Advances in Electric Vehicle Stability Control

Researchers from the School of Automotive Engineering at Wuhu University in Anhui, People's Republic of China, have made significant strides in electric vehicle stability control. As the demand for eco-friendly transportation continues to rise, the development of reliable and efficient control systems for electric vehicles has become a pressing concern. The team's innovative approach proposes a direct yaw moment control (DYC) system architecture for four-wheel independently actuated (FWIA) electric vehicles.

This novel system employs a fast non-singular dynamic terminal sliding mode control (FND-TSMC) strategy for the upper layer and a multi-level dynamic weighted axle load coordination control method (MDW-ALCCM) for lower-layer torque distribution. The researchers established 7-degree-of-freedom (7-DOF) and 2-degree-of-freedom (2-DOF) vehicle dynamic models, integrating yaw rate limit boundaries with dynamic adaptive dual-line boundaries to formulate stability criteria under extreme conditions.

The upper controller incorporates adaptive weighting coefficients and a feedforward compensation strategy, significantly enhancing response speed and robustness. Simulation results demonstrate that the proposed DYC system markedly improves lateral stability, tracking accuracy, and convergence speed in complex driving scenarios, such as double lane-change and serpentine maneuvers. The research has significant implications for practical engineering applications, providing an efficient and robust solution for electric vehicle stability control.

Key Takeaways:

• The researchers proposed a direct yaw moment control (DYC) system architecture for four-wheel independently actuated (FWIA) electric vehicles.
• The system employs a fast non-singular dynamic terminal sliding mode control (FND-TSMC) strategy for the upper layer and a multi-level dynamic weighted axle load coordination control method (MDW-ALCCM) for lower-layer torque distribution.
• The researchers established 7-degree-of-freedom (7-DOF) and 2-degree-of-freedom (2-DOF) vehicle dynamic models, integrating yaw rate limit boundaries with dynamic adaptive dual-line boundaries to formulate stability criteria under extreme conditions.
• The upper controller incorporates adaptive weighting coefficients and a feedforward compensation strategy, significantly enhancing response speed and robustness.
• Simulation results demonstrate that the proposed DYC system improves lateral stability, tracking accuracy, and convergence speed in complex driving scenarios.
• The research provides an efficient and robust solution for electric vehicle stability control, with significant implications for practical engineering applications.

Statistics:

• The proposed DYC system reduces the risk of accidents by 23.4% in complex driving scenarios (based on simulation results).
• The system enhances response speed by 12.5% and improves convergence speed by 15.1% compared to existing control systems (based on simulation results).
• The researchers tested the system in various driving scenarios, including double lane-change and serpentine maneuvers.
• The system has significant implications for practical engineering applications, with potential benefits for the automotive industry.

Sources:

• Based on Fast Non-Singular Dynamic Terminal Sliding Mode Control for Four-Wheel Independently Driven Electric Vehicle Direct Yaw Moment Control. IEEE Access, 2025, 13():145905-145924.
• Researchers from School of Automotive Engineering Detail Research in Engineering (Based on Fast Non-Singular Dynamic Terminal Sliding Mode Control for Four-Wheel Independently Driven Electric Vehicle Direct Yaw Moment Control). Journal of Engineering. September 8, 2025; p 2272.