Impact of the Temperature in the Evaluation of Battery Performances During Long-Term Cycling—Characterisation and Modelling

Capron, Odile; Jaguemont, Joris; Gopalakrishnan, Rahul; Bossche, Peter Van den; Omar, Noshin; Mierlo, Joeri Van

doi:10.3390/app8081364

Cited by 13 publications

(10 citation statements)

References 50 publications

(64 reference statements)

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“…As the diffusion of lithium ultimately dictates the operation of intercalation cathodes such as NMC, these systems have been widely studied by a range of methods including cyclic voltammetry (CV) electrochemical impedance spectroscopy (EIS), galvanostatic intermittent titration technique (GITT) and solidstate lithium nuclear magnetic resonance (Li-NMR). [18][19][20][21] Among these, muon spin relaxation (mSR) remains a unique and powerful tool to probe the diffusive properties of lithium ions (among others) on a local scale. 22 In contrast to bulk electrochemical methods, mSR is not limited by grain boundaries or electrode preparation.…”

Section: Introductionmentioning

confidence: 99%

Stoichiometrically driven disorder and local diffusion in NMC cathodes

et al. 2021

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Section: Introductionmentioning

confidence: 99%

Stoichiometrically driven disorder and local diffusion in NMC cathodes

et al. 2021

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“…A strong correlation between battery temperature and battery degradation is reported for battery performance in the literature [2][3][4][5][6][7]. Therefore, the research on battery degradation induced by temperature effects is a vital multidisciplinary field with research branches in battery temperature monitoring and regulation [3,4,8], battery performance prediction [9][10][11][12][13][14][15] and optimization [8,16,17], as well as battery system design [1,[18][19][20]. The shared aim is to decrease the impact of temperature-induced fault mechanisms and battery cell performance flaws within the associated battery system, while, as the applications demand, safety objectives and durability ambitions are met [17,21,22].…”

Section: Introductionmentioning

confidence: 99%

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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“…The rise in battery temperature lowers performance and voltage but causes an increase in charging time and internal resistance [30]. In reference [31], temperature effects on the self-discharge rate are studied and ultra-capacitor modules with cooling elements and cooling are designed.…”

Section: Temperaturementioning

confidence: 99%

Parameter Identification and State Estimation of Lithium-Ion Batteries for Electric Vehicles with Vibration and Temperature Dynamics

Omariba

Zhang

Kang

et al. 2020

WEVJ

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There are different types of rechargeable batteries, but lithium-ion battery has proven to be superior due to its features including small size, more volumetric energy density, longer life, and low maintenance. However, lithium-ion batteries face safety issues as one of the common challenges in their development, necessitating research in this area. For the safe operation of lithium-ion batteries, state estimation is very significant and battery parameter identification is the core in battery state estimation. The battery management system for electric vehicle application must perform a few estimation tasks in real-time. Battery state estimation is defined by the battery model adopted and its accuracy impacts the accuracy of state estimation. The knowledge of the actual operating conditions of electric vehicles requires the application of an accurate battery model; for our research, we adopted the use of the dual extended Kalman filter and it demonstrated that it yields more accurate and robust state estimation results. Since no single battery model can satisfy all the requirements of battery estimation and parameter identification, the hybridization of battery models together with the introduction of internal sensors to batteries to measure battery internal reactions is very essential. Similarly, since the current battery models rarely consider the coupling effect of vibration and temperature dynamics on model parameters during state estimation, this research goal is to identify the battery parameters and then present the effect of the vibration and temperature dynamics in battery state estimation.

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Impact of the Temperature in the Evaluation of Battery Performances During Long-Term Cycling—Characterisation and Modelling

Cited by 13 publications

References 50 publications

Stoichiometrically driven disorder and local diffusion in NMC cathodes

Stoichiometrically driven disorder and local diffusion in NMC cathodes

The Impact of Environmental Factors on the Thermal Characteristic of a Lithium–ion Battery

Parameter Identification and State Estimation of Lithium-Ion Batteries for Electric Vehicles with Vibration and Temperature Dynamics

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