基于电动汽车制动安全检测的短时工况及方法研究  

Research on Short-Time Test Cycle and Method Based on Electric Vehicle Braking Safety Detection

作　　者：焦志鹏 马建[1] 赵轩[1] 张凯[1] 孟德安 韩琪 张昭 Jiao Zhipeng;Ma Jian;Zhao Xuan;Zhang Kai;Meng Dean;Han Qi;Zhang Zhao(School of Automobile,Chang’an University,Xi’an 710064)

机构地区：[1]长安大学汽车学院,西安710064

出　　处：《汽车工程》2024年第1期109-119,共11页Automotive Engineering

基　　金：国家自然科学基金(52172362);陕西省重大科技攻关项目(2020ZDZX06-01-01);霍英东青年教师基金项目(171103);陕西省重点研究发展计划(2019ZDLGY15-01,2020ZDLGY16-01,2021ZDLGY12-01);陕西省重点研发计划(2021LLRH-04-03-02);陕西省自然科学基金(2022JQ-494);中央高校基本科研业务项目(300102222108)资助

摘　　要：常规的制动安全检测通常采用长时间、极端工况,但可能会失去准确的工作范围。针对这一不足,首先提出一种踏板稳定模式的短时工况试验方法,该方法结合了现有的测试标准,并不限于单一的极端制动模式,而是可以考虑电动汽车的快速稳态运行。在此基础上,基于机器学习对运行片段回归并通过连续拼接构建短时工况。利用短时工况提出一种改进的制动安全检测方法,该方法通过主成分分析对制动片段的特征参数进行降维,同时根据特征参数计算制动片段的重复性距离判断安全隐患。最后,通过在测试台架上跟随短时工况,验证所提出的短时工况和制动安全检测方法的有效性。Conventional braking safety detection usually uses long and extreme working conditions but may result in a loss of accurate working range.To address this deficiency,firstly,a short-time test cycle for stabilizing pedal mode test method is developed,which incorporates existing test standards,not limited to a single extreme braking mode but taking into consideration of fast steady-state operation of electric vehicles.Then,running frag⁃ments based on machine learning are regressed,and the short-time test cycle is constructed by fusion and splicing.Also,an improved braking safety detection method is proposed with short-time test cycle,which reduces the dimen⁃sion of the characteristic parameters of the braking segments by the principal component analysis,while the hidden danger is judged by calculating the repeatability distance of braking segments based on the characteristic parame⁃ters.Finally,the effectiveness of the proposed short-time test cycle and detection method is verified by means of fol⁃lowing test on a test bench.

关 键 词：电动汽车 制动安全 短时工况 检测方法 测试台架 

分 类 号：U469.72[机械工程—车辆工程] U463.5[交通运输工程—载运工具运用工程]