电力电子与电机系统的“电-机-热”多学科能量统一建模及分析

doi:10.19595/j.cnki.1000-6753.tces.241714

Abstract
Figure/Table
References
Related Citation (15)

Download: PDF (4470 KB) HTML (1 KB)
Export: BibTeX | EndNote (RIS)

Abstract Power electronics and electric machine systems are vital to modern power engineering and automation technologies. By integrating power electronics devices with electric machines, their speed controllability and accuracy are greatly enhanced, broadening application fields like wind power, high-speed rail, electric vehicles, and other domains. Although traditional methods for analyzing and designing electric machines are already well established, the large-scale incorporation of power electronics components in these systems has significantly increased their complexity. It introduces continuous-discrete hybrid system characteristics, multi-timescale dynamics, and tighter multidisciplinary interactions. As a result, both industry and academia face challenges in the holistic design and inter disciplinary optimization of power electronics and electric machine systems. An efficient and accurate numerical simulation method and platform are indispensable to investigating the complex, intertwined behaviors across different domains within these systems.
In multidisciplinary modeling of power electronics and electric machine systems, the principal difficulty lies in unifying models for electrical, mechanical, thermal, and other domains while accommodating the continuous-discrete hybrid characteristics introduced by the widespread use of power electronics. This work addresses the multidisciplinary modeling of power electronic and electric machine systems by building mechanical, thermal, and other domain-specific physical models upon a circuit-based state-space modeling approach and a discrete-state-event-driven (DSED) simulation framework.
Toward this goal, two key issues need to be resolved. In the context of state-space-based circuit models, the first is to develop physical-level models for other domains so that all domains share a unified representation. The second is to design the interfaces among different domains to enable effective interconnection. This work adopts the energy-unifying concept. First, leveraging energy consistency, state variables in various domains are classified into across and through variables. With the two variables, the constitutive equations, power, and energy representation of multidisciplinary components can be expressed in a uniform form. Moreover, Kirchhoff's laws can be generalized for mechanical and thermal systems with a topology expression. Consequently, topologies and models from other domains can be presented as equivalent circuit topologies and models, thus realizing multidisciplinary modeling within a circuit-based framework. The connection interfaces between domains based on through and across variables and energy conservation are designed as a pair of across and through sources. The interface characterizes the energy conversion processes across domains while following energy conservation laws. Focusing on power electronics and electric machine systems, this work analyzes the frequently used components from the energy transmission and conversion perspective and provides concrete interface representations. Finally, the paper demonstrates the proposed multidisciplinary modeling approach and interface design using a specific wind power generation system as an example.

Key words： Power electronics electric machine system multidisciplinary modeling energy

Received: 04 October 2024

PACS:

TM614

	Service

	E-mail this article
	Add to my bookshelf
	Add to citation manager
	E-mail Alert
	RSS
	Articles by authors
	Jia Shengyu
	Shi Bochen
	Zhao Zhengming
	Yuan Liqiang
	Liu Zhuang
	Pei Jiayao

Cite this article:

Jia Shengyu,Shi Bochen,Zhao Zhengming等. Multidisciplinary Energy Unified Modeling and Analysis of Electric-Mechanic-Heat System for Power Electronics and Electric Machine Systems[J]. Transactions of China Electrotechnical Society, 2025, 40(20): 6577-6590.

URL:

https://dgjsxb.ces-transaction.com/EN/10.19595/j.cnki.1000-6753.tces.241714 OR https://dgjsxb.ces-transaction.com/EN/Y2025/V40/I20/6577

[1] Kassakian J G, Jahns T M.Evolving and emerging applications of power electronics in systems[J]. IEEE Journal of Emerging and Selected Topics in Power Electronics, 2013, 1(2): 47-58.
[2] 申刘飞, 翟雨佳, 吴星徵, 等. 海上超导风电制氢一体化研究进展与发展趋势[J]. 电工技术学报, 2025, 40(11): 3362-3380.
Shen Liufei, Zhai Yujia, Wu Xingzheng, et al.progress and development trend of integrated research on hydrogen production from offshore super- conducting wind power[J]. Transactions of China Electrotechnical Society, 2025, 40(11): 3362-3380.
[3] Emadi A, Lee Y J, Rajashekara K.Power electronics and motor drives in electric, hybrid electric, and plug-in hybrid electric vehicles[J]. IEEE Transactions on Industrial Electronics, 2008, 55(6): 2237-2245.
[4] Ning Puqi, Li Huakang, Huang Yunhao, et al.Review of power module automatic layout optimization methods in electric vehicle applications[J]. Chinese Journal of Electrical Engineering, 2020, 6(3): 8-24.
[5] Blaabjerg F, Ma Ke.Future on power electronics for wind turbine systems[J]. IEEE Journal of Emerging and Selected Topics in Power Electronics, 2013, 1(3): 139-152.
[6] 赵泽洋, 刘亚坤. 考虑风电场需求的广域水平风速与雷电活动特征分析[J]. 电工技术学报, 2024, 39(11): 3467-3474.
Zhao Zeyang, Liu Yakun.Characteristics of wide-area horizontal wind speed and lightning activity for wind farms[J]. Transactions of China Electrotechnical Society, 2024, 39(11): 3467-3474.
[7] Shi Bochen, Zhao Zhengming, Zhu Yicheng, et al.A numerical convex lens for the state-discretized modeling and simulation of megawatt power electronics systems as generalized hybrid systems[J]. Engineering, 2021, 7(12): 1766-1777.
[8] Shi Bochen, Zhao Zhengming, Tan D, et al.Integral control of megawatt power electronic systems as generalized hybrid systems[J]. IEEE Journal of Emerging and Selected Topics in Power Electronics, 2022, 10(4): 4254-4274.
[9] 关涛, 刘大猛, 何永勇. 永磁轮毂电机技术发展综述[J]. 电工技术学报, 2024, 39(2): 378-396.
Guan Tao, Liu Dameng, He Yongyong.Review on development of permanent magnet in-wheel motors[J]. Transactions of China Electrotechnical Society, 2024, 39(2): 378-396.
[10] Tokgoz F, Gülsuna Ö, Karakaya F, et al.Mechanical and thermal design of an optimized PCB motor for an integrated motor drive system with GaNFETs[J]. IEEE Transactions on Energy Conversion, 2023, 38(1): 653-661.
[11] Theubou T, Wamkeue R, Kamwa I.Dynamic model of diesel generator set for hybrid wind-diesel small grids applications[C]//2012 25th IEEE Canadian Conference on Electrical and Computer Engineering (CCECE), Montreal, QC, Canada, 2012: 1-4.
[12] 余洋, 张千慧, 庞淇文, 等. 考虑时滞的涡簧储能用永磁同步电机反推控制[J]. 电机与控制学报, 2024, 28(10): 1-12.
Yu Yang, Zhang Qianhui, Pang Qiwen, et al.Back- stepping control of permanent magnet synchronous machine for spiral spring energy storage considering time delay[J]. Electric Machines and Control, 2024, 28(10): 1-12.
[13] 李伟力, 乔田怀, 李亚磊, 等. 汽轮发电机带有交替径向风道的转子流体与传热耦合分析[J]. 电机与控制学报, 2024, 28(2): 11-20.
Li Weili, Qiao Tianhuai, Li Yalei, et al.Coupling analysis of fluid flow and heat transfer in turbo- generator rotor with alternate radial ventilation ducts[J]. Electric Machines and Control, 2024, 28(2): 11-20.
[14] Keyes D E, McInnes L C, Woodward C, et al. Multi- physics simulations[J]. The International Journal of High Performance Computing Applications, 2013, 27(1): 4-83.
[15] Chen Junqing, Chen Zhiming, Cui Tao, et al.An adaptive finite element method for the eddy current model with circuit/field couplings[J]. SIAM Journal on Scientific Computing, 2010, 32(2): 1020-1042.
[16] De Gersem H, Hameyer K, Weiland T.Field-circuit coupled models in electromagnetic simulation[J]. Journal of Computational and Applied Mathematics, 2004, 168(1/2): 125-133.
[17] 李响, 郭鹏涛, 丁远. 基于场路结合的大功率直线超声波电机压电-热-结构多物理场分析[J]. 电工技术学报, 2024, 39(2): 423-433.
Li Xiang, Guo Pengtao, Ding Yuan.Piezo-thermal- structure coupling analysis for high-power linear ultrasonic motor based on field-circuit combination method[J]. Transactions of China Electrotechnical Society, 2024, 39(2): 423-433.
[18] 马利波, 赵洪山, 余洋, 等. 基于因果序图的氢能一体化电站运行过程建模及能量流控制策略[J]. 电工技术学报, 2024, 39(16): 5220-5237.
Ma Libo, Zhao Hongshan, Yu Yang, et al.Operation process modeling and energy flow control strategy of integrated hydrogen energy power station based on causal ordering graph[J]. Transactions of China Electrotechnical Society, 2024, 39(16): 5220-5237.
[19] Apostoaia C M, Cernat M.Fault detection in syn- chronous motor drives, a co-simulation approach[C]// 2015 Intl Aegean Conference on Electrical Machines & Power Electronics (ACEMP), 2015 Intl Conference on Optimization of Electrical & Electronic Equipment (OPTIM) & 2015 Intl Symposium on Advanced Elec- tromechanical Motion Systems (ELECTROMOTION), Side, Turkey, 2015: 617-622.
[20] Chen Yingdong, Fang Zhou, Chen Kaiwen, et al.Design and co-simulation of high-speed permanent magnet brushless DC motor[C]//2022 IEEE 9th Inter- national Conference on Power Electronics Systems and Applications (PESA), Hong Kong, China, 2022: 1-4.
[21] Zhao Yuan, Li Shen, Zhao Lijuan, et al.Sliding-mode control of permanent magnetic spherical motor based on co-simulation platform[C]//2016 IEEE 11th Con- ference on Industrial Electronics and Applications (ICIEA), Hefei, China, 2016: 119-123.
[22] Fritzson P A.Principles of object-oriented modeling and simulation with modelica 2.1[M]. New York: IEEE Press; Wiley-Interscience, 2004.
[23] Kosenko I I, Loginova M S, Obraztsov Y P, et al.Multibody systems dynamics: modelica imple- mentation and bond graph representation[C]// Proceedings of the 5th International Modelica ConferenceVienna, Austria, 2006.
[24] Borutzky W.Bond graph modelling of engineering systems: theory, applications and software support. New York: Springer New York, 2011.
[25] Yu Zhujun, Zhao Zhengming, Shi Bochen, et al.An automated semi-symbolic state equation generation method for simulation of power electronic systems[J]. IEEE Transactions on Power Electronics, 2021, 36(4): 3946-3956.
[26] Chen Kainan, Zhao Zhengming, Yuan Liqiang, et al.The impact of nonlinear junction capacitance on switching transient and its modeling for SiC MOSFET[J]. IEEE Transactions on Electron Devices, 2015, 62(2): 333-338.
[27] Liu Tianjiao, Ning Runtao, Wong T, et al.Modeling and analysis of SiC MOSFET switching oscil- lations[J]. IEEE Journal of Emerging and Selected Topics in Power Electronics, 2016: 1.
[28] Shi Bochen, Zhao Zhengming, Zhu Yicheng.Piece- wise analytical transient model for power switching device commutation unit[J]. IEEE Transactions on Power Electronics, 2019, 34(6): 5720-5736.
[29] 李洁, 党晓圆, 李辉. 计及非线性寄生参数的SiC MOSFET开关暂态模型[J]. 电力电子技术, 2024, 58(2):137-140
Li Jie, Dang Xiaoyuan, Li Hui.Transient model of SiC MOSFET switching process considering non- linear Parasitic parameters[J]. Power Electronics, 2024, 58(2): 137-140.
[30] Zhu Yicheng, Zhao Zhengming, Shi Bochen, et al.Discrete state event-driven framework with a flexible adaptive algorithm for simulation of power electronic systems[J]. IEEE Transactions on Power Electronics, 2019, 34(12): 11692-11705.
[31] Shi Bochen, Zhao Zhengming, Ju Jiahe, et al.Switching transient simulation and system efficiency evaluation of megawatt power electronics converter with discrete state event-driven approach[J]. IEEE Transactions on Industrial Electronics, 2022, 69(3): 2180-2190.
[32] Tratkanov D.Geometric and energy-based methods for modeling and simulation of multi-physics systems in electrical engineering.
[33] Wang Yong, Gope D, Jandhyala V, et al.Generalized Kirchoff's current and Voltage law formulation for coupled circuit-electromagnetic Simulation with surface Integral equations[J]. IEEE Transactions on Microwave Theory and Techniques, 2004, 52(7): 1673-1682.
[34] Firestone F A.A new analogy between mechanical and electrical systems[J]. The Journal of the Acoustical Society of America, 1933, 4(3): 249-267.
[35] Jia Shengyu, Zhao Zhengming, Shi Bochen, et al.An event-driven modeling and simulation approach for power electronics systems with multiphysics com- ponents[C]//2024 IEEE 33rd International Symposium on Industrial Electronics (ISIE), Ulsan, Korea, Republic of, 2024: 1-6.
[36] Petersson A.Analysis, modeling and control of doubly-fed induction generators for wind turbines[M]. Chalmers Tekniska Hogskola (Sweden), 2005.
[37] Muyeen S M, Ali M H, Takahashi R, et al.Blade- shaft torsional oscillation minimization of wind turbine generator system by using STATCOM/ ESS[C]//2007 IEEE Lausanne Power Tech, Lausanne, Switzerland, 2007: 184-189.
[38] Ma Ke, He Ning, Liserre M, et al.Frequency-domain thermal modeling and characterization of power semiconductor devices[J]. IEEE Transactions on Power Electronics, 2016, 31(10): 7183-7193.