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Nonlinear Frequency Response Analysis (NFRA) of Lithium-Ion Batteries

Title data

Harting, Nina ; Wolff, Nicolas ; Röder, Fridolin ; Krewer, Ulrike:
Nonlinear Frequency Response Analysis (NFRA) of Lithium-Ion Batteries.
In: Electrochimica Acta. Vol. 248 (2017) . - pp. 133-139.
ISSN 0013-4686
DOI: https://doi.org/10.1016/j.electacta.2017.04.037

Abstract in another language

Electrochemical Impedance Spectroscopy (EIS) is the most commonly used technique for dynamic analysis of Lithium-ion batteries. EIS, however, limits analysis to linear contributions of the processes. For Lithium-ion batteries with their nonlinear electrochemistry and physics, dynamics are only analysed with regard to linear system behaviour and therefore some dynamic information is not used. Nonlinear Frequency Response Analysis (NFRA) extends dynamic analysis to consider also nonlinearities. Higher excitation amplitudes are applied and higher order frequency responses Yn are measured. The spectra show distinct higher harmonic responses with strong characteristic nonlinear behaviour. We investigate amplitude and temperature dependency of higher harmonic responses as well as the impact of ageing of Lithium-ion batteries with NFRA. By correlating NFRA and EIS, solid diffusion, reaction and ionic transport contributions at and in the SEI can be separated and identified. Thereby the method of NFRA is seen as an important additional dynamic analysis method for Lithium-ion batteries.

Further data

Item Type: Article in a journal
Refereed: Yes
Institutions of the University: Faculties > Faculty of Engineering Science
Faculties
Faculties > Faculty of Engineering Science > Junior Professor Methods of Monitoring and Managing Batteries > Junior Professor Methods of Monitoring and Managing Batteries - Juniorprof. Dr.-Ing. Fridolin Röder
Faculties > Faculty of Engineering Science > Junior Professor Methods of Monitoring and Managing Batteries
Result of work at the UBT: No
DDC Subjects: 600 Technology, medicine, applied sciences > 620 Engineering
Date Deposited: 20 Nov 2020 08:13
Last Modified: 27 Nov 2020 07:34
URI: https://eref.uni-bayreuth.de/id/eprint/59660