Solar car optimization for the world solar challenge

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

11 Scopus citations

Abstract

This paper presents the details of an optimization method for the solar car's speed and battery management. The optimization method is demonstrated for the World Solar Challenge along a 3000km from Darwin to Adelaide, Australia. The optimization can be performed at any time during the race based on the current location, time, and battery status. The method predicts the required car speeds between the road land marks, taking into consideration the mandatory stops. The optimization includes the terrain inclination, the car rolling resistance and aerodynamic resistance, and predicts available solar energy as function of position and time.

Original languageEnglish
Title of host publication13th International Multi-Conference on Systems, Signals and Devices, SSD 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages751-756
Number of pages6
ISBN (Electronic)9781509012916
DOIs
StatePublished - 18 May 2016

Publication series

Name13th International Multi-Conference on Systems, Signals and Devices, SSD 2016

Bibliographical note

Publisher Copyright:
© 2016 IEEE.

Keywords

  • Battery management
  • Dynamic model
  • Optimization
  • Solar car
  • Solar energy
  • World solar challenge

ASJC Scopus subject areas

  • Signal Processing
  • Control and Systems Engineering
  • Energy Engineering and Power Technology
  • Control and Optimization
  • Computer Networks and Communications
  • Instrumentation

Fingerprint

Dive into the research topics of 'Solar car optimization for the world solar challenge'. Together they form a unique fingerprint.

Cite this