Optics and Precision Engineering, Volume. 25, Issue 2, 441(2017)

Intelligent optimization design for MB-CVT electro-hydraulic control system

HAN Ling1... GAO Shuai2 and LU Xiao-hui1 |Show fewer author(s)
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • show less

    Purpose: to improve the fuel economy of vehicles with MB-CVT, a control algorithm based on sliding mode extremum seeking (SMES) theory and an integrated control method based on combination of SMES control and traditional clamping force control were put forward. Method: designed the integrated control system based on a combination of SMES control and traditional hydraulic control, and established a mathematical model with nonlinearity and discreteness; analyzed the special curvilinear relationship between the efficiency of continuously variable transmission (CVT) and slip ratio of metal band (MB); tested the clamping force ratio coefficient of drive/driven wheel, and achieved the design for speed ratio tracking controller and changed ratio flow; completed the SMES controller design based on principle of the SMES algorithm, and carried out whole vehicle testing in the running drum tester with environment chamber. Conclusion: the test results show that fuel consumption for vehicle with MB-CVT which adopts the integrated control is 7.18L/100km, 5.64% lower than fuel consumption of traditional control system, and inverse indicator for pressure safety index of both the drive wheel and driven wheel is lower than 1, which meets the reliability, stability and optimal performance for improvement of whole-vehicle fuel economy.

    Tools

    Get Citation

    Copy Citation Text

    HAN Ling, GAO Shuai, LU Xiao-hui. Intelligent optimization design for MB-CVT electro-hydraulic control system[J]. Optics and Precision Engineering, 2017, 25(2): 441

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category:

    Received: Sep. 20, 2016

    Accepted: --

    Published Online: Mar. 29, 2017

    The Author Email:

    DOI:10.3788/ope.20172402.0441

    Topics