Performance Evaluation and Optimization of Semi-active Suspension Based on Real Vehicle Road Load Data
DOI:
https://doi.org/10.54691/sqbef891Keywords:
Semi-active Suspension; CDC Damper; Belgium Roads; Impact Event.Abstract
This study systematically analyzes the performance evaluation indicators and optimization directions of a semi-active suspension based on real-vehicle test data from Belgium roads and crater surfaces. A multi-dimensional performance evaluation system was constructed using axle head acceleration, vehicle body acceleration, suspension displacement, and CDC damper current data, including frequency domain performance indicators, time domain performance indicators, and energy consumption indicators. The results show that the semi-active suspension performs well in isolating high-frequency vibrations on Belgium roads; for transient impact response on crater surfaces, suspension travel protection and current response delay are the main optimization directions. For Belgium roads, frequency adaptive control and an energy consumption-comfort trade-off optimization strategy are proposed; for crater surfaces, impact event identification and pre-adaptive control and asymmetric damping control strategies are proposed.
Downloads
References
[1] Li Cong. Research on Performance Matching and Evaluation Technology of Automobile Semi-Active Suspension [D]. Southwest Jiaotong University, 2020.
[2] Chen Jieping, Chen Wuwei, Zhu Hui, et al. Random road modeling and roughness simulation based on Matlab/Simulink [J]. Transactions of the Chinese Society for Agricultural Machinery, 2010(3):5. DOI:10.3969/j.issn.1000-1298.2010.03.003.
[3] Lai Qi. Analysis of vehicle ride comfort under typical road impact conditions [D]. Jilin University [2025-11-25]. DOI:CNKI:CDMD:2.1018.028112.
[4] Chen Long, Li Dechao. Design and simulation of adaptive fuzzy controller for semi-active vehicle suspension [J]. Journal of Jiangsu University of Science and Technology: Natural Science Edition, 2001, 22(6):4. DOI:10.3969/j.issn.1000-1298.2001.06.001.
[5] XU Feng, RONG Bing*. Vehicle simulation analysis and optimization of semi-active air suspension[J]. Practical Automotive Technology, 2024, 49(19):61-67.DOI:10.16638/j.cnki.1671-7988.2024. 019. 012.
[6] Luo Xiaoyi, Gao Linlin, Yao Jianhong, et al. Research on optimization of main parameters of semi-active seat suspension for automobiles [J]. Journal of Changshu Institute of Technology, 2024, 38(2):101-106. DOI:10.3969/j.issn.1008-2794.2024.02.017.
[7] Shen Chao, Peng Yuming, Yang Mingliang, et al. Research on evaluation method of abnormal noise of automobile seats based on bench test [J]. Noise and Vibration Control, 2017(3).DOI: 10. 3969/ j.issn.1006-1355.2017.03.020.
[8] Zhu Ming. Modeling Research on Semi-Active Suspension System of Automobile [D]. Chongqing University, 2004. DOI:10.7666/d.y704212.
[9] Wu Xinping, Zhang Boqiang, Ge Junyang, et al. Analysis of the influence of road surface model and pulse on vehicle ride comfort [J]. Tractors & Agricultural Transport Vehicles, 2020, 47(5):4.
[10] Huang Shenglong. Research and Implementation of Automated HIL Simulation Test Platform for Automotive Engine ECU [D]. Jilin University [2025-11-25]. DOI:CNKI:CDMD:2.1013.193543.
[11] Guo Yongbin, Sun Wenkai, Jiang Yuanguang. Design of hybrid vehicle control system based on dSPACE [J]. Light Vehicle Technology, 2009(4):5. DOI:CNKI:SUN:QXQC.0.2009-04-002.
Downloads
Published
Issue
Section
License
Copyright (c) 2025 Scientific Journal of Technology
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
