Heat and mass transfer modeling and assessment of a new battery cooling system

Al‐Zareer, Maan; Dinçer, İbrahim; Rosen, Marc A.

doi:10.1016/j.ijheatmasstransfer.2018.04.157

Cited by 87 publications

(22 citation statements)

References 23 publications

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“…Various literature on battery thermal modeling have been reported, which is mainly classified into lumped thermal models and numerical techniques . According to the number of states, the former can be categorized into one state, two state, and multi‐state lumped thermal models.…”

Section: Introductionmentioning

confidence: 99%

“…5,6 BTMS has been commercially applied with air cooling, 7-9 liquid cooling, 5,10-12 and ohmic heating. [13][14][15] Moreover, in recent years, some novel methods have been developed, such as phase-change materials cooling from liquid to gas [16][17][18][19] and from solid to liquid, [20][21][22] heat pipes cooling, 23,24 or a combination use of them. [25][26][27][28] The appropriate BTMS should comprehensively consider battery heat generation and the operating environment.…”

Section: Introductionmentioning

confidence: 99%

“…Various literature on battery thermal modeling have been reported, which is mainly classified into lumped thermal models [30][31][32][33] and numerical techniques. 1,17,34 According to the number of states, the former can be categorized into one state, 30 two state, 31,35,36 and multi-state 32,37 lumped thermal models. The model parameters are obtained with least square algorithm, 31,33,38 or machine learning methods, such as linear neural network 39 and RBF neural network.…”

Section: Introductionmentioning

confidence: 99%

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Simplification strategy research on hard‐cased Li‐ion battery for thermal modeling

Xifeng

Zeng²,

Hong-liang

et al. 2020

Int J Energy Res

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Summary Numerical simulation is widely used in research and design of the battery thermal management system (BTMS). Battery cells are commonly homogenized to a block for module or pack level modeling. However, how the homogenization method affects results is not proven. This paper works on a hard‐cased Li‐ion battery to find a proper simplification method. First, a detailed three‐dimensional thermal model (model A) is set up and validated by experimental data. Then, the other three models with different simplification strategies are proposed. They are model B (the cell is homogenized to a block), model C (the cell preserves only core region and housing case), and model D (based on model C, the thin insulation films are also considered). Take the results of model A as a reference, the calculation accuracy and efficiency are summarized. It is found that model B shows the best efficiency and is a proper choice for evaluation of temperature dynamics, while model D is more recommended when the internal temperature distribution of the battery is more concerned.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Simplification strategy research on hard‐cased Li‐ion battery for thermal modeling

Xifeng

Zeng²,

Hong-liang

et al. 2020

Int J Energy Res

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show abstract

“…However, air cooling, liquid heat dissipation, and PCM cooling methods have been shown to be inadequate. For example, the thermal conductivity and the specific heat capacity of air are relatively low, so air cooling cannot have the expected effect in some cases and can even result in a higher temperature gradient over the battery pack [23]. Consequently, air cooling cannot meet the demands required by the high charge and discharge rates [24,25].…”

Section: Introductionmentioning

confidence: 99%

Heat Pipe Thermal Management Based on High-Rate Discharge and Pulse Cycle Tests for Lithium-Ion Batteries

Deng

Xie

et al. 2019

Energies

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A battery thermal management system (BTMS) ensures that batteries operate efficiently within a suitable temperature range and maintains the temperature uniformity across the battery. A strict requirement of the BTMS is that increases in the battery discharge rate necessitate an increased battery heat dissipation. The advantages of heat pipes (HPs) include a high thermal conductivity, flexibility, and small size, which can be utilized in BTMSs. This paper experimentally examines a BTMS using HPs in combination with an aluminum plate to increase the uniformity in the surface temperature of the battery. The examined system with high discharge rates of 50, 75, and 100 A is used to determine its effects on the system temperature. The results are compared with those for HPs without fins and in ambient conditions. At a 100 A discharge current, the increase in battery temperature using the heat pipe with fins (HPWF) method is 4.8 °C lower than for natural convection, and the maximum temperature difference between the battery surfaces is 1.7 °C and 6.0 °C. The pulse circulation experiment was designed considering that the battery operates with a pulse discharge and temperature hysteresis. The depth of discharge is also considered, and the states-of-charge (SOC) values were 0.2, 0.5, and 0.8. The results of the two heat dissipation methods are compared, and the optimal heat dissipation structure is obtained by analyzing the experimental results. The results show that when the ambient temperature is 37 °C, differences in the SOC do not affect the battery temperature. In addition, the HPWF, HP, and natural convection methods reached stable temperatures of 40.8, 44.3, and the 48.1 °C, respectively the high temperature exceeded the battery operating temperature range.

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“…The performance of lithium battery is greatly impacted by its temperature, which can lead to thermal runaway. Special cooling systems may be required to prevent damage or even fire during charging and discharging [30][31][32][33].…”

Section: Introductionmentioning

confidence: 99%

A Simplified Analysis to Predict the Fire Hazard of Primary Lithium Battery

et al. 2018

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To better understand the fire risk of primary lithium batteries, the combustion properties of different numbers of primary lithium batteries were investigated experimentally in this work. Based on the t 2 fire principle and total heat release results from the experiments, a simplified analysis was developed to predict the fire hazard, and especially the heat release rate, of primary lithium batteries. By comparing the experiment and simulation results, the simulation line agrees well with the heat release rate curve based on the oxygen consumption measurements of a single primary lithium battery. When multiple batteries are burned, each battery ignites at different times throughout the process. The ignition time difference parameter is introduced into the simulation to achieve similar results as during multiple batteries combustion. These simulation curves conform well to the experimental curves, demonstrating that this heat release rate simulation analysis is suitable for application in batteries fires.

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Heat and mass transfer modeling and assessment of a new battery cooling system

Cited by 87 publications

References 23 publications

Simplification strategy research on hard‐cased Li‐ion battery for thermal modeling

Simplification strategy research on hard‐cased Li‐ion battery for thermal modeling

Heat Pipe Thermal Management Based on High-Rate Discharge and Pulse Cycle Tests for Lithium-Ion Batteries

A Simplified Analysis to Predict the Fire Hazard of Primary Lithium Battery

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