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Real‐Time Impedance Analysis for the On‐Road Monitoring of Automotive Fuel Cells
ChemElectroChem ( IF 4 ) Pub Date : 2020-06-09 , DOI: 10.1002/celc.202000510
Tim Lochner 1, 2 , Markus Perchthaler 1 , Janko T. Binder 1 , Jarek P. Sabawa 1 , Tuan Anh Dao 1 , Aliaksandr S. Bandarenka 2, 3
Affiliation  

The on‐road monitoring of polymer electrolyte membrane fuel cells (PEMFCs) in automotive systems optimizes their efficiency and fuel consumption in addition to increasing their lifetime. In this work, electrochemical impedance spectroscopy (EIS) measurements and special EIS data analysis algorithms were used to quickly identify fuel cell operational modes and failures during cell operation. The approach developed enables the measurement and analysis time of only a few seconds and allows the accurate extraction of information about the membrane and charge transfer resistance. The data analysis procedures show similar accuracy to that of the complex non‐linear least square fitting algorithms. As a result, typical operational failures like air and hydrogen starvation were able to be easily distinguished, and different operational states (membrane humidification, air stoichiometry) of the PEMFCs could be identified.

中文翻译:

用于汽车燃料电池道路监控的实时阻抗分析

汽车系统中的聚合物电解质膜燃料电池(PEMFC)的道路监控除了延长其使用寿命外,还优化了其效率和燃料消耗。在这项工作中,电化学阻抗谱(EIS)测量和特殊的EIS数据分析算法用于快速识别燃料电池的运行模式和电池运行过程中的故障。开发的方法只需要几秒钟的测量和分析时间,就可以准确地提取有关膜和电荷转移电阻的信息。数据分析过程显示出与复杂的非线性最小二乘拟合算法相似的准确性。结果,可以轻松地区分出典型的操作故障,例如空气和氢气不足。
更新日期:2020-07-01
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