Alex graduated from the University of Brighton with a First Class Honours in Automotive Engineering and has recently completed an MSc in Automotive Engineering at Loughborough University. During this time his passion for the automotive industry has grown exponentially, with a deep interest into advancing current internal combustion engine feasibility.
As an undergraduate, Alex' final year project looked at the fluid dynamics of the human cochlea using CFD techniques. This was aimed at modelling processes inside the cochlea channel with relation to acoustic oscillations in comparison to pure mixing. This was an exploratory study for a larger scale collaboration between the Advanced Engineering centre and the Sensory Neuroscience Research Group.
In terms of potential areas in which to conduct his research project, Alex would love to amalgamate his passion of internal combustion engines with the more recently gained interest in fluid dynamics. Through his experience at AAPS, Alex hopes to broaden his knowledge in the automotive propulsion industry and gain a more complete understanding of how we can tackle the emissions crisis in the current climate.
As the automotive industry continues to de-carbonise, Fuel Cell vehicles provide a promising alternative to conventional ICE vehicles. Charaterising a fuel cell virtually is fundamental in unlocking performance and efficiency gains in its operation and development. Using data and specifications from the manufacturer to develop a theoretical model is often time consuming given the number of prarmeters and the level of fidelity desired in each use case. Therefore the aim of this work is to paramterise and develop fuel cell models and then to validate using experimental data gathered using efficient experimental methodology.
Depending on the use case, a variety of model types can be used which in turn will utilise varying structure/method to characterise the fuel cell. Definition of the parameters to valdate the model will be chosen and finally upon choice of use case, a methodology and can be selected to produce data in which to validate the developed model.
This work will look into fuel cell model development and parameterisation process along with the expereimental methodology to validate such a model. The experimental procedure will be streamlined based on chosen parameterisation techniques.
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