第19卷
第5期
2011年5月
文章编号
1004-924X(2011)05-1088-07
光学精密工程
Optics and Precision Engineering
汽车线束电感性串扰动态变化的预测
高印寒1，王瑞宝2.3，李碧若3.4，谢军5，杨开宇1*
Vol.19No.5
May 2011
（1.吉林大学测试科学实验中心，吉林长春130022;2.吉林大学仪器科学与电气工程学院，吉林长春130022 3.中国人民解放军92571部队，海南三亚572021;4.海军工程大学兵器新技术应用研究所，湖北武汉430033；
5.空军航空大学特种专业系，吉林长春130022)
摘要：为了预测汽车运动时其线束的电感性串扰动态变化，建立了线束的电感性申扰最好、最差情况预测模型和蒙特卡罗方法改进模型。根据导线在线束内几何布置的极限位置，得到电感性串扰的最好、最差情况预测区间；基于蒙特卡罗法得到电感性审扰数学期望值，在80%置信水平下求得期望值的置信区间，置信区间即为改进的预测区间。与EMCStudio仿真软件结果的比较显示，低于5MHz时，所选位置的线束串扰都在长度为5dB最好、最差测区间内，多数位置线束串扰在长度为3dB蒙特卡罗改进区间内，改进的预测区间缩小了40%；高于5MHz时，电尺寸趋于电大，误差变大，建立的两
个汽车线束电感性串扰预测模型能够根据不同精度要求快速预测电感性申扰动态变化。关键调：电感性串扰；汽车线束；电磁兼容：蒙特卡罗法
中图分类号：TM934.4
文献标识码：A
doi:10.3788/OPE.20111905.1088
Predictionofvariationofinductivecrosstalk
inautomotivecablebundles
GAO Yin-han', WANG Rui-bao"-, LI Bi-ruo".^, XIE Jun°, YANG Kai-yu(1.Centerof Test Science,JilinUniversity,Changchun130022,China:
2.Collegeof Instrumentation&ElectricalEngineering,JilinUniversity,Changchun130022,China;
3.Unit 92571 of the Chinese Peoples Liberation Army, Sanya 572021, China;4.Research Institute of New WeaponryTechnology&Application,Naual UniversityofEngineering,Wuhan430033,China:
5.Special InformationDepartment,AviationUniversity ofAirForce,Changchun130022,China)
Correspondingauthor,E-mail:yangky@jlu.edu.cn
Abstract: 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 a-mended 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 8o % confidence level. Here, the confidence interval was the amended prediction interval, By compari-
收稿日期：2011-02-28；修订日期：2011-04-08.
基金项目：高等学校博士学科点专项科研基金资助项目（No.20050183019)；吉林省科技发展计划则资助项目（No.
20080532)