汽车科技2024,Issue(3) :2-9.DOI:10.3969/j.issn.1005-2550.2024.03.001

新型单传感器半主动悬架控制算法机理研究

Research and Application of a Novel Single Sensor Semi-Active Suspension Control Algorithm

李根 邵雄 赵伟冰 谢欣秦 李闯
汽车科技2024,Issue(3) :2-9.DOI:10.3969/j.issn.1005-2550.2024.03.001

新型单传感器半主动悬架控制算法机理研究

Research and Application of a Novel Single Sensor Semi-Active Suspension Control Algorithm

李根 1邵雄 1赵伟冰 1谢欣秦 1李闯1
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作者信息

  • 1. 比亚迪汽车工业有限公司,深圳 518118
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摘要

半主动悬架控制算法研究,对提高汽车的平顺性和操纵稳定性,具有非常重要的意义.本文首先建立了一种三自由度车辆模型,并基于试验场采集的试验数据作为模型的工况输入.然后,提出了一种新型单传感器算法,并基于建立的控制算法和三自由度车辆模型闭环仿真平台,对新型单传感器算法进行了仿真分析,从理论上验证了算法的优势以及算法参数对平顺性的影响规律.最后,在闭环仿真平台中对新型单传感器算法的参数进行了优化,结果表明,相对于被动减振器,在鹅卵石路面和长波路面上,新型单传感器算法车身质心加速度RMS指数分别降低了21%和14%,大幅提升了车辆的舒适性.

Abstract

The research on the control algorithm of semi-active suspension is of great significance to improve the comfort and handling stability of automobiles.Firstly,the three degree of freedom vehicle model is established in this paper,and experimental data obtained from the proving ground is used as input for the simulation conditions of the model.Then,a novel single sensor algorithm is proposed,and based on the established control algorithm and a closed-loop simulation platform of a three degree of freedom vehicle model,simulation analysis is conducted on the novel single sensor algorithm.The advantages of the algorithm and the impact of algorithm parameters on ride comfort were theoretically verified.Finally,the parameters of the novel single sensor algorithm is optimized on the closed-loop simulation platform,and the results showed that compared to the passive shock absorber,the RMS index of the vehicle centroid acceleration of the novel single sensor algorithm decreased by 21%and 14%respectively on pebble and long wave road of proving ground,significantly improving the comfort of the vehicle.

关键词

半主动减振器/车辆模型/新型单传感器算法/仿真分析/参数优化

Key words

Semi-Active Shock Absorber/Vehicle Model/Novel Single Sensor Algorithm/Simulation Analysis/Parameter Optimization

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出版年

2024
汽车科技
东风汽车有限公司 科技情报所

汽车科技

影响因子:0.209
ISSN:1005-2550
参考文献量8
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