Research on the Dynamic Integration Control for Distributed-Traction Electric Vehicle with Four-Wheel-Distributed Steering System Jilin University

Format:

Conference/Event

Author/Creator:

Wang, Wang, author.

Contributor:

Cheng, Cheng

Liu, Chen

Zheng, Hongyu

Zong, Changfu

Conference Name:

WCX World Congress Experience (2018-04-10 : Detroit, Michigan, United States)

Language:

English

Physical Description:

1 online resource

Place of Publication:

Warrendale, PA SAE International 2018

Summary:

AbstractWith rapid development of the automobile industry and the growing maturity of the automotive electronic technologies, the distributed-traction electric vehicle with four-wheel-distributed steering/braking/traction systems is regarded as an important development direction. With its unique chassis structure, it is the ideal benchmark platform used to evaluate active safety systems. The distributed-traction electric vehicle with four-wheel-distributed steering system is essentially full drive-by-wire vehicle. With its flexible chassis layout and high control degrees-of-freedom, the full drive-by-wire electric vehicle acted as a kind of redundant system is an ideal platform for the research of integrated control.In this treatise, the longitudinal dynamics of the electric vehicle as well as its lateral and yaw motions are controlled simultaneously. In the motion control layer, the total force and total torque of the vehicle motion control are obtained by using the sliding mode controller, and the elimination of chatter is achieved by using the terminal sliding mode control technique for the yaw motion control. In the tire force allocation layer, the axial load transfer issue is taking into consideration during the process of tire force distribution, and then, the optimal allocation problem is transformed into a quadratic programming issue with constraint. In the executive layer, the target tire force output from the tire force allocation layer are ultimately achieved by controlling the drive/braking torque of the wheel motor and the steering angle of steering motor. The results demonstrate the effectiveness of the designed controller and it is shown via the co-simulation that the proposed control algorithm can coordinating with drive and steering system better, in which the electric vehicle can track the target vehicle and ideal yaw rate

Notes:

Vendor supplied data

Publisher Number:

2018-01-0814

Access Restriction:

Restricted for use by site license