汽车工程 ›› 2018, Vol. 40 ›› Issue (7): 795-.doi: 10.19562/j.chinasae.qcgc.2018.07.008

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汽车盘式制动器时变稳定性的分析与优化

王晗蓓,于德介,黄亚   

  • 出版日期:2018-07-25 发布日期:2018-07-25

Analysis and Optimization on Time-varying Stability of Automotive Disc Brake

Wang Hanbei, Yu Dejie & Huang Ya   

  • Online:2018-07-25 Published:2018-07-25

摘要: 为解决汽车盘式制动器在使用周期内的磨损导致可靠度降低,和产生制动噪声问题,提出一种汽车盘式制动器系统时变稳定性分析与优化方法。该方法引入随机过程参数来描述使用过程中存在磨损的制动器结构,构造含有随机参数和随机过程参数的制动器系统不确定参数化模型,以进行制动器使用过程中的稳定可靠性动态预测。在此基础上,针对制动器使用后期可靠性下降问题,运用时变可靠性分析理论、响应面技术和遗传算法,以复特征值阻尼比负值最小化为优化目标,对制动器系统时变稳定性进行优化,以保证使用周期内的可靠度满足要求。最后以某车浮钳制动器为例,采用本文方法有效预测了其时变稳定可靠性,并通过优化制动器支撑背板密度和厚度,有效提高了制动器使用后期的稳定可靠度。

关键词: 盘式制动器, 随机参数, 时变参数, 制动噪声, 稳定性, 可靠性优化

Abstract: To tackle the problem of reliability decline and braking noise caused by the wear of disc brake, an analysis / optimization method for the timevarying stability of vehicle disc brake system is proposed. With the method, the random process parameters are introduced to describe the brake structure with wear during operation. A parametric model covering random parameters and random process parameters for the brake system with uncertainty is constructed to perform the dynamic prediction of stable reliability during brake operation. On this basis and aiming at the reliability decline in the later stage of brake operation, an optimization on the timevarying stability of brake system is conducted by using the analysis theory for timevarying reliability, response surface technique and genetic algorithm, with minimizing the negative complex eigenvalue of damping ratio as objective, to ensure its reliability meeting requirements in the later stage of operation. Finally the method is effectively applied to the prediction on the timevarying reliability of a brake with floating caliper as an example, with its stable reliability in the later period of operation effectively enhanced by an optimization on the density and thickness of supporting back plate of the brake.

Key words: disk brake, random parameters, time-varying parameters, brake noise, stability, reliability optimization