An NMPC-Based Integrated Longitudinal and Lateral Vehicle Stability Control Based on the Double-Layer Torque...

Area of Science:

• Automotive Engineering
• Control Systems
• Electric Vehicle Technology

Background:

• Advancements in electric vehicles (EVs) drive the need for sophisticated electrical control systems.
• Drive-by-wire systems (driving, braking, steering) are increasingly common in EVs.
• Conflicting control objectives and system interference necessitate integrated chassis control.

Purpose of the Study:

• To propose a model predictive control (MPC)-based integrated chassis control system for longitudinal dynamics in pure electric commercial vehicles.
• To integrate key functions including acceleration slip regulation (ASR), braking force distribution, anti-lock braking system (ABS), and direct yaw moment control (DYC).
• To enhance vehicle stability and performance during driving and braking maneuvers.

Main Methods:

• Analysis and modeling of key vehicle components, including electro-mechanical brake (EMB) systems.
• Development of an MPC-based controller with a double-layer torque distribution strategy.
• Simulation using Matlab/Simulink to verify the proposed control strategy.

Main Results:

• Average braking deceleration increased by 32%, and braking distance reduced by 15% compared to uncontrolled conditions.
• Faster transition to smooth driving, with time reduced by 1.5 s to 5 s.
• Significant improvement in lateral stability parameters for the controlled vehicle.

Conclusions:

• The proposed MPC-based integrated chassis control system effectively manages longitudinal dynamics for electric commercial vehicles.
• The system demonstrates superior performance in braking efficiency, acceleration, and lateral stability.
• This approach offers a robust solution for addressing control challenges in modern electric vehicles.