Electrochemical impedance spectroscopy study of commercial Li‐ion phosphate batteries: A metrology perspective

Deleebeeck, Lisa; Veltzé, Sune

doi:10.1002/er.5350

Cited by 29 publications

(12 citation statements)

References 89 publications

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“…Mathematical Modeling: The acceptability of all the impedance measurements was assessed by applying the Kramers-Kronig relation. [34] The Kramers-Kronig consistent data can be used for subsequent analysis. [24] The Kramers-Kronig analyses were performed by fitting a generalized model to the spectral data.…”

Section: Methodsmentioning

confidence: 99%

Investigation of Simultaneous Influences of Significant Charging Factors on Lithium‐Ion Batteries and Identifying Interaction Effects

Moralı

2021

Energy Tech

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Lithium‐ion batteries are an essential technology with extensive use in numerous electric applications. A complete understanding of the simultaneous effects of charging factors such as state‐of‐charge (SOC), C‐rate, and rest period is essential to manage lithium‐ion batteries. This study aims to determine the significant charging factors influencing the battery dynamics to provide detailed insights into the relationship between the selected charging factors and the battery dynamics. The cathodic charge transfer resistance and the ohmic resistance are substantially affected by the C‐rate, whereas the SOC dominantly contributes to only the Rt;c. The effect of the SOC on the ohmic resistance and the cathodic charge transfer resistance depends on the C‐rate. The cathode charge transfer resistance is the most sensitive dynamic parameter to charging factors. The solid electrolyte interphase formation charge transfer resistance is the most stable battery dynamic parameter. The sensitivity analysis expressly shows the part of the lithium‐ion battery that needs to be improved to provide better performance under the implemented charging protocols. Comprehensive analysis of the simultaneous effects of charging factors on battery dynamics can also be used in a battery management system to measure changes in battery dynamics that will support lithium‐ion battery controls.

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Section: Methodsmentioning

confidence: 99%

Investigation of Simultaneous Influences of Significant Charging Factors on Lithium‐Ion Batteries and Identifying Interaction Effects

Moralı

2021

Energy Tech

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“…This procedure was repeated at increments of 25% current capacity reductions until the battery reached a state of charge (SOC) of 0%. The four factors of SOC, SOH, ambient temperature, and compressive force were considered in preliminary tests to set the frequency range of the EIS protocol because the EIS result depends on these factors 41 . Given that the correlation between the functional lifetime and the SOC is important in LIBs for EV applications, the EIS results obtained at various SOCs are expected to provide important information for interpreting the electrochemistry relating to the degradation characteristics.…”

Section: Methodsmentioning

confidence: 99%

Degradation pathways dependency of a lithium iron phosphate battery on temperature and compressive force

Kim

Kwak

2020

Int J Energy Res

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Summary The present study examines, for the first time, the evolution of the electrochemical impedance spectroscopy (EIS) of a lithium iron phosphate (LiFePO4) battery in response to degradation under various operational conditions. Specifically, the study focuses on the effects of operational temperature and compressive force upon degradation. In addition, the evolution of the corresponding parameters with the proposed equivalent circuit model (ECM) is estimated in order to elucidate the influence of the specific electrochemical mechanisms upon the degradation of the LiFePO4 battery. This systematic analysis reveals that the degradation of electrochemistry significantly depends upon the operational temperature and the compressive force. Specifically, the operational temperature is found to affect the degradation of all components in the battery, whereas the compression only affects the ohmic resistance and interfacial impedance. Moreover, these two conditions can each accelerate and decelerate the degradation rate to generate distinct degradation pathways depending upon the cycle. The origins of these distinct degradation pathways are further elucidated via differential voltage (DV) analysis. This comparative study shows for the first time that EIS is more effective than DV for elucidating the effects of compressive force upon the degradation. This is because the high‐frequency response of EIS is more sensitive to the mechanical constraints that affect the ohmic resistance and interfacial layer impedance. Finally, the absolute impedance magnitude, consisting of the double‐layer capacitance, the charge transfer resistance, and the Warburg impedance, is suggested as a novel and distinct health indicator based on Grey relational analysis because this indicator is more highly correlated to the state of health compared to the other independent parameters in the proposed ECM.

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“…Considering the widespread hysteresis in lead-acid batteries, the SOC estimation technique based on differential evolution was adopted to minimize the hysteresis effect and realize the accurate estimation of SOC [73]. As a general view, many scholars have made a detailed review on SOC estimation [74][75][76][77].…”

Section: Other Relevant Researchmentioning

confidence: 99%

Construction Planning and Operation of Battery Swapping Stations for Electric Vehicles: A Literature Review

Feng

2021

Energies

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The popularity of electric vehicles has been limited by factors such as range, long charging times and fast power failure in winter. In order to overcome these challenges, battery swapping stations (BSS) have been constructed and greatly promoted in recent years. In this paper, the related literature on electric vehicle service is reviewed and the co-occurrence of keywords is analyzed using CiteSpace. The literature is classified according to clustering results and recurring themes, such as the location of BSS, inventory decisions, charging strategies and BSS assignment. In each topic, typical optimization models and algorithms proposed in previous studies are summarized. Then, this paper gives a case about the business model and revenue capacity calculation of BSS. Finally, it points out the future research direction of battery swapping stations for electric vehicles.

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Electrochemical impedance spectroscopy study of commercial Li‐ion phosphate batteries: A metrology perspective

Cited by 29 publications

References 89 publications

Investigation of Simultaneous Influences of Significant Charging Factors on Lithium‐Ion Batteries and Identifying Interaction Effects

Investigation of Simultaneous Influences of Significant Charging Factors on Lithium‐Ion Batteries and Identifying Interaction Effects

Degradation pathways dependency of a lithium iron phosphate battery on temperature and compressive force

Construction Planning and Operation of Battery Swapping Stations for Electric Vehicles: A Literature Review

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