Forecasting Model and Affecting Factors of Sound Quality on Electric Vehicles with Low Speed

来源 :2018中国汽车工程学会年会 | 被引量 : 0次 | 上传用户:michael_CL
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  Sound parameters of psychological subject evaluation in the car are measured and calculated on electric car with low speed,using neural network(NN)method forecasting model on sound quality is built and model parameters affecting calculation accuracy and efficiency is researched.All relative errors of prediction using NN method are smaller,and they are no more than 9.00# and changing curve of relative error is flat,and that learning rate in the range of 0.40 to 0.80,and implying layer number of 4,7,11 and 13 and accelerating rate from 0.10 to 0.85 is well available.Recycling times and relative error has regular with the increase of learning rate,and they change just like shapes of saw tooth with the increase of implying layer number,and recycling times begin to decrease slowly and then rise steeply with the increase of accelerating rate,and relative error decreases at the beginning with the increase of accelerating rate and then rises.The forecasting model is applied to some type electric car,and it is found that the one-cylinder engine of the increasing program electric car is the most contribution source and development effect is very good.
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