Abstract

In order to improve fuel economy, the number of gears in the hydraulic automatic transmission of heavy-duty mining trucks is continuously increasing. Compared with single-transition shifts, double-transition shifts can optimize the structure of multi-speed transmissions, but the difficulty of control will also increase. In this paper, a dynamic model of a 6 + 2 speed automatic transmission and vehicle powertrain system are built based on the Lagrange method, and the dynamic analysis of the two sets of clutches that make up the double-transition shift are carried out. Since a simulation model of the double-transition shift process is built-in MATLAB/Simulink, the shift jerk and clutch energy loss are used as multi-objective, and the genetic algorithm is used to optimize the simulation. Five strategies for the overlapping time of the clutches are proposed, and simulation experiments and Pareto optimal analysis are carried out, respectively. The simulation results show that the non-overlapping of the two sets of clutch inertia phases in the double-transition shift can effectively reduce the shift jerk. The overlapping of the torque phase and the inertia phase of the other clutch set can control the clutch energy loss at a low level due to using less shift time.

Highlights

  • Since the need for the market and regulations to improve the fuel economy and smoothness of heavy-duty mining trucks, increasing the number of the forward gears is the trend of developing the new high-power hydraulic automatic transmission (AT) [1,2,3]

  • The Double-transition shift (DTS) involving more clutch elements is more complicated than the STS of traditional transmission, which poses a higher challenge to the AT control system of heavy-duty mining trucks [7]

  • Ranogajec et al [13,14] used the bond graph method to analyze the dynamics of a shift process for a ten-speed automatic transmission, and they proposed a solution by using an extra clutch to compensate the output torque, so as to assist the gear shift and suppress the excessive impact of the inertial phase

Read more

Summary

Introduction

Since the need for the market and regulations to improve the fuel economy and smoothness of heavy-duty mining trucks, increasing the number of the forward gears is the trend of developing the new high-power hydraulic automatic transmission (AT) [1,2,3]. In the research of the nonlinear characteristics of the method wet clutch, a clutch the pressure controller sliding used dynamic the model predictive control to optimize shifting quality. DTS powerstate downshifts (10-6 gears) and theory multi-body dynamics, analyzed the motion of the components, andproposed proposedsix a different additional constraint schemes of et clutch torque and speed during shift transients. DTS power downshifts (10-6 gears) and simulationsix analysis, simulation results show thatofthe rapid pressure of the two clutches proposed differentthe additional constraint schemes clutch torque and reduction speed during shift transients. AT equipped on heavy-duty mining trucks with DTS, this paper uses overlap time of the two clutch the Lagrange toofbuild theequipped dynamic on model of the high-power transmission vehicle.

Modeling of DTS
Method
Modeling of Clutch Friction
Modeling
Double-Transition Shift Process Analysis
BL and BM Power on Upshift Process Analysis
BS and CS Power on Downshift Process Analysis
Multi-Objective Optimization of DTS
Strategy
After the shifting process from BL totoBM
Simulation results of power-on
Strategy Two
Strategy Three
Strategy Four
Simulation results ofof
Findings
Conclusions

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.