Characterizing aging effects of lithium ion batteries by impedance spectroscopy
By U. Troeltzsch, O. Kanoun, H. Tränkler. 2006
410 citations recorded by the source corpus.
Subfields: Automotive Engineering, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/0424e00afc15b060abc0eada714e2b38568139f6
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Automotive Engineering
- Christoph R. Birkl
- David A. Howey
- Rui Xiong
- S. Alavi
- John J. McPhee
- Aden N. Seaman
- Jinpeng Tian
- Weixiang Shen
In Electrical and Electronic Engineering
- Christoph R. Birkl
- David A. Howey
- Rui Xiong
- S. Alavi
- John J. McPhee
- Aden N. Seaman
- Jinpeng Tian
- Weixiang Shen
Citations in the corpus
- A review on fault mechanism and diagnosis approach for Li-Ion batteries (2015, methodology): “The author in [50] proposed an online impedance spectroscopy method of fault diagnosis for Li-ion batteries.”
- Characterisation of batteries by electrochemical impedance spectroscopy (2020, background): “Electrochemical impedance spectroscopy (EIS) is a non-destructive technique which provides a considerable amount of information in a relatively short space of time, while preserving integrity of the battery [6].”
- A survey of mathematics-based equivalent-circuit and electrochemical battery models for hybrid and electric vehicle simulation (2014, positive): “Troltzsch et al. [42] use a combination of a genetic global optimization and Levenberg-Marquardt local optimization to find model parameters.”
- State-of-Health Estimation Based on Differential Temperature for Lithium Ion Batteries (2020, background): “[5] found the SOH fade is a monotonic function of charge transfer resistance, double-layer capacity and Warburg coefficient of an impedance model.”