主办：陕西省汽车工程学会
ISSN 1671-7988  CN 61-1394/TH
创刊：1976年
汽车实用技术

汽车实用技术 ›› 2025, Vol. 50 ›› Issue (6): 124-128138.DOI: 10.16638/j.cnki.1671-7988.2025.006.021

• 设计研究 • 上一篇    

重型商用车在线动态称重算法研究

申晓康，李孟阳，王智贤，刘佳麟，杨杰   

  1. 陕西重型汽车有限公司 汽车工程研究院
  • 发布日期:2025-03-26
  • 通讯作者: 申晓康
  • 作者简介:申晓康（1991－），男，硕士，工程师，研究方向为整车性能集成开发

Research on On-line Dynamic Weighing Algorithm for Heavy Commercial Vehicles

SHEN Xiaokang, LI Mengyang, WANG Zhixian, LIU Jialin, YANG Jie   

  1. Automotive Engineering Research Institute, Shaanxi Heavy Duty Automobile Company Limited
  • Published:2025-03-26
  • Contact: SHEN Xiaokang

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摘要： 重型商用车的重量估计对治理超载、车辆横纵向控制以及车辆动力经济性分析具有重 要意义。文章提出了一种无需增加加速度及坡度传感器的车辆在线动态称重算法。利用从控 制器局域网（CAN）总线采集到的数据识别车辆状态及道路工况，应用方差分析、箱线图分 析等数理统计方法，结合车辆动力学理论，开发基于有效行程的整车质量估计算法。仿真结 果表明，该算法在综合工况下的平均误差为 4.52%，具有计算精度高、鲁棒性强、适用场景 广的优点。

关键词: 重型商用车；动态称重；有效行程

Abstract: The weight estimation of heavy commercial vehicles is of great significance for overloading control, vehicle lateral and longitudinal control, and vehicle power economy analysis. This paper proposes an online dynamic weighing algorithm for vehicles without adding acceleration and slope sensors. By identifying the vehicle state and road conditions from the data collected from the controller area network (CAN) bus, and applying mathematical statistical methods such as variance analysis and box plot analysis, combined with vehicle dynamics theory, a vehicle mass estimation algorithm based on effective driving process is developed. The simulation results show that the average error of this algorithm under comprehensive working conditions is 4.52%, and it has the advantages of high calculation accuracy, strong robustness, and wide application scenarios.

Key words: heavy commercial vehicles; dynamic weighing; effective driving process