Application of wavelet denoising method in power battery management system

作     者：Su, Weixing Liu, Fang 

作者机构：School of Computer Science & Software Engineering TIANJIN Polytechnic University Tianjin300387 China 

出 版 物：《Paper Asia》 (Paper Asia)

年 卷 期：2018年第COMPENDIUM VOL. 1卷第4期

页      面：52-55页

核心收录：

学科分类：0810[工学-信息与通信工程] 0808[工学-电气工程] 082903[工学-林产化学加工工程] 08[工学] 0829[工学-林业工程] 082201[工学-制浆造纸工程] 0701[理学-数学] 0822[工学-轻工技术与工程] 

基　　金：This research is partially supported by State Key Laboratory of Process Automation in Mining & Meallurgy/ Beijing Key Laboratory of Process Automation in Mining & Metallurgy Research Fund Project BGRIMM-KZSKL-2017-01.This research is partially supported by Tianjin Science and Technology Project 17ZLZXZF00280.This research is partially supported by National Natural Science Foundation of China under Grant 51607122  51378350.This research is partially supported by Tianjin Municipal Education Commission research project 2017KJ094 

主　　题：Electric power supplies to apparatus 

摘      要：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 de-noise 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. © 2018, SHPMedia Sdn Bhd. All rights reserved.