Title :
Ratio Optimization of Hydraulic Energy-saving Vehicle Coupler Based on Genetic Algorithm
Author :
Liu, Xinhui ; Zhao, Jinxiang ; Sun, Hui
Author_Institution :
Inst. of Mech. Sci. & Eng., JiLin Univ., Changchun
Abstract :
Genetic algorithm is employed to optimize of the ratio of coupler of hydraulic energy-saving vehicle in this paper. The optimization model is presented. The simulation results show the effectiveness of this algorithm in finding the optimal ratio of hydraulic vehicle coupler, which is helpful to improve the fuel economy by enhancing the efficiency of energy recovery device and secondary element.
Keywords :
couplings; genetic algorithms; hydraulic systems; road vehicles; energy recovery device; fuel economy; genetic algorithm; hydraulic energy-saving vehicle coupler; ratio optimization; secondary element; Acceleration; Automotive engineering; Concrete; Engines; Genetic engineering; Mathematical model; Power engineering and energy; Reservoirs; Vehicle driving; Vehicle dynamics; coupler; genetic algorithm; hydraulic energy-saving vehicle; ratio optimization; recovery;
Conference_Titel :
Computer and Automation Engineering, 2009. ICCAE '09. International Conference on
Conference_Location :
Bangkok
Print_ISBN :
978-0-7695-3569-2
DOI :
10.1109/ICCAE.2009.46
