Modeling and Control Simulation for the Multi-Range Hydro-Mechanical CVT

Abstract:

To develop the control system of multi-range hydro-mechanical continuously variable transmission (HMCVT), a model of a multi-range HMCVT is built using the principle of dynamics. According to the characteristic of power split, HMCVT is separated as axes set, variable displacement pump-motor system, clutch set. With wheel tractor as application instance, the whole model of vehicle power train is made, which includes the engine, HMCVT, running system and control system. Based on the theory of Finite State Machine, an automatic control method of speed change and range shift is present, which employs the throttle value, engine speed, range number and transmission ratio as the control parameters. The dynamic characteristic of automatic speed changing and ranges shifting is simulated. The result indicates that the model can correctly represent the dynamic characteristic of HMCVT, the engine can run at the optimal working point, the multi-range HMCVT can shift range steadily and change transmission ratio continuously when the load changes, the circularly shift range is avoided. The model can be used conveniently for the analysis of vehicle dynamic performance and the research of multi-range HMCVT control method.

• Periodical: Key Engineering Materials (Volume 621)
• Pages: 462-469
• DOI: https://doi.org/10.4028/www.scientific.net/KEM.621.462
• Online since: August 2014
• Authors: Ming Zhu Zhang*, Zhi Li Zhou
• Keywords: Control Simulation, Modeling, Multi-Range Hydro-Mechanical CVT, Range Shift, Stepless Transmission

References

[1] S.M. Savaresi, F.L. Taroni, et al: IEEE/ASME transactions on mechatronics, Vol. 9(2004) No. 3, p.569~579.

[2] W.B. Wang: Dynamic powertrain system modeling and simulation with applications for diagnostics, design and control. PhD Thesis, Wsconsin Madision: UW-Madison, (2001).

[3] Q. Zheng: Modeling and control of powertrain with stepped automatic transmissions. Ph. D thesis, Ohio State University, (1999).

[4] H.S. Jo, S.T. Jo, et al: Heavy vehicle system, Vol. 8(2001), p.160~182.

[5] A. Haj-Fraj, F. Pfeiffer: Journal of the Franklin Institute, Vol. (2008) No. 338, p.371~390.

[6] F. Jamzadeh, et al: Dynamic simulation modeling for heavy duty automatic transmission control development. SAE paper, 922441.

DOI: 10.4271/922441

[7] H. Vahabzadeh, et al: Modeling, simulation, and control implementation for a split-torque, geared neutral, infinitely variable transmission. SAE paper, 910409.

DOI: 10.4271/910409

[8] M. Zh. Zhang, Zh.L. Zhou: Transactions of the Chinese Society of Agricultural Engineering. Vol. 22(2004) No. 3, p.75~77.

[9] M. Zh. Zhang, Zh.L. Zhou: Transactions of the Chinese Society of Agricultural Engineering, Vol. 21(2003) No. 6, pp.118-121.

[10] A. Kugi,K. Schlacher, et al: Mathematics and computers in simulation, Vol(2001) No. 53, p.409~414.

[11] M. zh. Zhang, Zh.L. Zhou: Principle of weight dynamic change fuzzy-PID integrated control for the displacement ratio of multi-range HMCVT. International Conference on Intelligent Computation Technology and Automation, Changsha, China, 2010, pp.935-938.

DOI: 10.1109/icicta.2010.322