Improving electric vehicle battery cooling efficiency with nanofluid and vibration integration: a novel thermal management approach

IF 3 3区 工程技术 Q2 CHEMISTRY, ANALYTICAL Journal of Thermal Analysis and Calorimetry Pub Date : 2024-07-31 DOI:10.1007/s10973-024-13413-z
Suvanjan Bhattacharyya, Tapasvi Bhatt, Abdel El Abed, Rachid Bennacer
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Abstract

The cooling system of an electric vehicle can be affected in various ways by vibrations, potentially impacting its performance and reliability. This encompasses damage to the components, potential leaks, noise, and discomfort, which may impact the performance. The impact of vibrations on electric vehicle cooling systems utilizing nanofluids as their primary working fluids remains insufficiently explored. Ongoing research aims to elucidate the specific influence of vibrations on these cooling systems implemented in such vehicles. The study of vibrations with amplitudes of up to 5 mm and frequencies of up to 25 Hz has been conducted. In the numerical model, a 2% volume concentration Al2O3 solution was utilized as the working fluid, with water serving as the base fluid, and Reynolds numbers ranging from 10,000 to 20,000 in the turbulent regime. The present study is focused on performing exergy and entropy analysis utilizing the second law. On inducing vibration onto the system, the Nusselt number rises to a maximum of 170% compared to the static tube. Entropy generation increases with increasing intensity of vibration. A similar trend is observed for second law efficiency which reaches a maximum of 60.81% at 5 mm amplitude and 25 Hz frequency at 20,000 Reynolds number. But with increasing intensity of vibration, dimensionless number of irreversibility (\(\phi\)) shows a negative trend with a minimum of 0.715 at 25 Hz frequency and 5 mm amplitude of vibration. Introducing controlled vibrations can significantly enhance system availability and efficiency, leading to considerable improvements in energy usage and cost-effectiveness.

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利用纳米流体和振动集成提高电动汽车电池冷却效率:一种新型热管理方法
电动汽车的冷却系统可能会受到振动的各种影响,从而可能影响其性能和可靠性。这包括部件损坏、潜在泄漏、噪音和不适,这些都可能影响性能。振动对使用纳米流体作为主要工作流体的电动汽车冷却系统的影响仍未得到充分探讨。正在进行的研究旨在阐明振动对此类车辆冷却系统的具体影响。我们对振幅高达 5 毫米、频率高达 25 赫兹的振动进行了研究。在数值模型中,使用体积浓度为 2% 的 Al2O3 溶液作为工作流体,水作为基础流体,湍流状态下的雷诺数范围为 10,000 到 20,000。本研究的重点是利用第二定律进行放能和熵分析。与静态管子相比,在对系统进行振动时,努塞尔特数最大上升了 170%。熵的产生随着振动强度的增加而增加。第二定律效率也呈现出类似的趋势,在雷诺数为 20,000 时,振幅为 5 毫米、频率为 25 赫兹时,第二定律效率达到最大值 60.81%。但随着振动强度的增加,不可逆的无量纲数(\(\phi\))呈现负值趋势,在频率为 25 Hz、振幅为 5 mm 时最小值为 0.715。引入可控振动可显著提高系统的可用性和效率,从而大大改善能源使用和成本效益。
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来源期刊
CiteScore
8.50
自引率
9.10%
发文量
577
审稿时长
3.8 months
期刊介绍: Journal of Thermal Analysis and Calorimetry is a fully peer reviewed journal publishing high quality papers covering all aspects of thermal analysis, calorimetry, and experimental thermodynamics. The journal publishes regular and special issues in twelve issues every year. The following types of papers are published: Original Research Papers, Short Communications, Reviews, Modern Instruments, Events and Book reviews. The subjects covered are: thermogravimetry, derivative thermogravimetry, differential thermal analysis, thermodilatometry, differential scanning calorimetry of all types, non-scanning calorimetry of all types, thermometry, evolved gas analysis, thermomechanical analysis, emanation thermal analysis, thermal conductivity, multiple techniques, and miscellaneous thermal methods (including the combination of the thermal method with various instrumental techniques), theory and instrumentation for thermal analysis and calorimetry.
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