Adaptive Stability Control Based on Sliding Model Control for BEVs Driven by In-Wheel Motors

Pingshu Ge, Lie Guo (), Jindun Feng and Xiaoyue Zhou
Additional contact information
Pingshu Ge: College of Mechanical & Electronic Engineering, Dalian Minzu University, Dalian 116600, China
Lie Guo: School of Automotive Engineering, Dalian University of Technology, Dalian 116024, China
Jindun Feng: School of Automotive Engineering, Dalian University of Technology, Dalian 116024, China
Xiaoyue Zhou: School of Automotive Engineering, Dalian University of Technology, Dalian 116024, China

Sustainability, 2023, vol. 15, issue 11, 1-17

Abstract: High-speed and complex road conditions make it easy for vehicles to reach limit conditions, increasing the risk of instability. Consequently, there is an urgent need to solve the problem of vehicle stability and safety. In this paper, adaptive stability control is studied in BEVs driven by in-wheel motors. Based on the sliding model algorithm, a joint weighting control of the yaw rate and sideslip angle is carried out, and a weight coefficient is designed using a fuzzy algorithm to realize adaptive direct yaw moment control. Next, optimal torque distribution is designed with the minimum sum of four tire load rates as the optimization objective. Then, combined with the road adhesion coefficient and the maximum motor torque constraint, the torque distribution problem is transformed into a functionally optimal solution problem with constraints. The simulation results show that the direct yaw moment controller based on the adaptive sliding mode algorithm has a good control effect on the yaw rate and sideslip angle, and it can effectively improve vehicle adaptive stability control. In the optimal torque distributor based on road surface recognition, the estimated error of road adhesion is within 10%, and has a greater margin to deal with vehicle instability, which can effectively improve vehicle adaptive stability control.

Keywords: new energy vehicle; vehicle stability control; direct yaw moment control; torque distribution; sliding model control (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
References: View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
https://www.mdpi.com/2071-1050/15/11/8660/pdf (application/pdf)
https://www.mdpi.com/2071-1050/15/11/8660/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:15:y:2023:i:11:p:8660-:d:1156834

Access Statistics for this article

Sustainability is currently edited by Ms. Alexandra Wu

More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().