Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/233978
Title: MULTI-OBJECTIVE DESIGN OPTIMIZATION OF SIC-BASED INVERTER AND SIMULATION MODELLING OF AN ELECTRICAL VEHICLE DRIVE-TRAIN
Authors: KANG HEAN MING
Keywords: Multi-objective, SiC, Optimization, Inverter, Simulation, EV
Issue Date: 27-Jul-2022
Citation: KANG HEAN MING (2022-07-27). MULTI-OBJECTIVE DESIGN OPTIMIZATION OF SIC-BASED INVERTER AND SIMULATION MODELLING OF AN ELECTRICAL VEHICLE DRIVE-TRAIN. ScholarBank@NUS Repository.
Abstract: The thesis provides an analytical methodology to address the optimization problem of an inverter design. Silicon-carbide (SiC) devices are the most suitable material for the electrical vehicle (EV) voltage source inverter (VSI) and are used the various designs to find the best design across the devices at various switching frequency (fsw) operation point. The performance indices are efficiency (η) and power density (ρ). Based on the pareto curves obtained in the study, the best η-ρ design is selected as the best solution for power ratings of 300 kW and 80 kW respectively. Additionally, a simulation model is provided in the thesis to assess system level performance in the context of the FSAE racecar design competition. The simulation model covers the mechanical aspects of the vehicle load in the form of a simplified mechanical load model, the model can be modified for a high level of system modelling.
URI: https://scholarbank.nus.edu.sg/handle/10635/233978
Appears in Collections:Master's Theses (Open)

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