Lithium-ion battery module performance improvements by using nanodiamond-FE3O4 water/ethylene glycol hybrid nanofluid and fins

Dilbaz, Furkan; Selimefendigil, Fatih; Öztop, Hakan F.

doi:10.1007/s10973-022-11269-9

Cited by 21 publications

(9 citation statements)

References 34 publications

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“…The Grey relational grades (GRG þ and GRG À ) are computed simply by averaging the corresponding Grey relation coefficients as presented in Equations ( 21) and (22). The alternative rankings based on corresponding performance indices (computed using Equation ( 23)) are tabulated in Tables 18-21 for all applied methodologies.…”

Section: Gra-topsis Methodsmentioning

confidence: 99%

Selection of nanoparticles for battery thermal management system using integrated multiple criteria decision‐making approach

Dwivedi

Kumar

Goel

2022

Intl J of Energy Research

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Summary The selection of suitable nanoparticles is an important task for their applications as heat transfer promoters for the mitigation of thermal issues in energy storage systems. This paper aims to present a systematic framework for the selection of nanoparticles based on multiple attribute decision‐making tools. A hybrid Grey relational analysis‐based technique for order preference by similarity to ideal solution (GRA‐TOPSIS) approach combining the advantages of both GRA and TOPSIS methodologies is proposed and opted for evaluation, comparison, and ranking of different alternatives under the influence of several objective and subjective criteria weights. The criteria importance through inter‐criteria correlation (CRITIC) and entropy weighing methods are employed to determine the objective weights, while the subjective weights are calculated using the analytic hierarchy process (AHP). Also, an attempt is made to present a generalized weight integration formula that combines several objective and subjective weights of attributes. The results demonstrate Al2O3 nanoparticles as the most acceptable alternative. The sensitivity analysis performed proves the robustness and feasibility of the adopted decision framework. Additionally, the rank reversal issue is also addressed to present the qualitative assessment of estimated results. Thus, the evaluation methodology discussed in this paper seems to provide a theoretical reference strategy for nanoparticle selection in heat transfer enhancement applications. Highlights A novel integrated multiple criteria decision making scheme for nanoparticle selection is presented An attempt is made to present a generalized weight integration formula combining several objective and subjective weights of attributes Thermal conductivity and specific surface area are reported as the most significant attributes. Al2O3 is highlighted as the best choice. The sensitivity analysis and rank‐reversal test have also been performed to check the robustness of suggested procedures and Al2O3 has outperformed all other alternatives under consideration.

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Section: Gra-topsis Methodsmentioning

confidence: 99%

Selection of nanoparticles for battery thermal management system using integrated multiple criteria decision‐making approach

Dwivedi

Kumar

Goel

2022

Intl J of Energy Research

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“…In the case of nanodiamond‐Fe 3 O 4 with water/ethylene glycol as the working fluid, the reduction in T max at Re = 800 was 9.48 °C rather than the 5 °C that was achieved with water. [ 19 ] The effects of four distinct serpentine cooling plates on the effectiveness of the BTM system were also studied and concluded that the parallel‐spiral cooling plate is more reliable and adaptable to different working conditions. [ 20 ]…”

Section: Current Status and Readiness Level Of Various Lib Cooling Te...mentioning

confidence: 99%

Lithium‐Ion Battery Thermal Management Techniques and Their Current Readiness Level

2022

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The lithium‐ion battery (LiB) is currently an essential part of electric vehicles (EVs). The popularity of LiBs among EV manufacturers is because of their long life, fewer memory effects, high specific energy density, and lightweight. However, temperature affects the LiB life and performance to a great extent. The burden on battery thermal management (BTM) is significantly increased by the need to increase battery capacity and decrease the battery charging time. Hence, reliable and effective BTM is the need of the hour. Herein, the current status of different battery cooling techniques has been discussed along with their merits and demerits. The main objective of this paper is to inform the readers and give them a clear understanding of various cooling techniques and their current status and highlight any novel approaches being used by the researchers to improve these cooling techniques. Future needs and opportunities in this field have also been discussed.

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“…Its validity has been confirmed in improving heat transmission in many industrial applications. [1][2][3][4] Nanofluids are a distinct class of fluids with many potential uses, such as heat exchangers, solar collectors, and cooling and heating applications.…”

Section: Introductionmentioning

confidence: 99%

“…A new type of working fluid, known as nanofluid, can be produced by suspending solid nanoparticles in the base fluid. Its validity has been confirmed in improving heat transmission in many industrial applications 1–4 . Nanofluids are a distinct class of fluids with many potential uses, such as heat exchangers, solar collectors, and cooling and heating applications.…”

Section: Introductionmentioning

confidence: 99%

Prediction of hybrid nanofluids behavior and entropy generation during the cooling of an electronic chip using the Lagrangian–Eulerian approach

Korei

Louali

2022

Heat Trans

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Lithium-ion battery module performance improvements by using nanodiamond-FE3O4 water/ethylene glycol hybrid nanofluid and fins

Cited by 21 publications

References 34 publications

Selection of nanoparticles for battery thermal management system using integrated multiple criteria decision‐making approach

Selection of nanoparticles for battery thermal management system using integrated multiple criteria decision‐making approach

Lithium‐Ion Battery Thermal Management Techniques and Their Current Readiness Level

Prediction of hybrid nanofluids behavior and entropy generation during the cooling of an electronic chip using the Lagrangian–Eulerian approach

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