Review of Fault Diagnosis of PMSM Drive System in Electric Vehicles

被引：0

作者：

Zheng, Jianmin ^{[1
]}

Wang, Zhonghua ^{[1
]}

Wang, Dongxue ^{[1
]}

Li, Yueyang ^{[1
]}

Li, Meng ^{[1
]}

机构：

[1] Univ Jinan, Sch Elect Engn, Jinan 250022, Shandong, Peoples R China

来源：

PROCEEDINGS OF THE 36TH CHINESE CONTROL CONFERENCE (CCC 2017) | 2017年

关键词：

PMSM; Drive System; Fault Types; Fault Diagnosis; PERMANENT-MAGNET DEMAGNETIZATION; SYNCHRONOUS MACHINE; MOTORS; STATE;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Fault diagnosis is essential to guarantee the continuity and safety of the operation for Electric Vehicles (EVs). Permanent Magnet Synchronous Motor (PMSM) drive system as the key component of the EVs requires a robust and reliable system to detect and diagnosis various faults that may occur during operation. An undetected fault in the PMSM system may lead to high repair cost, or even catastrophic failure. Therefore, effective and timely fault diagnosis methods are greatly needed, which may realize the preventive maintenance for the PMSM drive system. In this paper, the types and fault diagnosis methods are summarized and compared. The PMSM fault diagnosis methods are divided into traditional and modern groups. The advantages, disadvantages of each method are reported. And the new directions are discussed based on previous work in the end.

引用

页码：7426 / 7432

页数：7

共 57 条

[1] DSP-Based Sensorless Electric Motor Fault-Diagnosis Tools for Electric and Hybrid Electric Vehicle Powertrain Applications [J].

Akin, Bilal ;

Ozturk, Salih Baris ;

Toliyat, Hamid A. ;

Rayner, Mark .

IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2009, 58 (06) :2679-2688

[2]

Arellano-Padilla J., 2008, INT C EL MACH, P1

[3] Sensorless Control of IPM Motors in the Low-Speed Range and at Stand-Still by HF-Injection and DFT Processing [J].

Bolognani, S. ;

Calligaro, S. ;

Petrella, R. ;

Tursini, M. .

2009 IEEE INTERNATIONAL ELECTRIC MACHINES & DRIVES CONFERENCE, VOLS 1-3, 2009, :1557-1564

[4]

Briz F., 2011, IEEE T IND APPL, V47, P96

[5] State-of-Charge Estimation for Lithium-Ion Batteries Using Neural Networks and EKF [J].

Charkhgard, Mohammad ;

Farrokhi, Mohammad .

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2010, 57 (12) :4178-4187

[6]

Chen M., 2014, ENCY AUTOMOTIVE ENG

[7] Design and evaluation of voltage measurement-based sectoral diagnosis method for inverter open switch faults of permanent magnet synchronous motor drives [J].

Choi, C. ;

Lee, W. .

IET ELECTRIC POWER APPLICATIONS, 2012, 6 (08) :526-532

[8]

Chow M. Y., MOTOR FAULT DETECTIO

[9] Rotor position and velocity estimation for a salient-pole permanent magnet synchronous machine at standstill and high speeds [J].

Corley, MJ ;

Lorenz, RD .

IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, 1998, 34 (04) :784-789

[10] Stator winding fault diagnosis in three-phase synchronous and asynchronous motors, by the Extended Park's Vector Approach [J].

Cruz, SMA ;

Cardoso, AJM .

IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, 2001, 37 (05) :1227-1233

← 1 2 3 4 5 6 →