An optimized observer for estimating torque converter characteristics for vehicles with automatic transmission

 
 
 
  • Abstract
  • Keywords
  • References
  • PDF
  • Abstract


    The trending technology in the automobile power train system is the automatic transmission which allows the driver to drive the vehicle without pressing the clutch and can make gear shifting decisions themselves and thus frees the driver from shifting the gears manually. The system consists of torque convertor which replaces clutch and an alternate transmission system which consisting of planetary gears and actuators as drivetrain. In spite of the advantages of the automatic transmission system, there is a problem developing a controller for the system. That is because of the fact that the parameters characterizing the performance of the power train are not measurable because of sensor cost and reliability considerations. There is a need to provide real time information about the un-measurable parameters especially the internal state parameters of the torque converter. Thus, this paves the way for the development of model-based estimation for automatic transmission system to improve the fuel economy during the whole driving profile. The state space analysis can aid in the process. Several outputs from the system can be measured and can be used as a model for observing the internal states of the torque converter system. For this analysis MATLAB/Simulink can be used to model the plant and tools available in MATLAB can aid in developing a specific “state observer” which is the means in which the states can be studied.


  • Keywords


    Automatic Transmission; Gear Shift Schedule; State Space Observer; State Space Analysis; Torque Converter.

  • References


      [1] Wenchen Shen, Huilong Yu, Yuhui Hu, Junqiang Xi, “Optimi-zation of Shift Schedule for Hybrid Electric Vehicle with Auto-mated Manual Transmission”, Energies 2016,9,220. https://doi.org/10.3390/en9030220.

      [2] S.M.Bannur, “Shift Quality of Automated Manual Transmis-sion: A Literature Review”, IJSART- Volume 2 Issue 3- March 2016.

      [3] Yanying Wang, Kraska, M., &Ortmann, W. (2001). Dynamic modeling of a variable force solenoid and a clutch for hydraulic control in vehicle transmission system. , 3. pp. 1789-1793 vol.3.

      [4] S. Thornton, G. M. Pietron, D. Yanakiev, J. McCallum, A. Annaswamy, ”Hydraulic Clutch Modeling for Automotive Control,” in Proceedings of the 2013 52nd IEEE Conference on Decision and Control, 10-13 December 2013, Florence, Italy. https://doi.org/10.1109/CDC.2013.6760312.

      [5] G. Tao, T. Zhang, H. Chen, “Modeling of Shift Hydraulic System for Automatic Transmission,” IEEE, June 2011.

      [6] XU Tao, GUO Xuexun, ZHANG Jieshan, et al. Numerical Calculation of the Internal Flow Field of Torque Converter based on Fluent [J] . Transactions of the Chinese Society of Agricultural Machinery. 2007. 38 (12): 152 - 155, 168.

      [7] ZHANG Jieshan, GUO Xuexun, XU Tao, et al. Grid Genera-tion of Torque Converter and Numerical Analysis on Internal Flow Field [J]. Journal of Wuhan University of Technology, 2007 (29) 7: 106 – 109.

      [8] Ibamoto, M., Kuroiwa, H., Minowa, T., Sata, K., and Tsuchiya, T, "Development of Smooth Shift Control System with Output Torque Estimation," SAE Technical Paper, No. 950900, 1995.

      [9] Masmoudi, R. A., and Herdick, J.K., "Estimation of Vechicle Shaft Torque Using Nonlinear Observers," ASME Journal of Dy-namic Systems, Measurement, and Control, Vol. 114, pp. 394-400, September, 1992. https://doi.org/10.1115/1.2897360.

      [10] Kotwicki, A. J., "Dynamic Models for Torque Converter Equipped Vehicles," SAE Technical Paper, No. 820393, 1982.

      [11] Pan, C.-H., &Moskwa, J. J., 1995, "Dynamic Modeling and Simulation of the Ford AOD-E Automobile Transmission", SAE Tech. Paper 950899.

      [12] Pan, C.H., "Powertrain Modeling and Engine Torque Estima-tion Using Nonlinear Observers," Ph.D. Thesis, Dept. of Mech. Engr., Univ. of Wisconsin, June 1995 ment, both sides of the paragraph are straight.


 

View

Download

Article ID: 9999
 
DOI: 10.14419/ijet.v7i2.9999




Copyright © 2012-2015 Science Publishing Corporation Inc. All rights reserved.