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This approach gives insight to the design and implementation of the noise suppression based on the wavelet transform (WT) for efficient FCTV signal provision. The most important thing in this approach is to show the comparative analyses on noise suppression between two transforms, such as the discrete wavelet transform (DWT) and discrete wavelet packet transform (DWPT). With an identical mother wavelet...
This approach newly presents an innovative method that implements the noise suppression considering the discrete wavelet transform (DWT)-based multi-resolution analysis (MRA). Specifically, this approach elaborately carries out two comparative analyses of the noise suppression depending on information on mother wavelet and decomposition level in the MRA. The first is to select the decomposition level...
The difference in electrochemical characteristics among Li-ion cells in the battery pack inevitably result in voltage and state-of-charge (SOC) imbalances caused by cell-to-cell variation. Therefore, in this approach, with lower requirements of active and passive balancing circuits, a novel approach based on the discrete wavelet transform (DWT) that are well suitable for analyzing and evaluating an...
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...
This research elaborately investigates an innovative work for high-accuracy SOC estimation using an adjusted experimental discharging/charging voltage (EDCV) signal of series/parallel-cell configured battery pack through combination between adaptive sliding-mode observer (SMO) and discrete wavelet transform (DWT). The steps for robust SOC estimation in the proposed approach as follows. First, after...
The noise-riding discharging/charging voltage (DCV) of the Li-Ion battery pack may result in erroneous equivalent circuit model (ECM)-based state-of-charge (SOC) estimation and state-of-health (SOH) prediction of the Li-Ion battery pack. Namely, the noisy DCV is intimately linked with a low battery management system (BMS) performance. Therefore, additional technique should be absolutely required for...
Differences in discharging/charging current signal (DCCS) profiles with magnitude, time interval, abrupt changes result in erroneous information for selection of Li-Ion cells that have similar electrochemical characteristics when using the conventional pattern recognition of Hamming neural network (HNN). Thus, this work gives insight to the implementation of Li-Ion cells selection by two-level basis...
An unexpected and instantaneous voltage sag in the energy storage system (ESS) application may cause irrespective breakdown and permanent internal damage of ESS. Therefore, this paper gives insight to the design and implementation of a novel methodology based on the application of discrete wavelet transform (DWT) to the fault diagnosis of the LiFePO4 ESS application using discharging/charging voltage...
Electrochemical differences, namely voltage variance among the cells in the LiFePO4 battery pack (rack) is generally related to degradation period, then the magnitude of the voltage variance of the degraded battery pack is increased when compared to the other case of non-degraded battery pack. Therefore, this approach gives insight to the design and implementation of the improved state-of-health (SOH)...
Differences in electrochemical characteristics among Li-Ion cells inevitably result in voltage/state-of-charge (SOC) imbalances in the Li-Ion battery pack. Therefore, this paper investigates a new approach based on the discrete wavelet transform (DWT) that suitable for analyzing and evaluating discharging/charging voltage signal (DCVS) for discrimination and screening method of a Li-Ion cell. The...
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