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

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.
Thesis Note
Zugl.: Karlsruhe, Inst. für Technologie (KIT), Diss., 2019
Author(s)
Guan, Tianyi
Publisher
KIT Scientific Publishing  
Publishing Place
Karlsruhe
Open Access
File(s)
Download (34.79 MB)
Rights
CC BY-SA 4.0: Creative Commons Attribution-ShareAlike
DOI
10.24406/publica-r-283073
10.5445/KSP/1000098619
Language
English
Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung IOSB  
Keyword(s)
  • Modellprädiktive Optimierung

  • Trajektorienplanung

  • autonomes Fahren

  • energieeffizientes Fahren

  • dynamische Programmierung

  • model predictive optimization

  • trajectory planning

  • autonomous driving

  • energy-efficient driving

  • dynamic programming

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