DocumentCode :
233513
Title :
The research on vehicle driving pattern characteristic parameters search algorithm based on parallel computing
Author :
Song Wen ; Zhang Xin ; Tian Yi ; Zhang Xinn ; Song Jianfeng
Author_Institution :
Sch. of Mech. Electr. & Control Eng., Beijing Jiaotong Univ., Beijing, China
fYear :
2014
fDate :
28-30 July 2014
Firstpage :
147
Lastpage :
150
Abstract :
There is close relationship between the driving pattern and the energy saving of hybrid electric vehicle. In order to improve the vehicle driving pattern recognition model and the intelligent control strategy of hybrid electric vehicle, a vehicle driving pattern characteristic parameters search algorithm based on parallel computing is created in this paper. This algorithm mainly includes assigning the work threads according to the numbers of CPU nucleuses in genetic algorithm on average and choosing the better starting point from each set in floating search algorithm. The results shows the vehicle driving pattern characteristic parameters search algorithm based on parallel computing could reduce the searching time greatly and satisfy the demand of driving pattern recognition.
Keywords :
genetic algorithms; hybrid electric vehicles; intelligent control; pattern recognition; road vehicles; search problems; floating search algorithm; genetic algorithm; hybrid electric vehicle; intelligent control strategy; parallel computing; vehicle driving pattern characteristic parameters search algorithm; vehicle driving pattern recognition model; Algorithm design and analysis; Central Processing Unit; Genetic algorithms; Instruction sets; Parallel processing; Pattern recognition; Vehicle driving; driving pattern characteristic parameters search algorithm; floating search algorithm; genetic algorithm; parallel computing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Conference (CCC), 2014 33rd Chinese
Conference_Location :
Nanjing
Type :
conf
DOI :
10.1109/ChiCC.2014.6896612
Filename :
6896612
Link To Document :
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