Thermal design of an electric motor using Particle Swarm Optimization
In this paper, flow inside an electric machine called starter-alternator is studied parametrically with CFD in order to be used by a thermal lumped model coupled to an optimization algorithm using Particle Swarm Optimization (PSO). In a first case, the geometrical parameters are symmetric allowing u...
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| Veröffentlicht in: | Journal of physics. Conference series 2012-11, Vol.395 (1), p.12030-8 |
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| container_title | Journal of physics. Conference series |
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| creator | Jandaud, P-O Harmand, S Fakes, M |
| description | In this paper, flow inside an electric machine called starter-alternator is studied parametrically with CFD in order to be used by a thermal lumped model coupled to an optimization algorithm using Particle Swarm Optimization (PSO). In a first case, the geometrical parameters are symmetric allowing us to model only one side of the machine. The optimized thermal results are not conclusive. In a second case, all the parameters are independent. In this case, the flow is strongly influenced by the dissymmetry. Optimization results are this time a clear improvement compared to the original machine. |
| doi_str_mv | 10.1088/1742-6596/395/1/012030 |
| format | Article |
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| subjects | Algorithms Alternators Electric motors Joining Mathematical models Optimization Parameters Particle swarm optimization Physics Swarm intelligence Symmetry Thermal design |
| title | Thermal design of an electric motor using Particle Swarm Optimization |
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