A Data-Driven Fleet Service: State of Health Forecasting of Lithium-Ion Batteries |
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| Author:
| von Bülow, Friedrich |
| Series title: | AutoUni - Schriftenreihe Ser. |
| ISBN: | 978-3-658-43187-7 |
| Publication Date: | Feb 2024 |
| Publisher: | Springer Fachmedien Wiesbaden GmbH
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| Book Format: | Paperback |
| List Price: | USD $119.99 |
Book Description:
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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...
More Description
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.