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Heavy-duty fuel cell vehicles as a clean energy transportation solution have attracted much interest over the last few years. However, they still suffer from various degradation and faults and a relatively short lifetime, hindering their wider market adoption. Better diagnostics tools are highly needed to obtain information from the fuel cell stacks of the industrial partner, Ballard Power Systems. Electrochemical impedance spectroscopy (EIS) has been established as an important technique for fuel cell diagnostics. Linear power amplifiers were used previously as an excitation source for EIS with limited power rating and efficiency, restricting their applications to only single cell or short stack testing. This project therefore aims to develop a converter based EIS tool with higher power capability for Ballard’s fuel cell diagnosis at the stack level. It also aims to develop new models and data processing techniques to augment and generate EIS data for hydrogen leak predictions.
Jiacheng Jason Wang;Krishna Vijayaraghavan
Ballard Power Systems Inc
Engineering
Manufacturing; Professional, scientific and technical services
Simon Fraser University
Accelerate
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