A study on specific heat capacities of Li-ion cell components and their influence on thermal management

Loges, André; Herberger, Sabrina; Seegert, Philipp; Wetzel, Thomas

doi:10.1016/j.jpowsour.2016.10.049

Cited by 58 publications

(43 citation statements)

References 30 publications

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“…Altogether, the set of thermal parameters derived for the model parameterization in this study is considered to replicate the battery behavior realistically. The obtained values for the electrode stack components are in good agreement with data reported for a NMC/Graphite type stack in several other studies [17,29,31,32,67]. An overview of the thermal parameters for the electrode stack, the battery and the environment at the 25 • C reference temperature is shown in Table 1: Temperature dependency of the electrode stacks thermal properties had often been assumed to be constants in the temperature range of interest in previous battery modeling approaches [64,65,71].…”

Section: Characterization Results Of Thermal Parameterssupporting

confidence: 86%

“…The electrode's coatings are represented by approximately 70%, the separator by 16% and the collector sheets by 14% of the overall stack volume. The value intervals for the different material types are in good agreement with heat capacity measurements in the temperature range up to 50 °C at 0% from similar battery cell materials in the literature [29,31]. For each of the measurement objects a least-squares curve fitting procedure is used to analyze the heat capacity trend dependent on the temperature evolution.…”

Section: Characterization Results Of Thermal Parameterssupporting

confidence: 75%

“…In a study by Maleki et al [31], the influence of ageing on heat capacity is considered, and measurements of fresh and cycled cells, 500 cycles at 45 °C, on cobalt-oxide type battery cells were In case of the separator, the experimental values up to 27 • C are not considered for the fitting procedure, since such a steep slope is not reported in the literature within the temperature range of interest. Such a physical behavior would be a contrast to the evaluated results of similar separator material reported by others [29]. The measurement error might be attributed to a gap or contact flaw between the separator sample and the crucible bottom, which would lead to an increased heat resistance within the sample system.…”

Section: Characterization Results Of Thermal Parametersmentioning

confidence: 56%

“…Therefore, it can be concluded that each curve reproduces the temperature dependence seen within the experiments reasonably well. The polynomial orders derived in this study for the different materials, however, remain to be suggestions for the cell under use, since polynomials of orders varying in several degrees are reported in literature [29,72]. In case of the separator, the experimental values up to 27 °C are not considered for the fitting procedure, since such a steep slope is not reported in the literature within the temperature range of interest.…”

Section: Characterization Results Of Thermal Parametersmentioning

confidence: 99%

“…Heat generation within the electrode stack relates to irreversible sources connected to internal resistance [24,25] contributions by ionic, electrical and interfacial phenomena, reversible sources connected to entropy [14,26] and the heat of mixing [27,28]. Heat incorporation is a passive phenomenon quantified by material heat capacity [29][30][31]. Interior design improvements in heat removal are reported for electrode and stack modification with the focus on the minimizing of internal resistance contributions, enhancing thermal conductivity on a material level [32], or within the stack arrangement [33], as well as the customizing of the battery tap [34][35][36] and the terminal layout [37].…”

Section: Of 26mentioning

confidence: 99%

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The Impact of Environmental Factors on the Thermal Characteristic of a Lithium–ion Battery

Liebig¹,

Kirstein²,

Geißendörfer³

et al. 2020

Batteries

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To draw reliable conclusions about the thermal characteristic of or a preferential cooling strategy for a lithium–ion battery, the correct set of thermal input parameters and a detailed battery layout is crucial. In our previous work, an electrochemical model for a commercially-available, 40 Ah prismatic lithium–ion battery was validated under heuristic temperature dependence. In this work the validated electrochemical model is coupled to a spatially resolved, three dimensional (3D), thermal model of the same battery to evaluate the thermal characteristics, i.e., thermal barriers and preferential heat rejection patterns, within common environment layouts. We discuss to which extent the knowledge of the batteries’ interior layout can be constructively used for the design of an exterior battery thermal management. It is found from the study results that: (1) Increasing the current rate without considering an increased heat removal flux at natural convection at higher temperatures will lead to increased model deviations; (2) Centralized fan air-cooling within a climate chamber in a multi cell test arrangement can lead to significantly different thermal characteristics at each battery cell; (3) Increasing the interfacial surface area, at which preferential battery interior and exterior heat rejection match, can significantly lower the temperature rise and inhomogeneity within the electrode stack and increase the batteries’ lifespan.

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Section: Characterization Results Of Thermal Parameterssupporting

confidence: 86%

Section: Characterization Results Of Thermal Parameterssupporting

confidence: 75%

Section: Characterization Results Of Thermal Parametersmentioning

confidence: 56%

Section: Characterization Results Of Thermal Parametersmentioning

confidence: 99%

Section: Of 26mentioning

confidence: 99%

See 3 more Smart Citations

The Impact of Environmental Factors on the Thermal Characteristic of a Lithium–ion Battery

Liebig¹,

Kirstein²,

Geißendörfer³

et al. 2020

Batteries

View full text Add to dashboard Cite

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Anisotropic Thermal Characterisation of Large‐Format Lithium‐Ion Pouch Cells**

Lin

Chu

Monroe

et al. 2022

Batteries & Supercaps

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Temperature strongly impacts battery performance, safety and durability, but modelling heat transfer requires accurately measured thermal properties. Herein we propose new approaches to characterise the heat capacity and anisotropic thermal‐conductivity components for lithium‐ion pouch cells. Heat capacity was estimated by applying Newton's law of cooling to an insulated container within which the cell was submerged in warmed dielectric fluid. Thermal conductivity was quantified by heating one side of the cell and measuring the opposing temperature distribution with infra‐red thermography, then inverse modelling with the anisotropic heat equation. Experiments were performed on commercial 20 Ah lithium iron phosphate (LFP) pouch cells. At 100 % state‐of‐charge (SOC), the heat capacity of a 489 g, 224 mL pouch cell was 541 J K−1. The through‐plane and in‐plane thermal conductivities were respectively 0.52 and 26.6 W m−1 K−2. Capturing anisotropies in conductivity is important for accurate thermal simulations. State‐of‐charge dependence was also probed by testing at 50 % SOC: the heat capacity dropped by 6 % and thermal conductivity did not significantly change.

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Investigation of the Effective Thermal Conductivity of Cell Stacks of Li‐Ion Batteries

et al. 2020

Self Cite

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Knowledge of the thermal transport properties of the individual battery components and their combination is required for the design of thermally optimized lithium‐ion batteries. Based on this, the limiting components can be identified and potentially improved. In this contribution, the microstructures of commercial porous electrode coatings, electrode stacks, and cell stacks are reconstructed based on experimentally determined structure parameters using a specifically developed structure generation routine. The effective thermal conductivity of the generated stacked structures is then determined by a numerical tool developed in‐house based on the finite‐volume method. The results are compared with an analytical model for fast accurate predictions which takes the morphological parameter sets and the geometry of the stacks into account. Both models are used to identify the system‐limiting components via selected simulation studies. Finally, the results of both models are compared with experimental data for commercial electrode stacks and common literature values for cell stacks.

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A study on specific heat capacities of Li-ion cell components and their influence on thermal management

Cited by 58 publications

References 30 publications

The Impact of Environmental Factors on the Thermal Characteristic of a Lithium–ion Battery

The Impact of Environmental Factors on the Thermal Characteristic of a Lithium–ion Battery

Anisotropic Thermal Characterisation of Large‐Format Lithium‐Ion Pouch Cells**

Investigation of the Effective Thermal Conductivity of Cell Stacks of Li‐Ion Batteries

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