Title :
Strategy optimization of a solar car for a long-distance race using Big Bang — Big Crunch optimization
Author :
Yesil, Engin ; Onol, Aykut Ozgun ; Icke, Arif ; Atabay, Orhan
Author_Institution :
Control & Autom. Eng. Dept., Istanbul Tech. Univ., Istanbul, Turkey
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.
Keywords :
automobiles; optimisation; renewable energy sources; solar powered vehicles; Istanbul Technical University Solar Car Team; World Solar Challenge 2013; big bang-big crunch optimization; long-distance race; optimal speed references; renewable energy resources; solar car teams; strategy optimization; Aerodynamics; Batteries; Load modeling; Mathematical model; Meteorology; Optimization; Vehicles; Big Bang — Big Crunch; Solar car; World Solar Challenge; optimization; race strategy;
Conference_Titel :
Computational Intelligence and Informatics (CINTI), 2013 IEEE 14th International Symposium on
Conference_Location :
Budapest
Print_ISBN :
978-1-4799-0194-4
DOI :
10.1109/CINTI.2013.6705253