Integration of in-wheel motor sensorless systems and hierarchical direct yaw moment control for distributed drive electric vehicles

• Published in: Engineering applications of artificial intelligence Vol. 139; p. 109600
• Main Authors: Wang, Xiaodong, Ran, Maoping, Zhou, Xinglin
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.01.2025
• Subjects: Composite nonlinear feedback sliding mode controller; Distributed drive electric vehicle; Fuzzy adaptive hybrid sliding mode yaw moment control; Integrated control; Permanent magnet synchronous motor sensorless system; Unscented kalman filter; Fuzzy adaptive hybrid sliding mode yaw moment control; Composite nonlinear feedback sliding mode controller; Unscented kalman filter; Permanent magnet synchronous motor sensorless system; Distributed drive electric vehicle; Integrated control
• ISSN: 0952-1976
• DOI: 10.1016/j.engappai.2024.109600

Ensuring robust and reliable control of distributed vehicles powered by in-wheel motor systems poses a significant challenge due to the harsh operating environments and high costs of such motor systems. Poor motor control, parameter variations, and sensor malfunction under these conditions can compromise the vehicle yaw stability. Integrating permanent magnet synchronous motor (PMSM) sensorless systems with vehicle yaw moment control offers a cost-effective solution for this issue without wheel angular speed sensors while enhancing yaw stability. In this paper, a composite nonlinear feedback sliding mode controller that can enhance the PMSM speed response is proposed. The proposed scheme exhibits a rotor speed overshoot and transient time of only 0.64% and 0.07s, respectively, which are smaller and shorter compared with other methods under motor parameter changes. Subsequently, the key states and tire-road friction coefficients required for vehicle control were estimated using sensorless rotor speeds and unscented Kalman filters, enabling the integration of the PMSM sensorless system with the vehicle yaw moment control. Additionally, a fuzzy adaptive hybrid sliding mode method is presented for yaw moment control enhancement. This method maintained the smallest sideslip angle root mean square error during double lane changes (0.4192 deg) compared with other methods. Analysis results show that different motor controllers and parameter changes significantly affect the vehicle dynamics performance. The proposed integrated scheme is feasible and effectively enhances the yaw moment control via high-performance sensorless PMSM systems.