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Haiping Xu

Researcher at Chinese Academy of Sciences

Publications -  141
Citations -  1856

Haiping Xu is an academic researcher from Chinese Academy of Sciences. The author has contributed to research in topics: Smart grid & Electric vehicle. The author has an hindex of 22, co-authored 129 publications receiving 1611 citations. Previous affiliations of Haiping Xu include University of Illinois at Chicago & University of Illinois at Urbana–Champaign.

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Journal ArticleDOI

Automated Modeling of Dynamic Reliability Block Diagrams Using Colored Petri Nets

TL;DR: A reliability markup language that can be used to formally describe dynamic RBD models is defined and an algorithm that automatically converts a DRBD model into a colored Petri net is presented, providing a potential solution to automated verification of DRBD models.
Journal ArticleDOI

Fuel cell power system and high power DC-DC converter

TL;DR: In this paper, an effective converter scheme for the fuel cell is obtained by analyzing the high efficient topology as well as the phase shifted pulse-width modulation, and a 75kW prototype system is constructed, moreover, which steady-state operating characteristics are illustrated and discussed in detail.
Journal ArticleDOI

A Constant Switching Frequency Multiple-Vector-Based Model Predictive Current Control of Five-Phase PMSM With Nonsinusoidal Back EMF

TL;DR: A constant switching frequency multiple-vector-based FCS-MPCC scheme for multi-phase motor schemes that selects optimal V3s and their duty ratios in two orthogonal subspaces without time-consuming enumeration-based state predictions and cost function calculations is proposed.
Proceedings ArticleDOI

Analysis and design of Bi-directional Z-source inverter for electrical vehicles

TL;DR: In this paper, a new topology for a bi-directional Z-source inverter in DCM mode has been proposed, which can overcome the uncontrollable and unstable limitations of the Zsource inverters.
Journal ArticleDOI

Survey: Combating online in-auction fraud: Clues, techniques and challenges

TL;DR: In this article, the authors summarize commonly seen indicators of in-auction fraud, provide a review of significant contributions in the literature of Internet auction fraud, and identify future challenging research tasks.