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  4. Predictive energy-efficient motion trajectory optimization of electric vehicles
 
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2019
Doctoral Thesis
Titel

Predictive energy-efficient motion trajectory optimization of electric vehicles

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.
ThesisNote
Zugl.: Karlsruhe, Inst. fĂĽr Technologie (KIT), Diss., 2019
Author(s)
Guan, Tianyi
Verlag
KIT Scientific Publishing
Verlagsort
Karlsruhe
DOI
10.5445/KSP/1000098619
File(s)
N-585489.pdf (34.79 MB)
Language
English
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Fraunhofer-Institut fĂĽr Optronik, Systemtechnik und Bildauswertung IOSB
Tags
  • Modellprädiktive Opti...

  • Trajektorienplanung

  • autonomes Fahren

  • energieeffizientes Fa...

  • dynamische Programmie...

  • model predictive opti...

  • trajectory planning

  • autonomous driving

  • energy-efficient driv...

  • dynamic programming

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