Lifelong Performance Monitoring of Pem Fuel Cells Using Machine Learning Models

Lukas Klass, Alexander Kabza,Frank Sehnke, Katharina Strecker, Markus Hölzle

SSRN Electronic Journal（2022）

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摘要

The development of fuel cells highly depends on the reliable operation of fuel cells on test benches for testing purposes. Even though the test bench’s control software contains an alarm module, it is only able to detect the most extreme failures due to the widespread operating parameter range of a fuel cell.

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关键词

Fuel cells, Performance monitoring, Artificial intelligence, Machine learning, Digital twin, LSTM

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