2022
DOI: 10.1002/ente.202100942
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Battery Health Diagnosis Approach Integrating Physics‐Based Modeling with Electrochemical Impedance Spectroscopy

Abstract: Herein, a battery health diagnosis approach that combines electrochemical performance aging and lumped thermal models with electrochemical impedance spectroscopy and voltage monitoring is proposed, allowing the segregation and quantification of ohmic, chemical, and diffusion‐mechanical related losses. This approach accurately identifies battery lifetime thresholds such as first‐life, second‐life, and turnaround points, by combining the use of a capacity indicator and overpotentials as battery health indicators… Show more

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Cited by 8 publications
(2 citation statements)
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“…To solve the above problems, we must first understand more information about the electrochemical behavior of electrode materials during lithium delithiation/lithiation, including the performance of SEI and the charge transfer process at the electrode/electrolyte interface, which play a key role in cycle stability and capacity maintenance. EIS is one of the most effective instruments for researching the interface properties of electrode materials based on the delithiation/lithiation mechanism and has been confirmed before [20][21][22][23][24]. However, there are few studies on the failure mechanism of the electrode interface of Li-manganese-rich electrode materials in systematic EIS testing.…”
Section: Introductionmentioning
confidence: 94%
“…To solve the above problems, we must first understand more information about the electrochemical behavior of electrode materials during lithium delithiation/lithiation, including the performance of SEI and the charge transfer process at the electrode/electrolyte interface, which play a key role in cycle stability and capacity maintenance. EIS is one of the most effective instruments for researching the interface properties of electrode materials based on the delithiation/lithiation mechanism and has been confirmed before [20][21][22][23][24]. However, there are few studies on the failure mechanism of the electrode interface of Li-manganese-rich electrode materials in systematic EIS testing.…”
Section: Introductionmentioning
confidence: 94%
“…Currently, the research trend in the assessment of the health condition of lithium-ion batteries is to combine multiple methods to leverage their respective advantages and improve the accuracy of health condition evaluation [7] . In this paper, based on the electrochemical impedance spectroscopy algorithm [8] , supplemented by equivalent circuit models, cycle aging tests, and neural network algorithms, we aim to explore a more efficient and accurate method for assessing the health condition [9] .…”
Section: Introductionmentioning
confidence: 99%