Jianzhen Qu
Harbin Institute of Technology
10 Papers
2 Citations
Jianzhen Qu is an academic researcher from Harbin Institute of Technology. The author has contributed to research in topics: Capacitor & Inductor. The author has an hindex of 1, co-authored 7 publications.
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Papers
Design of a Paralleled SiC MOSFET Half-Bridge Unit With Distributed Arrangement of DC Capacitors
TL;DR: In this article, a paralleled half-bridge unit is proposed to improve the transient current sharing performance, which is characterized by a distributed arrangement of dc capacitors, and the traditional power layout is optimized by the ANSYSEM cosimulation techniques.
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A Computationally Efficient Surrogate Model Based Robust Optimization for Permanent Magnet Synchronous Machines
TL;DR: A sequential sampling Kriging model is adopted to estimate the design robustness, and the problem of high-dimensional variables for the surrogate model due to uncertainties is avoided through adopting the worst-case based approach.
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Conducted EMI Investigation of a SiC-Based Multiplexing Converter for EV/PHEV
TL;DR: In this paper, the conducted electromagnetic interference (EMI) characteristics of an on-board multiplexing converter that utilizes paralleled silicon carbide (SiC) devices to achieve high efficiency and high power density for the application in electric vehicles and plug-in hybrid electric vehicles (PHEVs).
An All-SiC 15 kW/L 60 kW Multiplexing Converter for Electric Vehicles
Jianzhen Qu,Yifan Yu,Qianfan Zhang,Shumei Cui +3 more
- 29 Nov 2020
TL;DR: In this paper, an on-board multiplexing converter that utilizes silicon carbide (SiC) devices to achieve high efficiency and high density for the application in electric vehicles and plug-in hybrid electric vehicles (PHEVs).
3
Torque Ripple Reduction Method for Interior Permanent Magnet Synchronous Machine Drives with Minimal Loss
Jianzhen Qu,Pinjia Zhang,Cheng Zhang,Shu Zhang +3 more
- 09 Oct 2022
TL;DR: In this article , a torque ripple reduction method for IPMSM drives with minimal machine loss is presented, based on the torque ripple model and the extended harmonic iron loss model, which takes into account conduction copper loss and iron loss by the injected harmonic currents.
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