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Daming Zhou
Researcher at Northwestern Polytechnical University
Publications - 30
Citations - 1319
Daming Zhou is an academic researcher from Northwestern Polytechnical University. The author has contributed to research in topics: Proton exchange membrane fuel cell & Battery (electricity). The author has an hindex of 15, co-authored 30 publications receiving 898 citations. Previous affiliations of Daming Zhou include Centre national de la recherche scientifique & Universite de technologie de Belfort-Montbeliard.
Papers
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Journal ArticleDOI
Online energy management strategy of fuel cell hybrid electric vehicles based on data fusion approach
TL;DR: Experimental comparison results show that, the proposed PSVM-DS based online controller can achieve a relatively stable operation and a higher efficiency of fuel cell system in real driving cycles.
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Online Energy Management Strategy of Fuel Cell Hybrid Electric Vehicles: A Fractional-Order Extremum Seeking Method
TL;DR: Experimental results show that, by using the presented fractional-order ES approach, the operation points of a proton exchange membrane fuel cell stack system can be effectively controlled in its maximum efficiency area and the fuel cell system durability can be improved.
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A comparative study of extremum seeking methods applied to online energy management strategy of fuel cell hybrid electric vehicles
TL;DR: In this article, a comparative study of different extremum seeking method (ESM) schemes for online energy management strategy of fuel cell hybrid electric vehicles (FCHEVs) is presented.
Journal ArticleDOI
Online remaining useful lifetime prediction of proton exchange membrane fuel cells using a novel robust methodology
TL;DR: A novel robust prognostic approach that contains three phases for degradation prediction of proton exchange membrane fuel cell performance and its remaining useful lifetime (RUL) estimation and the remaining nonlinear pattern of stationary time series can guarantee a good convergence performance of TDNN.
Journal ArticleDOI
Degradation prediction of PEM fuel cell using a moving window based hybrid prognostic approach
Daming Zhou,Daming Zhou,Daming Zhou,Fei Gao,Fei Gao,Elena Breaz,Elena Breaz,Elena Breaz,Alexandre Ravey,Alexandre Ravey,Abdellatif Miraoui +10 more
TL;DR: In this paper, an innovative robust prediction algorithm for performance degradation of proton exchange membrane fuel cell (PEMFC) is proposed based on a combination of model-based and data-driven prognostic method, in which a novel approach using the moving window method is applied, in order to train the developed models; update the weight factors of each method and further fuse the predicted results iteratively.