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机构地区:[1]合肥工业大学交通运输学院,合肥230009 [2]合肥工业大学机械与汽车学院,合肥230009
出 处:《汽车工程》2011年第1期70-73,51,共5页Automotive Engineering
基 金:国家自然科学基金(70771036);安徽省自然科学基金(090414162);合肥工业大学校基金(080205F)资助
摘 要:根据我国混合交通的特点,采用离散小波变换的多分辨信号分解算法对汽车实际行驶工况数据进行压缩重构,将重构后的数据划分为很多短行程,根据速度和加速度等特征参数,构建了城市道路代表性行驶工况。接着以合肥市典型道路为例进行了实际应用,并建立了11个行驶工况评价准则。最后把构建的行驶工况与用传统方法确定的行驶工况和国外行驶工况进行了对比分析,结果表明应用小波分析法构建的代表性行驶工况能更真实地反映我国城市道路实际行驶工况。According to the characteristics of mixed traffic in China,and by using the multiresolution signal decomposition algorithm of discrete wavelet transform,the actual driving data are compressed,reconstructed and divided into many short trips,and then the city road representative driving cycle is constructed based on characteristic parameters such as speed and acceleration etc.Then the method is applied to the typical roads in Hefei city and 11 evaluation criteria for driving cycle are established.Finally the driving cycle constructed is compared with the driving cycle created by traditional method and foreign driving cycles FTP 75 and ECE 15.The results show that the representative driving cycle constructed using wavelet analysis can more truly reflect the real driving condition on city roads in China.
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