Design of Pure Electric Vehicle Training Platform and Development of Fault Diagnosis System
Journal: Architecture Engineering and Science DOI: 10.32629/aes.v3i2.898
Abstract
The main purpose of the researched pure electric vehicle fault diagnosis system is to be used for electric vehicle fault diagnosis and maintenance. The experimental bench integrates pure electric vehicle fault diagnosis and fault point setting. With more advanced fault diagnosis algorithms, it can not only solve the limitations of pure electric vehicles such as untimely diagnosis of hidden faults, slow fault diagnosis, and low diagnosis accuracy, but also improve the efficiency of fault diagnosis and processing of electric vehicles.
Keywords
pure electric vehicle, troubleshooting efficiency
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[1] Jiang Minglei. Development Trend of Automobile Fault Diagnosis Technology[J].China New Technology and New Products, 2010(9):102-102.
[2] Liu Wei. Research on fault detection and diagnosis technology of electric vehicle drive system[J]. Technology Wind, 2016(16):1-1.
[3] Shi Wenjie. Design and research of fault diagnosis function of a certain type of pure electric vehicle [D]. Hefei University of Technology, 2015.
[4] Gold Gold. Research on fault diagnosis technology of permanent magnet synchronous motor of electric vehicle based on injection method [D]. Harbin Institute of Technology, 2019.
[5] Tian Ye. Development of remote monitoring, calibration and diagnosis system for electric vehicles [D]. Jilin University, 2013.
[6] Zhang Xiaoxue. Application of granular computing in fault diagnosis of electric vehicles [D]. Hefei University of Technology, 2014.
[2] Liu Wei. Research on fault detection and diagnosis technology of electric vehicle drive system[J]. Technology Wind, 2016(16):1-1.
[3] Shi Wenjie. Design and research of fault diagnosis function of a certain type of pure electric vehicle [D]. Hefei University of Technology, 2015.
[4] Gold Gold. Research on fault diagnosis technology of permanent magnet synchronous motor of electric vehicle based on injection method [D]. Harbin Institute of Technology, 2019.
[5] Tian Ye. Development of remote monitoring, calibration and diagnosis system for electric vehicles [D]. Jilin University, 2013.
[6] Zhang Xiaoxue. Application of granular computing in fault diagnosis of electric vehicles [D]. Hefei University of Technology, 2014.
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