2025-10-01
Investigation of fuel cell stack performance degradation based on 1000 h durability experiments and long short-term memory prediction frameworks under dynamic load conditions
2025-10-01 • Zirong Yang, Ge Yang, Xuefeng Ji, Xiaolu Li, Daokuan Jiao, Yongping Hou, Yanyi Zhang, Dong Hao
Investigating the proton exchange membrane fuel cell (PEMFC) stack performance degradation phenomena is of vital importance for product development. In the study, the 1000 h durability experiment of a 5-kW fuel cell stack was performed under dynamic cyclic test conditions, and the test data containing 16 key parameters was utilized to develop the performance prediction framework based on long short-term memory (LSTM) model and LSTM model incorporating attention mechanism (Attention-LSTM). Data preprocessing and po…