Parameterization and Validation of an Electrochemical Thermal Model of a Lithium-Ion Battery

Liebig, Gerd; Gupta, Gaurav; Kirstein, Ulf; Schuldt, Frank; Agert, Carsten

doi:10.3390/batteries5030062

Cited by 29 publications

(22 citation statements)

References 60 publications

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“…The radiation-related surface properties used in Equation (7) of the battery compartments are taken from a material data sheet provided by Optris GmbH ® (Berlin, Germany) [66]. The geometry parameters used for the averaging procedures mentioned in Equations (8)-(11) were characterized and reported in our previous study [47]. Altogether, the set of thermal parameters derived for the model parameterization in this study is considered to replicate the battery behavior realistically.…”

Section: Characterization Results Of Thermal Parametersmentioning

confidence: 99%

“…Modeling of the thermal aspects of lithium-ion battery operation states relies on model parameterization [47][48][49][50], validation of key performance variables [21,47,51,52] and the correct interpretation of model deviations [53,54], as well as behavioral indicators [55]. Therefore, the model accuracy strongly depends on the accurate modeling of each of the aforementioned physical phenomena that influences the flux of heat within and around the battery cell.…”

Section: Of 26mentioning

confidence: 99%

“…In our previous study [47] an electrochemical thermal coupled model was established based on the COMSOL Multiphysics ® simulation platform (Stockholm, Sweden) and validated dependent upon heuristic cell temperature without the geometrically resolved battery and test environment. The present study aims to get a thorough understanding of the thermal processes and their implications within and around a prismatic (PHEV2) battery cell to evaluate the layout of thermal barriers and preferential heat rejection patterns within controlled validation scenarios.…”

Section: Of 26mentioning

confidence: 99%

“…The model parameterization involves multiple steps from battery cell disassembly, sample extraction and preparation, measurement execution and data evaluation [48,52,53,56,57]. The opening and sample preparation from a discharged battery cell with a zero state of charge was explained and discussed in detail in our previous study with its focus on the electrochemical model parameterization [47]. In this study the focus is set on the thermal model parameterization.…”

Section: Experimental Techniquesmentioning

confidence: 99%

“…The battery cells' temperature distribution is realistically predicted when the balance of the two characteristics is properly matched. While the heat dissipation setting is analyzed and validated for the electrochemical part of the aforementioned battery model in our previous study [47], the present study will further examine the characteristics of heat removal within exterior test settings and realistic battery applications. Three model categories are evaluated in this study with a focus upon the natural convection condition, forced convection condition and the influence of the battery cell design.…”

Section: Thermal Model Studymentioning

confidence: 99%

See 4 more Smart Citations

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 Parametersmentioning

confidence: 99%

Section: Of 26mentioning

confidence: 99%

Section: Of 26mentioning

confidence: 99%

Section: Experimental Techniquesmentioning

confidence: 99%

Section: Thermal Model Studymentioning

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

show abstract

Electrothermal model of all‐solid‐state lithium battery with composite solid‐state electrolyte

Liu,

Peng,

Xiaokaiti

et al. 2023

EcoEnergy

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For secondary batteries, thermal runaway has become the main issue, and how to solve it is full of challenges. In this work, a universal thermal model for lithium ion batteries (LIBs) was proposed, which was validated by using commercially available 18650 batteries as well as testing the electrochemical parameters of a Poly(ethylene oxide)(PEO)–bis(trifluoromethane)sulfonimide lithium salt(LiTFSI)–Li2MnO3(LMO) (PLL) composite solid‐state electrolyte (CSSE), while a computational model was developed for all‐solid‐state LIBs (ASSLIBs) based on PLL CSSE. The simulation results show that the maximum temperature of ASSLIBs based on PLL CSSE and commercial standards are both significantly lower than the thermal runaway temperature of solid‐state electrolyte. However, as the temperature of the battery varies greatly under different operating conditions, it will cause great difficulties in the control of other ancillary components and even finally lead to certain safety issues. Therefore, from the perspective of performance and practical application, the CSSE should be improved toward improving the ionic conductivity at low temperatures to have more commercial prospects, and lower interfacial impedance and a higher lithium ion migration number would also be beneficial for optimizing the thermal behavior of ASSLIBs to achieve better commercial prospects.

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Toward safe and rapid battery charging: Design optimal fast charging strategies thorough a physics‐based model considering lithium plating

2020

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Summary The application of lithium‐ion batteries is limited by long charging time and charging‐related degradations. An enhanced fast‐charging strategy can overcome these limitations. This work proposes a novel fast‐charging strategy to charge lithium‐ion batteries safely. This strategy contains a voltage‐spectrum‐based charging current profile that is optimized based on a physics‐based battery model and a genetic algorithm. The battery model considers major degradation events during charging: lithium plating, plated lithium‐induced reactions, SEI growth, as well as other degradations in the electrodes and the electrolyte. Proposed voltage‐spectrum‐based fast charging profiles are investigated with a different resolution of voltage intervals. The results show a charging profile with 15 voltage intervals and an adaptive resolution in the lower voltage range significantly can reduce charging time as well as mitigate battery degradation and avoid lithium plating. Promising results show that the charging time can be reduced without significantly lithium plating, and other side reactions compared to a constant charging strategy.

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Parameterization and Validation of an Electrochemical Thermal Model of a Lithium-Ion Battery

Cited by 29 publications

References 60 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

Electrothermal model of all‐solid‐state lithium battery with composite solid‐state electrolyte

Toward safe and rapid battery charging: Design optimal fast charging strategies thorough a physics‐based model considering lithium plating

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