Performance Analysis of an Automated Manual Transmission Controller for Two-Wheeler

2019-28-0125

10/11/2019

Event
International Conference on Advances in Design, Materials, Manufacturing and Surface Engineering for Mobility
Authors Abstract
Content
This research paper presents controller development and its performance analysis for two wheeler. The comparison for different performance parameters is carried out with and without automated manual transmission (AMT) controller. The AMT considered in this case, includes a conventional manual transmission gear-box with conventional clutch pedal. It is equipped with clutch actuation with the help of linear actuator and the gear shifting using servo motor. The upshift and downshifting of the gears and the clutch actuation is done through the decisions of controller. The results generated during the engine dynamometer test are used as input creating two wheeler vehicle model using AVL cruise software. This vehicle model is used to predict vehicle performance. The vehicle performance results are validated with chassis dynamometer test data. The vehicle model is modified for generation of gear shifting plot. Also Gear shift program (GSP) is generated using the GSP generation module of AVL cruise software. The two criteria used for GSP generation are fuel economy and vehicle acceleration performance. The simulation results include generation of gear shifting graph which covers range from 0-120 kmph. The hysteresis zones are established during up shift and downshift, based on actuator and sensor limitations. The automated manual transmission controller algorithm has used the input of two parameters which are vehicle speed and throttle position. The simulation shows 4% reduction with generated gear shift plot.
Meta TagsDetails
DOI
https://doi.org/10.4271/2019-28-0125
Pages
4
Citation
Patil, S., and Wani, K., "Performance Analysis of an Automated Manual Transmission Controller for Two-Wheeler," SAE Technical Paper 2019-28-0125, 2019, https://doi.org/10.4271/2019-28-0125.
Additional Details
Publisher
Published
Oct 11, 2019
Product Code
2019-28-0125
Content Type
Technical Paper
Language
English