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Evaluation of noise reduction in experimental battery pack voltage using discrete wavelet transform and wavelet packet transform

机译:使用离散小波变换和小波包变换评估实验电池组电压中的降噪

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This study deals with an interesting approach that clearly evaluates the noise reduction in noise-containing experimental discharging/charging voltage signal (DCVS) based on the discrete wavelet transform (DWT) and the wavelet packet transform (WPT). The key difference to be considered is the multi-resolution analysis (MRA)-based decomposition ability of high frequency band. By comparison with the DWT, it surely can be expected to have the binary tree structure that can decompose low and high frequency bands. As a result of an evaluation of noise reduction using the DWT and the WPT, it can be shown that the performance on noise reduction of the WPT is superior to that of the DWT. This approach considered an experimental battery pack of 2S3P in series/parallel connection using 2.2Ah LiCoO2 unit cells.
机译:这项研究涉及一种有趣的方法,该方法可以基于离散小波变换(DWT)和小波包变换(WPT)清晰地评估含噪声的实验性放电/充电电压信号(DCVS)中的降噪效果。要考虑的关键区别是基于多分辨率分析(MRA)的高频段分解能力。通过与DWT进行比较,可以肯定地期望它具有可以分解低频段和高频段的二叉树结构。作为使用DWT和WPT的降噪评估的结果,可以表明,WPT的降噪性能优于DWT。该方法考虑了使用2.2Ah LiCoO2单电池串联/并联连接的2S3P实验电池组。

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