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Optimal Inverter Design for High-Performance Electric Vehicles using a Multi-optimization Framework
Evaluation of different inverter topologies and different modulation schemes using a multi-objective optimization procedure for a given target drive system. Optimization with respect to different objectives, e.g., efficiency, power density, costs. An existing toolchain provides a framework which can serve as a starting basis for your models and optimization algorithms. Analysis and validation of the design based on vehicle drive cycles.
Keywords: Power electronics, electric vehicles, inverter, optimization, efficiency, power density, cost, MATLAB
At Porsche AG, a design procedure for the optimal design
of power inverters was developed while focusing on power density and
efficiency. The design of the drive inverter is subject to various
optimization objectives, e.g. efficiency, continuous power, installation
space in the vehicle and costs.
In this project, you will develop an optimization framework in
order to evaluate different inverter topologies in combination with
various semiconductors (Si IGBT, SiC MOSFET, GaN) in a multiobjective
optimization procedure for a given target drive
system. Generally speaking, the results will lie on a pareto
front as the objectives are conflicting. An existing toolchain
provides a framework which may serve as a starting basis for your
models. Subsequently, the designs should be analyzed and generic
recommendations should be given for different vehicle applications and
classes.
At Porsche AG, a design procedure for the optimal design of power inverters was developed while focusing on power density and efficiency. The design of the drive inverter is subject to various optimization objectives, e.g. efficiency, continuous power, installation space in the vehicle and costs. In this project, you will develop an optimization framework in order to evaluate different inverter topologies in combination with various semiconductors (Si IGBT, SiC MOSFET, GaN) in a multiobjective optimization procedure for a given target drive system. Generally speaking, the results will lie on a pareto front as the objectives are conflicting. An existing toolchain provides a framework which may serve as a starting basis for your models. Subsequently, the designs should be analyzed and generic recommendations should be given for different vehicle applications and classes.
2024_MT_Porsche_Aushang_v3.pdf
