To answer the research questions considering the current limitations of state of heath (SOH) forecasting methods, background from two fields is required: Given the importance of lithium-ion batteries (LIBs) as power source of battery electric vehicles (BEVs), first domain knowledge on LIB cells, their aging, and their composition to battery modules and battery packs is provided. Second, relevant basics of supervised machine learning (ML) models for regression are presented.
Theoretical Background
AutoUni – Schriftenreihe
A Data-Driven Fleet Service: State of Health Forecasting of Lithium-Ion Batteries ; Kapitel : 2 ; 9-44
AutoUni – Schriftenreihe ; 170
2024-02-02
36 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
AIAA | 2009
|Springer Verlag | 2020
|Springer Verlag | 2022
|Springer Verlag | 2016
|Outline of Theoretical Background
SAE Technical Papers | 1961
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