Parameterization of prismatic lithium–iron–phosphate cells through a streamlined thermal/electrochemical model

Chu, Howie N.; Kim, Sun Ung; Rahimian, Saeed Khaleghi; Siegel, Jason B.; Monroe, Charles W.

doi:10.1016/j.jpowsour.2020.227787

Cited by 13 publications

(49 citation statements)

References 41 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…1, for which the experimental setup and procedures were established by Chu et al [16]. Here we report data from two sources: square-wave-excitation cycling experiments, of which the data sets that cycled around a 30% state of charge (SOC) were reported earlier [16], but the others were not; and full-cell discharge experiments, performed specially for this report. All experiments used 20 Ah pouch cells from A123 Systems, which have a lithium iron phosphate (LFP) positive electrode and a graphite negative electrode.…”

Section: Temperature Non-uniformity and Solid-state Diffusionmentioning

confidence: 95%

“…Experimental data was gathered using the test rig depicted in Fig. 1, for which the experimental setup and procedures were established by Chu et al [16]. Here we report data from two sources: square-wave-excitation cycling experiments, of which the data sets that cycled around a 30% state of charge (SOC) were reported earlier [16], but the others were not; and full-cell discharge experiments, performed specially for this report.…”

Section: Temperature Non-uniformity and Solid-state Diffusionmentioning

confidence: 99%

“…A physics-based battery model was solved using COMSOL Multiphysics software to simulate the electrical and thermal responses to the square-wave current excitation (see Methods section for more details). For all the square-wave cycling tests, parameter estimation based on a previously introduced streamlined model [16] could capture the hot-spot, cold-spot, and surface-average temperatures accurately, but failed to predict the correct horizontal temperature distribution on the surface -that is, the distribution across the largest surface of the pouch cells, in the direction perpendicular to the tabs (see Figure S2 of the Supplementary Material).…”

Section: Temperature Non-uniformity and Solid-state Diffusionmentioning

confidence: 99%

“…These produced a variety of extensions to the streamlined model of Chu et al [16], as described in Supplemental Note 2. We found that the assumption of linear kinetics in place of nonlinear Butler-Volmer kinetics did not affect observed surface-temperature distributions (see Figure S3).…”

Section: Temperature Non-uniformity and Solid-state Diffusionmentioning

confidence: 99%

See 3 more Smart Citations

Multiscale coupling of surface temperature with solid diffusion in large lithium-ion pouch cells

Lin,

Chu,

Howey

et al. 2021

Preprint

Self Cite

View full text Add to dashboard Cite

Untangling the relationship between reactions, mass transfer, and temperature within lithium-ion batteries enables control approaches that mitigate thermal hot spots and slow degradation. Here, we develop an efficient physics-based pouch-cell model to simulate lock-in thermography experiments, which synchronously record the applied current, cell voltage, and surface-temperature distribution. Prior modelling efforts have been confounded by experimental temperature profiles whose characteristics suggest anisotropic heat conduction. Accounting for a multiscale coupling between heat flow and solid-state diffusion rationalizes this surface-temperature nonuniformity. We extend an earlier streamlined model based on the popular Doyle-Fuller-Newman theory, augmented by a local heat balance. The reducedorder model is exploited to parametrize and simulate commercial 20 Ah lithium iron phosphate (LFP) cells at currents up to 80 A. This work highlights how microscopic intercalation processes produce distinctive macroscopic heat signatures in large-format cells, as well as how heat signatures can be exploited to fingerprint material properties.

show abstract

Section: Temperature Non-uniformity and Solid-state Diffusionmentioning

confidence: 95%

Section: Temperature Non-uniformity and Solid-state Diffusionmentioning

confidence: 99%

Section: Temperature Non-uniformity and Solid-state Diffusionmentioning

confidence: 99%

Section: Temperature Non-uniformity and Solid-state Diffusionmentioning

confidence: 99%

See 2 more Smart Citations

Multiscale coupling of surface temperature with solid diffusion in large lithium-ion pouch cells

Lin,

Chu,

Howey

et al. 2021

Preprint

Self Cite

View full text Add to dashboard Cite

show abstract

“…For large-format pouch cells operating at high C-rates, high temperatures and spatial temperature non-uniformities may occur depending on the spatial distribution of electrochemical reactions within the cell [8] and the cooling arrangement. The heat-management challenge has motivated research to develop more thermally conductive electrodes [9], effective thermal management techniques [10,11,12] and improved thermoelectrochemical models [13,14,15,16]. All of these approaches require accurate knowledge of the cell's heat generation and thermophysical properties.…”

Section: Introductionmentioning

confidence: 99%

Anisotropic thermal characterisation of large-format lithium-ion pouch cells

Lin,

Chu,

Monroe

et al. 2021

Preprint

Self Cite

View full text Add to dashboard Cite

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 −1 . 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.

show abstract

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

Lin

Chu

Monroe

et al. 2022

Batteries & Supercaps

Self Cite

View full text Add to dashboard Cite

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.

show abstract

Parameterization of prismatic lithium–iron–phosphate cells through a streamlined thermal/electrochemical model

Cited by 13 publications

References 41 publications

Multiscale coupling of surface temperature with solid diffusion in large lithium-ion pouch cells

Multiscale coupling of surface temperature with solid diffusion in large lithium-ion pouch cells

Anisotropic thermal characterisation of large-format lithium-ion pouch cells

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

Contact Info

Product

Resources

About