Research On Vehicle Interior Sound Quality And Optimization Method

With the development of social economy and the continuous improvement of people's living standards,passenger cars have entered thousands of households.When people buy cars,in addition to the requirements for power,economy and safety,the requirements for the ride comfort of cars are getting higher and higher.In-vehicle noise quality has also received more and more attention as an important factor affecting ride comfort.In this paper,the car interior noise is taken as the research object to evaluate and analyze the sound quality problem.According to the results of sound quality evaluation and analysis,the acoustic environment of the car is designed,and then the sound quality active control technology is used to improve the noise quality inside the car.The specific research is summarized as follows:Firstly,the perceptual characteristics of the human auditory system were analyzed.The car noise samples were collected using B&K's 4100 D artificial head,B&K 3560 B data acquisition system and B&K.Pulse software.The subjective evaluation test of sound quality was completed by using the anchor-scaled scoring method.And use correlation and cluster analysis to test the resultsSecondly,the definition and calculation model of six sound quality parameters such as articulation index,loudness and so on are studied.The relevant parameters of in-vehicle noise samples are calculated by LMS Test.lab software.The sound quality evaluation model based on multiple linear regression,BP neural network and support vector machine are established respectively.The genetic algorithm is used to optimize the weight and threshold of BP neural network.When establishing a sound quality evaluation model based on support vector machines,compare and analyze the prediction capabilities of different kernel functions,and select particle swarm optimization to optimize the relevant parameters of the model.The accuracy and generalization ability of the three sound quality prediction models are compared and analyzed.Thirdly,the 30km/h,60km/h,90km/h and 120km/h conditions are used as analytical optimization conditions.Analyze the contribution of objective parameters of sound quality to subjective pleasure.Based on the results of the contribution analysis,use gray correlation analysis to convert the objective parameters of acoustic quality to the relevant parameters of gray.Subband division of vehicle interior noise samples under various operating conditions,with the maximum objective gray parameter correlation of sound quality as the optimization objective,optimizes the spectral characteristics of interior noise sub-bands,and determines the optimal frequency distribution of acoustic quality under each operating condition.Finally,the basic principle of active sound quality control algorithm is analyzed,and the related algorithms of active sound quality control are studied theoretically.In Matlab/Simulink environment,a twin-band wideband sound quality active control model is established,the optimal adaptive filter order and convergence factor are determined,and the control effects of different gain factors are studied.A hardware-in-the-loop simulation test platform for active control of sound quality was established,and the secondary sound channel in the test environment was identified using the offline method.Based on the developed active noise quality control strategy for vehicle interior noise,an active noise quality control model for vehicle interior noise was established,and simulation tests of active sound quality control for vehicle interior noise were performed under various operating conditions.