Predicting state of health and remaining useful lifetime of lithium-ion batteries for eVTOLs using data-driven machine learning
Master Thesis
(2022)
Author(s)
B.L. Hennink (TU Delft - Aerospace Engineering)
Contributor(s)
Marilena Pavel – Mentor (TU Delft - Control & Simulation)
M. Mitici – Mentor (TU Delft - Air Transport & Operations)
J. Dong – Graduation committee member (TU Delft - DC systems, Energy conversion & Storage)
Faculty
Aerospace Engineering
Copyright
© 2022 Birgitte Hennink
To reference this document use:
https://resolver.tudelft.nl/uuid:4216b379-b6da-42a9-9369-b228ac1f0a2c
More Info
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Publication Year
2022
Language
English
Copyright
© 2022 Birgitte Hennink
Graduation Date
10-06-2022
Awarding Institution
Delft University of Technology
Programme
['Aerospace Engineering | Air Transport and Operations']
Faculty
Aerospace Engineering
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