Background: 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.
Methods: 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.
Significant findings: 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.