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Direct numerical simulation of trans...

Wang, Guoqing.

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Direct numerical simulation of transport and electrochemical reaction in battery and fuel cell electrodes.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Direct numerical simulation of transport and electrochemical reaction in battery and fuel cell electrodes./
作者:	Wang, Guoqing.
面頁冊數:	180 p.
附註:	Source: Dissertation Abstracts International, Volume: 64-07, Section: B, page: 3496.
Contained By:	Dissertation Abstracts International64-07B.
標題:	Engineering, Mechanical. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3097063

Direct numerical simulation of transport and electrochemical reaction in battery and fuel cell electrodes.
Wang, Guoqing.

Direct numerical simulation of transport and electrochemical reaction in battery and fuel cell electrodes. - 180 p.

Source: Dissertation Abstracts International, Volume: 64-07, Section: B, page: 3496.

Thesis (Ph.D.)--The Pennsylvania State University, 2003.

Batteries and fuel cells are widely used to generate electrical energy, especially in recent applications to electric and hybrid vehicles. To simulate a porous electrode for batteries and fuel cells, macro-homogeneous models are often employed in which the actual morphology of the electrode is ignored, thereby making computations much easier. However, such models are based on the volume-averaging technique, which smears the microscopically complex interfacial structures and has to invoke empirical correlations for describing the effective transport properties in a multiphase system.Subjects--Topical Terms:

783786
Engineering, Mechanical.

Direct numerical simulation of transport and electrochemical reaction in battery and fuel cell electrodes.
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100 1 $a Wang, Guoqing. $3 1948632
245 1 0 $a Direct numerical simulation of transport and electrochemical reaction in battery and fuel cell electrodes.
300 $a 180 p.
500 $a Source: Dissertation Abstracts International, Volume: 64-07, Section: B, page: 3496.
500 $a Adviser: Chao-Yang Wang.
502 $a Thesis (Ph.D.)--The Pennsylvania State University, 2003.
520 $a Batteries and fuel cells are widely used to generate electrical energy, especially in recent applications to electric and hybrid vehicles. To simulate a porous electrode for batteries and fuel cells, macro-homogeneous models are often employed in which the actual morphology of the electrode is ignored, thereby making computations much easier. However, such models are based on the volume-averaging technique, which smears the microscopically complex interfacial structures and has to invoke empirical correlations for describing the effective transport properties in a multiphase system.
520 $a In this work, a methodology is developed to achieve the description on the pore level based on direct numerical simulation (DNS) method. The DNS solves the accurate point-wise conservation equations on a real micro-structure of the porous electrode and hence utilizes the intrinsic transport properties for each phase. To demonstrate the DNS method, an idealized morphology and further a random microstructure are constructed to represent all the phases composing the porous electrode. A single set of conservation equations of charge and species valid in all phases are developed and numerically solved using a finite volume technique.
520 $a The present DNS model is first applied to simulate the behavior of an intercalative carbon electrode in the widely used lithium-ion cell. The concentration and potential distributions in both solid and electrolyte phases at the pore level are obtained across the electrode during the discharge. The species and charge transport processes, as well as the electrochemical reactions, are computationally visualized when discharging the electrode. In addition, empirical correlations in porous electrode theory, which describe the dependency of effective properties (diffusion coefficient, conductivity, etc.) on the porosity, are corroborated using the fundamental DNS data. Then the discharge processes of a full lithium ion cell at various rates are simulated with DNS approach and verified by the experimental data.
520 $a In the application to the cathode catalyst layer of PEM fuel cells, DNS is employed to identify three characteristic voltage losses: kinetics losses, ohmic losses and O2 transport losses. On a constructed random microstructure, DNS is also utilized to optimize the inlet air humidity and the composition design and hence achieve the minimum voltage loss during operation. In summary, the newly developed DNS method has provided an effective method to simulate behavior of thin porous electrodes with microscopically complicated geometries and the fundamentals insight into structure-performance relationships of porous electrodes for the first time.
590 $a School code: 0176.
650 4 $a Engineering, Mechanical. $3 783786
650 4 $a Energy. $3 876794
650 4 $a Engineering, Automotive. $3 1018477
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710 2 0 $a The Pennsylvania State University. $3 699896
773 0 $t Dissertation Abstracts International $g 64-07B.
790 1 0 $a Wang, Chao-Yang, $e advisor
790 $a 0176
791 $a Ph.D.
792 $a 2003
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3097063