Affiliations: [a]
School of Mechanical and Power Engineering, Henan Polytechnic University, Jiaozuo, P.R. China
| [b]
China North Vehicle Research Institute, Beijing, China
Correspondence:
[*]
Corresponding author. Shuaiwei Zhu, School of Mechanical and Power Engineering, Henan Polytechnic University, Jiaozuo 454000, Henan, Province, P.R. China; Tel.:/Fax: +086 183 0062 7168; ORCID: 0000-0003-4886-7749; E-mail: [email protected] and Xiaobin Fan, School of Mechanical and Power Engineering, Henan Polytechnic University, Jiaozuo 454000, Henan, Province, P.R. China; Tel.:/Fax: +086 150 3651-2985; ORCID: 0000-0002-7187-8377; E-mail: [email protected].
Note: [1] ORCID: 0000-0003-1610-3322.
Note: [2] ORCID: 0000-0002-7289-1354.
Abstract: Aiming at the problem that the current ABS control algorithm cann’t make full use of the ground braking force to complete the braking when the complex road surface is in emergency braking, the ABS sliding mode variable structure control method based on road surface identification is proposed. Combined with the in-wheel motor of in-wheel motor electric vehicle, a coordinated control method of motor hydraulic composite is designed. Based on the fuzzy logic control method, the road adhesion coefficient is estimated to realize the identification of typical roads and dynamically obtain the optimal slip rate of different roads. The ABS sliding mode variable structure controller is designed with the optimal slip ratio and the actual slip ratio as input, and the saturation function is used to replace the sign function in the traditional sliding mode variable structure control to weaken the ’ chattering ’ phenomenon in the sliding mode variable structure control, and then the ABS controller is designed. Taking the experimental prototype vehicle driven by four-wheel hub motor as the research object, an eight-degree-of-freedom dynamic simulation model of the whole vehicle is established. Compared with the traditional PID controller, the braking time is shortened by 0.2 s and the braking distance is shortened by 2.3 m, which shows the feasibility of the designed controller. Through the simulation braking experiment of the docking road, the adaptability and real-time performance of the ABS sliding mode controller are verified, and the importance of the road adhesion coefficient identification to the ABS controller is verified.
