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作 者:杨坤[1,2] 肖锦钊 王杰 马超[1] 付宏勋[1] 杨富春[2] YANG Kun;XIAO Jinzhao;WANG Jie;MA Chao;FU Hongxun;YANG Fuchun(School of Transportation&Vehicle Engineering,Shandong University of Technology,Zibo 255000,China;Shandong Yiwei Automobile Technology Co.,Ltd.,Zibo 255000,China)
机构地区:[1]山东理工大学交通与车辆工程学院,山东淄博255000 [2]山东意威汽车科技有限公司,山东淄博255000
出 处:《河南科技大学学报(自然科学版)》2021年第3期33-37,M0004,共6页Journal of Henan University of Science And Technology:Natural Science
基 金:国家自然科学基金项目(51605265);山东省重点研发计划基金项目(2018GGX105010);山东省自然科学基金项目(ZR2015PE020)。
摘 要:针对紧急制动时驾驶员制动强度识别精度较差的问题,提出了考虑驾驶员不同制动意图的踏板速度计算方法及对应的驾驶员制动强度识别方法。选取踏板压力变化率、车轮减速度和踏板位移作为识别参数,利用模糊控制算法对驾驶员制动意图进行预识别。根据驾驶员制动意图,设置踏板位移采样周期并计算不同制动意图下的踏板速度,选取踏板位移、踏板速度作为识别参数,利用模糊控制算法对驾驶员制动强度进行识别。在MATLAB/Simulink软件中搭建驾驶员制动强度识别模型,根据不同车速下多种制动强度仿真工况,对驾驶员制动强度识别准确性进行验证。研究结果表明:本文提出的驾驶员制动强度识别方法与现有方案相比,在轻度、中度制动时制动强度识别结果相当;在紧急制动时制动强度识别误差仅为1.25%,比现有方案误差降低8.75%,准确度显著提高,有助于提高汽车制动安全性。Aiming at the problem that the identification accuracy of driver braking intensity was poor in emergency braking,the calculation method of pedal speed considering different braking intentions of drivers and corresponding identification method of driver braking intensity were proposed.The change rate of pedal pressure,wheel deceleration and pedal displacement were selected as the identification parameters,and the fuzzy control algorithm was used to pre-identify the driver braking intention.According to the driver braking intention,the pedal displacement sampling period was set and the pedal speed under different braking intentions was calculated.The pedal displacement and pedal speed were selected as identification parameters,and the driver braking intensity was identified by fuzzy control algorithm.The identification model of driver braking intensity was built in MATLAB/Simulink software,and the accuracy of driver braking intensity identification was verified according to various braking intensity simulation conditions under different vehicle speeds.The simulation results show that compared with the existing scheme,the proposed identification system has the same identification result during light and moderate braking.The identification result error during emergency braking is only 1.25%,which is 8.75% lower than that of the existing scheme.The accuracy is significantly improved,which is helpful to improve the vehicle braking safety.
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