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Authors:
Pohlmann, Sebastian; Mashayekh, Ali; Karnehm, Dominic; Kuder, Manuel; Neve, Antje; Weyh, Thomas
Document type:
Konferenzbeitrag / Conference Paper
Title:
Lithium Ion Batteries Impedance Approximation and Model Parameterization Using Artificial Neural Networks
Title of conference publication:
2024 IEEE International Conference on Industrial Technology (ICIT)
Conference title:
IEEE International Conference on Industrial Technology (2024, Bristol)
Venue:
Bristol, United Kingdom
Year of conference:
2024
Date of conference beginning:
25.03.2024
Date of conference ending:
27.03.2024
Place of publication:
Piscataway, NJ
Publisher:
IEEE
Year:
2024
Pages from - to:
1-6
Language:
Englisch
Keywords:
Temperature measurement ; Training ; Visualization ; Time-frequency analysis ; Training data ; Artificial neural networks ; Predictive models ; lithium-ion battery ; EIS ; machine learning
ISBN:
979-8-3503-4026-6 ; 979-8-3503-4027-3
DOI:
10.1109/ICIT58233.2024.10540962
Department:
Fakultät für Elektrotechnik und Technische Informatik
Institute:
ETTI 2 - Institut für Verteilte Intelligente Systeme
Chair:
Neve, Antje
Open Access yes or no?:
Nein / No
 BibTeX