A Data-Driven Fleet Service: State of Health Forecasting of Lithium-Ion Batteries

by Friedrich von Bülow | Springer Vieweg | eText ISBN 9783658431884
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...

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About this book

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.

Book details

  • Author: Friedrich von Bülow
  • Publisher: Springer Vieweg
  • eText ISBN: 9783658431884
  • Print ISBN: 9783658431877
  • Format: Reflowable Layout
  • Language: en
  • Copyright: 2024