单纳米流体和混合纳米流体在高放电率和不同驱动循环条件下在液体电池热管理系统中的性能研究

IF 8.9 2区 工程技术 Q1 ENERGY & FUELS
Abdelrahman Gasmelseed , Mhadi A. Ismael , Mior A. Said , Faiz Ahmad
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引用次数: 0

摘要

随着电动汽车电力需求的快速增长,需要更新、更高效的热管理系统来保持电动汽车电池温度在20 - 40°C的最佳范围内,以确保安全高效运行。为了满足这些要求,本研究对两个圆柱形锂离子电池模块(每个模块有12个和100个电池单元)的纳米流体液体BTMS的整体性能进行了研究。在WLTC3和NEDC驱动循环中,使用3C放电率以及稳定和可变放电率进行了分析。研究了三种不同体积浓度(1%、2%、3%)下的纳米颗粒类型(SWCNT、Fe3O4 TiO2和Cu TiO2),并与基础流体(水)进行了比较,评估考虑了四种不同的雷诺数值,评估基于最高温度和温差、压降、努塞尔数,以及考虑纳米流体传热增强和压降增加的性能因素。基于性能评价,BTMS的性能与流动雷诺数成正比,最佳纳米流体为swcnts水纳米流体,浓度为3%,与水相比,最高温度和温差分别降低3.56%和13.81%,性能因子为1.58。此外,考虑到所研究的两种驱动循环条件,与水相比,swcnts水纳米流体将最高温度和温差分别降低了0.5%和3.3%,导致努塞尔数提高了80.13%,证明了在不同驱动条件下使用纳米流体BTMS的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Performance investigation of mono and hybrid nanofluids in a liquid battery thermal management system under high discharge rate and different drive cycle conditions
With the rapid increase in electric vehicles (EVs) power demand, newer and more efficient thermal management systems are required to maintain the EV battery temperature within the optimum range between 20 and 40 °C to ensure a safe and efficient operation. To address these requirements, this study investigated the overall performance of a nanofluid liquid BTMS for two cylindrical lithium-ion battery modules with 12 and 100 battery cells each. The analysis was conducted using a 3C discharge rate as well as steady and variable discharge rates for WLTC3 and NEDC drive cycles. Three nanoparticle types (SWCNT, Fe3O4 TiO2, and Cu TiO2) were investigated under three different volumetric concentrations (1 %, 2 %, 3 %) and compared to the base fluid (water), the assessment considered four different Reynolds number values, and the evaluation was based on the maximum temperature and temperature difference, pressure drop, Nusselt number, in addition to a performance factor which takes into account the nanofluid heat transfer enhancement and the pressure drop increase. Based on the performance evaluation, the BTMS performance is found to be directly proportional to the flow Reynolds number and the optimum nanofluid is found to be SWCNT water nanofluid with 3 % concentration, compared to water, it achieved a 3.56 % and 13.81 % reduction in maximum temperature and temperature difference respectively, yielding a performance factor of 1.58. Furthermore, considering the two investigated drive cycle conditions, the SWCNT water nanofluid lowered the maximum temperature and temperature difference by 0.5 % and 3.3 % respectively leading to an 80.13 % enhancement in Nusselt number compared to water, proving the effectiveness of using the proposed nanofluid BTMS under diverse driving conditions.
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来源期刊
Journal of energy storage
Journal of energy storage Energy-Renewable Energy, Sustainability and the Environment
CiteScore
11.80
自引率
24.50%
发文量
2262
审稿时长
69 days
期刊介绍: Journal of energy storage focusses on all aspects of energy storage, in particular systems integration, electric grid integration, modelling and analysis, novel energy storage technologies, sizing and management strategies, business models for operation of storage systems and energy storage developments worldwide.
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