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

Authors: Huanbo Qiao; Hongxun Fu; Senyu Bi; Laiyun Ku; Yan Wang

Addresses: School of Transportation and Vehicle Engineering, Shandong University of Technology, 12 Zhangzhou Road, Zhangdian, Zibo, 255049, China ' School of Transportation and Vehicle Engineering, Shandong University of Technology, 12 Zhangzhou Road, Zhangdian, Zibo, 255049, China ' School of Transportation and Vehicle Engineering, Shandong University of Technology, 12 Zhangzhou Road, Zhangdian, Zibo, 255049, China ' School of Transportation and Vehicle Engineering, Shandong University of Technology, 12 Zhangzhou Road, Zhangdian, Zibo, 255049, China ' School of Transportation and Vehicle Engineering, Shandong University of Technology, 12 Zhangzhou Road, Zhangdian, Zibo, 255049, China

Abstract: 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.

Keywords: on-board weighing; finite element analysis; linear transfer; prediction model; test verification.

DOI: 10.1504/IJHVS.2023.134709

International Journal of Heavy Vehicle Systems, 2023 Vol.30 No.6, pp.766 - 778

Received: 11 Oct 2022
Received in revised form: 18 Jan 2023
Accepted: 15 Feb 2023
Published online: 06 Nov 2023 *

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