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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.
| Autorius: | Friedrich von Bülow |
| Serija: | AutoUni ¿ Schriftenreihe |
| Leidėjas: | Springer Fachmedien Wiesbaden |
| Išleidimo metai: | 2024 |
| Knygos puslapių skaičius: | 260 |
| ISBN-10: | 3658431873 |
| ISBN-13: | 9783658431877 |
| Formatas: | 210 x 148 x 15 mm. Knyga minkštu viršeliu |
| Kalba: | Anglų |
Parašykite atsiliepimą apie „A Data-Driven Fleet Service: State of Health Forecasting of Lithium-Ion Batteries“
