Chang-Yoon Chun

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This work gives insight to the design and implementation of an improved extended Kalman filter (EKF) algorithm combined with the discrete wavelet transform (DWT) for a Li-Ion cell. The discharging/charging voltage signal (DCVS) is applied as source data in the DWT-based analysis due to its ability to extract information from the non-stationary and transient(More)
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(More)
This work investigates a new approach based on the discrete wavelet transform (DWT) that suitable for analyzing and evaluating output voltage signal (OVS) for discrimination method of a polymer electrolyte membrane fuel cell (PEMFC). Due to its ability to extract information from the non-stationary and transient phenomena simultaneously in both the time and(More)
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