Strategy Optimization of a Solar Car for a Long-distance Race using Big Bang - Big Crunch Optimization


YESİL E., ONOL A. O. , ICKE A., Atabay O.

14th IEEE International Symposium on Computational Intelligence and Informatics (CINTI), Budapest, Hungary, 19 - 21 November 2013, pp.521-526 identifier

  • Publication Type: Conference Paper / Full Text
  • City: Budapest
  • Country: Hungary
  • Page Numbers: pp.521-526

Abstract

In this paper, a new optimization approach based on Big Bang - Big Crunch optimization method to be employed in World Solar Challenge 2013 by Istanbul Technical University Solar Car Team is proposed. As much as the significance of renewable energy resources themselves, it is also important to optimally utilize them in an efficient way. World Solar Challenge is a biennially organized, 3021 km long race which serves a competitive ground for solar car teams from all over the world. Firstly, the solar car model which is subject to optimization is studied, and then the Big Bang - Big Crunch optimization method is developed for the proposed problem. After various simulation studies the optimal speed references are computed for predefined segments along the route. The obtained results are realistic and practical for World Solar Challenge.