汽车不均匀线束串扰特性预测的改进方法

针对线束的不均匀性及线束中导线间距的随机性，提出了一种采用统计学理论来预测不均匀线束串扰的方法。在弱耦合和电小尺寸的假设条件下，基于集总电路近似模型运用统计方法推导出了串扰电压比的期望值和方差，预测了最坏情况下的串扰。与273RDSI模拟仿真对比，验证了方法的合理性和可行性。最后分析了不同的导线数目和线束距地面高度的情况，结果表明：串扰的期望值和方差都会随导线数目的增加而降低；增大线束距地高度，期望值变大，而方差的变化不是很明显，说明方差对线束距地高度不是很敏感；随着导线数目的增加，期望对高度的变化更加敏感。

Prediction of crosstalk characterisation in cables bundles

Based on the heterogeneity of cable bundles and the randomness of wire spacing in cable bundles, this paper adopts the statistical theory to explore a method to predict the uneven cable bundle crosstalks. Under the assumption of electrically small and weak coupling, the mean value and standard deviation of the near end crosstalk voltage ratio are derived. 273RDSI numerical simulations are used to predict worst case crosstalk and to test the model effectiveness . The difference of the wire number and the bundles height from the ground are analyzed. The results indicate that for a given number of wires by increasing the bundle height the mean value increases, whereas the standard deviation is substantially independent of height. Moreover, the standard deviation decreases with the number of sections. By increasing the number of wires, both the mean value and the standard deviation decrease, whereas the sensitivity of the mean value to the bundle height increases.