Numerical study on the heat generation and thermal control of lithium-ion battery

Chen, Zhangjie; Qin, Yanzhou; Dong, Zizhe; Zheng, Jiayang; Liu, Yuhang

doi:10.1016/j.applthermaleng.2022.119852

Cited by 34 publications

(8 citation statements)

References 32 publications

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“…84 The parameters in the thermal model of LIBs need to be measured through experiments, but due to the complexity of the internal structure of the battery and the diversity of working conditions, parameter identification is relatively difficult, requiring a large amount of experimental data and repeated model validation. 85 Even thermal models that have been repeatedly validated have limited accuracy in estimating SOC.…”

Section: Analysis Of Various Modeling Methods Of Libsmentioning

confidence: 99%

Review—Optimized Particle Filtering Strategies for High-Accuracy State of Charge Estimation of LIBs

Wang¹,

Jia²,

Takyi‐Aninakwa³

et al. 2023

J. Electrochem. Soc.

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Lithium-ion batteries (LIBs) are used as energy storage systems due to their high efficiency. State of charge (SOC) estimation is one of the key functions of the battery management system (BMS). Accurate SOC estimation helps to determine the driving range and effective energy management of electric vehicles (EVs). However, due to complex electrochemical reactions and nonlinear battery characteristics, accurate SOC estimation is challenging. Therefore, this review examines the existing methods for estimating the SOC of LIBs and analyzes their respective advantages and disadvantages. Subsequently, a systematic and comprehensive analysis of the methods for constructing LIB models is conducted from various aspects such as applicability and accuracy. Finally, the advantages of particle filtering (PF) over the Kalman filter (KF) series algorithm for estimating SOC are summarized, and various improved PF algorithms for estimating the SOC of LIBs are compared and discussed. Additionally, this review provides corresponding suggestions for researchers in the battery field.

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Section: Analysis Of Various Modeling Methods Of Libsmentioning

confidence: 99%

Review—Optimized Particle Filtering Strategies for High-Accuracy State of Charge Estimation of LIBs

Wang¹,

Jia²,

Takyi‐Aninakwa³

et al. 2023

J. Electrochem. Soc.

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“…The 1D electrochemical properties of electrodes and electrolyte. [50,62,63] Specification of parameters (unit) outcomes with the published literature results for cell discharge (using 1D electrochemical model) and the average cell temperature (using 2D thermal model). The discharge curve fitted fairly well over the numerical and experimental results of Yang et al [37] (Figure 7) and Xu et al [61] (Figure 8) at different C rates and ambient temperature conditions.…”

Section: Model Validationmentioning

confidence: 99%

Evaluating Air‐Cooling Performance of Lithium‐Ion‐Battery Module with Various Cell Arrangements

Kumar,

Singh,

Gupta

2023

Energy Tech

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The significant heat generated during the operation of lithium‐ion batteries raises the battery temperature thereby leading to performance degradation and thermal runaway in a thermal abuse environment. Therefore, a simple but effective battery thermal management system (BTMS) is crucial to achieve the permissible operating temperatures. In this work, the performance of air‐cooled BTMS is evaluated by changing the arrangement of cells under discharging conditions. Seven distinct arrangements (trapezoidal, slanted, cross, aligned, staggered, tilted square, and zigzag) of lithium‐ion cells are investigated in a rectangular battery pack. Two‐way coupling of 1D electrochemical model and 2D conjugate thermal‐fluid model is employed. The increasing Reynolds number reduces the cell temperature due to augmented convective effects. Under otherwise identical conditions, the zigzag cell arrangement outperforms the other cell arrangements but at the expense of the highest pressure drop (≈threefold). Particularly, the values of average and maximum cell temperature are reduced by ≈5K and ≈4K, respectively, for Re = 1000 at 1C in comparison to the aligned cell arrangement. Similarly, the least favorable performance is predicted by the trapezoidal, slanted, and cross‐cell arrangements. Finally, a performance plot is suggested considering the trade‐off between the power requirement and the cooling enhancement.

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“…Additives like fluoroethylene carbonate (FEC) can also form stable passivation layers on electrode surfaces, reducing side reactions and improving long-term cycling performance [5]. Current density refers to the amount of electrical current per unit area of electrode surface, and higher current densities usually result in faster charge/discharge rates but can also lead to increased internal resistance and heat generation [6]. Generally, higher temperatures increase ion mobility and electrode kinetics, leading to enhanced charge/discharge rates and overall performance.…”

Section: Introductionmentioning

confidence: 99%

“…This methodology is particularly advantageous when employing X-ray techniques due to their compatibility with in situ/operando studies. This compatibility is vital for LIB research as it allows for real-time investigation of material transformations and chemical reactions occurring within the battery during operation [6]. X-rays, as non-destructive tools, enable the study of the battery without causing permanent damage to the sample, allowing for continuous monitoring throughout the experiment [8].…”

Section: Introductionmentioning

confidence: 99%

Lithium-Ion Batteries under the X-ray Lens: Resolving Challenges and Propelling Advancements

Samimi,

Saadabadi,

Hosseinlaghab

2024

QuBS

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The quest for high-performance lithium-ion batteries (LIBs) is at the forefront of energy storage research, necessitating a profound understanding of intricate processes like phase transformations and thermal runaway events. This review paper explores the pivotal role of X-ray spectroscopies in unraveling the mysteries embedded within LIBs, focusing on the utilization of advanced techniques for comprehensive insights. This explores recent advancements in in situ characterization tools, prominently featuring X-ray diffraction (XRD), X-ray tomography (XRT), and transmission X-ray microscopy (TXM). Each technique contributes to a comprehensive understanding of structure, morphology, chemistry, and kinetics in LIBs, offering a selective analysis that optimizes battery electrodes and enhances overall performance. The investigation commences by highlighting the indispensability of tracking phase transformations. Existing challenges in traditional methods, like X-ray absorption spectroscopy (XAS), become evident when faced with nanoscale inhomogeneities during the delithiation process. Recognizing this limitation, the review emphasizes the significance of advanced techniques featuring nanoscale resolution. These tools offer unprecedented insights into material structures and surface chemistry during LIB operation, empowering researchers to address the challenges posed by thermal runaway. Such insights prove critical in unraveling interfacial transport mechanisms and phase transformations, providing a roadmap for the development of safe and high-performance energy storage systems. The integration of X-ray spectroscopies not only enhances our understanding of fundamental processes within LIBs but also propels the development of safer, more efficient, and reliable energy storage solutions. In spite of those benefits, X-ray spectroscopies have some limitations in regard to studying LIBs, as referred to in this review.

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Numerical study on the heat generation and thermal control of lithium-ion battery

Cited by 34 publications

References 32 publications

Review—Optimized Particle Filtering Strategies for High-Accuracy State of Charge Estimation of LIBs

Review—Optimized Particle Filtering Strategies for High-Accuracy State of Charge Estimation of LIBs

Evaluating Air‐Cooling Performance of Lithium‐Ion‐Battery Module with Various Cell Arrangements

Lithium-Ion Batteries under the X-ray Lens: Resolving Challenges and Propelling Advancements

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