Thermal modeling and experimental validation of a large prismatic Li-ion battery

Damay, Nicolas; Forgez, Christophe; Bichat, Marie‐Pierre; Friedrich, Guy; Ospina, Alejandro

doi:10.1109/iecon.2013.6699893

Cited by 11 publications

(8 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Lumped parameter thermal equivalent circuit (TEC) models are perhaps the most popular approach for efficient thermal modelling. These methods have been used extensively for low-order and control-oriented modelling of battery cells and packs [1,4,5,6,7,8,9,10]. Their main advantage is that they are simple to implement.…”

Section: Low-order Thermal Modellingmentioning

confidence: 99%

On-board monitoring of 2-D spatially-resolved temperatures in cylindrical lithium-ion batteries: Part I. Low-order thermal modelling

Richardson

Zhao

Howey

2016

Journal of Power Sources

View full text Add to dashboard Cite

Estimating the temperature distribution within Li-ion batteries during operation is critical for safety and control purposes. Although existing control-oriented thermal models -such as thermal equivalent circuits (TEC) -are computationally efficient, they only predict average temperatures, and are unable to predict the spatially resolved temperature distribution throughout the cell. We present a low-order 2D thermal model of a cylindrical battery based on a Chebyshev spectral-Galerkin (SG) method, capable of predicting the full temperature distribution with a similar efficiency to a TEC. The model accounts for transient heat generation, anisotropic heat conduction, and non-homogeneous convection boundary conditions. The accuracy of the model is validated through comparison with finite element simulations, which show that the 2-D temperature field (r, z) of a large format (64 mm diameter) cell can be accurately modelled with as few as 4 states. Furthermore, the performance of the model for a range of Biot numbers is investigated via frequency analysis. For larger cells or highly transient thermal dynamics, the model order can be increased for improved accuracy. The incorporation of this model in a state estimation scheme with experimental validation against thermocouple measurements is presented in the companion contribution (Part II).• Derivation and validation of low-order 2-D thermal model for cylindrical cells.• Efficient numerical implementation based on Chebshev spectral-Galerkin method.• Includes anisotropic heat conduction and inhomogeneous convection boundary conditions.• Applicable to various battery cooling configurations, such as side or end cooling.• Suitable for use in a state-estimator with surface temperature or EIS measurements.2 www.github.com/robert-richardson/Spectral-Thermal-Model-2D

show abstract

Section: Low-order Thermal Modellingmentioning

confidence: 99%

On-board monitoring of 2-D spatially-resolved temperatures in cylindrical lithium-ion batteries: Part I. Low-order thermal modelling

Richardson

Zhao

Howey

2016

Journal of Power Sources

View full text Add to dashboard Cite

show abstract

“…This detailed spatio-temporal thermal behavior information is crucial for understanding the thermal characteristics of battery packs, optimizing their design, and ensuring efficient cooling and safe operation. Nicolas Damay et al [52] proposed a thermal modeling approach for a large prismatic Li-ion battery and experimentally validated its accuracy. The lumped model considers various factors such as heat capacity, internal thermal resistance, and interfacial thermal resistance between the battery cell and its cooling system.…”

Section: Thermal Modelling Of Lithium-ion Batteriesmentioning

confidence: 99%

Thermal Behavior Modeling of Lithium-Ion Batteries: A Comprehensive Review

Madani,

Ziebert,

Marzband

2023

Symmetry

View full text Add to dashboard Cite

To enhance our understanding of the thermal characteristics of lithium-ion batteries and gain valuable insights into the thermal impacts of battery thermal management systems (BTMSs), it is crucial to develop precise thermal models for lithium-ion batteries that enable numerical simulations. The primary objective of creating a battery thermal model is to define equations related to heat generation, energy conservation, and boundary conditions. However, a standalone thermal model often lacks the necessary accuracy to effectively anticipate thermal behavior. Consequently, the thermal model is commonly integrated with an electrochemical model or an equivalent circuit model. This article provides a comprehensive review of the thermal behavior and modeling of lithium-ion batteries. It highlights the critical role of temperature in affecting battery performance, safety, and lifespan. The study explores the challenges posed by temperature variations, both too low and too high, and their impact on the battery’s electrical and thermal balance. Various thermal analysis approaches, including experimental measurements and simulation-based modeling, are described to comprehend the thermal characteristics of lithium-ion batteries under different operating conditions. The accurate modeling of batteries involves explaining the electrochemical model and the thermal model as well as methods for coupling electrochemical, electrical, and thermal aspects, along with an equivalent circuit model. Additionally, this review comprehensively outlines the advancements made in understanding the thermal behavior of lithium-ion batteries. In summary, there is a strong desire for a battery model that is efficient, highly accurate, and accompanied by an effective thermal management system. Furthermore, it is crucial to prioritize the enhancement of current thermal models to improve the overall performance and safety of lithium-ion batteries.

show abstract

“…Then, the challenge is to take a source term for heat equation that represents the internal phenomena occurring within the Li-ion batteries. A model taking into account two main electro chemical phenomena was first proposed by [16] and used in numerous references [17,18,19,20,7,21,22,23]. According to this approach, the heat source is the result of two contributions.…”

Section: Introductionmentioning

confidence: 99%

Accuracy assessment of an internal resistance model of Li-ion batteries in immersion cooling configuration

Solai

Beaugendre

Bieder

et al. 2023

Applied Thermal Engineering

View full text Add to dashboard Cite

Thermal modeling and experimental validation of a large prismatic Li-ion battery

Cited by 11 publications

References 11 publications

On-board monitoring of 2-D spatially-resolved temperatures in cylindrical lithium-ion batteries: Part I. Low-order thermal modelling

On-board monitoring of 2-D spatially-resolved temperatures in cylindrical lithium-ion batteries: Part I. Low-order thermal modelling

Thermal Behavior Modeling of Lithium-Ion Batteries: A Comprehensive Review

Accuracy assessment of an internal resistance model of Li-ion batteries in immersion cooling configuration

Contact Info

Product

Resources

About