A multi-scale fuel cell degradation prediction method based on isometric convolution block and long short-term memory networks

Author:

Wang ZifeiORCID,Tao JiliORCID,Hu Yuanmin,Zhang Jingyi,Ma Longhua,Xu Ming

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference36 articles.

1. A novel aging prediction method of fuel cell based on empirical mode decomposition and complexity threshold quantitative criterion;Tian;J Power Sources,2023

2. An energy management strategy based on DDPG with improved exploration for battery/supercapacitor hybrid electric vehicle;Zhang;IEEE Trans Intell Transport Syst,2023

3. Optimal configuration and energy management for combined solar chimney, solid oxide electrolysis, and fuel cell: a case study in Iran;Fei;Energy Sources, Part A Recovery, Util Environ Eff,2023

4. Real-time optimization of energy management strategy for fuel cell vehicles using inflated 3D inception long short-term memory network-based speed prediction;Zhang;IEEE Trans Veh Technol,2021

5. Comparison of degradation prediction methods for proton exchange membrane fuel cell;Liu,2023

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