DocumentCode
536332
Title
Compilation of dynamic efficiency test cycle for motor propulsion system on hybrid electric vehicle
Author
Li, Wen ; Zhang, Chengning ; Zhifu, Wang ; Song Qiang ; Xiaohua, Wu ; Xiaopeng, Huang
Author_Institution
Nat. Eng. Lab. for Electr., Vehicle Beijing Inst. of Technol., Beijing, China
Volume
1
fYear
2010
fDate
29-31 Oct. 2010
Firstpage
86
Lastpage
90
Abstract
Thirty driving cycles are screened from forty three driving cycles provided in ADVISOR. All the maximum vehicle traction power requirement of the thirty driving cycles calculated on the basis of dynamics theory are less than vehicle actual traction power. Statistical results show that sedan HEV (hybrid electric vehicle)´s ideal proportion of the city driving, suburban driving and highway driving is 55%: 28%: 17%. According to the ideal proportion of the road condition, the optimum driving cycle is picked out from the thirty ones and is simulated on series, INSIGHT, parallel and PRIUS HEV models. The optimized torque load ratio and speed load ratio as simulation results are defined as the motor duty cycle which is dynamic efficiency test cycle for motor propulsion system of series, ISG, parallel and hybrid categories HEV.
Keywords
electric vehicles; mechanical engineering computing; propulsion; testing; traction power supplies; vehicle dynamics; ADVISOR; HEV ideal proportion; INSIGHT; PRIUS HEV models; dynamic efficiency test cycle; dynamics theory; hybrid electric vehicle; maximum vehicle traction power requirement; motor propulsion system; optimized torque load ratio; speed load ratio; thirty driving cycles; vehicle actual traction power; Biological system modeling; Hybrid electric vehicles; Torque; dynamic; hybrid electric vehicle; motor propulsion system; test duty cycle;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Computing and Intelligent Systems (ICIS), 2010 IEEE International Conference on
Conference_Location
Xiamen
Print_ISBN
978-1-4244-6582-8
Type
conf
DOI
10.1109/ICICISYS.2010.5658715
Filename
5658715
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