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A Data-Driven Fleet Service: State of Health Forecasting of Lithium-Ion Batteries (AutoUni - Schriftenreihe) by Friedrich von Bülow
English | February 2, 2024 | ISBN: 3658431873 | 260 pages | MOBI | 15 Mb
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.

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