Fault Diagnosis Research for Electrical Starting System of Hybrid Electric Vehicle Based on Wavelet Transform

Abstract:

The non-stationary characteristics of starting motor’s current can effectively reflect the faults of vehicle’s electrical starting system. Taking the working current of starting motor as original signal, the signal’s singular points were detected by wavelet transforming. And through comparing the singularity characteristics with normal state, the common faults of starting system were identified accurately. The practical application to a certain type of hybrid electric vehicle shows that the proposed method based on wavelet singularity analysis can effectively extract the key characteristics of starting current signal and realize the identification of electric starting system’s common faults.

• Periodical: Advanced Materials Research (Volumes 512-515)
• Pages: 2633-2637
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.512-515.2633
• Online since: May 2012
• Authors: Wei Wei, Zhen Ming Peng, Zong Ping Zhu, Jing Song Rao, Cheng Lu, Shu Xian He
• Keywords: Electrical Starting System, Fault Diagnosis, Hybrid Electric Vehicle (HEV), Singularity Detection, Wavelet Transform (WT)

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