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Motor Parametric Design Using an Electro-Hydraulic Model of a Brake System
Author(s) -
Seon-Yeol Oh,
Kyu-Yun Hwang,
Baik-Kee Song,
Sung-Il Kim
Publication year - 2022
Publication title -
ieee access
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.587
H-Index - 127
ISSN - 2169-3536
DOI - 10.1109/access.2022.3181616
Subject(s) - aerospace , bioengineering , communication, networking and broadcast technologies , components, circuits, devices and systems , computing and processing , engineered materials, dielectrics and plasmas , engineering profession , fields, waves and electromagnetics , general topics for engineers , geoscience , nuclear engineering , photonics and electrooptics , power, energy and industry applications , robotics and control systems , signal processing and analysis , transportation
Autonomous emergency braking (AEB) is one of the safety technologies of the integrated electronic brake (IEB) system and is critical to avoiding or mitigating vehicular collisions. In addition, a motor is a significant component of the IEB system for its actuation, and it greatly affects this system’s performance under AEB. Notably, the determination of the IEB system’s motor parameters without considering its performance under AEB will not satisfy its requirements, especially due to this system’s hydraulic and electric complexity. In addition, the IEB system motor’s dynamic characteristics have a significant impact on the AEB performance. They are also closely related to this motor’s parameters, such as flux-linkage, inductance, and resistance. Therefore, this research performs the IEB system’s motor parametric design corresponding to this system’s necessary performance under AEB, using a coupled simulation model composed of this system’s motor and hydraulic subsystems. First, the IEB system’s motor and hydraulic subsystems are modeled in MATLAB/Simulink and AMESim, respectively, and the coupled simulation of these subsystems is performed in Simulink using their models. Second, the respective ranges of the IEB system’s motor parameters corresponding to this system’s necessary performance under AEB are determined from the above-mentioned coupled simulation, and their corresponding motor is designed using a finite element analysis in ANSYS Maxwell. Third, the IEB system’s fabricated, parametric-designed motor is tested for standalone performance. Finally, the IEB system incorporated with the said parametric-designed motor is experimentally verified of its performance under AEB. Meanwhile, the respective simulated and experimental performances of the IEB system under AEB and its parametric-designed motor agree well. This agreement indicates that the IEB system’s motor parametric design presented in this research, based on this system’s coupled simulation model and finite element analysis on this model, is valid.

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