Model Predictive Controller-Based Optimal Slip Ratio Control System for Distributed Driver Electric Vehicle
Joint Authors
Li, Qingxian
Liu, Liangjiang
Yuan, Xiaofang
Source
Mathematical Problems in Engineering
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-04-29
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Abstract EN
The slip ratio control is an important research topic in in-wheel-motored electric vehicles (EVs).
Traditional control methods are usually designed for some specified modes.
Therefore, the optimal slip ratio control cannot be achieved while vehicles work under various modes.
In order to achieve the optimal slip ratio control, a novel model predictive controller-based optimal slip ratio control system (MPC-OSRCS) is proposed.
The MPC-OSRCS includes three parts, a road surface adhesion coefficient identifier, an operation mode recognizer, and an MPC based-optimal slip ratio control.
The current working road surface is identified by the road surface adhesion coefficient identifier, and a modified recursive Bayes theorem is used to compute the matching degree between current road surfaces and reference road surfaces.
The current operation state is recognized by the operation mode recognizer, and a fuzzy logic method is applied to compute the matching degree between actual operation state and reference operation modes.
Then, a parallel chaos optimization algorithm (PCOA)-based MPC is used to achieve the optimal control under various operation modes and different road surfaces.
The MPC-OSRCS for EV is verified on simulation platform and simulation results under various conditions to show the significant performance.
American Psychological Association (APA)
Li, Qingxian& Liu, Liangjiang& Yuan, Xiaofang. 2020. Model Predictive Controller-Based Optimal Slip Ratio Control System for Distributed Driver Electric Vehicle. Mathematical Problems in Engineering،Vol. 2020, no. 2020, pp.1-15.
https://search.emarefa.net/detail/BIM-1200873
Modern Language Association (MLA)
Li, Qingxian…[et al.]. Model Predictive Controller-Based Optimal Slip Ratio Control System for Distributed Driver Electric Vehicle. Mathematical Problems in Engineering No. 2020 (2020), pp.1-15.
https://search.emarefa.net/detail/BIM-1200873
American Medical Association (AMA)
Li, Qingxian& Liu, Liangjiang& Yuan, Xiaofang. Model Predictive Controller-Based Optimal Slip Ratio Control System for Distributed Driver Electric Vehicle. Mathematical Problems in Engineering. 2020. Vol. 2020, no. 2020, pp.1-15.
https://search.emarefa.net/detail/BIM-1200873
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1200873