This study applied the nonlinear ultrasonic method, second harmonic generation, to precisely estimate the state of charge (SoC) in lithium-ion batteries. The second harmonic of the longitudinal wave is generated on a pouch cell battery at 5 MHz with a through-transmission setup. The relative nonlinear parameter is determined by analyzing the amplitudes at the fundamental and second harmonic frequencies. To enhance the nonlinear parameter's measurement accuracy, multiple excitation amplitudes are employed. Two separate charge/discharge tests (four-cycle and eight-cycle) are conducted on the battery at a rate of C/10. The nonlinear parameter is measured periodically during the charge/discharge process, and temperature compensation is applied to the measurement. The correlation curves between the nonlinear parameter and the actual SoC align well for the four-cycle and eight-cycle tests, and a robust linear relationship is observed for both correlation curves. A linear model and a second-order polynomial model are applied to fit the correlation using all data points from both tests. The two models are employed to validate the SoC prediction on a second battery by using a four-cycle test. The results indicate that both models can predict the SoC with an accuracy of approximately 3%, whereas the polynomial model demonstrates smaller errors in the regions near 0% and 100% SoC. Therefore, the nonlinear parameter , measured through the second harmonic generation, can effectively predict lithium-ion battery SoC with an accuracy of less than 3%.
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12 February 2024
Research Article|
February 13 2024
Second harmonic generation for estimating state of charge of lithium-ion batteries
Special Collection:
2024 Rising Stars Collection
Hongbin Sun
;
Hongbin Sun
a)
(Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Validation, Writing – original draft, Writing – review & editing)
Oak Ridge National Laboratory
, 1 Bethel Valley Road, Oak Ridge, Tennessee 37830, USA
a)Author to whom correspondence should be addressed: sunh1@ornl.gov
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Pradeep Ramuhalli
;
Pradeep Ramuhalli
(Funding acquisition, Methodology, Project administration, Supervision, Writing – review & editing)
Oak Ridge National Laboratory
, 1 Bethel Valley Road, Oak Ridge, Tennessee 37830, USA
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Ruhul Amin
;
Ruhul Amin
(Conceptualization, Investigation, Resources, Software, Writing – original draft, Writing – review & editing)
Oak Ridge National Laboratory
, 1 Bethel Valley Road, Oak Ridge, Tennessee 37830, USA
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Ilias Belharouak
Ilias Belharouak
(Funding acquisition, Project administration, Supervision, Writing – review & editing)
Oak Ridge National Laboratory
, 1 Bethel Valley Road, Oak Ridge, Tennessee 37830, USA
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a)Author to whom correspondence should be addressed: sunh1@ornl.gov
Appl. Phys. Lett. 124, 073902 (2024)
Article history
Received:
November 16 2023
Accepted:
January 12 2024
Citation
Hongbin Sun, Pradeep Ramuhalli, Ruhul Amin, Ilias Belharouak; Second harmonic generation for estimating state of charge of lithium-ion batteries. Appl. Phys. Lett. 12 February 2024; 124 (7): 073902. https://doi.org/10.1063/5.0187829
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