3D simulation on the internal distributed properties of lithium-ion battery with planar tabbed configuration

Li, Jie; Cheng, Yun; Ai, Lihua; Wang, Tingyun; Du, Shaowu; Yin, Baoshu; Woo, Stanley; Hong-liang, Zhang

doi:10.1016/j.jpowsour.2015.06.034

Cited by 103 publications

(52 citation statements)

References 33 publications

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“…A large number of works have been published on the modeling of Li-ion batteries [8,[27][28][29][30][31][32][33]. These models were created to predict electrical, electrochemical, thermal and mechanical behavior of the battery system, either independently or in combination (coupled).…”

Section: Modeling Perspectivementioning

confidence: 99%

Comparative Study of Surface Temperature Behavior of Commercial Li-Ion Pouch Cells of Different Chemistries and Capacities by Infrared Thermography

et al. 2015

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Abstract:The non-uniform surface temperature distribution of a battery cell results from complex reactions inside the cell and makes efficient thermal management a challenging task. This experimental work attempts to determine the evolution of surface temperature distribution of three pouch type commercial cells: Nickel Manganese Cobalt oxide (NMC)-based 20 Ah cell, Lithium Iron Phosphate (LFP) 14 Ah, and Lithium Titanate Oxide (LTO) 5 Ah battery cell by using contact thermistor and infrared (IR) thermography. High current (up to 100 A) continuous charge/discharge and high current (80 A) micro pulse cycling profile were applied on the cells. It was found that thermistor based temperature profile varied cell to cell, especially the LTO cell. Among the investigated cells, the NMC cell shows highest temperature rise and the LTO cell the lowest rise. IR (Infrared) images revealed the spatial distribution of surface temperature, in particular the location of the hottest region varies depending not only on the geometrical and material properties of the cell, but also the type of loads applied on the cells. Finally, a modeling perspective of the cell temperature non-uniformity is also discussed. OPEN ACCESSEnergies 2015, 8 8176

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Section: Modeling Perspectivementioning

confidence: 99%

Comparative Study of Surface Temperature Behavior of Commercial Li-Ion Pouch Cells of Different Chemistries and Capacities by Infrared Thermography

et al. 2015

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“…The model is based on a similar, experimentally validated model presented within Li et al [28]. The inputs to the model are load current, geometrical design parameters, material properties and ambient operating temperature, while the outputs from the model are the responses of the cell to the load, i.e., terminal voltage (V), generated heat (Q), temperature profile ( • C) and state of charge (SOC).…”

Section: Electrochemical-thermal Modelmentioning

confidence: 99%

“…Additional internal variables include: lithium concentration in the electrodes and the separator, potential distribution of different phases, reaction current, electronic and ionic current. The primary motivation for using Li et al's model [28] for verification, is because the authors have presented a complete set of electrochemical parameters for the cell along with a definition of parameter variations with temperature. Since the electrochemical model contains temperature dependent variables, coupling it with a thermal model yields more accurate results.…”

Section: Electrochemical-thermal Modelmentioning

confidence: 99%

“…Since the electrochemical model contains temperature dependent variables, coupling it with a thermal model yields more accurate results. Furthermore, the model presented in [28] has been validated using experimental data. The schematic geometry of a single electrode-pair is shown in Figure 1.…”

Section: Electrochemical-thermal Modelmentioning

confidence: 99%

“…The dynamic performance of the cell is characterized by the solution of four partial differential equations describing the time evolution of the lithium concentration profile in the electrode and electrolyte phases. The field variables to be calculated are , , , [26,28]. and are lithium concentration in the solid and the electrolyte phase, and represents the potential in the solid and electrolyte phase respectively.…”

Section: Electrochemical-thermal Modelmentioning

confidence: 99%

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Electrochemical-Thermal Modelling and Optimisation of Lithium-Ion Battery Design Parameters Using Analysis of Variance

2017

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A 1D electrochemical-thermal model of an electrode pair of a lithium ion battery is developed in Comsol Multiphysics. The mathematical model is validated against the literature data for a 10 Ah lithium phosphate (LFP) pouch cell operating under 1 C to 5 C electrical load at 25 • C ambient temperature. The validated model is used to conduct statistical analysis of the most influential parameters that dictate cell performance; i.e., particle radius (r p ); electrode thickness (L pos ); volume fraction of the active material (ε s,pos ) and C-rate; and their interaction on the two main responses; namely; specific energy and specific power. To achieve an optimised window for energy and power within the defined range of design variables; the range of variation of the variables is determined based on literature data and includes: r p : 30-100 nm; L pos : 20-100 µm; ε s,pos : 0.3-0.7; C-rate: 1-5. By investigating the main effect and the interaction effect of the design variables on energy and power; it is observed that the optimum energy can be achieved when (r p < 40 nm); (75 µm < L pos < 100 µm); (0.4 < ε s,pos < 0.6) and while the C-rate is below 4C. Conversely; the optimum power is achieved for a thin electrode (L pos < 30 µm); with high porosity and high C-rate (5 C).

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Open‐Source CFD Elucidating Mechanism of 3D Pillar Electrode in Improving All‐Solid‐State Battery Performance

Bao

et al. 2022

Advanced Science

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All‐solid‐state batteries (ASSBs) have become an important technology because of their high performance and low‐risk operation. However, the high interface resistance and low ionic conductivity of ASSBs hinder their application. In this study, a self‐developed electrochemical model based on an open‐source computational fluid dynamics platform is presented. The effect of contact area reduction at the electrode/solid‐state electrolyte interface is investigated. Then, a new conceptual 3D structure is introduced to circumvent the existing barriers. The results demonstrate that the discharge time is shortened by over 20% when the area contact ratio reduces from 1.0 to 0.8 at 1 C‐rate, owing to the increased overpotential. By adopting the new 3D pillar design, the energy density of ASSBs can be improved. However, it is only when a 3D current collector is contained in the cathode that the battery energy/power density, capacity, and material utilization can be greatly enhanced without being limited by pillar height issues. Therefore, this work provides important insight into the enhanced performance of 3D structures.

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3D simulation on the internal distributed properties of lithium-ion battery with planar tabbed configuration

Cited by 103 publications

References 33 publications

Comparative Study of Surface Temperature Behavior of Commercial Li-Ion Pouch Cells of Different Chemistries and Capacities by Infrared Thermography

Comparative Study of Surface Temperature Behavior of Commercial Li-Ion Pouch Cells of Different Chemistries and Capacities by Infrared Thermography

Electrochemical-Thermal Modelling and Optimisation of Lithium-Ion Battery Design Parameters Using Analysis of Variance

Open‐Source CFD Elucidating Mechanism of 3D Pillar Electrode in Improving All‐Solid‐State Battery Performance

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