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• W2340809877 abstract "The development need of new renewable energy is more and more important to resolve exhaustion of chemical fuels and environmental pollution. Polymer electrolyte membrane fuel cell has been widely studied to the extent that it can be used commercially. But there are many problems to be solved. One of them is to enhance the stability of fuel cell stacks. This paper proposes a new fault diagnosis method using Least Square Method (LSM) which is one of parameter estimation methods. The proposed method extracts equivalent circuit parameters from on-line measurements. Parameters of the circuit are estimated according to normal and abnormal states using simulation. The variation of parameters estimated in each states enables the estimation of state in fuel cells. Thus the LSM presented can be a suitable on-line parameter estimation method in PEMFC." @default.
• W2340809877 created "2016-06-24" @default.
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• W2340809877 date "2016-02-29" @default.
• W2340809877 modified "2023-10-05" @default.
• W2340809877 title "Development of a New On-line state Estimation Method in PEMFC using Parameter Estimation" @default.
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• W2340809877 doi "https://doi.org/10.7316/khnes.2016.27.1.036" @default.
• W2340809877 hasPublicationYear "2016" @default.
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