DocumentCode :
620383
Title :
A study on gear shifting schedule for 2-speed electric vehicle using dynamic programming
Author :
Yu Xiang ; Lulu Guo ; Bingzhao Gao ; Hong Chen
Author_Institution :
State Key Lab. of Automotive Simulation & Control, Jilin Univ., Changchun, China
fYear :
2013
fDate :
25-27 May 2013
Firstpage :
3805
Lastpage :
3809
Abstract :
For a novel electric vehicle equipped with 2-speed Automated Manual Transmission (AMT), an optimal gear shifting schedule is designed to improve the energy economy of the vehicle. Given a driving cycle, the global optimal transmission ratio control sequence can be derived from Dynamic Programming algorithm. Then the optimal gear shifting schedule is achieved from the map of the optimal gear operational points of multiple driving cycles. Compared with some other selected gear shifting schedules, it is shown that the optimal shifting schedule improves energy consumption economy by about 5.5%.
Keywords :
dynamic programming; electric vehicles; energy consumption; fuel economy; gears; power transmission (mechanical); scheduling; 2-speed automated manual transmission; 2-speed electric vehicle; driving cycle; dynamic programming algorithm; energy consumption economy; energy economy; global optimal transmission ratio control sequence; optimal gear operational points; optimal gear shifting schedule; Batteries; Electric vehicles; Energy consumption; Gears; Schedules; Traction motors; Dynamic Programming; Electric Vehicle; Energy Consumption Economy; Gear Shifting Schedule;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Decision Conference (CCDC), 2013 25th Chinese
Conference_Location :
Guiyang
Print_ISBN :
978-1-4673-5533-9
Type :
conf
DOI :
10.1109/CCDC.2013.6561612
Filename :
6561612
Link To Document :
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