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• Advance cooling parameters in Li-ion battery reviewed. • Exergy, economic and environmental parameters contribution in cooling methods of Li-ion battery. • Machine learning and data-driven methods are powerful tools to realize important cooling parameters. • Recommendations, future directions and research gaps are suggested. Lithium-ion (Li-ion) batteries are one of the most attractive and promising energy storage systems that emerge in different industrial sectors –at the top of them electrical vehicles (EVs) and electronic devices –regarding the tight collaboration of scientific community and industry. Among crucial factors on performance of Li-ion batteries, thermal management is of great importance as it directly impacted the system from different views. In the present review, state of the art of advance cooling systems' (such as air/liquid-based cooling, PCM, refrigeration, heat pipe and thermoelectric) parameters of Li-ion batteries from different aspects are scrutinized. Exergy, economic and environmental (3E) analysis used as powerful tools to realize important parameters in battery thermal management. Furthermore, data-driven and machine learning applications in thermal regulation of Li-ion battery and their impact on putting the next steps in this context have been discussed. The pros and cons of each system considering aforementioned tools are realized. Particularly, it was realized that machine learning can be play a vital role in this context while other parameters with respect to 3E analysis can put several steps for better thermal management. Finally, concluding remarks and recommendations and research gaps as the future directions presented. [ABSTRACT FROM AUTHOR]

This investigation has been carried out to study on preparation, thermal conductivity and dielectric strength of Ag- WO 3 hybrid nanofluid while the base fluid was transformer oil. The reasons of selecting silver and WO 3 as nanoparticles have been completely discussed. Applied nanofluids have been prepared by a one-step method known as Electrical Explosion of Wire (E.E.W). Measuring zeta potential of utilized hybrid nanofluids in three different weight fractions of 1%, 2% and 4% has been experimentally carried out. Thermal conductivity of applied nanofluids in temperature range of 40–100 °C has been measured by a KD2 pro thermal properties analyzer. The results showed that thermal conductivity of applied hybrid nanofluids increased by 41% in higher weight fraction and 100 °C. Finally, it has been observed that electrical conductivity of hybrid nanofluids decreased to 35 kV in 4% wt. [ABSTRACT FROM AUTHOR]

In this study, a colloidal suspension consists of Cu nanoparticles and engine oil has been made by a one- step method known as Electrical Explosion of Wire (E.E.W) in three different weight concentrations of 0.2%, 0.5% and 1%. After studying physical properties of the applied nanofluids via high resolution transmission electron microscopy and measuring zeta potential for the stability analysis, thermo-physical properties such as thermal conductivity and viscosity, have been experimentally studied. Measured data of thermal conductivity and viscosity of applied nanofluids have been compared to the predicted ones through the proposed correlations for thermal conductivity and viscosity of oil based nanofluids and acceptable agreements between the two have been achieved. The range of thermal conductivity of higher weight concentration was measured to be from 0.153 to 0.17 (W/m. K) in the temperature range from 40 C to 100 C, while pure engine oil exhibits a decreasing trend in contradictory. Secondly, viscosity variations through capturing Newtonian or non- Newtonian behavior of utilized nanofluids has been investigated. The viscosity range for higher weight concentration nanofluid was observed from 235 cP to 35 cP in the applied temperature range. Finally, thermal conductivity and viscosity enhancements of 49% and 37% were observed for 1% weight fraction of utilized nanofluids. [ABSTRACT FROM AUTHOR]