DocumentCode :
2552039
Title :
Optimization of suspension design based on evolution algorithm for a novel E-bike
Author :
Lin, Chih-Jer ; Lin, Po-Ting ; Yu, Shen-Kai ; Hu, I-Lu
Author_Institution :
Grad. Inst. of Autom. Technol., Nat. Taipei Univ. of Technol., Taipei, Taiwan
fYear :
2011
fDate :
21-25 June 2011
Firstpage :
651
Lastpage :
656
Abstract :
The objective of this study is to develop a novel design of electric bike. The authors used some engineering approach packages in this study to analyze kinetic and dynamics of the system. The newly developed suspension design of the E-bike will also be incorporated using ADAMS and BikeSim simulation into the design consideration of suspension. To improve the ride comfort and driving safety of the E-bike, an optimization problem is formulated based on the comfort and safety cost function. To obtain the optimal performance for the proposed suspension, evolution algorithms (EAs) are studied to obtain the optimal suspension parameters.
Keywords :
electric vehicles; evolutionary computation; optimisation; road safety; suspensions (mechanical components); ADAMS; BikeSim simulation; driving safety; electric bike; evolution algorithm; optimal suspension parameters; ride comfort; safety cost function; suspension design optimization; Damping; Roads; Safety; Shock absorbers; Vibrations; Wheels; Adams; evolution algorithm; suspension design;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation (WCICA), 2011 9th World Congress on
Conference_Location :
Taipei
Print_ISBN :
978-1-61284-698-9
Type :
conf
DOI :
10.1109/WCICA.2011.5970594
Filename :
5970594
Link To Document :
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