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Modular Multilevel Converters for Heavy Trucks

Authors: Moberg, William;

Modular Multilevel Converters for Heavy Trucks

Abstract

This thesis examines alternatives for power supply for a heavy truck application based on five different modular multilevel converter configurations that ultimately feed a 3-phase motor. Advantages and disadvantages of the different configurations are being discussed as well as other important factors that play a role in what configuration that is beneficial for the intended application. How half- or full-bridge submodules and battery cells relate to each other to achieve a desired voltage are being explained and calculated. Power losses of the converter submodules are being calculated as well as how a specific battery capacity, with increasing average power consumption, performs uphill according to set requirements. It turns out to be the double-armed modular multilevel converter configurations that has the best performance when it comes to utility, energy storage and the lowest power losses.

Country
Sweden
Related Organizations
Keywords

Modular Multilevel Converter, VSC, BMS, Electrical Engineering, Electronic Engineering, Information Engineering, Elektroteknik och elektronik, BESS, IGBT, MMC

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green