A hierarchical energy efficiency optimization control strategy for distributed drive electric vehicles. (February 2019)

• Record Type: Journal Article
• Authors: Hua, Min; Chen, Guoying; Zhang, Buyang; Huang, Yanjun
• Is Part Of: Proceedings of the Institution of Mechanical Engineers. Volume 233:Number 3(2019:Mar.)
• Page Start: 605
• Page End: 621
• Publication Date: 2019-02
• Subjects: Distributed drive electric vehicle -- in-wheel motor -- sliding mode control -- optimal energy efficiency control -- motor efficiency map; Mechanical engineering -- Congresses; Transportation engineering -- Congresses; 629.2
• DOI: 10.1177/0954407017751788
• Languages: English
• ISSNs: 0954-4070

Abstract

Distributed drive electric vehicle with four in-wheel motors is widespread with various characteristics, such as performance potentials for independent wheel drive control and energy efficiency. However, in future, one of the biggest obstacles for its success in the automotive industry would be its limited energy storage. This paper proposes a hierarchical control method that involves a high-level motion controller that uses sliding mode control to calculate the total desired force and yaw moment and a low-level allocation controller in which an optimal energy-efficient control allocation scheme is presented to provide optimally distributed torques of four in-wheel motors in all the normal cases. A practicable motor energy efficiency model as a motor actuator is proposed by incorporating the electric motor efficiency map based on measured data into the motor efficiency experiment and a current closed-loop motor model. Moreover, both tracking performance and energy-saving are carried out in this research and evaluated via a co-simulation approach using MATLAB/Simulink and CarSim. A ramp maneuver at a constant speed and New European Driving Cycle and Urban Dynamometer Driving Schedule maneuvers have been conducted. To conclude, it is demonstrated that distributed drive electric vehicle with four in-wheel motors can reduce total power consumption and enhance tracking performance compared with a simple control allocation in which the torques are the fixed ratio distribution.