An improved calorimetric method for characterizations of the specific heat and the heat generation rate in a prismatic lithium ion battery cell

Lei, Sheng; Su, Lin; Zhang, Hengyun; Fang, Yidong; Xu, Haifeng; Wen, Yanwei

doi:10.1016/j.enconman.2018.11.030

Cited by 83 publications

(12 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Although there are numerous methods to characterise specific heat and thermal conductivity, some of these may not be feasible for large‐format lithium‐ion pouch cells. In particular, the large aspect ratio and low thermal conductivity make it difficult to maintain an adiabatic environment or uniform temperature for thermal characterisation, thus hindering the direct application of standard calorimetric or air cooling methods [33,34] . Calculating bulk thermophysical properties from mass or volume averages over a cell's interior components could also lead to substantial disagreement with experimental measurements [20,24] …”

Section: Introductionmentioning

confidence: 99%

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

Lin

Chu

Monroe

et al. 2022

Batteries & Supercaps

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

Section: Introductionmentioning

confidence: 99%

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

Lin

Chu

Monroe

et al. 2022

Batteries & Supercaps

View full text Add to dashboard Cite

show abstract

“…The experimental tests for specific heat capacity by using isothermal calorimeter or accelerating rate calorimeter have been reported and commercially used for Li‐ion batteries, but the cost is very high. Chen and Villano, respectively, obtained the specific heat capacity by average volume method, similar to Equation .…”

Section: Simplified Thermal Modelsmentioning

confidence: 99%

Simplification strategy research on hard‐cased Li‐ion battery for thermal modeling

Xifeng

Zeng²,

Hong-liang

et al. 2020

Int J Energy Res

View full text Add to dashboard Cite

Summary Numerical simulation is widely used in research and design of the battery thermal management system (BTMS). Battery cells are commonly homogenized to a block for module or pack level modeling. However, how the homogenization method affects results is not proven. This paper works on a hard‐cased Li‐ion battery to find a proper simplification method. First, a detailed three‐dimensional thermal model (model A) is set up and validated by experimental data. Then, the other three models with different simplification strategies are proposed. They are model B (the cell is homogenized to a block), model C (the cell preserves only core region and housing case), and model D (based on model C, the thin insulation films are also considered). Take the results of model A as a reference, the calculation accuracy and efficiency are summarized. It is found that model B shows the best efficiency and is a proper choice for evaluation of temperature dynamics, while model D is more recommended when the internal temperature distribution of the battery is more concerned.

show abstract

“…Although there are numerous methods to characterise specific heat and thermal conductivity, some of these may not be feasible for large-format lithium-ion pouch cells. In particular, the large aspect ratio and low thermal conductivity make it difficult to maintain an adiabatic environment or uniform temperature for thermal characterisation, thus hindering the direct application of standard calorimetric or air cooling methods [32,33]. Calculating bulk cell thermophysical properties from mass-averaged cell components and volume-averaged phases could also lead to substantial disagreement with experimental measurements [19,23].…”

Section: Introductionmentioning

confidence: 99%

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

Lin,

Chu,

Monroe

et al. 2021

Preprint

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

An improved calorimetric method for characterizations of the specific heat and the heat generation rate in a prismatic lithium ion battery cell

Cited by 83 publications

References 21 publications

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

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

Simplification strategy research on hard‐cased Li‐ion battery for thermal modeling

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

Contact Info

Product

Resources

About