Abstract
Artificial intelligence (AI) is a rapidly developing technology that is already being used in a wide range of fields worldwide. The predominant use of AI as a technology is in the field of mechanical engineering. AI technology is a concept used in mechanical engineering areas like robotics, automation, and sensor technology. It is straightforward to conclude that mechanical engineering spreads the application and use of AI throughout the environment. This study discusses the artificial neural network (ANN) system, which is a part of AI, its application in the fuel cell field and describes how it works. This paper also discusses the implementation of infrared thermography (IRT), advanced and upcoming technology in polymer electrolyte membrane fuel cells (PEMFC). So forth, it elaborates on the structure of PEMFC and provides a brief overview of their operation. As a result of using IR and AI, we will have an even more efficient fuel cell that prevents the membrane from burning due to heat generation, as well as a self-controlling fuel cell machine that uses AI to avoid improper feeding.
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Abbreviations
- AI:
-
Artificial Intelligence
- ANN:
-
Artificial Neural Network
- AST:
-
Accelerated Stress Testing
- BP:
-
Back Propagation
- CFD:
-
Computational Fluid Dynamics
- EMS:
-
Energy Management System
- FC:
-
Fuel Cell
- FFBPNN:
-
Feed Forward Back Propagation Neural Network
- GMDHNN:
-
Group Method of Data Handling Neural Network
- HNN:
-
Hybrid Neural Network
- HOR:
-
Hydrogen Oxidation Reaction
- IoT:
-
Internet of Things
- IRT:
-
Infrared Thermography
- MEA:
-
Membrane Electrode Assembly
- MFC:
-
Microbial Fuel Cell
- ML:
-
Machine Learning
- MPR:
-
Multiplicative Polynomial Regression
- ORR:
-
Oxygen Reduction Reaction
- PEMFC:
-
Polymer Electrolyte Membrane Fuel Cell
- Re LU:
-
Rectified Linear Unit
- RBF:
-
Radial Basis Function
- SOC:
-
State Of Charge
- SVM:
-
Support Vector Machine
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Muthukumar, M., Fasima Banu, B., Pranav Karthikeyan, A., Velayutham, P., Muthukaruppanasamy, V., Hema Sastigaa, V.M. (2025). Applications of Artificial Intelligence on Fuel Cells—Review. In: Dwivedi, G., Verma, P., Shende, V. (eds) Advances in Clean Energy Technologies. ICET 2023. Springer Proceedings in Energy. Springer, Singapore. https://doi.org/10.1007/978-981-97-6548-5_15
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