Paper Info
Title
Coordinated Control Algorithm of a Dual Motor for an Electric Variable Transmission Hybrid System
Abstract
With the successful application of the electric variable transmission hybrid system, the dynamic quality of electric variable transmission (EVT) has received significant attention. The dual motor integrated by the EVT plays a vital role in riding comfort during mode shifting. Therefore, it is of great significance to study the coordinated control algorithm of the dual motor for improving driving comfort. However, current research on single motor torque compensation indicates that the poor accuracy of the compensation torque affects the coordinated control performance. In this paper, a dual motor coordinated control algorithm for the EVT is presented to solve the problem of shock in the mode transition, which is from the electric starting mode to the engine starting mode. First, the lever analogy is used to analyze the cause of the shock during this mode shifting. Then, the coordinated control algorithm of the dual motor is designed, in which the first motor MG1 adopts compounded feedforward and feedback control and the second motor MG2 adopts the torque compensation based on the engine torque estimation algorithm. Finally, the EVT system model and its dynamic coordination control algorithm model are built in the Simulink environment. The simulation results demonstrate that the presented control algorithm markedly reduces the shock of the mode shifting process. When applied in an actual driving cycle, the coordinated control algorithm proposed in this paper performs well, thus improving the dynamic quality of the EVT system.
Year
DOI
Venue
2018
10.1109/ACCESS.2018.2851559
IEEE ACCESS
Keywords
Field
DocType
Electric variable transmission,hybrid system,dual motor,coordinated control algorithm
Electric shock,Continuously variable transmission,Torque,Control theory,Computer science,Lever,Hybrid system,System model,Feed forward,Driving cycle,Distributed computing
Journal
Volume
ISSN
Citations 
6
2169-3536
0
PageRank 
References 
Authors
0.34
0
6
Name
Order
Citations
PageRank
Xiaohua Zeng1495.04
Yue Wang2960143.63
Dafeng Song300.34
Liyan Zhu400.34
Guangdong Tian515813.86
Zhi Wu Li647038.43