K
Kai Ding
Researcher at Hong Kong Polytechnic University
Publications - 36
Citations - 1163
Kai Ding is an academic researcher from Hong Kong Polytechnic University. The author has contributed to research in topics: Voltage & Electric vehicle. The author has an hindex of 8, co-authored 36 publications receiving 919 citations.
Papers
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Journal ArticleDOI
Battery-Management System (BMS) and SOC Development for Electrical Vehicles
TL;DR: A typical BMS block diagram has been proposed using various functional blocks, and the state of charge (SOC) estimation has been implemented using Coulomb counting and open-circuit voltage methods, thereby eliminating the limitation of the stand-alone Coulomb count method.
Journal ArticleDOI
A step-up switched-capacitor multilevel inverter with self-voltage balancing
TL;DR: The objective of this paper is to propose a new inverter topology for a multilevel voltage output based on a switched capacitor technique, which is not only very simple and easy to be extended to a higher level, but also its gate driver circuits are simplified because the number of active switches is reduced.
Journal ArticleDOI
Analysis of an asymmetric modulation method for cascaded multilevel inverters
TL;DR: In this paper, an analysis of the modulation process for subharmonic pulse width modulation (SHPWM) and asymmetric modulation method (AMM) is presented, which is derived from hybrid modulation method.
Proceedings ArticleDOI
A Novel Detection Method for Voltage Sags
Kai Ding,Ka Wai Eric Cheng,Xiangdang Xue,B.P. Divakar,C. D. Xu,Y.B. Che,Wang Daohong,P. Dong +7 more
TL;DR: In this article, a voltage sag detection method based on miss voltage technique is proposed, which is efficient and fast and can be used to determine the initiation and recovery of voltage sags accompanied by missing voltage technique.
Proceedings Article
Battery management system and control strategy for hybrid and electric vehicle
B.P. Divakar,Ka Wai Eric Cheng,H.J. Wu,J. Xu,H.B. Ma,W. Ting,Kai Ding,W. F. Choi,B.F. Huang,C.H. Leung +9 more
TL;DR: In this paper, a battery management system (BMS) for hybrid electrical vehicles is presented, which is equipped with a battery model in which SOC is used as one of the states to overcome the limitation of stand-alone coulomb counting method for SOC estimation.