Battery module thermal management based on liquid cold plate with heat transfer enhanced fin

Abstract

Summary Battery, as the main energy storage element, directly affects the performance of electric vehicle. Battery thermal management research is required as the battery performance influenced by temperature obviously. This article selects liquid cold plate with different heat transfer enhanced fins as the research object. The angle and length of fins are chosen as the variables. Computational fluid dynamics (CFD) methods and experiments are used in this research. The fin angle of 15°, 30°, and 45° and fin length of 8, 10, 12 mm are selected to compose enhanced fins. The results indicate that heat transfer fins inside liquid cold plate can significantly decrease the highest temperature of battery module and temperature difference among cells. Otherwise, different fin angle and fin length can achieve different heat dissipation performance, which is not positive correlation. Then the design reference of heat transfer enhanced fin in liquid cold plate is offered.

Heat dissipation analysis of different flow path for parallel liquid cooling battery thermal management system

“…The results showed that the application of nanofluids and micro fins will increase the Nusselt number in the cold plate. Fu et al studied the effect of the length and angle of the inner flow fin on the cooling efficiency of the liquid‐cooled battery thermal management. Huo et al designed a mini‐channel liquid cold plate with different number of cooling channels to cool a rectangular Li‐ion battery by using computational fluid dynamics (CFD) method.…”

An improved electrothermal‐coupled model for the temperature estimation of an air‐cooled battery pack

“…However, the proposed thermal model based on the battery resistance still has insufficiencies. Some research regarded cell resistance to only be affected by the SOC or the temperature, and some even considered that the resistance was constant . In practice, there are obvious prediction errors if the thermal models based on the battery resistance do not fully covers the effects of the electrical and thermal parameters on the resistance.…”

“…In practice, there are obvious prediction errors if the thermal models based on the battery resistance do not fully covers the effects of the electrical and thermal parameters on the resistance. Moreover, in the existing literature on the thermal model of the pack, the influence of the temperature distribution in the pack on the branch current is not considered, leading to an error in calculating the branch current. Encouraged by the study gap mentioned above, this paper builds a new electrothermal model to improve the temperature prediction precision of an air‐cooled pack.…”

“…Some research regarded cell resistance to only be affected by the SOC 31 or the temperature, 25 and some even considered that the resistance was constant. 16,29,32 In practice, there are obvious prediction errors if the thermal models based on the battery resistance do not fully covers the effects of the electrical and thermal parameters on the resistance. Moreover, in the existing literature on the thermal model of the pack, [24][25][26][27][29][30][31][32][33] the influence of the temperature distribution in the pack on the branch current is not considered, leading to an error in calculating the branch current.…”

“…The model includes the effect of the SOC and cell temperature on the resistance and current distribution in the pack (taking the inconsistent branch currents into consideration). Compared with the available thermal models, [18][19][20]25,27,[29][30][31][32] this paper has four main contributions. First, this work experimentally examines the effects of the cells' temperature and SOC on the ohmic and polarization resistances and the influences of the cells' SOC on the entropy coefficient, and the response surface model (RSM) expressed by the polynomial is used to establish their nonlinear internal relationships.…”