Fuel Cell (FC) systems are promising power-generation sources that are more and more presented as a good alternative to current energy converters such as internal combustion engines. They suffer however from insufficient durability for stationary and transport applications, and lifetime may be improved. A greater understanding of underlying wearing processes is needed in order to improve this t...

Platinum nanoparticles, which are used as catalysts in Proton Exchange Membrane Fuel Cells (PEMFC), tend to degrade after long-term operation. We discriminate the following mechanisms of the degradation: poisoning, migration and coalescence, dissolution, and electrochemical Ostwald ripening. There are two ways to tackle this problem. The first option involves formulation of durable catalyst, wh...

This paper presents the development of the electrical and mathematical models which is able to simulate the static and dynamic phenomena of proton exchange membrane fuel cell (PEMFC). The models were validated against the current distribution data experimentally measured earlier. A parallel computational methodology was employed to substantially reduce the computational time and to make large-s...

Graphene oxide (GO) contains several chemical functional groups that are attached to the graphite basal plane and can be manipulated to tailor GO for specific applications. It is now revealed that the reaction of GO with ozone results in a high level of oxidation, which leads to significantly improved ionic (protonic) conductivity of the GO. Freestanding ozonated GO films were synthesized and u...

A transient, multi-dimensional model has been developed to simulate proton exchange membrane (PEM) fuel cells. The model accounts simultaneously for electrochemical kinetics, current distribution, hydrodynamics and multi-component transport. A single set of conservation equations valid for flow channels, gas-diffusion electrodes, catalyst layers and the membrane region are developed and numeric...

This chapter presents general mathematical models and numerical simulation for proton exchange membrane fuel cell (PEMFC) to evaluate the effects of various designs and operating parameters on the PEMFC performance. Both one and two-dimensional models are presented; the advantages and weaknesses of using one-dimensional and two-dimensional models are discussed in detail. Subsequently, a general...

This paper presents the artificial intelligence techniques to control a proton exchange membrane fuel cell system process using particularly a methodology of dynamic neural network. The focus of this study is to derive a non-parametric empirical model. Also it will include process variations to estimate the performance of fuel cells without extensive calculations. The ANN model has been validat...