基于电化学阻抗谱的开放阴极质子交换膜燃料电池水管理故障诊断

To extend the lifetime of proton exchange membrane fuel cells (PEMFCs), the two most prevalent operational faults— membrane drying and flooding—must be diagnosed and analyzed. This study presents a comprehensive fault diagnosis framework that integrates machine learning with an equivalent circuit model (ECM) for open-cathode PEMFC systems. First, based on the fuel cell fast impedance test platform...