车身板面贡献量分析作为研究车身振动对车内噪声影响的重要内容，常用声学传递向量（acoustic transfer vector，ATV）仿真计算来实现。为了进一步探究车身振动对车内语音清晰度的影响，通过对语音清晰度客观参量与主观评价分值的比较，确定以非稳态加速工况下的语言可懂度指数（speech intelligibility index，SII）为指标，运用ATV仿真手段找出对语音清晰度影响最大的面板。分析结果显示车身顶棚面板对语音清晰度影响最大。针对分析结果，采用遗传算法搜寻和ATV逆运算仿真相结合的方法，有针对性地进行了车身顶棚阻尼敷设并加以验证。结果表明，基于语音清晰度车身板面贡献情况的优化设计，有效地改善了非稳态全油门加速工况下的车内语音清晰程度，提高了车内声音品质。
Abstract
As an important part of studying influence of auto body vibration on its interior noise, the analysis of auto body panel contribution is usually realized using acoustic transfer vector (ATV) simulation. Here, in order to further explore effects of vehicle body vibration on its interior speech intelligibility, objective parameters of speech intelligibility were compared with subjective evaluation scores to take the speech intelligibility index (SII) under unsteady acceleration condition as the evaluation index, and ATV simulation method was used to find out the panel having the maximum impact on speech intelligibility. The analysis results showed that the body roof panel has the maximum effect on speech intelligibility. Aiming at the analysis results, the method of combining genetic algorithm and ATV inverse operation simulation was used to perform targeted body roof damping and verify it. The results showed that the optimized design based on contribution of speech intelligibility of body panel can effectively improve the interior speech clarity under the unsteady full throttle acceleration condition, and improve the interior sound quality.
关键词
车身板面贡献量
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声学传递向量（ATV）计算 /
语音清晰度 /
语言可懂度指数（SII） /
遗传算法
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Key words
auto body panel contribution
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acoustic transfer vector (ATV) calculation /
speech intelligibility;speech intelligibility index (SII) /
genetic algorithm
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