چكيده به لاتين
Nowadays, due to environmental concerns and hoping to limit the phenomenon of pollution in mega-cities, the development of electric vehicles is one of the priorities of the modern industrial world. Lithium battery is one of the main and most widely used types of batteries used in this type of cars. Temperature is one of the most effective parameters on the performance of these batteries, because it is able to change their chemical behavior. Due to the need for batteries to function in a suitable temperature range and with a uniform temperature distribution, it is necessary to adopt a suitable and optimal cooling method with suitable and reliable efficiency in all three levels of the structural unit, module and battery assembly. One of the passive methods for thermal management in batteries is the use of a heat pipe, which shows very high performance along with very low weight.As a result, in this research, an attempt was made to optimize the passive thermal management system of the lithium-ion battery by means of a heat pipe with the help of numerical simulation method and by using one of the existing tools for optimization, i.e. sensitivity analysis. In this research, at first, an 18650 lithium-ion battery cell was modeled in Ansys Fluent software using the NTGK model, then the obtained was validated based on the existing experimental results. After that, a cooling module based on the heat pipe was also selected and modeled in the software, in this model, the validated battery model was used for the battery part and the one-dimensional calculation code related to the heat pipe was also used for the heat pipe simulation, and the battery, heat pipe and the cooling module were verified. In the next step, sensitivity analysis and range analysis were performed for the variables in the battery module and heating pipe, and finally 6 factors in 5 level were selected for testing. Then, 25 tests were selected for sensitivity analysis with Taguchi method and performed in simulation. Then, using the obtained results, the optimal module was compared with the basic module. The results of this research showed that in the optimal module compared to the basic module, the maximum temperature of the battery cells decreased by 12.09%, and the temperature difference at the level of the battery module decreased by 22.71%. , and the temperature difference at the level of the heat pipe decreased by 13.67%. This means improved maximum temperature and uniorm temperature distribution in the module. Also, in the heat pipe, reducing the temperature differencebetween the two ends of the heat pipe means increasing its thermal efficiency.
