Ashley Fly
Loughborough University
33 Papers
41 Citations
Ashley Fly is an academic researcher from Loughborough University. The author has contributed to research in topics: Proton exchange membrane fuel cell & Computer science. The author has an hindex of 9, co-authored 20 publications.
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Papers
Rate dependency of incremental capacity analysis (dQ/dV) as a diagnostic tool for lithium-ion batteries
Ashley Fly,Rui Chen +1 more
TL;DR: In this paper, the influence of charge/discharge rate on ICA is quantitively analyzed through peak detection algorithms on two lithium-ion cells with different positive electrodes, and a new robust method for faster ICA was introduced which corrects peak shift through SOC dependant resistance measurements using current interrupt.
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A comparison of evaporative and liquid cooling methods for fuel cell vehicles
Ashley Fly,Robert H. Thring +1 more
TL;DR: In this paper, the authors compared the frontal area required to achieve thermal and water balance for an evaporatively cooled fuel cell system with an aluminium condensing radiator with a conventional liquid cooled system at 1.25 A/cm2 steady state operation.
92
The effects of gas diffusion layers structure on water transportation using X-ray computed tomography based Lattice Boltzmann method
TL;DR: In this paper, the authors used X-ray computed tomography (XCT) to reconstruct three types of GDL in a model and analyzed the Lattice Boltzmann methods to understand the water transport behaviors under differing contact angles and pressure differences.
62
Characterisation of the diffusion properties of metal foam hybrid flow-fields for fuel cells using optical flow visualisation and X-ray computed tomography
Ashley Fly,Daniel S.A. Butcher,Quentin Meyer,Quentin Meyer,Michael Whiteley,Adrian Spencer,Changsoo Kim,Paul R. Shearing,Dan J. L. Brett,Rui Chen +9 more
TL;DR: In this paper, a hybrid foam flow-field is presented consisting of flow channels pressed into the foam to promote flow distribution and reduce pressure drop, which can further reduce pressure and provide more even filling of the foam, at the expense of increased residence time.
46
Low temperature performance evaluation of electrochemical energy storage technologies
TL;DR: In this paper, a simplified empirical method is introduced for lithium-ion cells to determine the optimum pre-heating temperature for maximum net energy output including heating efficiency, which can be used to assess the benefits of different cold-start thermal management strategies for electric vehicles.
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