小波去噪方法在动力电池管理系统中的应用
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- 英文论文题名：The De-noising Method based on Wavelet Analyse Apply to BMS
- 论文作者：刘芳 ; 高力 ; 刘阳
- 英文论文作者：Liu Fang Gao Li Liu Yang Brilliance Automotive Engineering Research Institute ; Shenyang ; 110141
- 年：2013
- 作者机构：华晨汽车工程研究院电控工程室;
- 论文关键词：小波分析 ; 去噪声 ; 电池荷电状态 ; 新能源汽车
- 英文论文关键词：Wavelet analyze ; De-noising ; SOC ; Electric vehicle
- 会议召开时间：2013-11-26
- 会议录名称：2013中国汽车工程学会年会论文集
- 英文会议录名称：Proceedings of 2013 SAE-China Congress
- 语种：中文
- 分类号：U469.72
- 学会代码：QCGC
- 会议名称：2013中国汽车工程学会年会
- 会议地点：中国北京
- 主办单位：中国汽车工程学会
- 学会名称：中国汽车工程学会
- 页数：4
- 文件大小：137k
- 原文格式：O
- 会议级别：全国
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.
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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[2]陈清泉,中国可望成为世界电动车大国[J].中国电动车,2002,2(2):20-24.
[3]孙俊,李宝辉,薛敏,电动汽车SOC估计方法[J].汽车工程师,2011(12):25-27.
[4]吴东兴,关道净,齐国光,高精度预测SOC的混合电动车电池管理系统的研究[J].高技术通讯,2006, 16(4):391-394.
[5]Roessler Metal.Variable nozzle turbocharger for medium - speed diesel engine[C].SAE880119,1988.
[6]Matsura Y,Nakaza N,Kobayashi Y,et al.Effect of various methods for improving vehicle start ability and transient response of turbocharged diesel trucks[C].SAE Paper 920044,1992.
[7]王洪梅.基于小波变换模极大值的电能质量信号检测研究[D].杭州:浙江大学,2006.
[8]李继军.小波分析及其在信号图像降噪中的应用[D].西安:西安电子科技大学,2006.