应用于车辆质心测量的改进侧倾法

doi:10.13229/j.cnki.jdxbgxb.20230621

摘要/Abstract

摘要：

应用侧倾法进行汽车质心位置测量时，会出现轮胎受力点计算不准确、车辆侧倾大等问题，本文提出改进侧倾法。在应用改进侧倾法进行车辆质心位置测量时，轮胎受力方向始终竖直向上，不需额外设计轮荷称重装置，可以减小摩擦力等不利因素的影响。为使改进侧倾法中支承板始终保持水平，采用平行四边形机构对其进行约束。根据静力与力矩平衡，建立改进侧倾法的车辆质心测量计算模型，采用数值模拟手段，对系统关键部件进行校核，并对测量过程进行数值模拟分析。研究表明：改进侧倾法设计的平行四边形机构和测试台框架的刚度和强度可以满足安全性要求；在车辆质心位置确定过程中，改进侧倾法车辆的转动角度会较传统测试方法小，所测质心位置精度高且试验安全性好。

关键词: 车辆, 质心测量, 改进侧倾法, 数值模拟, 转动角度

Abstract:

When measuring the position of vehicle mass center by Tilting Method（TM）， there would be some problems such as inaccurate calculation of tire force point and large tilting of the vehicle， so Improved Tilting Method（ITM） is proposed in this paper. In the process of measuring the position of vehicle mass center by ITM， the force direction of the tire is always straight up， which does not need to design additional wheel load weighing device and can reduce the influence of adverse factors such as friction. In order to keep the supporting plates horizontal， a parallelogram mechanism is used to constrain them. Based on the balance of static force and moment， the calculation model of ITM is established. By means of numerical simulation， the key components of the system were verified and the measurement process was simulated. The results show that the stiffness and strength of parallelogram mechanism and test bench frame meet the safety requirements. To determine the vehicle mass center， the vehicle titling angle by ITM is smaller than that by TM， which means that ITM can supply higher precision and better experiment safety.

Key words: vehicle, mass center measurement, improved tilting method, numerical simulation, tilting angle

中图分类号:

TH39

李任君,赵一兵,顾莉栋,谭洪强,宋林森,田岩. 应用于车辆质心测量的改进侧倾法[J]. 吉林大学学报(工学版), 2024, 54(11): 3175-3183.

Ren-jun LI,Yi-bing ZHAO,Li-dong GU,Hong-qiang TAN,Lin-sen SONG,Yan TIAN. Improved tilting method for vehicle mass center measurement[J]. Journal of Jilin University(Engineering and Technology Edition), 2024, 54(11): 3175-3183.

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参考文献 17

1	郑德喜. 三轴重型车辆行驶操纵稳定性研究[D]. 秦皇岛: 燕山大学机械工程学院, 2021.
	Zheng De-xi. Research on driving and handling stability of three-axle heavy vehicle[D]. Qinhuangdao: School of Mechanical Engineering, Yanshan University, 2021
2	李涛, 卢海波, 林泛业, 等. 质心高度对车辆动力学性能的影响[J]. 汽车实用技术, 2019(3): 110-112.
	Li Tao, Lu Hai-bo, Lin Fan-ye, et al. Effect of center of mass height on vehicle dynamic performance[J]. Automotive Practical Technology, 2019(3): 110-112.
3	Brancati R, Russo R, Savino S. Method and equipment for inertia parameter identification[J]. Mechanical Systems and Signal Processing, 2010, 24(1): 29-40.
4	李俊鹏, 顾宇庆, 陈华杰. 稳定摆法在汽车质心高度测量中的应用及不确定评定[J]. 中国检验检测, 2020, 28(2): 42-45.
	Li Jun-peng, Gu Yu-qing, Chen Hua-jie. Application of stable pendulum method in the height measurement of automobile center of mass and uncertainty evaluation[J]. China Inspection and Testing, 2020, 28(2): 42-45.
5	杨丽君. 基于侧倾法的车辆质心测量台技术研究[D]. 哈尔滨: 哈尔滨理工大学机械动力工程学院, 2015.
	Yang Li-jun. Technology research of vehicle center of mass measurement table based on roll method[D]. Harbin: School of Mechanical Power Engineering, Harbin University of Science and Technology, 2015.
6	贾晓东, 向飞. 侧倾台测量汽车质心高度的核查方法[J]. 装备制造技术, 2022(4): 95-98.
	Jia Xiao-dong, Xiang Fei. Verification method for measuring the height of center of mass of automobile by tilting table[J]. Equipment Manufacturing Technology, 2022(4): 95-98.
7	唐平建, 孙泽林, 张畔, 等. 基于三点支承的特种车辆质心测量误差分析[J]. 兵器装备工程学报, 2021, 42(7): 234-238.
	Tang Ping-jian, Sun Ze-lin, Zhang Pan, et al. Error analysis of centroid measurement of special vehicle based on three-point support[J]. Journal of Ordnance Equipment Engineering, 2021, 42(7): 234-238.
8	钟江, 赵章风, 乔欣, 等. 基于三点支承的质心测量系统及误差分析[J]. 中国机械工程, 2010, 21(12): 1469-1472.
	Zhong Jiang, Zhao Zhang-feng, Qiao Xin, et al. Center of mass measurement system and error analysis based on three-point support[J]. China Mechanical Engineering, 2010, 21(12): 1469-1472.
9	邱银燕, 熊云, 李剑斌. 基于质量反应法的车辆质心位置测量平台研究[J]. 农业装备与车辆工程, 2018, 56(9): 88-90.
	Qiu Yin-yan, Xiong Yun, Li Jian-bin. Research on vehicle centroid position measurement platform based on mass response method[J]. Agricultural Equipment and Vehicle Engineering, 2018, 56(9): 88-90.
10	Elaal S M A. Empirical equations to predict the tractor center of gravity[J]. Ama Agricultural Mechanization in Asia Africa & Latin America, 2009, 40(3): 64-68.
11	Fabbri A, Molari G. Static measurement of the centre of gravity height on narrow-track agricultural tractors[J]. Biosystems Engineering, 2004, 87(3): 299-304.
12	王德民, 张龙易, 许镇全, 等. 陆行车质心测量机设计与分析[J]. 长春理工大学学报: 自然科学版, 2021, 44(3): 76-82.
	Wang De-min, Zhang Long-yi, Xu Zhen-quan, et al. Design and analysis of center of mass measuring machine for land vehicle[J]. Journal of Changchun University of Science and Technology (Natural Science Edition), 2021, 44(3): 76-82.
13	Zhang Q, Jin X, Zhou K, et al. Novel design method of cog measurement system via supporting reaction method[J]. Journal of Beijing Institute of Technology, 2020, 29(2): 251-259.
14	Gobbi M, Mastinu G, Previati G. A method for measuring the inertia properties of rigid bodies[J]. Mechanical Systems&Signal Processing, 2011, 25(1): 305-318.
15	Mastinu G, Gobbi M, Miano C M. The influence of the body inertia tensor on the active safety and ride comfort of road vehicles[J]. Journal of Passenger Car: Mechanical Systems Journal, 2002, 111(6): 1980-1990.
16	秦剑文, 李波辉. 两种测量质心高度方法的研究[J]. 装备制造技术, 2020(12): 95-96.
	Qin Jian-wen, Li Bo-hui. Research on two methods for measuring the height of the center of mass[J]. Equipment Manufacturing Technology, 2020(12): 95-96.
17	丁伟, 高浩, 张坤, 等. 多轴车辆轮荷计算方法研究[J]. 汽车技术, 2014, 469(10): 18-21.
	Ding Wei, Gao Hao, Zhang Kun, et al. Research on calculation method of wheel load for multi-axle vehicle[J]. Automotive Technology, 2014, 469(10): 18-21.

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