Modelling the thermal behaviour of a lithium-ion battery during charge

Kim, Ui Seong; Yi, Jaeshin; Shin, Chee Burm; Han, Taeyoung; Park, Seongyong

doi:10.1016/j.jpowsour.2011.01.103

Cited by 167 publications

(114 citation statements)

References 26 publications

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“…By not calculating the distributions of the lithium ion concentration and electrolyte-phase potential, the model of Kwon et al [23] significantly saves computation time as compared to the rigorous porous electrode model, while maintaining the validity of the model, even at high discharge rates. Kim et al [24][25][26] performed two-dimensional thermal modeling to predict the thermal behavior of a LIB cell during discharge and charge on the basis of the potential and current density distributions obtained by the same procedure used by Kwon et al [23]. They reported good agreement between the modeling results and the experimental data.…”

Section: Introductionmentioning

confidence: 97%

“…They reported good agreement between the modeling results and the experimental data. Kim et al [27] extended their thermal model [24][25][26] to accommodate the dependence of the discharge behavior on the environmental temperature.…”

Section: Introductionmentioning

confidence: 99%

“…In this work, a one-dimensional model obtained by reducing the spatial dimension of the two-dimensional model of Kim et al [24][25][26] owing to the cylindrical symmetry of a coin cell is presented to investigate the effects of the cathode composition on the discharge behavior of a LFP battery cell comprising a LFP cathode, a lithium metal anode, and an organic electrolyte. Validation of the modeling approach is provided via a comparison of the modeling results with experimental measurements.…”

Section: Introductionmentioning

confidence: 99%

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Modeling the Effects of the Cathode Composition of a Lithium Iron Phosphate Battery on the Discharge Behavior

Lee

Shin

et al. 2013

Energies

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This paper reports a modeling methodology to predict the effects on the discharge behavior of the cathode composition of a lithium iron phosphate (LFP) battery cell comprising a LFP cathode, a lithium metal anode, and an organic electrolyte. A one-dimensional model based on a finite element method is presented to calculate the cell voltage change of a LFP battery cell during galvanostatic discharge. To test the validity of the modeling approach, the modeling results for the variations of the cell voltage of the LFP battery as a function of time are compared with the experimental measurements during galvanostatic discharge at various discharge rates of 0.1C, 0.5C, 1.0C, and 2.0C for three different compositions of the LFP cathode. The discharge curves obtained from the model are in good agreement with the experimental measurements. On the basis of the validated modeling approach, the effects of the cathode composition on the discharge behavior of a LFP battery cell are estimated. The modeling results exhibit highly nonlinear dependencies of the discharge behavior of a LFP battery cell on the discharge C-rate and cathode composition.

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Section: Introductionmentioning

confidence: 97%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Modeling the Effects of the Cathode Composition of a Lithium Iron Phosphate Battery on the Discharge Behavior

Lee

Shin

et al. 2013

Energies

Self Cite

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“…All current from fuel cells flowed into the positive tab. Because of the resistance, the charge near the positive tab was higher than near the negative tab [11]. When the fuel cells were turned off, the charge needed time to be distributed uniformly.…”

Section: Run On Batterymentioning

confidence: 99%

“…5. The distribution of charge in the battery during charging process [11] The battery power loss, which is shown by the green line in Fig. 4(c), was caused by internal impedance of the battery.…”

Section: Run On Batterymentioning

confidence: 99%

Performance measurement of the upgraded Microcab-H4 with academic drive cycle

Rais

Fisher

Dhir

et al. 2016

CST

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The original Microcab-H4, a hybrid fuel cell car, was tested with Academic drive cycle. After several years, the car was upgraded and tested with the ECE 15 drive cycle. The result showed the car has higher energy efficiency. However, the result could not be compared to the original car due to different drive cycle test. This research was done to measure the performance and energy efficiency of the Upgraded Microcab-H4 with Academic drive cycle. The measure of car energy efficiency was done through four tests: Run on battery, run on battery and Ballard fuel cell, and run on battery, Ballard, and Horizon fuel cell. The energy efficiency was calculated based on the hydrogen consumption after 5 cycles. The lowest energy efficiency was run on battery and Ballard fuel cell with (1.01 km/MJ). The highest energy efficiency was run on battery, Ballard, and Horizon fuel cells (1.10 km/MJ), which is higher than previous tests.

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Modeling and Simulation of Flow Batteries

Esan

Shi

Pan

et al. 2020

Advanced Energy Materials

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Flow batteries have received extensive recognition for large‐scale energy storage such as connection to the electricity grid, due to their intriguing features and advantages including their simple structure and principles, long operation life, fast response, and inbuilt safety. Market penetration of this technology, however, is still hindered by some critical issues such as electroactive species crossover and its corresponding capacity loss, undesirable side reactions, scale‐up and optimization of structural geometries at different scales, and battery operating conditions. Overcoming these remaining challenges requires a comprehensive understanding of the interrelated structural design parameters and the multivariable operations within the battery system. Numerical modeling and simulation are effective tools not only for gaining an understanding of the underlying mechanisms at different spatial and time scales of flow batteries but also for cost‐effective optimization of reaction interfaces, battery components, and the entire system. Here, the research and development progress in modeling and simulation of flow batteries is presented. In addition to the most studied all‐vanadium redox flow batteries, the modelling and simulation efforts made for other types of flow battery are also discussed. Finally, perspectives for future directions on model development for flow batteries, particularly for the ones with limited model‐based studies are highlighted.

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Modelling the thermal behaviour of a lithium-ion battery during charge

Cited by 167 publications

References 26 publications

Modeling the Effects of the Cathode Composition of a Lithium Iron Phosphate Battery on the Discharge Behavior

Modeling the Effects of the Cathode Composition of a Lithium Iron Phosphate Battery on the Discharge Behavior

Performance measurement of the upgraded Microcab-H4 with academic drive cycle

Modeling and Simulation of Flow Batteries

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