To overcome global warming caused by air pollution and carbon dioxide, the automotive industry is responding to changes in the market by developing electric vehicles. Among the various types of electric vehicles, an in-wheel motor (IWM) is regarded as a suitable solution for future drive train architecture owing to its simple structure, high efficiency, and good space availability. Through the analysis of various IWM noise sources, the 8th and 16th orders, which are less than 250 ㎐ are selected as the subjects to reduce using the ANC application technology. A multi-correlation, optimal filter, and secondary noise path analysis are conducted. Moreover, a time frequency-filtered least mean square algorithm is adapted. Four accelerometers and six speaker positions are chosen through the optimization of ANC. With ANC technology, the 8th and 16th noise are reduced by 20 ㏈A and the overall noise is successfully reduced by 6 to 8 ㏈A, respectively.
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Lee et al. (2024) studied this question.
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