Numerical Study Of The Flow Inside An
Alternator: Application To The Thermal
Optimization Of The Machine
Author(s)
P. O. Jandaud, S. Harmand & M. Fakes
Abstract
In this paper, the flow inside an electric machine called a 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 the 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 the 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.
Keywords: CFD, lumped method, electric machine, optimization, PSO.
1 Introduction
In order to reduce CO2 emissions and gas consumptions, the automotive industry
is developing more and more hybrid vehicles. Therefore, it needs to create
innovative technologies. For mild-hybrid cars, a combustion engine is still
necessary but it is coupled to an electric machine called starter-alternator. This
machine is powerful, the electric power produced is around 10 kW, and compact,
its diameter is approximately 20 cm and its length 10 cm. The cooling of the
starter-alternator is a critical point in its design as high temperatures affect the
performances of the machine.
To study the thermal behaviour of electric machines, a code named SAME
(Aero-thermal Simulation of Electric Machines) has been developed at the
laboratory. The code uses lumped method to create a network of thermal
conductances and can be coupled to optimization algorithm. This method is
Keywords
CFD, lumped method, electric machine, optimization, PSO.
Related Book
Other papers in this volume
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