Development of cooling strategy for an air cooled lithium-ion battery pack

Sun, HongGuang; Dixon, Regan

doi:10.1016/j.jpowsour.2014.08.107

Cited by 195 publications

(73 citation statements)

References 9 publications

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“…Only the impact of the battery was analyzed. Forced air‐cooled heat dissipation performance issues; Mohammadian SK developed a new type of air‐cooled cooling system. In their design, the airflow from the bottom air duct rises in the height direction, resulting in a more even distribution of the battery temperature.…”

Section: Resultsmentioning

confidence: 99%

The forced air cooling heat dissipation performance of different battery pack bottom duct

Tang

et al. 2018

Int J Energy Res

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Summary Due to the requirement of the battery for the thermal management system, based on the coupling relationship between the velocity field and the thermal flow field of the field synergy principle, the flow paths of the forced air cooling system for different battery packs were analyzed. First, the thermodynamic parameters of the battery were collected through experiments and verified by simulation. Secondly, based on the collected thermodynamic parameters of the battery, the heat generation model of the battery, the heat conduction model of the gas, and the coupled heat dissipation model of the battery and air were established. Determine the boundary conditions, calculation methods and evaluation indicators required for simulation; Finally, based on four different driving conditions, the forced air cooling performance of the double “U” shape duct and double “1” type duct is simulated. Through the analysis of the results, the dual “U” air ducts have a more heat dissipation effect on the battery pack than the double “1” shape duct. The results conform to the definition of the field synergy principle for the coupling relationship between the velocity field and the heat flow field. Then research provide references for the design of battery packs and matching of cooling systems.

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Section: Resultsmentioning

confidence: 99%

The forced air cooling heat dissipation performance of different battery pack bottom duct

Tang

et al. 2018

Int J Energy Res

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“…In these models, the thermal model is usually combined with the electrical model to improve the prediction precision of temperature evolution. Sun et al studied the heat exchange of the pack cooled by air and coolant . Because the heat transfer model of the pack was related to the flow field, Sun et al employed the CFD method for the simulation of the flow field and the calculation of the heat transfer.…”

Section: Introductionmentioning

confidence: 99%

“…Sun et al studied the heat exchange of the pack cooled by air and coolant. 28 Because the heat transfer model of the pack was related to the flow field, Sun et al employed the CFD method for the simulation of the flow field and the calculation of the heat transfer. Prasad et al 29 studied the heat exchange in a pack used in a hoverboard with the CFD method.…”

Section: Introductionmentioning

confidence: 99%

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

Xie

Zheng

et al. 2019

Int J Energy Res

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Summary This work establishes an improved electrothermal‐coupled model for the estimation of the temperature evolution in an air‐cooled pack with three parallel branches and four serial cells in each branch. This model includes the influences of the cells' state of charge (SOC) and temperature on the ohmic and polarization resistances and polarization capacitance. The current distribution in the pack is considered in the model and applied to predicting the inconsistent effect of cell temperature. Moreover, the pipe network theory is used to model the airflow in the pack and the heat convection between the air and the batteries. An experiment is implemented to verify prediction precision in the electrical and thermal parameters of the pack. The results show that the electrothermal model accurately estimates the electrical and thermal performance of the air‐cooled pack. The relative error of the pack terminal voltage between the prediction and the experiment is 3.22% under the conditions of a discharging rate is 1.5 C (C denotes the ratio of charging/discharging current to battery capacity), environment temperature of 37°C, and air inlet velocity of 6 m/s. Regarding the prediction error in the temperature, the root mean square errors of most batteries are no more than 0.6°C under the conditions of discharge rates of 1 C and 1.5 C and ambient temperatures of 17°C, 27°C, and 37°C.

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“…In addition, the disadvantages of ACS include higher energy consumption, the limited utilization space, and noise problem . To improve the performance of ACS, the concentration of researchers is focused on three points: (a) the geometry design optimization for the air channels . (b) The optimization of connection ways and location of lithium‐ion batteries.…”

Section: Introductionmentioning

confidence: 99%

An integrated framework for minimization of inter lithium‐ion cell temperature differences and the total volume of the cell of battery pack for electric vehicles

et al. 2019

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There is not much research carried out on factors such as temperature differences in different regions of battery pack, which is highly important and poses a great challenge. Temperature changes across batteries affect the battery pack performance and its life span largely. Thus, the present work proposes the Integrated Finite Element‐Meta‐Optimization Framework for solving this problem. The integrated framework includes the formulation of Finite Element Model of a battery pack and Meta‐Optimization Framework for multi‐objective minimization of three objectives such as the inter‐cell temperature differences, temperature standard deviation and the total volume of the cell. In this framework, firstly Support Vector Regression (SVR) model is formulated based on the data and the SVR parameters are optimized using a genetic algorithm. It can conclude that the resulting model has a coefficient of correlation metric of 99%. The simulated annealing algorithm is then applied to find the optimal values of inter‐cell and cell‐enclosure distances for minimization of inter‐cell temperature differences and the total volume of the cell. Optimization analysis concluded that the volume of the battery pack was decreased by 29%, temperature difference (K) by 42% and SD of the temperature over the entire pack decreased by 55%.

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Development of cooling strategy for an air cooled lithium-ion battery pack

Cited by 195 publications

References 9 publications

The forced air cooling heat dissipation performance of different battery pack bottom duct

The forced air cooling heat dissipation performance of different battery pack bottom duct

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

An integrated framework for minimization of inter lithium‐ion cell temperature differences and the total volume of the cell of battery pack for electric vehicles

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