Advanced Modelling Frameworks for the Digital Twin of an Autonomous Electric Vehicle Propulsion Drive System = Autonoomse elektrisõiduki veoelektriajami digitaalse kaksiku täiustatud modelleerimise raamistikud
supervisor
statement of authorship
Mahmoud Ibrahim Hassanin Mohamed ; [supervisor: Anton Rassõlkin ; Tallinn University of Technology, School of Engineering, Department of Electrical Power Engineering and Mechatronics]
type of dissertation
doktoritöö
university/scientific institution
Tallinna Tehnikaülikool
location of publication
Tallinn
publisher
year of publication
pages
166 p. : ill
series
Tallinn University of Technology. Doctoral thesis = Tallinna Tehnikaülikool. Doktoritöö ; 31/2025
subject term
subject of form
TalTech subject term
ISSN
2585-6898
2585-6901 (PDF)
ISBN
978-9916-80-293-9
978-9916-80-294-6 (PDF)
notes
Autori publikatsioonide nimekiri leheküljel 7
Bibliogr. lk. 72-77
Kokkuvõte eesti keeles
Kättesaadav ka võrguteavikuna
Autori CV inglise ja eesti keeles, lk. 165-166
Thesis (Ph.D.) : Tallinn University of Technology, 2025
url
Open Access
Open Access
scientific publication
teaduspublikatsioon
classifier
TalTech department
language
inglise
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- An EV-traction inverter data-driven modelling for digital twin development
- Conceptual modelling of an EV-permanent magnet synchronous motor digital twin
- Reverse engineering-based modeling of an EV motor drive for digital twin development
- Digital shadow of an electric vehicle-permanent magnet synchronous motor drive for real-time performance monitoring
Mohamed, M.I.H. Advanced Modelling Frameworks for the Digital Twin of an Autonomous Electric Vehicle Propulsion Drive System = Autonoomse elektrisõiduki veoelektriajami digitaalse kaksiku täiustatud modelleerimise raamistikud. Tallinn : TalTech Press, 2025. 166 p. : ill. (Tallinn University of Technology. Doctoral thesis = Tallinna Tehnikaülikool. Doktoritöö ; 31/2025).