基于GA-BP的混合动力汽车匀速工况声品质预测模型
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摘要
为快速准确评价混合动力汽车车内声品质,在分析BP神经网络和遗传算法(GA)特点的基础上,利用遗传算法对BP神经网络的权值和阈值进行优化,从而建立GA-BP的混合动力汽车声品质客观评价模型。利用此模型进行混合动力汽车匀速工况车内声品质预测后,把GA-BP模型预测结果与多元线性回归模型和传统BP神经网络模型预测结果进行比较。对比结果显示GA-BP模型预测结果精度最高。证明所建立的GA-BP声品质预测模型的有效性,说明该模型较适用于混合动力汽车车内声品质预测。
In order to quickly and accurately evaluate the sound quality of hybrid electric vehicle(HEV), after analyzing the BP neural network and genetic algorithm(GA) characteristics, GA-BP sound quality objective evaluation model of HEV was established through using genetic algorithm to optimize the weights and thresholds of BP neural network. Using this model, the sound quality of HEV in constant speed working conditions is predicted. The prediction results of GA-BP model are compared with the results of multiple linear regression model and traditional BP neural network model. The results show that the GA-BP model has the best effect. At the same time, it proves the effectiveness of the GA-BP model, which indicates that the model is suitable for predicting the interior sound quality of HEV.
In order to quickly and accurately evaluate the sound quality of hybrid electric vehicle(HEV), after analyzing the BP neural network and genetic algorithm(GA) characteristics, GA-BP sound quality objective evaluation model of HEV was established through using genetic algorithm to optimize the weights and thresholds of BP neural network. Using this model, the sound quality of HEV in constant speed working conditions is predicted. The prediction results of GA-BP model are compared with the results of multiple linear regression model and traditional BP neural network model. The results show that the GA-BP model has the best effect. At the same time, it proves the effectiveness of the GA-BP model, which indicates that the model is suitable for predicting the interior sound quality of HEV.
引文
[1]赵彤航,卢炳武,曹蕴涛.混合动力轿车振动噪声控制技术[J].吉林大学学报(工学版),2012,42(6):1373-1377.
[2]LIAO L Y,ZUO Y Y,LIAO X H.Study on hybrid electric vehicle noise and vibration reduction technology[J].Advanced Materials Research,2013,764:141-148.
[3]JEONG J E,YANG I H,ABU A B,et al.Development of a new sound quality metric for evaluation of the interior noise in a passenger car using the logarithmic mahalanobis distance[C]//Proceedings of the Institution of Mechanical Engineers,Part D:Journal of Automobile Engineering,2013,227(10):1363-1376.
[4]YOON J H,YANG I H,JEONG J E,et al.Reliability improvement of a sound quality index for a vehicle HVACsystem using a regression and neural network model[J].Applied Acoustics,2012,73:1099-1103.
[5]MOSQUERA-SáNCHEZ J A,OLIVEIRA D,LEOPOLDO PR.A multi-harmonic amplitude and relative-phase controller for active sound quality control[J].Mechanical Systems and Signal Processin g,2013,45(2):542-562.
[6]WANG Y S,SHEN G Q,GUO H,et al.Roughness modelling based on human auditory perception for sound quality evaluation of vehicle interior noise[J].Journal of Sound and Vibration,2013,332:3893-3904.
[7]WANG Y S,SHEN G Q,XING Y F.A sound quality model for objective synthesis evaluation of vehicle interior noise based on artificial neural network[J].Mechanical Systems and Signal Processing,2013,45(1):255-266.
[8]徐中明,周小林,张芳,等.Moore响度在车内噪声分析中的应用[J].振动与冲击,2013,32(1):169-173.
[9]徐中明,夏小均,贺岩松,等.汽车发动机启动声品质评价与分析[J].振动与冲击,2014,33(11):142-147.
[10]黄海波,李人宪,黄晓蓉,等.基于Adaboost算法的车内噪声声品质预测[J].汽车工程,2016,38(9):1120-1125.
[11]胡腾,陆益民.电动汽车声品质的评价分析及建模[J].汽车技术,2016(3):26-30.
[12]钟秤平,陈剑,汪念平.车内噪声声品质偏好性评价与分析实验研究[J].汽车工程,2008,30(1):40-43.
[13]毛东兴.车内声品质主观评价与分析方法的研究[D].上海:同济大学,2003.
[14]付晓明,王福林,尚家杰.基于多子代遗传算法优化BP神经网络[J].计算机仿真,2016,33(3):258-263.
[2]LIAO L Y,ZUO Y Y,LIAO X H.Study on hybrid electric vehicle noise and vibration reduction technology[J].Advanced Materials Research,2013,764:141-148.
[3]JEONG J E,YANG I H,ABU A B,et al.Development of a new sound quality metric for evaluation of the interior noise in a passenger car using the logarithmic mahalanobis distance[C]//Proceedings of the Institution of Mechanical Engineers,Part D:Journal of Automobile Engineering,2013,227(10):1363-1376.
[4]YOON J H,YANG I H,JEONG J E,et al.Reliability improvement of a sound quality index for a vehicle HVACsystem using a regression and neural network model[J].Applied Acoustics,2012,73:1099-1103.
[5]MOSQUERA-SáNCHEZ J A,OLIVEIRA D,LEOPOLDO PR.A multi-harmonic amplitude and relative-phase controller for active sound quality control[J].Mechanical Systems and Signal Processin g,2013,45(2):542-562.
[6]WANG Y S,SHEN G Q,GUO H,et al.Roughness modelling based on human auditory perception for sound quality evaluation of vehicle interior noise[J].Journal of Sound and Vibration,2013,332:3893-3904.
[7]WANG Y S,SHEN G Q,XING Y F.A sound quality model for objective synthesis evaluation of vehicle interior noise based on artificial neural network[J].Mechanical Systems and Signal Processing,2013,45(1):255-266.
[8]徐中明,周小林,张芳,等.Moore响度在车内噪声分析中的应用[J].振动与冲击,2013,32(1):169-173.
[9]徐中明,夏小均,贺岩松,等.汽车发动机启动声品质评价与分析[J].振动与冲击,2014,33(11):142-147.
[10]黄海波,李人宪,黄晓蓉,等.基于Adaboost算法的车内噪声声品质预测[J].汽车工程,2016,38(9):1120-1125.
[11]胡腾,陆益民.电动汽车声品质的评价分析及建模[J].汽车技术,2016(3):26-30.
[12]钟秤平,陈剑,汪念平.车内噪声声品质偏好性评价与分析实验研究[J].汽车工程,2008,30(1):40-43.
[13]毛东兴.车内声品质主观评价与分析方法的研究[D].上海:同济大学,2003.
[14]付晓明,王福林,尚家杰.基于多子代遗传算法优化BP神经网络[J].计算机仿真,2016,33(3):258-263.