Research on Ride Comfort of Composite Suspension Based on Multiple Working Condition Modes

被引:0
作者
Sun, Wen [1 ,2 ]
Li, Chenyang [1 ,4 ]
Wang, Junnian [2 ]
Wan, Xujun [3 ]
Liu, Guijun [1 ]
Li, Wei [4 ]
机构
[1] College of Automotive Engineering, Changzhou Institute of Technology, Changzhou
[2] Jilin University, National Key Laboratory of Automotive Chassis Integration and Bionics, Changchun
[3] BAIC Heavy Duty Truck Co. ,Ltd., Changzhou
[4] School of Automotive Engineering, Shandong Jiaotong University, Jinan
来源
Qiche Gongcheng/Automotive Engineering | 2024年 / 46卷 / 11期
关键词
composite suspension system; control strategy of switching working mode; multi-condition control strategy; multi-condition verification; ride comfort optimization;
D O I
10.19562/j.chinasae.qcgc.2024.11.014
中图分类号
学科分类号
摘要
As a core component for regulating vehicle ride comfort,the performance of the suspension sys⁃ tem directly determines the quality of vehicle driving. For the current problem of poor ride comfort during vehicle driving on complex roads,a composite suspension structure that is different from traditional suspensions is con⁃ structed in this paper,and the overall system architecture of this suspension is established. Firstly,in order to ex⁃ plore the vibration mechanism of the composite suspension of the complete vehicle,a dynamic model of the compos⁃ ite suspension of the complete vehicle is constructed. Secondly,combined with the complex driving requirements of the driver,a control strategy for the composite suspension system based on multiple operating conditions is con⁃ structed. The optimization effect is verified by different weighted RMS values of acceleration during vehicle driving,and the anti-air spring model is used to prove that the system can reduce the wear of the air spring. Finally,in the VI-Grade compact driving simulator,experimental verification is conducted based on the constructed complex oper⁃ ating conditions,and the test results of body vertical acceleration,roll angle acceleration,and pitch angle accelera⁃ tion with and without control are compared. The experimental results show that the proposed composite suspension system can improve performance by 32.26%,23.77%,and 7.38% under straight,curved,and braking conditions,respectively,through vehicle performance testing under complex conditions. It can effectively improve the ride com⁃ fort performance of vehicles while driving and solve the problem of air spring wear under normal driving conditions. © 2024 SAE-China. All rights reserved.
引用
收藏
页码:2076 / 2090and2099
相关论文
共 27 条
  • [1] LIU Anze, Development of automobile software in our country is gradually getting better [J], Intelligent Connected Vehicles, 5, 1, pp. 37-39, (2022)
  • [2] YU Zhisheng, Elementary vehicle dynamics[M], (2006)
  • [3] Neural network based adaptive event trigger control for a class of electromagnetic suspension sys⁃ tems[J], Control Engineering Practice, 106, (2021)
  • [4] SHEN Y,, Et al., Optimal design and dynamic control of the HMDV inertial suspension based on the ground-hook positive real network[J], Advances in Engineering Soft⁃ ware, 171, (2022)
  • [5] Optimized design for a MacPherson strut suspension with side load springs[J], Interna⁃ tional Journal of Automotive Technology, 9, pp. 29-35, (2008)
  • [6] MOHD SAMIN P,, Et al., Vi⁃ bration control of semi-active suspension system using PID con⁃ troller with advanced firefly algorithm and particle swarm optimi⁃ zation[J], Journal of Ambient Intelligence and Humanized Com⁃ puting, 12, pp. 1119-1137, (2021)
  • [7] ZHANG J, HU C., An adaptive controller design for nonlinear active air suspension systems with uncertainties[J], Mathematics, 11, 12, (2023)
  • [8] ZHANG Jianwen, ZHUANG Dejun, LIN Yi, Et al., Survey of au⁃ tomotive air spring suspension system[J], Journal of Highway and Transportation Research, 6, pp. 151-155, (2002)
  • [9] Ming XU, HUANG Qingsheng, Research status of intelligent con⁃ trol method for vehicle semi-active suspension[J], Machine Tool & Hydraulics, 49, 1, pp. 169-174, (2021)
  • [10] Jing LEI, Tongxing LI, Nonlinear optimal internal-model control for multiple time-delay systems with application to vehicle sus⁃ pensions[J], Integrated Ferroelectrics, 207, 1, (2020)