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Life Prediction of Proton Exchange Membrane Fuel Cell Based on ISAO-CNN-GRU
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Jianyu Xiong1, Yazhou Kuang1, Yiqiang Peng1, 2, 3
Automotive Engineer | 2025, (7) : 36 - 43
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Automotive Engineer | 2025, (7): 36-43
Special Topic on Key Technologies of Power Devices and Power Electronics Systems for New Energy Vehicles
Life Prediction of Proton Exchange Membrane Fuel Cell Based on ISAO-CNN-GRU
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Jianyu Xiong1, Yazhou Kuang1, Yiqiang Peng1, 2, 3
Affiliations
  • 1 School of Automobile and Transportation, Xihua University, Chengdu 610039
  • 2 Vehicle Measurement Control and Safety Key Laboratory of Sichuan Province, Chengdu 610039
  • 3 Provincial Engineering Research Center for New Energy Vehicle Intelligent Control and Simulation Test Technology of Sichuan, Chengdu 610039
Published: 2025-07-15 doi: 10.20104/j.cnki.1674-6546.20240429
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To predict the Remaining Useful Life (RUL) of Proton Exchange Membrane Fuel Cell (PEMFC) precisely, the paper proposes a method for predicting the RUL based on neural network optimized by Improved Snow Ablation Optimizer (ISAO). Firstly the original data are preprocessed by using Pauta criterion and wavelets, then the Pearson’s correlation coefficients are used to select parameters which have strong correlation with voltage as input variables. ISAO is used to optimize hyperparameters of Convolutional Neural Network-Gated Recurrent Unit (CNN-GRU) model. Then the CNN-GRU model is used to predict the output voltage of the PEMFC. Test results show that when the training set ratio is 30%, the mean absolute error is 1.6 mV, the root mean square error is 2.2 mV, the relative error is 0.41%, and the R-squared of the method is 99.20%, which are the best results the of six models. Compared with the Sparrow Search Algorithm (SSA), Snow Ablation Optimizer (SAO) and Whale Optimization Algorithm (WOA), the ISAO has faster optimization speed and better result, proving that the prediction model and the improved algorithm are effective.

Proton Exchange Membrane Fuel Cell (PEMFC)  /  Remaining Useful Life (RUL)  /  Snow Ablation Optimizer (SAO)  /  Gauss-Cauchy mutation
Jianyu Xiong, Yazhou Kuang, Yiqiang Peng. Life Prediction of Proton Exchange Membrane Fuel Cell Based on ISAO-CNN-GRU[J]. Automotive Engineer, 2025 , (7) : 36 -43 . DOI: 10.20104/j.cnki.1674-6546.20240429
Year 2025 volume Issue 7
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doi: 10.20104/j.cnki.1674-6546.20240429
  • Online Date:2025-11-10
  • Published:2025-07-15
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  • Revised:2024-12-24
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Affiliations
    1 School of Automobile and Transportation, Xihua University, Chengdu 610039
    2 Vehicle Measurement Control and Safety Key Laboratory of Sichuan Province, Chengdu 610039
    3 Provincial Engineering Research Center for New Energy Vehicle Intelligent Control and Simulation Test Technology of Sichuan, Chengdu 610039
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表12种不同金属材料的力学参数

Family
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Number of
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Number of
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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