| Management number | 233423658 | Release Date | 2026/06/27 | List Price | US$37.58 | Model Number | 233423658 | ||
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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. Read more
| ASIN | B0CL332Y66 |
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| XRay | Not Enabled |
| ISBN13 | 978-3658431884 |
| Language | English |
| File size | 20.0 MB |
| Page Flip | Enabled |
| Publisher | Springer Vieweg |
| Word Wise | Not Enabled |
| Print length | 369 pages |
| Accessibility | Learn more |
| Screen Reader | Supported |
| Publication date | February 1, 2024 |
| Enhanced typesetting | Enabled |
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