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Design and Optimization of a 100-kW Composite Converter for Electric Vehicle Drivetrain.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Design and Optimization of a 100-kW Composite Converter for Electric Vehicle Drivetrain./
作者:
Gao, Yucheng.
出版者:
Ann Arbor : ProQuest Dissertations & Theses, : 2021,
面頁冊數:
143 p.
附註:
Source: Dissertations Abstracts International, Volume: 83-04, Section: B.
Contained By:
Dissertations Abstracts International83-04B.
標題:
Electrical engineering. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28651962
ISBN:
9798538153848
Design and Optimization of a 100-kW Composite Converter for Electric Vehicle Drivetrain.
Gao, Yucheng.
Design and Optimization of a 100-kW Composite Converter for Electric Vehicle Drivetrain.
- Ann Arbor : ProQuest Dissertations & Theses, 2021 - 143 p.
Source: Dissertations Abstracts International, Volume: 83-04, Section: B.
Thesis (Ph.D.)--University of Colorado at Boulder, 2021.
This item must not be sold to any third party vendors.
For the dc-dc boost converter enabling power control as well as cost and size reductions in the drivetrain of hybrid electric vehicles (HEV) and fuel-cell electric vehicles (FCEV), the composite converter architecture offers 2--4 times reduced loss and reduced volume of passive components compared to state-of-the-art circuit topologies. This thesis demonstrates a comprehensive, scalable, and computationally efficient system-level optimization approach for the complex composite converter systems, which is applied to the design of a 126 kW, 1200 V-rated SiC-based prototype.The design approach is enabled by innovations in loss and thermal modeling techniques focuses on both modeling accuracy and calculation speed, including a novel closed-form approximate ac winding loss model, which takes into account the air-gap fringing effect, and a lumped thermal model for planar magnetics. Furthermore, the thermal model improves intuition around the thermal design, spurring the development of a series of thermal management enhancements for the planar magnetics, which leads to 2.6 times improvement in power density compared to standard solutions. The developed modeling and thermal management techniques are firstly applied to the optimization of the high-power high-current ripple planar inductors for a boost converter module, and the insights of selecting core and winding parameters are discussed in detail. Inspired by the inductor optimization, a scalable approach for architecture-level optimization is proposed to select the optimal composite converter architecture for the specific application. This is followed by a comprehensive parameter sweep-based multi-objective optimization, which determines all the component specifications in the system, with considerations of the packaging and layout planning.The developed prototype records experimentally calibrated corporate average fuel economy (CAFE) efficiency of 99.0%, power density of 22.4 kW/L, and a calculated mean time to failure (MTTF) of 1.09 million hours.
ISBN: 9798538153848Subjects--Topical Terms:
649834
Electrical engineering.
Subjects--Index Terms:
Optimization
Design and Optimization of a 100-kW Composite Converter for Electric Vehicle Drivetrain.
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For the dc-dc boost converter enabling power control as well as cost and size reductions in the drivetrain of hybrid electric vehicles (HEV) and fuel-cell electric vehicles (FCEV), the composite converter architecture offers 2--4 times reduced loss and reduced volume of passive components compared to state-of-the-art circuit topologies. This thesis demonstrates a comprehensive, scalable, and computationally efficient system-level optimization approach for the complex composite converter systems, which is applied to the design of a 126 kW, 1200 V-rated SiC-based prototype.The design approach is enabled by innovations in loss and thermal modeling techniques focuses on both modeling accuracy and calculation speed, including a novel closed-form approximate ac winding loss model, which takes into account the air-gap fringing effect, and a lumped thermal model for planar magnetics. Furthermore, the thermal model improves intuition around the thermal design, spurring the development of a series of thermal management enhancements for the planar magnetics, which leads to 2.6 times improvement in power density compared to standard solutions. The developed modeling and thermal management techniques are firstly applied to the optimization of the high-power high-current ripple planar inductors for a boost converter module, and the insights of selecting core and winding parameters are discussed in detail. Inspired by the inductor optimization, a scalable approach for architecture-level optimization is proposed to select the optimal composite converter architecture for the specific application. This is followed by a comprehensive parameter sweep-based multi-objective optimization, which determines all the component specifications in the system, with considerations of the packaging and layout planning.The developed prototype records experimentally calibrated corporate average fuel economy (CAFE) efficiency of 99.0%, power density of 22.4 kW/L, and a calculated mean time to failure (MTTF) of 1.09 million hours.
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http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28651962
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