基于三级线性传递的车载称重预测模型构建与实验验证

IF 0.5 4区工程技术 Q4 ENGINEERING, MECHANICAL

International Journal of Heavy Vehicle Systems Pub Date : 2023-01-01 DOI:10.1504/ijhvs.2023.134709

Huanbo Qiao, Hongxun Fu, Senyu Bi, Laiyun Ku, Yan Wang

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引用次数: 0

摘要

为了提高车载称重系统的精度，提出了一种基于三级线性传递的车载称重预测模型的构建方法。通过对不同类型钢板弹簧的有限元分析，验证了钢板弹簧在垂直方向上的载荷与变形之间的线性关系。基于板簧、软弹簧和平行梁传感器的三级线性传递关系，建立了承载质量与输出质量之间的关系，计算了单个板簧的承载质量，进而构建了整车称重预测模型。通过两种不同的试验方案对称重预测模型进行了求解和验证。结果表明，基于三级线性传递法的车载称重预测模型总体误差可控制在1%以内，满足JT/T 794-2019中车载称重误差不高于3%的要求。

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Construction and experimental verification of on-board weighing prediction model based on three-level linear transfer

In order to improve the accuracy of on-board weighing system, a construction method of on-board weighing prediction model based on three-level linear transfer is proposed. Through the finite element analysis of different types of leaf springs, the linear relationship between load and deformation in the vertical direction of leaf springs is verified. Based on the three-level linear transfer relationship of leaf spring, soft spring and parallel beam sensor, the relationship between bearing mass and output mass is established, the bearing mass of a single leaf spring is calculated, and then the whole vehicle weighing prediction model is constructed. The weighing prediction model is solved and verified through two different test schemes. The results show that the overall error of the on-board weighing prediction model based on the three-level linear transfer method can be controlled within 1%, which meets the requirement of on-board weighing error not higher than 3% in JT/T 794-2019.

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来源期刊

International Journal of Heavy Vehicle Systems 工程技术-工程：机械

CiteScore

1.30

自引率

0.00%

发文量

审稿时长

9 months

期刊介绍： IJHVS provides an authoritative source of information and an international forum in the field of on/off road heavy vehicle systems, including buses. It is a highly professional and refereed journal which forms part of the proceedings of the International Association for Vehicle Design. IAVD is an independent, non-profit, learned society which provides a forum for professionals in both industry and academic institutions to meet, exchange ideas and disseminate knowledge in the field of automotive engineering, technology, and management.