 
E325 - Institut für Mechanik und Mechatronik 
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Date (published): 
2018
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Number of Pages: 
59
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Keywords: 
Traktionsbatterie; Lithium-Ionen Zellen; Alterung; Identifikation
de
 
traction battery; lithium-ion battery; aging; system identification
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Appears in Collections:
Thesis

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