PHEV torque control of the pre-shift process based on ANFIS

Xiangyu Dong*, Junqiang Xi, Huiyan Chen

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

To make the parallel hybrid electrical vehicle (PHEV) equipped with automatic mechanical transmission (AMT) shift without disengaging clutch, the speed and the torque of the engine and the motor must be controlled precisely and reasonably. Because the engine and the motor all equipped before the AMT, the input shaft moment of inertia of the transmission is great. To ensure the synchronizer of the transmission disengage with a small force and reduce the tooth wear of the synchronizer, we must control the torque of the motor based on different conditions to make the AMT work with small torque transmission before shifting. In view of the uncertainty and complexity of the system, we use ANFIS method to determine the target torque of the motor to make sure the synchronizer disengages with the transmission transferring little torque. Finally, we make a vehicle simulation carried out by the software "cruise" and prove that the method is feasible.

Original languageEnglish
Title of host publicationMaterials Science and Engineering
Pages1327-1332
Number of pages6
DOIs
Publication statusPublished - 2011
Event2010 International Conference on Materials Science and Engineering Science, ICMSES 2010 - Shenzhen, China
Duration: 11 Dec 201012 Dec 2010

Publication series

NameAdvanced Materials Research
Volume179-180
ISSN (Print)1022-6680

Conference

Conference2010 International Conference on Materials Science and Engineering Science, ICMSES 2010
Country/TerritoryChina
CityShenzhen
Period11/12/1012/12/10

Keywords

  • AMT
  • ANFIS method
  • Shifting without disengaging clutch
  • Torque control

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Dong, X., Xi, J., & Chen, H. (2011). PHEV torque control of the pre-shift process based on ANFIS. In Materials Science and Engineering (pp. 1327-1332). (Advanced Materials Research; Vol. 179-180). https://doi.org/10.4028/www.scientific.net/AMR.179-180.1327