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  4. Next generation drivetrain concept featuring self-learning capabilities enabled by extended information technology functionalities
 
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2016
Conference Paper
Title

Next generation drivetrain concept featuring self-learning capabilities enabled by extended information technology functionalities

Abstract
With the introduction of electrified drive-trains and autonomous driving features, the requirements for electronic systems in vehicles have rapidly become more and more demanding. In order to face these complex requirement scenarios, a paradigm shift from closed-loop-controlled to truly self-deciding and self-learning automata is strongly needed. In this paper, a novel concept for drive-train platforms enabling self-learning capabilities based on sensor integration, micro and power electronics and secure cloud communication directly integrated into the electric motor will be introduced.
Author(s)
Otto, Alexander  
Rzepka, Sven  
Mainwork
Advanced Microsystems for Automotive Applications 2016  
Conference
International Forum on Advanced Microsystems for Automotive Applications (AMAA) 2016  
DOI
10.1007/978-3-319-44766-7_18
Language
English
Fraunhofer-Institut für Elektronische Nanosysteme ENAS  
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