In order to improve dynamic characteristics of pneumatic EPB with the problem of slow response of the control solenoid valve,this paper proposes an optimization method of the solenoid valve.a simulation model of pneumatic EPB was set up based on Matlab/Simulink.Tests of charging process were carried out with different frequency of PWM on test bench and simulation was implemented under the same condition.It is found that the mean deviation of the two is less than 20KPa.Valve structure parameter sensitivity was analyzed with Simulink model to get the main parameters affecting the electromagneticvalve performance.The csolenoid valve optimization model was built based on AMESim and main parameters of solenoid valve were optimized with the help of the genetic algorithm module in optimization tool so that the system inflating time is reduced by 0.34s,which is benefit to solenoid valve optimization and redesign.%为了改善气压式驻车制动系统的动态响应特性,针对系统关键部件电磁阀响应慢导致充气时间长的问题,提出气压式驻车制动系统电磁阀优化设计方法.基于Matlab/Simulink搭建了气压式EPB系统的仿真模型,通过气压式EPB系统试验台实测在不同频率PWM控制信号下气室压力的变化,与同条件下仿真结果进行对比,两者的平均差小于20kPa.利用Sim-ulink模型对电磁阀结构参数进行灵敏度分析,筛选出影响电磁阀工作性能的主要参数,并按AMESim搭建电磁阀优化模型,利用Optimization工具中的遗传算法模块对电磁阀主要参数进行优化,充气时间缩短0.4s.结果表明,电磁阀性能优化设计方法能够提高系统的响应特性,缩短充气时间.
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