Hybrid Analytical and Data-Driven Models for Integrated Simulation and Design of Complex High Frequency Multi-Winding Magnetic Components

用于复杂高频多绕组磁性元件集成仿真和设计的混合分析和数据驱动模型

• 批准号: 2344664
• 负责人: Minjie Chen
• 金额: $ 33.89万
• 依托单位: Princeton University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2024
• 资助国家: 美国
• 起止时间: 2024-01-01 至 2026-12-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2344664&HistoricalAwards=false
• 关键词: Hybrid; Analytical; Data; Driven; Models

Electrical power converters are critical to a wide range of applications from renewable integration to transportation electrification and can be a key factor in determining the size, weight, and efficiency of all types of energy conversion systems. Magnetic components are typically the largest and least efficient components in power electronics. While there have been major strides in the development of wide-bandgap (WBG) semiconductor devices and circuit topologies, the necessary advances in the modeling and design of complex power magnetic components are lagging. This project will conduct fundamental research on the magnetics modeling theory for linear and non-linear micro- and macro-scale behavior analysis of power magnetics. The linear electromagnetic field and current distribution in windings, and the non-linear hysteresis of power magnetic core materials will be modeled under a unified framework, targeting sophisticated magnetic structures with matrix coupled flux and non-uniform flux distribution. Methods will be developed to characterize the complex behavior of electromagnetic hysteresis in the magnetic materials and model the way they impact the field and current distribution in magnetic components. The outcomes of this project include 1) a systematic method for modeling and designing complex multi-winding power magnetics; 2) a family of software tools for optimal design of power magnetics; and 3) a group of design examples to demonstrate and validate the effectiveness of the new modeling approach. These outcomes will make the magnetic components in future electric vehicles, computers, renewable energy systems more compact, more efficient, and be able to perform more sophisticated functions. With the theories and methodologies developed in this project, sophisticated magnetic components can be designed and simulated with high accuracy, and fully unlock the potential of WBG devices. This will increase energy efficiency, reduce emissions, and create new societal opportunities. We will work to ensure this outcome by disseminating the results in education, research, and commercialization. There will be impact on research experiences and training of engineering students. Research will be conducted by both undergraduate and graduate students, strengthening their skills in this important area, with participation of under-represented groups especially encouraged. The outcomes of this research will be embedded into the MagNet Project – an international open-source magnetics community effort.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

电力转换器对于从可再生能源集成到交通电气化的广泛应用至关重要，并且是决定所有类型能量转换系统的尺寸、重量和效率的关键因素。磁性元件通常是最大且效率最低的元件。虽然宽带隙（WBG）半导体器件和电路拓扑的发展取得了重大进展，但复杂功率磁性元件的建模和设计方面的必要进展仍然滞后。该项目将进行基础研究。磁学建模理论用于电力磁学的线性和非线性微观和宏观行为分析，将在统一的框架下对绕组中的线性电磁场和电流分布以及电力磁芯材料的非线性磁滞进行建模，以复杂的磁学为目标。将开发具有矩阵耦合磁通和非均匀磁通分布的结构来表征磁性材料中电磁磁滞的复杂行为，并对其影响磁性组件中的磁场和电流分布的方式进行建模。 1) 复杂多绕组电力磁体建模和设计的系统方法；2) 用于电力磁体优化设计的一系列软件工具；3) 一组用于演示和验证新建模方法有效性的设计实例。这些成果将使未来电动汽车、计算机、可再生能源系统中的磁性元件更加紧凑、更加高效，并且能够执行更复杂的功能。利用该项目开发的理论和方法，可以设计和模拟复杂的磁性元件。高精度，充分释放潜力WBG 设备。这将提高能源效率，减少排放，并创造新的社会机会，通过在教育、研究和商业化方面传播成果来确保这一成果。这将对工程学生的研究经验和培训产生影响。研究将由本科生和研究生进行，以加强他们在这一重要领域的技能，特别鼓励代表性不足的群体参与这项研究的成果将被纳入 MagNet 项目——一项国际开源磁学社区的努力。 .该奖项反映了 NSF 的法定使命通过使用基金会的智力优点和更广泛的影响审查标准进行评估，并被认为值得支持。