Paper Title:
Research on Automatic Mechanical Transmission Shift Schedule
  Abstract

In order to solve some problems existing in the process of shift for automatic mechanical transmission vehicles such as great shift impact, engine noise and low shift success ratio between gears which have large speed ratio differences, a new method used to determine shift schedule was put forward in this paper. In this method, shift schedule and shift quality were synthetically considered, the downshift schedule was obtained based on the same optimization target with upshift schedule and proper downshift delay with shift impact and shift time controlled in a predetermined range. An optimal power shift schedule was developed with this method, and the performance of the automatic mechanical transmission vehicle controlled by this method was compared with that of controlled by skilled driver. The results indicate that the former obviously improved the performance of the vehicle with the shift quality controlled in a predetermined range.

  Info
Periodical
Advanced Materials Research (Volumes 199-200)
Edited by
Jianmin Zeng, Zhengyi Jiang, Taosen Li, Daoguo Yang and Yun-Hae Kim
Pages
318-322
DOI
10.4028/www.scientific.net/AMR.199-200.318
Citation
Y. B. Cao, "Research on Automatic Mechanical Transmission Shift Schedule", Advanced Materials Research, Vols. 199-200, pp. 318-322, 2011
Online since
February 2011
Authors
Export
Price
$32.00
Share

In order to see related information, you need to Login.

In order to see related information, you need to Login.

Authors: Yang Gao, Yong Chen, Da Guo Luo, Wen Zhong Liu, Ming Qi Gu, Fu Quan Zhao
Chapter 4: Automation and Control Technologies, Sensors
Abstract:The control strategy of gear-position optimization of an AMT vehicle under Tip-in condition is presented in this article. The down-shift...
522
Authors: Zhen Zhao, Yong Chen, Yu Xi Cai
Chapter 24: Precision Automation
Abstract:The shift strategy affects the vehicle dynamic performance, ride quality directly. On the basis of the shift control strategy analysis for...
2732