Modeling a Digital Twin to Predict Battery Deterioration with Lower Prediction Error in Smart Devices: From the Internet of Things Sensor Devices to Self-Driving Cars
In: IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society; (2022-10-17) S. 1-6
Online
Konferenz
Zugriff:
Titel: |
Modeling a Digital Twin to Predict Battery Deterioration with Lower Prediction Error in Smart Devices: From the Internet of Things Sensor Devices to Self-Driving Cars
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Autor/in / Beteiligte Person: | Bandara, Thushara R. ; Halgamuge, Malka N. |
Link: | |
Quelle: | IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society; (2022-10-17) S. 1-6 |
Veröffentlichung: | 2022 |
Medientyp: | Konferenz |
ISBN: | 978-1-6654-8025-3 (print) |
ISSN: | 2577-1647 (print) |
DOI: | 10.1109/IECON49645.2022.9968677 |
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