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Development of smart and modular active front-end systems towards efficient dc-charging for electric vehicles
Boek - Dissertatie
Nowadays, the electric grid faces additional stress due to the increasing number of Electric Vehicle
(EV)s and EV charging stations. EV charging stations with higher power ratings require higher
efficiency and reliability, making the appropriate component selection challenging. Therefore, this
PhD research aims to improve AC/DC conversion stage in EV charging applications through
active rectification, modularity, wide bandgap devices, smart control, and bidirectional power
flow.
In this PhD thesis, a modular, scalable Active Front-End (AFE) system architecture was
developed, enabling each module to function independently or as part of a larger system. A
distributed masterless control system with dynamic resource allocation and fault handling was
also developed. Several models, including high and low-fidelity electro-thermal models, a relia-
bility model, and cost and size models, were created to analyze the impact of modular design on
system efficiency, lifetime, cost, and its implications for the power grid.
A design optimization tool was developed to select the optimal number of modules in the
AFE system to achieve higher efficiency, reduced cost, and longer lifetime. The tool uses fast
electro-thermal and reliability models of the AFE systems based on analytical equations and
state-space models. Moreover, an algorithm was researched to optimize the LCL filter design.
A scaled 15 kW hardware prototype of a modular AFE was designed and built to validate the
masterless control concept and the models.
In addition to the primary EV charging use case, two other use cases for modular AFE were
studied: Battery Energy Storage Systems for grid support and industrial drive applications.
(EV)s and EV charging stations. EV charging stations with higher power ratings require higher
efficiency and reliability, making the appropriate component selection challenging. Therefore, this
PhD research aims to improve AC/DC conversion stage in EV charging applications through
active rectification, modularity, wide bandgap devices, smart control, and bidirectional power
flow.
In this PhD thesis, a modular, scalable Active Front-End (AFE) system architecture was
developed, enabling each module to function independently or as part of a larger system. A
distributed masterless control system with dynamic resource allocation and fault handling was
also developed. Several models, including high and low-fidelity electro-thermal models, a relia-
bility model, and cost and size models, were created to analyze the impact of modular design on
system efficiency, lifetime, cost, and its implications for the power grid.
A design optimization tool was developed to select the optimal number of modules in the
AFE system to achieve higher efficiency, reduced cost, and longer lifetime. The tool uses fast
electro-thermal and reliability models of the AFE systems based on analytical equations and
state-space models. Moreover, an algorithm was researched to optimize the LCL filter design.
A scaled 15 kW hardware prototype of a modular AFE was designed and built to validate the
masterless control concept and the models.
In addition to the primary EV charging use case, two other use cases for modular AFE were
studied: Battery Energy Storage Systems for grid support and industrial drive applications.
Aantal pagina's: 130
Jaar van publicatie:2024
Toegankelijkheid:Embargoed