Nonlinear Behavioral Modeling and Real-Time Simulation of Electric Propulsion System for the High-Fidelity X-in-the-Loop Applications

被引:8
|
作者
Bai, Hao [1 ]
Li, Qian [2 ]
Luo, Huan [3 ]
Huangfu, Yigeng [1 ]
Gao, Fei [2 ]
机构
[1] Northwestern Polytech Univ, Sch Automat, Xian 710072, Peoples R China
[2] Univ Bourgogne Franche Comte, Univ Technol Belfort Montbeliard UTBM, Franche Comte Elect Mech Thermal Sci & Opt Sci & T, French Natl Ctr Sci Res CNRS, F-90010 Belfort, France
[3] Xian Univ Sci & Technol, Sch Mat Sci & Engn, Xian 710054, Peoples R China
基金
中国国家自然科学基金;
关键词
Computational modeling; Integrated circuit modeling; Transient analysis; Real-time systems; Switches; Adaptation models; Biological system modeling; Field-programmable gate arrays; modeling; power electronics; real-time system; simulation; FPGA; EMULATION; CONVERTER; MACHINE; HIL;
D O I
10.1109/TTE.2022.3192872
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The electric propulsion system (EPS) is an important enabling technology for electrified transportation. The short time-to-market of such a system relies on real-time simulation (RTS)-based efficient X-in-the-loop testing. To ensure high fidelity, the RTS should include the detailed behavior as much as possible while complying with the constraints of the model computing time. Therefore, a nonlinear behavioral real-time modeling approach is proposed for the EPS in this article, including the adaptive curve-fitting (ACF)-based device-level power electronics model and the nonlinear flux-linkage-based spatial harmonic (FLSH) PMSM model. The real-time models are designed and implemented on the NI FLEXRIO FPGA module. Ultralow RTS latencies are realized for the ACF power converter model and the FLSH PMSM model, which are 25 and 160 ns, respectively. The simulation accuracies are consistent with the off-line simulation tools. Moreover, the ACF model and the FLSH model are used in the RTS of a fuel cell electric vehicle (FCEV) EPS together with the generic fuel cell model, the battery model, and the vehicle dynamic motion model. The RTS results prove that the proposed EPS real-time model is an excellent candidate for RTS applications.
引用
收藏
页码:1708 / 1722
页数:15
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