Estimating state of charge and health of lithium-ion batteries with guided waves using built-in piezoelectric sensors/actuators

Ladpli, Purim; Kopsaftopoulos, Fotis; Chang, Fu-Kuo

doi:10.1016/j.jpowsour.2018.02.056

Cited by 214Advanced Battery Technologies ResearchUltrasonics and Acoustic Wave PropagationAdvancements in Battery Materials

Estimating state of charge and health of lithium-ion batteries with guided waves using built-in piezoelectric sensors/actuators

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Ladpli, Purim, Kopsaftopoulos, Fotis, Chang, Fu-Kuo·2018·Journal of Power Sources

DOI 10.1016/j.jpowsour.2018.02.056

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Ladpli et al. developed built-in acoustic-ultrasonic guided wave technique to monitor battery SOH and discovered non-linear correlation between remaining battery capacity and guided wave signal features.
“Ladpli et al. [90] developed a built-in acoustic-ultrasonic guided wave technique to monitor battery SOH and discovered a non-linear correlation between the remaining battery capacity with the guided wave signal features.”
From Data-driven health estimation and lifetime prediction of lithium-ion batteries: A review (2019) · cites this paper as [90]

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“[90] developed a built-in acoustic-ultrasonic guided wave technique to monitor battery SOH and discovered a non-linear correlation between the remaining battery capacity with the guided wave signal features.”
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Battery charge and health state monitoring via ultrasonic guided-wave-based methods using built-in piezoelectric transducers
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Self-citation
State-of-charge and state-of-health estimation for lithium-ion battery using the direct wave signals of guided wave
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Ultrasonic guided wave measurement and modeling analysis of the state of charge for lithium-ion battery
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Ultrasonic Guided Waves as an Indicator for the State-of-Charge of Li-Ion BatteriesPreprint
Reichmann, B., & Khodaei, Z. S. (2023) · SSRN Electronic Journal · doi:10.2139/ssrn.4378359

Authors: Ladpli, P., Kopsaftopoulos, F., & Chang, F.-K.
Affiliations: Stanford University (US)
Rensselaer Polytechnic Institute (US)
Corresponding author: Ladpli, Purim
ORCID: Ladpli, Purim
Kopsaftopoulos, Fotis
Chang, Fu-Kuo
Venue: Journal of Power Sources
Publisher: Elsevier BV
Published: 2018-04
Volume: 384
Pages: 342-354
ISSN: 0378-7753 (ISSN-L)
DOI: 10.1016/j.jpowsour.2018.02.056
OpenAlex: W2789298067
Cited by: 214
References: 87
Citations by year: 2026: 30 · 2025: 41 · 2024: 49 · 2023: 26 · 2022: 21 · 2021: 21 · 2020: 11 · 2019: 12 · 2018: 3
FWCI: 6.25
Type: journal article
Language: en
Open access: bronze
doi.org
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
www.elsevier.com/legal/tdmrep-license (tdm)
www.elsevier.com/open-access/userlicense/1.0/ (am, 356 d)
doi.org/10.15223/policy-017 (stm-asf)
doi.org/10.15223/policy-037 (stm-asf)
doi.org/10.15223/policy-012 (stm-asf)
doi.org/10.15223/policy-029 (stm-asf)
doi.org/10.15223/policy-004 (stm-asf)
Locations: Journal of Power Sources (acceptedVersion)
OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) (submittedVersion)
Funders: Advanced Research Projects Agency - Energy (DE-AR0000393)
Topics: Physical Sciences › Engineering › Automotive Engineering › Advanced Battery Technologies Research
Physical Sciences › Engineering › Mechanics of Materials › Ultrasonics and Acoustic Wave Propagation
Physical Sciences › Engineering › Electrical and Electronic Engineering › Advancements in Battery Materials
Keywords: lithium-ion batteries, state of charge estimation, state of health estimation, guided waves, piezoelectric sensors, piezoelectric actuators, pouch cells, time-of-flight, signal amplitude, battery degradation, acoustic modeling, sensor networks, battery health monitoring

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