Prediction of the Heat Transfer Coefficient in Direct Oil Cooling of Lithium-Ion Batteries

R. Camilleri, Mahmoud Sawani
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引用次数: 3

Abstract

This paper presents the prediction of the heat transfer coefficient (HTC) in a direct oil cooled battery packs. The HTC is a critical parameter which is required for accurate thermal modelling of the battery pack and a precise thermal management system. The paper investigates direct oil cooling on cylindrical 18650 type battery cells. To increase the volumetric efficiency and energy density of the pack, the flow orientation is turned by 90° such that the coolant flows along the length of the cells, through the gaps formed between closely packed in-line cylindrical cells. The paper finds that direct oil cooling suffers from a large entry length during which the boundary layer is still developing. This requires correlations for developing flows to be used. When compared to CFD results, the Seider Tate equation was found to be within 8% at 100 < Re < 140. This however produces over prediction of around 60% at 100 < Re. In this regime, the turbulent equation was found to perform better, most likely due to similarities in boundary layer at this early stage.
锂离子电池油直接冷却传热系数的预测
本文对直接油冷电池组的传热系数进行了预测。HTC是电池组精确热建模和精确热管理系统所需的关键参数。本文研究了圆柱型18650电芯的直接油冷却。为了提高电池组的体积效率和能量密度,流动方向被转向90°,使冷却剂沿着电池组的长度流动,通过紧密排列的圆柱形电池组之间形成的间隙。研究发现,直接油冷却的入口长度较大,在此期间边界层仍在发展。这需要使用开发流的相关性。与CFD结果比较,发现在100 < Re < 140时,Seider Tate方程的误差在8%以内。然而,这在100 < Re时产生了大约60%的过度预测。在这个状态下,湍流方程被发现表现得更好,很可能是由于早期阶段边界层的相似性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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