TY  - JOUR
PY  - 2022//
TI  - Sound quality evaluation of pure electric vehicle with subjective and objective unified evaluation method
JO  - International journal of vehicle design
A1  - Zhang, Xincheng
A1  - Cheng, Jing
A1  - Lu, JianWei
A1  - Yuan, Bo
A1  - Jiang, Ping
A1  - Sha, Wei
SP  - 283
EP  - 303
VL  - 88
IS  - 2/3/4
N2  - The focusing points of the sound quality of pure electric vehicle (PEV) usually depend on their operating condition. In this paper, a subjective and objective unified evaluation model for sound quality evaluation in PEV based on operating condition is proposed. Firstly, a hierarchical comparison method (HCM) is applied to subjectively evaluate the acoustic test results. Then, four psychoacoustic parameters and one evaluation index of pure tonal noise are used to objectively evaluate the noise sample. And the indicators used in different operating conditions are not the same. Finally, the sound quality evaluation models based on backpropagation neural network (BPNN) algorithm and the support vector machine (SVM) algorithm are established. The result shows that the larger the sample size, the more accurate are both models. However, when the sample size is insufficient, the accuracy of SVM model is better than the BPNN model.<p />  <p>Language: en</p>
LA  - en
SN  - 0143-3369
UR  - http://dx.doi.org/10.1504/IJVD.2022.127024
ID  - ref1
ER  -