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Given the limitations of state-of-the-art methods, this book presents a state of health (SOH) forecasting method that is suitable for lithium-ion battery (LIB) systems in real-world battery electric vehicle operation. Its histogram-based features can capture the higher operational variability compared to constant and controlled laboratory operation. Also, the transferability of a trained machine learning model to new LIB cell types and new operational domains is investigated. The presented SOH forecasting method can be provided as a cloud service via a web or smartphone app to fleet managers. Forecasting the SOH enables fleet managers of battery electric vehicle fleets to forecast and plan vehicle replacements.
Produkteigenschaften
- Artikelnummer: 9783658431877
- Medium: Buch
- ISBN: 978-3-658-43187-7
- Verlag: Springer
- Erscheinungstermin: 02.02.2024
- Sprache(n): Englisch
- Auflage: 1. Auflage 2024
- Serie: AutoUni – Schriftenreihe
- Produktform: Kartoniert, Paperback
- Gewicht: 341 g
- Seiten: 227
- Format (B x H x T): 148 x 210 x 15 mm
- Ausgabetyp: Kein, Unbekannt