GAO Yin-han, WANG Rui-bao, LI Bi-ruo, XIE Jun, YANG Kai-yu. Prediction of variation of inductive crosstalk in automotive cable bundles[J]. Editorial Office of Optics and Precision Engineering, 2011,19(5): 1088-1094
GAO Yin-han, WANG Rui-bao, LI Bi-ruo, XIE Jun, YANG Kai-yu. Prediction of variation of inductive crosstalk in automotive cable bundles[J]. Editorial Office of Optics and Precision Engineering, 2011,19(5): 1088-1094 DOI: 10.3788/OPE.20111905.1088.
Prediction of variation of inductive crosstalk in automotive cable bundles
In order to predict the variation of inductive crosstalk in the cable bundles as the automobile was in motion
both the prediction model of the inductive crosstalk of the best/worst cases and the amended model by Monte Carlo method were established. According to the extreme positions of wires in the cable bundles
the prediction intervals of the inductive crosstalk of the best/worst cases were defined. By using the Monte Carlo method
the mathematical expectation of the inductive crosstalk was obtained
and the confidence interval for the expectation was defined under the circumstance of 80% confidence level. Here
the confidence interval was the amended prediction interval. By comparison with the results from EMC Studio electromagnetic simulation software
it is shown that the cable bundle crosstalks in all selected positions are in the best/worst case interval and most of them are in the amended interval when the frequencies are lower than 5 MHz.The length of the amended interval has decreased by 40%. Moreover
the electrical dimensions tend to electrically large and the error also increases when the frequencies are higher than 5 MHz.It concludes that the both models are simple and convenient to predict the inductive crosstalk rapidly according to different accuracy requests.
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