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Estimating state of charge and health of lithium-ion batteries with guided waves using built-in piezoelectric sensors/actuators
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“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.”
BackgroundState estimation for advanced battery management: Key challenges and future trends
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Metadata
- Authors
- Ladpli, P., Kopsaftopoulos, F., & Chang, F.-K.
- Affiliations
- Stanford University (US)
- Rensselaer Polytechnic Institute (US)
- Corresponding author
- Ladpli, Purim
- Venue
- Journal of Power Sources
- Publisher
- Elsevier BV
- Published
- 2018-04
- Volume
- 384
- Pages
- 342-354
- ISSN
- 0378-7753 (ISSN-L)
- 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 › Battery Modeling and Management
- 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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