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International Journal of Automotive Technology

, Volume 20, Issue 6, pp 1195–1203 | Cite as

Modeling Analysis on Improving Cylinder Balance in A Gasoline Engine Using Electromagnetic Valve Train

  • Yaxuan Xu
  • Siqin ChangEmail author
  • Liang Liu
  • Tianbo Wang
  • Maoyang Hu
Article
  • 7 Downloads

Abstract

For the multi-cylinder gasoline engine, the consistency among cylinders is an important index to affect the engine emission and the engine power. In this paper, an individual cylinder air-fuel ratio (A/F) control method for a fourcylinder camless engine with the electromagnetic valve train (EMVT) was proposed to reduce the imbalance of engine torque. An individual cylinder A/F estimation algorithm with a single universal exhaust gas oxygen (UEGO) sensor based on fading Kalman filtering was introduced. Four proportional-integral feedback controllers were built to regulate the individual A/F by adjusting the intake valve closing (IVC) timing of each cylinder independently based on the EMVT. The effectiveness of the proposed estimation and control approach was validated by co-simulation of GT-Power and Simulink. The results showed that the proposed estimation method could accurately estimate the individual cylinder A/F, and the maximum estimation error under steady state condition was less than 1 %. With the feedback control, both the individual A/F imbalance and the cylinderto- cylinder torque generation imbalance were decreased.

Key Words

Individual A/F control Gasoline engine Electromagnetic valve train Torque balancing 

Nomenclature

Nomenclature

A/F

air-fuel ratio

BDC

bottom dead center

BSFC

brake specific fuel consumption

EMVT

electromagnetic valve train

FMEP

friction mean effective pressure

IM

injected mass

IVC

intake valve closing

PI

proportional-integral

RSD

relative standard deviation

UEGO

universal exhaust gas oxygen

Subscripts

c

crankshaft

cyl

cylinder

sen

sensor

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Notes

Acknowledgement

This work was supported by the National Natural Science Foundation of China [grant number 51306090]; and the Natural Science Foundation of Jiangsu Province, China [grant number BK20130762].

References

  1. Benvenuti, L., Benedetto, M. D. D., Gennaro, S. D. and Sangiovanni-Vincentelli, A. (2003). Individual cylinder characteristic estimation for a spark injection engine. Automatica 39, 7, 1157–1169.MathSciNetCrossRefzbMATHGoogle Scholar
  2. Chang, C. F., Fekete, N. P., Amstutz, A. and Powell, J. D. (1995). Air-fuel ratio control in spark-ignition engines using estimation theory. IEEE Trans. Control Systems Technology 3, 1, 22–31.CrossRefGoogle Scholar
  3. Chauvin, J., Petit, N., Rouchon, P., Moulin, P. and Corde, G. (2006). Six degrees crankshaft individual air fuel ratio estimation of diesel engines for cylinder balancing purpose. SAE Paper No. 2006-01-0013.Google Scholar
  4. Fan, X., Chang, S., Liu, L. and Lu, J. (2017). Realization and optimization of high compression ratio engine with electromagnetic valve train. Applied Thermal Engineering, 112, 371–377.CrossRefGoogle Scholar
  5. Fan, X., Liu, L., Chang, S., Xu, J. and Dai, J. (2016). Electromagnetic valve train for gasoline engine exhaust system. Int. J. Automotive Technology 17, 3, 361–367.CrossRefGoogle Scholar
  6. Geng, Y. and Wang, J. (2008). Adaptive estimation of multiple fading factors in Kalman filter for navigation applications. GPS Solutions 12, 4, 273–279.CrossRefGoogle Scholar
  7. Hara, T., Shen, T., Mutoh, Y. and Liu, Y. (2017). Periodic time-varying observer-based learning control of A/F ratio in multi-cylinder IC engines. Recent Contributions in Intelligent Systems, 657, 65–83.CrossRefGoogle Scholar
  8. Hasegawa, Y., Akazaki, S., Komoriya, I., Maki, H., Nishimura, Y. and Hirota, T. (1994). Individual cylinder air-fuel ratio feedback control using an observer. SAE Paper No. 940376.Google Scholar
  9. Kainz, J. L. and Smith, J. C. (1999). Individual cylinder fuel control with a switching oxygen sensor. SAE Paper No. 1999-01-0546.Google Scholar
  10. Kim, J., Oh, S., Lee, K., Sunwoo, M., Kim, W., Lee, C. and Kim, M. (2010). Individual cylinder air-fuel ratio estimation algorithm for variable valve lift (VVL) Engines. SAE Paper No. 2010-01-0785.Google Scholar
  11. Kim, S., Shin, K., Yoo, C. and Huh, K. (2017). Development of algorithms for commercial vehicle mass and road grade estimation. Int. J. Automotive Technology 18, 6, 1077–1083.CrossRefGoogle Scholar
  12. Leroy, T., Chauvin, J. and Petit, N. (2009). Motion planning for experimental air path control of a variablevalve-timing spark ignition engine. Control Engineering Practice 17, 12, 1432–1439.CrossRefGoogle Scholar
  13. Li, P., Shen, T. and Liu, D. (2012). Idle speed performance improvement via torque balancing control in ignitionevent scale for SI engines with multi-cylinders. Int. J. Engine Research 13, 1, 65–76.CrossRefGoogle Scholar
  14. Li, P., Shen, T., Liu, K., Kako, J. and Yoshida, S. (2008). Modeling and balancing control for torque generation in combustion event scale for multi-cylinder SI engines. Proc. Int. Conf. Control, Automation and Systems, Seoul, Korea.Google Scholar
  15. Liu, L. and Chang, S. (2011). Improvement of valve seating performance of engine’s electromagnetic valvetrain. Mechatronics 21, 7, 1234–1238.CrossRefGoogle Scholar
  16. Liu, L. and Chang, S. (2012). Motion control of an electromagnetic valve actuator based on the inverse system method. Proc. Institution of Mechanical Engineers, Part D: J. Automobile Engineering 226, 1, 85–93.Google Scholar
  17. Myung, C. L., Choi, K. H., Hwang, I. G., Lee, K. H. and Park, S. (2009). Effects of valve timing and intake flow motion control on combustion and time-resolved HC & NOx formation characteristics. Int. J. Automotive Technology 10, 2, 161–166.CrossRefGoogle Scholar
  18. Seethaler, R., Koch, C. R., Chladny, R. and Mashkoumia, M. (2013). Closed loop electromagnetic valve actuation motion control on a single cylinder engine. SAE Paper No. 2013-01-0594.Google Scholar
  19. Shiao, Y. and Dat, L. V. (2012). Efficiency improvement for an unthrottled SI engine at part load. Int. J. Automotive Technology 13, 6, 885–893.CrossRefGoogle Scholar
  20. Shiao, Y. and Moskwa, J. J. (1996). Model-based cylinderby-cylinder air-fuel ratio control for SI engines using sliding observers. Proc. IEEE Int. Conf. Control Applications, Dearborn, Michigan, USA.Google Scholar
  21. Shim, D., Park, J., Khargonekar, P. P. and Ribbns, W. B. (1996). Reducing automotive engine speed fluctuation at idle. IEEE Trans. Control Systems Technology 4, 4, 404–410.CrossRefGoogle Scholar
  22. Wu, C. W., Chen, R. H., Pu, J. Y. and Lin, T. H. (2004). The influence of air-fuel ratio on engine performance and pollutant emission of an SI engine using ethanolgasoline-blended fuels. Atmospheric Environment 38, 40, 7093–7100.CrossRefGoogle Scholar
  23. Zhang, J., Shen, T., Xu, G. and Kako, J. (2013). Wallwetting model based method for air-fuel ratio transient control in gasoline engines with dual injection system. Int. J. Automotive Technology 14, 6, 867–873.CrossRefGoogle Scholar

Copyright information

© KSAE/ 111-12 2019

Authors and Affiliations

  • Yaxuan Xu
    • 1
  • Siqin Chang
    • 1
    Email author
  • Liang Liu
    • 1
  • Tianbo Wang
    • 2
  • Maoyang Hu
    • 1
  1. 1.School of Mechanical EngineeringNanjing University of Science and TechnologyNanjingChina
  2. 2.School of Automobile and Traffic EngineeringJiangsu University of TechnologyChangzhouChina

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