Research on shifting process control of automatic transmission.

Area of Science:

• Automotive Engineering
• Control Systems
• Mechanical Engineering

Background:

• Automatic transmission shift quality impacts vehicle comfort and longevity.
• Inconsistencies from manufacturing or wear affect shift quality, necessitating adaptive control.
• Understanding the dynamics between solenoid current, clutch pressure, speed, and torque is crucial for control.

Purpose of the Study:

• To analyze the relationships between key parameters during automatic transmission shifts.
• To develop and propose novel adaptive control strategies for improved shift quality.
• To validate the effectiveness of these strategies in real-world conditions.

Main Methods:

• In-depth analysis of proportional solenoid current, clutch pressure, speed, and torque dynamics.
• Development of two distinct adaptive control strategies targeting the torque and inertia phases of a shift.
• Experimental verification of the proposed algorithms on a utility vehicle.

Main Results:

• The proposed adaptive control strategies successfully compensated for engine flare during the torque phase.
• Clutch tie-up during the torque phase was effectively mitigated.
• The inertia phase duration was maintained within optimal time ranges by the control strategies.

Conclusions:

• Adaptive control is essential for compensating variations affecting automatic transmission shift quality.
• The developed strategies offer a viable solution for enhancing shift performance and vehicle durability.
• Experimental validation confirms the practical effectiveness of the proposed adaptive control methods.