Knee room suggestions for passenger vehicles based on Chinese body measurements and knee point polynomial curves

Xinling Zhang, Hanxue Cao, Bin Jiang, Muchen Ma
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Abstract

The amount of knee room provided for a driver is thoroughly considered during automobile design. An inappropriate design affects not only the driver’s comfort but also the frontal impact score. However, at present, the design standard for a driver’s knee room for the people of China is still lacking, which makes it difficult for engineers to prevent associated problems and can even seriously affect drivers’ comfort. By focusing on the driving postures of the people of China in passenger cars, the spatial curves of drivers’ knee rooms suitable for 95th, 50th and 5th percentiles of the Chinese population are investigated in this study based on polynomial machine learning algorithms. The curves change during driving and are stretched into surfaces, which are known as the limit surfaces of the knee room, to limit the component design around the knee, thereby improving the driver’s comfort. The limit surfaces of the knee rooms studied in this article fill the gap in the non-standardized design of knee rooms for passenger vehicles and are highly valuable in commerce.
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基于中国人体测量和膝点多项式曲线的乘用车膝部空间建议
在汽车设计过程中,要充分考虑为驾驶员提供的膝部空间。不恰当的设计不仅会影响驾驶员的舒适性,还会影响正面碰撞得分。然而,目前针对中国人的驾驶员膝部空间设计标准还很缺乏,这使得工程师们很难预防相关问题的发生,甚至会严重影响驾驶员的舒适性。本研究以中国人的乘用车驾驶姿势为中心,基于多项式机器学习算法,研究了适合中国人口第 95、50 和 5 百分位数的驾驶员膝部空间曲线。这些曲线在驾驶过程中会发生变化,并被拉伸成曲面,即膝部空间的极限曲面,以限制膝部周围的部件设计,从而提高驾驶员的舒适性。本文研究的膝部空间极限曲面填补了乘用车膝部空间非标准化设计的空白,具有很高的商业价值。
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