Hydrogen Fuel Cells Lifetime Prediction Based on Multi-layer Perceptron

Hydrogen fuel cells lifetime is essential for vehicles utilization and machines, which has been concerned by existing researchers. However, existing prediction is based on mathematical calculation and leaks the parameters of other situations including using situation and cells surroundings. This paper presents a novel approach to predict the lifetime of hydrogen fuel cells using a multi-layer perceptron (MLP) model by measuring the cell voltages. The lifetime of hydrogen fuel cells is a critical factor in their successful application and deployment. In this work, a MLP model is utilized to predict the lifetime of hydrogen fuel cells based on various input parameters including temperature, voltage and current information. The model is trained and tested on a dataset of experimental results from a laboratory-scale hydrogen fuel cell. The results demonstrate that the proposed MLP model is able to accurately predict the lifetime of hydrogen fuel cells with a mean absolute error of 0.17 years. This approach is promising for the development of hydrogen fuel cell technology and could be used to optimize the design and operation of fuel cells.