Simulation and Analysis on Stationary Combination Valve of Heavy-Duty Vehicle Automatic Transmission

2013 ◽  
Vol 712-715 ◽  
pp. 2183-2187 ◽  
Author(s):  
Yan Zhang ◽  
Wen Xing Ma ◽  
Wen Xu

A mathematical model and dynamic characteristics simulation model were established based on working principle of stationary combination valve in order to study shift quality of heavy-duty vehicle automatic transmission. Various parameters on buffer characteristics influence and outer diameter of the clutch hydraulic cylinder, the spring stiffness and preload influenced on the buffer time, starting pressure and termination pressure were gained with using batch function. The results show that the smaller the orifice diameter, spring stiffness and preload is, the longer the buffer time is, and the curve of buffer characteristic is downward translation. The larger the outer diameter of the clutch hydraulic cylinder, spring stiffness and preload is, the shorter the buffer time is, while the initial pressure and the termination pressure are relatively lower.

2015 ◽  
Vol 9 (1) ◽  
pp. 333-338 ◽  
Author(s):  
Ma Wenxing ◽  
Zhang Yan ◽  
Wang Ruoyang ◽  
Lu Xiuquan

The structural concepts of Switch solenoid valve and proportional solenoid valve were proposed for the hydraulic shift control system of some hydrodynamic mechanical automatic transmissions. Shift oil pressure of stationary combination valve and proportional solenoid valve was modeled, simulated, contrasted and analyzed by dynamic simulation software in order to study the shift quality of heavy-duty vehicle automatic transmission. The results show that proportional solenoid valve is better to control the characteristic of shift oil pressure, reduce shift shock, improve shift quality and comfort than stationary combination valve. The correctness and validity of the model were verified through bench test, which reflected the dynamic characteristics of shift oil pressure of hydrodynamic mechanical automatic transmission. The results can be used to match the performance and predict heavy-duty vehicle shifting process, and to further lay the foundation for the enhancement of shift performance of the system.


2015 ◽  
Vol 64-65 ◽  
pp. 16-28 ◽  
Author(s):  
Fei Meng ◽  
Huiyan Chen ◽  
Tao Zhang ◽  
Xiaoyuan Zhu

Empirica ◽  
2012 ◽  
Vol 39 (2) ◽  
pp. 261-278 ◽  
Author(s):  
Karl W. Steininger ◽  
Christoph Schmid ◽  
Alexandra Tobin

2021 ◽  
Vol 94 ◽  
pp. 102784
Author(s):  
Nikiforos Zacharof ◽  
Georgios Fontaras ◽  
Biagio Ciuffo ◽  
Alessandro Tansini ◽  
Iker Prado-Rujas

Author(s):  
Erlie Wang ◽  
Huiyan Chen ◽  
Gang Tao ◽  
Xianhui Wang ◽  
Hongliang Wang

Estimation of the oil hydraulic pressure for the gear-shift elements can be useful for the development of closed-loop control of the automatic transmission fitted to a heavy off-highway vehicle for a good gear-shift quality, to reduce the dissipated energy and the vehicular shift jerk in complex working conditions. The unified dynamic model for a three-degree-of-freedom planetary automatic transmission is presented, and the power-on upshift from first gear to second gear is considered as an example. The unified model is more efficient than the conventional model for the dynamic analysis; furthermore, it provides a computational method for the inertia of the transmission when in gear. From a phased characteristic analysis, real-time estimation of the oil pressure for the gear-shift elements in the sliding process, i.e. the torque phase and the inertia phase, is addressed; then the improved control scheme for the power-on upshift from first gear to second gear is developed and validated using a heavy off-highway vehicle equipped with a high-power full-range speed-regulating diesel engine. The experimental results show that the model-based oil pressure estimation is able to reflect the dynamic characteristics of the system in changing conditions, and the corresponding control strategy can improve the gear-shift quality and the vehicular performance effectively.


2016 ◽  
Vol 17 (4) ◽  
pp. 1051-1061 ◽  
Author(s):  
Kuo-Yun Liang ◽  
Jonas Martensson ◽  
Karl H. Johansson

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