journal article·2023-03-01Open access

Comparison of decomposition levels for wavelet transform based energy management in multi-fuel cell system

Yang Chen, YiFan Liang, Liang Qiao, MengJie Li, JingYang Xiong

AIP Advances· Volume 13· Issue 3

Abstract

In a hybrid energy storage system consisting of multi-fuel cell systems and super-capacitors, the wavelet transform is adopted to decompose the load power into multiple levels and assign the low-frequency component for fuel cell (FC) systems to reduce the impact caused by frequent variations in power demand. Two strategies—wavelet-based direct strategy and wavelet-quadratic strategy—are simulated in order to explore the system output characteristics with an increasing decomposition level. It is shown that the wavelet-quadratic strategy decreases the frequency of FC fluctuations as the decomposition level increases, which facilitates delayed degradation. The direct strategy improves the efficiency but sacrifices the FC stack health due to frequent load changes.
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Research context

OpenAlex topics: Advanced Battery Technologies Research · Fuel Cells and Related Materials · Microgrid Control and Optimization

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Naval University of Engineering 1 , 717 Jiefang Avenue, Wuhan 430000, China

BaoJi University of Arts and Sciences, School of Electrical and Electronic Engineering 2 , BaoJi 721016, China

Funding

Key Research and Development Project of Hubei Province

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