吉林大学学报(工学版) ›› 2018, Vol. 48 ›› Issue (1): 281-289.doi: 10.13229/j.cnki.jdxbgxb20161343

• Orginal Article • Previous Articles     Next Articles

Electromagnetic susceptibility assessment of electronic throttle based on Bayesian network

SUN Xiao-ying, WANG Zhen, YANG Jin-peng, HU Ze-zheng, CHEN Jian   

  1. College of Communication and Engineering, Jilin University, Changchun 130022, China
  • Received:2016-10-10 Online:2018-02-26 Published:2018-02-26

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Abstract: A modeling and parameter determining method is proposed based on Bayesian Networks (BN) for electronic throttle susceptibility assessment of Intentional Electromagnetic Interference (IEMI). This method can remedy the deficiencies of susceptibility assessment based on effect test. First, according to the structure of electronic throttle control system, the Fault Tree (FT) model is built. The coupling of the system with IEMI is analyzed using Electromagnetic Topology (EMT). Then, the BN assessment model is built to integrate the FT and EMT, and the probability acquiring of BN nodes is discussed. As data input of assessment model, the susceptibilities of components are tested with pulse voltage injection, and the Electromagnetic Stress (EMS) of the components is simulated using CST CABLE STUDIO. Finally, the electronic throttle susceptibility assessment against High-altitude Electromagnetic Pulse (HEMP) is taken as an example to illustrate the modeling and probability calculation process, which verify the effectiveness of the BN based assessment model.

Key words: communication technology, systematic evaluation and feasibility analysis, intentional electro-magnetic interference (IEMI), high-altitude electro-magnetic pulse (HEMP), engine electronic throttle, susceptibility assessment, Bayesian networks

CLC Number: 

  • N945.17
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