Fast Shielding Optimization of an Inductive Power Transfer System for Electric Vehicles
نویسندگان
چکیده
The shielding design is one of the most difficult phases in developing an inductive power transfer system (IPT) for electric vehicles. In this aspect, combination metamodeling with a multiobjective optimization algorithm provides efficient approach. Here, Polynomial Chaos Expansions (PCE) and Multigene Genetic Programming Algorithm (MGPA) methods are used compared to describe mutual inductance IPT function variables on shielding. These metamodels obtained based number 3D Finite Element Method (FEM) computations. Then, coupled PCE technique applied determine optimal practical when considering magnetic coupling as well cost objective functions. Such particle swarm metamodel method proposed, leading improve around 104 % $M$ save 14 notation="LaTeX">$C$ initial design.
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ژورنال
عنوان ژورنال: IEEE Access
سال: 2022
ISSN: ['2169-3536']
DOI: https://doi.org/10.1109/access.2022.3198953