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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. Forecasting the SOH enables fleet managers of battery electric vehicle fleets to forecast and plan vehicle replacements.
Friedrich von Bülow studied mechanical engineering and automation engineering at RWTH Aachen University. He completed his doctoral thesis at the Institute for Technologies and Management of Digital Transformation (TMDT) at the University of Wuppertal (BUW) while working in the automotive industry as a data scientist with a special interest in the analysis of time series data and applications of machine learning.
Towards State of Health Forecasting of Lithium-Ion Batteries.- Structure Literature Survey of Related Work.- Battery Cell State of Health Forecasting.- Transfer of Battery Cell State of Health Forecasting.- Battery System State of Health Forecasting.- Concept for a Technical Implementation.