Trend‐focused dynamic degradation prediction based on echo state networks in automotive fuel cells
Meiling Yue,
Xin Zhang,
Teng Teng
et al.
Abstract:Fuel cell technology is a promising alternative to traditional internal combustion engines in various applications, especially in transportation applications. However, the high cost and limited lifetime of fuel cells have hindered their widespread commercialization. Accurately predicting fuel cell lifetime is crucial for reducing the cost of ownership, ensuring safety, and promoting the adoption of this technology. The objective of the present work is to develop a tool that is able to estimate the lifespan of … Show more
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