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Jennifer X. Wen

Bio: Jennifer X. Wen is an academic researcher from University of Warwick. The author has contributed to research in topics: Combustion & Large eddy simulation. The author has an hindex of 27, co-authored 169 publications receiving 2334 citations. Previous affiliations of Jennifer X. Wen include Kingston University & Coventry Health Care.


Papers
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Journal ArticleDOI
TL;DR: In this article, a phase change material (PCM) and fin structure was proposed for LiFePO4 battery module to reduce the maximum temperature and improve the temperature uniformity in high-temperature environment.

209 citations

Journal ArticleDOI
TL;DR: In this paper, a coupled composite phase change material and liquid cooling thermal management system is proposed to improve the working performance of the lithium-ion battery pack in continuous operation under different ambient temperatures.

177 citations

Journal ArticleDOI
TL;DR: In this article, thermal behavior and potential flame spread over seven 50 A h Li(Ni1/3Mn 1/3Co1/ 3)O2/Li4Ti5O12 large format batteries arranged in rhombus and parallel layouts were investigated by directly heating one of the battery units.

155 citations

Journal ArticleDOI
TL;DR: In this article, a fire dynamics simulator (FDS) was applied to simulate a medium-scale methanol pool fire and the results showed that the simulation used predominantly the existing features in FDS except that an additional subgrid-scale combustion model based on the laminar flamelet approach of Cook AW and Riley JJ [Combust and Flame 1998;112:593-606] was used alongside the default mixture fraction combustion model for comparison.

109 citations

Journal ArticleDOI
TL;DR: In this article, the implicit large eddy simulation (ILES) approach was used with the 5th-order weighted essentially non-oscillatory (WENO) scheme.

102 citations


Cited by
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01 Apr 1992
TL;DR: In this paper, the authors proposed a monotone integrated large eddy simulation approach, which incorporates a form of turbulence modeling applicable when the large-scale flows of interest are intrinsically time dependent, thus throwing common statistical models into question.
Abstract: Fluid dynamic turbulence is one of the most challenging computational physics problems because of the extremely wide range of time and space scales involved, the strong nonlinearity of the governing equations, and the many practical and important applications. While most linear fluid instabilities are well understood, the nonlinear interactions among them makes even the relatively simple limit of homogeneous isotropic turbulence difficult to treat physically, mathematically, and computationally. Turbulence is modeled computationally by a two-stage bootstrap process. The first stage, direct numerical simulation, attempts to resolve the relevant physical time and space scales but its application is limited to diffusive flows with a relatively small Reynolds number (Re). Using direct numerical simulation to provide a database, in turn, allows calibration of phenomenological turbulence models for engineering applications. Large eddy simulation incorporates a form of turbulence modeling applicable when the large-scale flows of interest are intrinsically time dependent, thus throwing common statistical models into question. A promising approach to large eddy simulation involves the use of high-resolution monotone computational fluid dynamics algorithms such as flux-corrected transport or the piecewise parabolic method which have intrinsic subgrid turbulence models coupled naturally to the resolved scales in the computed flow. The physical considerations underlying and evidence supporting this monotone integrated large eddy simulation approach are discussed.

849 citations

Journal ArticleDOI
TL;DR: In this paper, the authors provide a comprehensive review of the thermal runaway phenomenon and related fire dynamics in singe and multi-cell battery packs, as well as potential fire prevention measures.

667 citations

Journal ArticleDOI
TL;DR: In this paper, the main existing safety and reliability challenges in hydrogen systems are reviewed, and the current state-of-the-art in safety analysis for hydrogen storage and delivery technologies is discussed, and recommendations are mentioned to help providing a foundation for future risk and reliability analysis to support safe, reliable operation.

513 citations

Journal ArticleDOI
TL;DR: In this paper, a review summarizes aspects of battery safety and discusses the related issues, strategies, and testing standards, concluding with insights into potential future developments and the prospects for safer lithium-ion batteries.

434 citations

Journal ArticleDOI
TL;DR: In this paper, the authors investigate problems of numerical simulations precision and stochastic errors accumulation in solving problems of detonation or deflagration combustion of gas mixtures in rocket engines.

425 citations