Online Monitoring of Fuel Cell Electrochemical Impedance Spectrum with Multi-stages Multi-sine Signals Based on DC-DC Converter

被引:1
|
作者
Liu, Zhaoming [1 ]
Wang, Xueyuan [1 ]
Chang, Guofeng [1 ]
Yuan, Hao [1 ]
Tang, Wei [1 ]
Wei, Xuezhe [1 ]
Dai, Haifeng [1 ]
机构
[1] Tongji Univ, Sch Automot Studies, Shanghai 200070, Peoples R China
关键词
DC-DC Converter; electrochemical impedance spectrum (EIS); fuel cells; multifrequency excitation; WATER MANAGEMENT; SPECTROSCOPY; ARCHITECTURES; PERFORMANCE; DIAGNOSIS; STACKS;
D O I
10.1109/TPEL.2024.3448530
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Advanced sensors based on electrochemical impedance spectrum (EIS) are essential for fuel cell system state estimation, fault diagnosis, and health management. However, traditional EIS methods are unsuitable for real-time state management due to high costs, large sizes, and long acquisition times, limiting their online industrial application. To enhance onboard EIS application, this study proposes a novel multistage and multisine injection method to improve wideband frequency sweeping, balancing EIS quality, and measurement time using a four-phase floating-interleaving parallel dc-dc converter prototype with EIS injection functions. In addition, a fuel cell coupled with a four-phase floating-interleaving parallel dc-dc equivalent circuit model is established for comprehensive performance analysis in impedance calculation with different excitation methods. Experimental validation showed an impedance magnitude error within 3.2% from 1 kHz to 0.1 Hz, and the implementation reduces EIS measurement time from 900 s to approximately 150 s. Furthermore, a case study on fuel cell EIS sensitivity under dynamic conditions indicates that the proposed prototype can capture dynamic EIS variations using local multifrequency points.
引用
收藏
页码:16826 / 16838
页数:13
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