Effects of alternating current on Li-ion battery performance: Monitoring degradative processes with in-situ characterization techniques

Ghassemi, Alireza; Banerjee, Parama Chakraborty; Hollenkamp, Anthony F.; Zhang, Zhe; Bahrani, Behrooz

doi:10.1016/j.apenergy.2020.116192

Cited by 14 publications

(6 citation statements)

References 41 publications

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“…With the promotion of various artificial SEI methods, the solution of the lithium dendrite problem has been simplified. Therefore, this review also looks forward to several possible solutions to the lithium dendrite problem at present and in the future. − Moreover, this review summarizes the number of articles on SEI research in the past two decades (Figure ).…”

Section: Introductionmentioning

confidence: 99%

Review on Action Mechanism and Characterization of Natural/Artificial Solid Electrolyte Interphase of Lithium Battery: Latest Progress and Future Directions

et al. 2023

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At present, the basic structure and mechanism of solid electrolyte interface (SEI) have been studied based on different models. Although many researchers have observed the characteristics and properties of SEI through various characterization methods, it is still unable to explain its dynamic mechanism of action from the very small microscopic level. Among them, most researchers change the electrochemical performance of batteries by adding additives or material coating. Traditional research methods only state the performance of batteries from the appearance but lack detailed analysis of the electrochemical reaction of batteries during the research process. Based on the analysis of some models established by SEI, this study summarized the analysis of the research angle of SEI film through various characterization methods. The present traditional SEI and artificial SEI are introduced. Finally, the methods to improve the chemical performance of lithium battery and the challenges to solve the problems are summarized and prospected.

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Section: Introductionmentioning

confidence: 99%

Review on Action Mechanism and Characterization of Natural/Artificial Solid Electrolyte Interphase of Lithium Battery: Latest Progress and Future Directions

et al. 2023

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“…[17][18][19] Effective early temperature prediction in the initial stage is the key to avoid thermal runaway accidents. 20,21 At present, the main method adopted by battery management system is to install temperature sensors on the battery surface and estimate the average temperature of the battery by using the temperature measured by multiple sensors. However, due to the problems of battery polarization and heat conduction, this method cannot meet the early and sensitive requirements.…”

Section: Introductionmentioning

confidence: 99%

Temperature prediction of lithium‐ion batteries based on electrochemical impedance spectrum: A review

Wang

Duan

et al. 2022

Intl J of Energy Research

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Summary With the rapid development of global electric vehicles, artificial intelligence, and aerospace, lithium‐ion batteries (LIBs) have become more and more widely used due to their high property. More and more disasters are caused by battery combustion. Among them, the temperature prediction of LIBs is the key to prevent the occurrence of fire. At present, using surface temperature sensor to measure the temperature of LIBs is the main method. High‐capacity LIB packs used in electric vehicles and grid‐tied stationary energy storage system essentially consist of thousands of individual LIB cells. Therefore, installing a physical sensor at each cell, especially at the cell core, is not practically feasible from the solution cost, space, and weight point of view. So developing a new method for battery temperature prediction has become an urgent problem to be solved. Electrochemical impedance spectroscopy (EIS) is a widely applied non‐destructive method of characterization of LIBs. In recent years, methods of predicting LIBs temperature by EIS have been developed. The prediction of LIBs temperature based on EIS has the advantages of high real‐time performance and prediction accuracy, and the device is simple and practical. The proposed method has a good development prospect in electric vehicles and other fields and can effectively solve the current problems of LIBs temperature prediction. Therefore, it is urgent to summarize these works to promote the next development. This review summarizes the main methods of using EIS to predict the temperature of LIBs in recent years, including the methods based on the impedance, phase shift, and intercept frequency. The principle and application of various methods are reviewed. The advantages and disadvantages of different methods and the future development direction are discussed. Highlights Use EIS to quickly and effectively predict the internal temperature changes of LIBs. No hardware temperature sensors and thermal model are required. The methods to predict battery temperature based on impedance, phase shift, and intercept frequency are reviewed.

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“…The hot spots may not be recognized, making it difficult to obtain the real temperature inside the battery. Suppose the battery surface temperature or ambient temperature is directly used for calculation which will lead to a large error in battery state estimation, resulting in the excessive internal temperature of individual batteries and fire 3 . Therefore, real-time detection of internal battery temperature is the key to reducing and eliminating battery safety accidents.…”

Section: Introductionmentioning

confidence: 99%

A Method to Predict the Lithium-ion Battery Internal Temperature

Leng¹,

Yang²,

Arifeen³

et al. 2022

Asian Society for Precision Engineering and Nanotechnology (ASPEN 2022)

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Effects of alternating current on Li-ion battery performance: Monitoring degradative processes with in-situ characterization techniques

Cited by 14 publications

References 41 publications

Review on Action Mechanism and Characterization of Natural/Artificial Solid Electrolyte Interphase of Lithium Battery: Latest Progress and Future Directions

Review on Action Mechanism and Characterization of Natural/Artificial Solid Electrolyte Interphase of Lithium Battery: Latest Progress and Future Directions

Temperature prediction of lithium‐ion batteries based on electrochemical impedance spectrum: A review

A Method to Predict the Lithium-ion Battery Internal Temperature

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