Optimal control based torque distribution for in-wheel motor vehicle.

Area of Science:

• Automotive Engineering
• Control Systems
• Electric Vehicle Technology

Background:

• In-wheel motor vehicles offer advantages like independent torque control and reduced weight.
• Vehicle stability management is crucial for electric vehicle (EV) safety and performance.
• Existing control methods may not fully address the complexities of EV dynamics.

Purpose of the Study:

• To improve vehicle stability management in in-wheel motor electric vehicles.
• To develop a robust control strategy for direct yaw moment control.
• To validate the proposed control system through simulation and experimental testing.

Main Methods:

• Formulated a specialized phase plane method for instability assessment.
• Designed a direct yaw moment controller using an enhanced dynamic surface sliding mode variable structure control technique.
• Engineered an optimal torque allocator using quadratic programming, considering tire force and torque constraints.

Main Results:

• Established correlations between yaw rate, lateral displacement, and handling stability.
• Successfully designed and simulated a direct yaw moment controller and optimal torque allocator.
• Validated the proposed control strategy on an in-wheel motor vehicle prototype.

Conclusions:

• The developed control strategy effectively enhances vehicle stability management in in-wheel motor EVs.
• The integration of advanced control techniques and optimal allocation ensures safe and efficient torque distribution.
• The study confirms the practical feasibility and efficacy of the proposed solution for electric vehicle stability.