A Time- and Cost-Effective Method for Entropic Coefficient Determination of a Large Commercial Battery Cell

Geng, Zeyang; Groot, Jens; Thiringer, Torbjörn

doi:10.1109/tte.2020.2971454

Cited by 27 publications

(10 citation statements)

References 35 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…EHC change depending on cell chemistry. 13,15,19,[23][24][25][26][27][28][29][30][31][32][33] importance of that element on the thermal behavior will depend on each cell characteristic, but it is an indispensable factor for a precise thermal analysis. Because of this, both electrical and thermal characterization of the cell must be done at the second stage.…”

Section: Improved Cell Selection Methodologymentioning

confidence: 99%

Avoiding Thermal Issues During Fast Charging Starting with Proper Cell Selection Criteria

Gonzalez-Aguirre

Gastelurrutia

Patil

et al. 2021

J. Electrochem. Soc.

View full text Add to dashboard Cite

Proper cell selection is determinant to optimize systems and reduce risks for new and high demanding areas such as electromobility. Thermal performance must be an indispensable selection criterion to avoid thermal issues in these fields, so cells should be correctly characterised and modelled. In this paper, an improved cell selection methodology that focuses on the thermal performance criterion especially for fast charging applications is proposed. After a first selection, two cell candidates were characterised and their heat generation was modelled and compared. With the selected cell, heat generation rate was determined and a 3C fast charge was performed to evidence the predicted thermal performance. The improved methodology identified a cell with an advantageous entropic heat coefficient (EHC) for fast charging, decreasing the heat energy generation by 54% concerning the other candidate cell, which results in optimisation of the thermal management system (TMS). This emphasizes the importance of proper cell selection based on thorough thermal characterization.

show abstract

Section: Improved Cell Selection Methodologymentioning

confidence: 99%

Avoiding Thermal Issues During Fast Charging Starting with Proper Cell Selection Criteria

Gonzalez-Aguirre

Gastelurrutia

Patil

et al. 2021

J. Electrochem. Soc.

View full text Add to dashboard Cite

show abstract

“…From the literature review, it is noted that the rest period, SOC, and temperature ranges for the PM method may vary from battery to battery because the size, material, or electrochemical properties of LiBs are not equal. In general, It is common to find that the PM method takes several days to several weeks in previous literature [15,42,43]. From this point of view, the proposed method can save experimental time while ensuring accuracy in determining the ECs.…”

Section: 2mentioning

confidence: 99%

“…The method derives the average entropic coefficients according to the battery SOC under the assumption that the same joule heat is generated during charging and discharging processes if the same C-rate is applied. Compared to the potentiometric method, the calorimetric method can save considerable time, but its inaccuracy is often pointed out, and there is a fatal disadvantage that the size of the battery is limited by the size of the equipment [15].…”

Section: Introductionmentioning

confidence: 99%

Inverse Heat Transfer Analysis Method to Determine the Entropic Coefficient of Reversible Heat in Lithium-Ion Battery

Han

Choi

Lee

et al. 2023

International Journal of Energy Research

View full text Add to dashboard Cite

An entropic coefficient of reversible entropic heat is a key parameter in determining the battery thermal responses, but its measurement is challenging due to time consuming and inaccurate traditional methods. In this regard, an analytical approach based on the inverse heat transfer problem is newly proposed to precisely determine the entropic coefficient with low experiment cost. Experiments are conducted by discharging the battery under four different current rates to inversely estimate the entropic coefficients, and the least squares regression are conducted to optimize the derived entropic coefficients. Through the comparison with the existing potentiometric method, the experimental time can be reduced by 93.7%. Furthermore, the accuracy of the proposed method is well verified by validating within the root mean square error of 0.848°C by comparing with the experimental results. Through the validation processes under various operating conditions, such as low to high current rates, charging process, dynamic loads, and different ambient temperatures, the proposed method is proven over temperatures ranging from 10°C to 60°C. Conclusively, the proposed method can be a great alternative to replace the classical experimental methods.

show abstract

“…After 26% until 94% SOC, the charging dU dT oc observably shifts to the left of the discharging , dU dT oc with decreased peak magnitude in the middle SOC range. Compared to the roughly reversible trend of entropy coefficient of the graphite electrode cells during charging and discharging, 40,41 this might be related to the micro-structural change of silicon during lithiation and delithiation that leads to thermodynamic irreversibility, which has not been fully explored yet.…”

Section: Kinetics Expressionmentioning

confidence: 99%

Reduced Order Electrochemical-Thermal Modeling of Cylindrical Cells Containing Graphite-Silicon Anodes Considering Thermal Gradients and Hysteresis

Du,

Park,

Choe

et al. 2024

J. Electrochem. Soc.

View full text Add to dashboard Cite

Electrochemical thermal modeling of cylindrical cells presents unique challenges compared to other cell formats due to the effect of internal temperature gradients, which typically requires time-consuming simulations due to the number of mesh elements solved numerically. Adding to the difficulty, the emergence of silicon anodes induces voltage hysteresis that affects the cell behavior. In this paper, a reduced-order electrochemical-thermal model is developed for a 21700 cell, which is highlighted by three microcells considering the effects of internal temperature gradients, and an anodic stress model capturing the hysteresis effects caused by the silicon content. The electrochemical, thermal, and mechanical behaviors are investigated. During operations, a temperature gradient arises in the radial direction, resulting in a decrease in local resistance and an increase in reaction rate at the high-temperature core location. The presence of silicon causes a voltage hysteresis that is dominant in the low SOC range, which affects not only the irreversible but also the entropic heat generation. The proposed method achieves an 85% calculation time reduction compared with the existing literature method and a 95% reduction compared with the full order method, while maintaining the accuracy of the terminal voltage and heat generation rate predictions that are validated by experiments.

show abstract

A Time- and Cost-Effective Method for Entropic Coefficient Determination of a Large Commercial Battery Cell

Cited by 27 publications

References 35 publications

Avoiding Thermal Issues During Fast Charging Starting with Proper Cell Selection Criteria

Avoiding Thermal Issues During Fast Charging Starting with Proper Cell Selection Criteria

Inverse Heat Transfer Analysis Method to Determine the Entropic Coefficient of Reversible Heat in Lithium-Ion Battery

Reduced Order Electrochemical-Thermal Modeling of Cylindrical Cells Containing Graphite-Silicon Anodes Considering Thermal Gradients and Hysteresis

Contact Info

Product

Resources

About