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Predictive energy-efficient motion trajectory optimization of electric vehicles

 
: Guan, Tianyi

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Volltext urn:nbn:de:0011-n-5854891 (34 MByte PDF)
MD5 Fingerprint: ddc4f23342b41716cfbeafcfb57a5b4b
(CC) by-sa
Erstellt am: 24.7.2020

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Karlsruhe: KIT Scientific Publishing, 2019, XXIII, 281 S.
Zugl.: Karlsruhe, Inst. für Technologie (KIT), Diss., 2019
Karlsruher Schriften zur Anthropomatik, 42
ISBN: 978-3-7315-0978-3
Englisch
Dissertation, Elektronische Publikation
Fraunhofer IOSB ()
Modellprädiktive Optimierung; Trajektorienplanung; autonomes Fahren; energieeffizientes Fahren; dynamische Programmierung; model predictive optimization; trajectory planning; autonomous driving; energy-efficient driving; dynamic programming

Abstract
This work uses a combination of existing and novel methods to optimize the motion trajectory of an electric vehicle in order to improve the energy efficiency and other criteria for a predefined route. The optimization uses a single combined cost function incorporating energy efficiency, travel safety, physical feasibility, and other criteria. Another focus is the optimal behavior beyond the regular optimization horizon.

: http://publica.fraunhofer.de/dokumente/N-585489.html