Development methodology for creating the digital twin for propulsion drive of an electric vehicle = Elektrisõiduki veoajami digitaalse kaksiku arendusmetoodika
author
supervisor
statement of authorship
Viktor Rjabtšikov ; [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
133 p. : ill
series
Tallinn University of Technology. Doctoral thesis = Tallinna Tehnikaülikool. Doktoritöö ; 29/2024
subject of form
ISSN
2585-6898
2585-6901 (PDF)
ISBN
978-9916-80-155-0 (PDF)
978-9916-80-154-3
notes
Autori publikatsioonide nimekiri leheküljel 7
Bibliogr. lk. 54-56
Kokkuvõte eesti keeles
Kättesaadav ka võrguteavikuna
Autori CV inglise ja eesti keeles, lk. 132-133
Thesis (Ph.D.) : Tallinn University of Technology, 2024
url
scientific publication
teaduspublikatsioon
classifier
TTÜ department
language
inglise
- Concept of the test Bench for electrical vehicle propulsion drive data acquisition
- Digital twin of an electrical motor based on empirical performance model
- ROS middle-layer integration to Unity 3D as an interface option for propulsion drive simulations of autonomous vehicles
- Parametric digital twin of autonomous electric vehicle transmission
- EV-powertrain test bench for digital twin development
- Digital twin service unit development for an EV induction motor fault detection
- Review of electric vehicle testing procedures for digital twin development : a comprehensive analysis
Rjabtšikov, V. Development methodology for creating the digital twin for propulsion drive of an electric vehicle = Elektrisõiduki veoajami digitaalse kaksiku arendusmetoodika. Tallinn : TalTech Press, 2024. 133 p. : ill. (Tallinn University of Technology. Doctoral thesis = Tallinna Tehnikaülikool. Doktoritöö ; 29/2024). https://www.ester.ee/record=b5685462*est https://digikogu.taltech.ee/et/Item/6cbd2dba-76a5-4931-a9f3-53b9d4d87c1e https://doi.org/10.23658/taltech.29/2024