摘要
纯电动汽车是只用蓄电池作为能源的一种机动车辆。其与传统汽车不同之处之一在于仪表要显示剩余续驶里程、动力电池的SOC值以及百公里能耗等统计量,这些统计量的准确性直接影响驾驶员对汽车续航能力的判断问题,因此需要尽可能的准确。而以上三个统计量均依赖于动力电池实时的电流大小情况,电流值准确性直接影响以上三个统计量的估计结果。本文以此为问题,提出利用小波阈值收缩去噪法对检测到的动力电池放电电流进行处理,以提高放电电流值的质量,进而提高仪表显示剩余续驶里程、动力电池SOC以及百公里能耗等统计量的准确性。
The electric vehicle is a kind of motor vehicle which uses storage battery as the energy source.The different grounds compared with conventional vehicle are that for new energy vehicle,we need to show the remain driving distance,the SOC value of power battery and the power consumption per 100 km.the accuracy of above three statistics effects on the judging ability of driver for the endurance of the vehicle.However the estimation results of these three statistics is influenced by the veracity of the discharge current of storage battery.Consider the above problem,this paper propose an idea that before estimation using the discharge current,we must denoise by the method based on wavelet analyze,which can improve the veracity of the discharge current and further improve the accuracy of the above three statistics estimation results.
引文
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