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Transient thermal modelling of an axial flux permanent magnet (AFPM) machine with model parameter optimisation using a Monte Carlo method

Abstract:

This paper presents the development of a transient thermal model of the EVO Electric AFM 140 Axial Flux Permanent Magnet (AFPM) machine based on a hybrid finite difference and lumped parameter method. A maximum deviation between simulated and measured temperature of 2.4°C is recorded after using a Monte Carlo simulation to optimise model parameters representing a 53% reduction in temperature deviation. The simulated temperature deviations are lower than the measurement error on average and th...

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Institution:
University of Oxford
Department:
Oxford, MPLS, Engineering Science
Martínez-Botas, RF More by this author
Lampérth, MU More by this author
Pages:
411-421
Publication date:
2011-07-11
URN:
uuid:514b17a2-5f22-421c-88dd-ce85fc30622d
Source identifiers:
304515
Local pid:
pubs:304515

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