基于电机电磁噪声的电动汽车声品质MNLR预测方法

MNLR Prediction Method of Electric Vehicle Sound Quality Based on Motor Electromagnetic Noise

为研究电动汽车电机电磁噪声对车内声品质的影响,建立声品质预测模型。采用等级评分法对车内噪声进行主观评价,作为预测模型因变量,计算总体噪声A计权声压级、粗糙度、AI指数等客观参量,作为预测模型自变量,此外通过阶次分析和滤波法得到电磁噪声并计算其尖锐度等客观参量,亦作为一组自变量,构建多元非线性回归(multivariate nonlinear regression,MNLR)模型。仿真实验结果表明,MNLR模型的预测结果与主观评价结果具有较高一致性,电磁噪声尖锐度提升会恶化车内噪声环境,同时还会增强AI指数对人主观感受的影响。本文预测模型对声品质优化具有一定的指导意义。

To study the influence of electromagnetic noise of electric vehicle motor on the interior sound quality,a prediction model of sound quality was established.The objective parameters of the overall noise,such as SPL(A),roughness and AI index,were calculated as the independent varia-bles of the prediction model.In addition,the electromagnetic noise was obtained by order analysis and filtering method,and the objective parameters such as sharpness were calculated as a group of independent variables.A multivariate nonlinear regression(MNLR)model was constructed.The simulation results show that the prediction results of the MNLR model have high consistency with the subjective evaluation results.The increase of electromagnetic noise sharpness will worsen the noise environment inside the car,and at the same time will enhance the influence of AI index on people’s subjective feelings.The prediction model is significant for the optimization of sound quality.