Eintrag in der Universitätsbibliographie der TU Chemnitz
Neifar, Dhia* ; Kallel, Ahmed Yahia ; Chaabane, Ferdaous ; Kanoun, Olfa
State-of-charge Estimation of Li-ion Battery Cells based on Distribution of Relaxation Times and Gaussian Mixture Model
| Universität: | Technische Universität Chemnitz | |
| Förderung: | 10.13039/100007347-SPIE | |
| Institut: | Professur Mess- und Sensortechnik | |
| Dokumentart: | Konferenzbeitrag, referiert | |
| ISBN/ISSN: | Electronic ISBN: 979-8-3503-5895-7 ; Print on Demand(PoD) ISBN: 979-8-3503-5896-4 | |
| DOI: | doi:10.1109/iwis61214.2023.10302795 | |
| Quelle: | 2023 International Workshop on Impedance Spectroscopy (IWIS), 26-29 September 2023, Chemnitz, Germany, pp. 142-147. - IEEE, 2023 | |
| Freie Schlagwörter (Englisch): | Lithium-ion batteries , Support vector machines , Spectroscopy , Fitting , Feature extraction , Machine Learning , Li-ion battery cells , Distribution of Relaxation Times , Gaussian Mixture Model |
