Driving Intention Recognition of Electric Wheel Loader Based on Fuzzy Control

Area of Science:

• Engineering
• Automotive Engineering
• Control Systems

Background:

• Energy conservation and emission reduction are critical in industrial operations.
• Electric wheel loaders offer zero-emission and high energy efficiency benefits.
• Frequent gear shifting in wheel loaders challenges operators, impacting comfort and safety.

Purpose of the Study:

• To develop an effective driving intention recognition method for electric wheel loaders.
• To address the limitations of passenger car-based methods in heavy machinery.
• To enhance automatic shifting systems for improved operator experience.

Main Methods:

• Application of a fuzzy recognition method based on fuzzy control tailored for wheel loader working conditions.
• Utilizing throttle, throttle change rate, and braking signals as input parameters.
• Defining and recognizing five distinct driving intentions: rapid acceleration, normal acceleration, acceleration maintenance, deceleration, and braking.

Main Results:

• The proposed fuzzy recognition method demonstrated effectiveness in identifying driver intentions in electric wheel loaders.
• Simulation and experimental research validated the method's performance.
• The system successfully provided effective shift signal inputs for the wheel loader.

Conclusions:

• The developed fuzzy control-based driving intention recognition method is suitable for electric wheel loaders.
• This approach enhances the feasibility and performance of automatic shifting systems in heavy construction equipment.
• The method contributes to improved operator comfort and safety in electric wheel loader operations.