In Situ Characterization of Lithium-Ion Battery Dynamic Impedance Spectrum for Real-World Driving Applications

Dynamic electrochemical impedance spectroscopy (DEIS) provides critical insights into the kinetic pathways of Lithium-ion batteries under dynamic operating conditions, establishing its significance in advanced onboard diagnostics. However, accurate DEIS implementation faces challenges due to voltage drifts arising from load fluctuations, state of charge (SOC) variations, and temperature changes. To address these issues, this work proposes a novel differencing framework that systematically suppresses drifting components while preserving the integrity of perturbation and response signals, enabling precise in situ frequency response analysis. Analytical criteria are established to select differencing lags and orders, effectively mitigating disturbances without compromising frequency-domain responses under dynamic driving conditions. Comprehensive experimental investigations across diverse SOC levels, driving profiles, thermal environments, and battery aging states validate the method, achieving consistently accurate and stable DEIS measurements with maximum absolute residuals below 0.6% under Kramers–Kronig validation.

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Publication Details

Journal
IEEE Transactions on Power Electronics
Published
2025-03-24
DOI
https://doi.org/10.1109/tpel.2025.3554049
Citations
3
Primary Topic
Advanced Battery Technologies Research
Type
article
Field-Weighted Citation Impact
2.05

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article

In Situ Characterization of Lithium-Ion Battery Dynamic Impedance Spectrum for Real-World Driving Applications

Fei Gao, Yassine Amirat, Jinhao Meng, Mohamed Benbouzid et al.
3 citations
IEEE Transactions on Power Electronics
Advanced Battery Technologies Research
2.05
article

In Situ Characterization of Lithium-Ion Battery Dynamic Impedance Spectrum for Real-World Driving Applications

Fei Gao, Yassine Amirat, Jinhao Meng, Mohamed Benbouzid, Xinghao Du
article en
3 citations

Abstract

Dynamic electrochemical impedance spectroscopy (DEIS) provides critical insights into the kinetic pathways of Lithium-ion batteries under dynamic operating conditions, establishing its significance in advanced onboard diagnostics. However, accurate DEIS implementation faces challenges due to voltage drifts arising from load fluctuations, state of charge (SOC) variations, and temperature changes. To address these issues, this work proposes a novel differencing framework that systematically suppresses drifting components while preserving the integrity of perturbation and response signals, enabling precise in situ frequency response analysis. Analytical criteria are established to select differencing lags and orders, effectively mitigating disturbances without compromising frequency-domain responses under dynamic driving conditions. Comprehensive experimental investigations across diverse SOC levels, driving profiles, thermal environments, and battery aging states validate the method, achieving consistently accurate and stable DEIS measurements with maximum absolute residuals below 0.6% under Kramers–Kronig validation.

IEEE Transactions on Power ElectronicsVol. 40(8)
Centre National de la Recherche Scientifique (FR), Université de Bretagne Occidentale (FR), Franche-Comté Électronique Mécanique Thermique et Optique - Sciences et Technologies (FR), Institut Supérieur de l'Électronique et du Numérique (FR), Université de technologie de belfort-montbéliard (FR), Institut de Recherche Dupuy de Lôme (FR), Xi'an Jiaotong University (CN)
National Natural Science Foundation of China
Affordable and clean energy
Openalex Percentile: Top 14%
Advanced Battery Technologies Research
2.05
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