Chunhua Liu

Prof. Chunhua Liu

City University of Hong Kong, Hong Kong, China
orcid

Research Focus & Metrics

Academic Career Length

21Years (2006-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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28 May 2008 in IEEE Transactions on Industrial Electronics
Verified
Journal Article
Open access
KCK.T. Chau
K.T. Chau
CCC. C. Chan
C. C. Chan
Chunhua LiuChunhua Liu
Chunhua Liu
With ever-increasing concerns on our environment, there is a fast growing interest in electric vehicles (EVs) and hybrid EVs (HEVs) from automakers, governments, and customers. As electric drives are the core of both EVs and HEVs, it is a pressing need for researchers to develop advanced electric-drive systems. In this paper, an overview of permanent-magnet (PM) brushless (BL) drives for EVs and HEVs is presented, with emphasis on machine topologies, drive operations, and control strategies. Then, three major research directions of the PM BL drive systems are elaborated, namely, the magnetic-geared outer-rotor PM BL drive system, the PM BL integrated starter-generator system, and the PM BL electric variable-transmission system.

30 July 2013 in Proceedings of the IEEE
Verified
Journal Article
Closed access
Chunhua LiuChunhua Liu
Chunhua Liu
KCK.T. Chau
K.T. Chau
DWDiyun Wu
Diyun Wu
SGShuang Gao
Shuang Gao
Electric vehicles (EVs) are regarded as one of the most effective tools to reduce the oil demands and gas emissions. And they are welcome in the near future for general road transportation. When EVs are connected to the power grid for charging and/or discharging, they become gridable EVs (GEVs). These GEVs will bring a great impact to our society and thus human life. This paper investigates and discusses the opportunities and challenges of GEVs connecting with the grid, namely, the vehicle-to-home (V2H), vehicle-to-vehicle (V2V), and vehicle-to-grid (V2G) technologies. The key is to provide the methodologies, approaches, and foresights for the emerging technologies of V2H, V2V, and V2G.

21 May 2007 in IEEE Transactions on Magnetics
Verified
Journal Article
Open access
KCK.T. Chau
K.T. Chau
DZDong Zhang
Dong Zhang
JJJ. Z. Jiang
J. Z. Jiang
Chunhua LiuChunhua Liu
Chunhua Liu
YZYuejin Zhang
Yuejin Zhang
This paper proposes a novel in-wheel motor, which artfully integrates a magnetic gear into a permanent-magnet brushless (PMBL) DC motor so that they can share a common PM rotor, hence offering both high efficiency and high power density. Moreover, the low-speed requirement for direct driving and the high-speed requirement for compact motor design can be achieved simultaneously. A 2-kW 600/4400-rpm magnetic-geared outer-rotor PMBL DC motor is designed and analyzed, which is particularly suitable for battery-powered electric motorcycles

10 December 2020 in Proceedings of the IEEE
Verified
Journal Article
Closed access
Chunhua LiuChunhua Liu
Chunhua Liu
KCK.T. Chau
K.T. Chau
Christopher H. T. LeeChristopher H. T. Lee
Christopher H. T. Lee
Zaixin SongZaixin Song
Zaixin Song
Transportation electrification has attracted much attention in modern society. Among all electrified transportation tools, electric vehicle (EV) is absolutely the one that has great potential to compete with and further take the place of traditional fossil fuel vehicles. This article is to outline and investigate advanced electric machines and their control strategies for EV applications. The key is not only to reveal new design ideas, topologies, structures, methodologies, control strategies, pros and cons, and foresight for advanced electric machines but also to fully integrate these ideas into practical EV applications. This critical review will clarify the development trends of electric machines and their controls.

20 May 2010 in IEEE Transactions on Magnetics
Verified
Journal Article
Open access
JLJiangui Li
Jiangui Li
KCK.T. Chau
K.T. Chau
JJJ. Z. Jiang
J. Z. Jiang
Chunhua LiuChunhua Liu
Chunhua Liu
WLWenlong Li
Wenlong Li
This paper proposes a new outer-rotor permanent-magnet (PM) vernier machine for direct-drive wind power generation, which can offer low-speed operation to directly capture wind power, and enable high-speed rotating field design to maximize the power density. Compared with its mechanical gear counterpart, the proposed machine can eliminate the mechanical wear and tear as well as gear transmission loss, thus improving the generation reliability and efficiency. The key is to newly introduce the flux-modulation poles which can effectively modulate the high-speed rotating field of the armature windings and the low-speed rotating field of the PM outer rotor. By using the time-stepping finite-element method, the proposed machine can be accurately analyzed. Hence, its performances are quantitatively compared with other PM vernier machines, thus verifying its validity.

20 February 2020 in IEEE Transactions on Industrial Electronics
Verified
Journal Article
Closed access
SLsenyi liu
senyi liu
Chunhua LiuChunhua Liu
Chunhua Liu
Parameter mismatches in control scheme would cause the additional harmonic components and torque ripples in PMSM. Moreover, there is additional leakage inductance mismatch in dual three-phase PMSM when comparing with its three-phase counterparts. Then, in order to release the parameter dependence of model predictive control (MPC) in application of dual three-phase PMSM, this paper proposes a robust model predictive current control (MPCC) scheme. Firstly, the parameter sensitivity of conventional MPC in dual three-phase PMSM is discussed. Then, an incremental predictive model is applied to reject the influence of flux mismatch. Additionally, the concept of virtual vectors is introduced to deal with the influence of leakage inductance. In this case, the predictive errors are the result of inductance mismatches. Therefore, the inductance information could be obtained through the predictive errors. Finally, a discrete inductance compensation system is applied to update inductance. Comparative simulation and experimental results both verify that proposed robust MPCC scheme could estimate the inductance information and eliminate the influence of parameter mismatches.