Impedance-based non-linear dynamic battery modeling for automotive applications
By S. Buller, M. Thele, E. Karden, R. D. Doncker. 2003
183 citations recorded by the source corpus.
Subfields: Automotive Engineering, Electronic, Optical and Magnetic Materials
View Paper: https://www.semanticscholar.org/paper/29df87a4772f03aa0d0395582ca3ead924f0be57
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
- R. W. D. Doncker
- M. Thele
- E. Karden
- Moh Yamani Idna Idris
- Saad Mekhilef
- Prashant Shrivastava
- Tey Kok Soon
- S. Buller
In Electronic, Optical and Magnetic Materials
- Moh Yamani Idna Idris
- Saad Mekhilef
- Prashant Shrivastava
- Tey Kok Soon
- E. Karden
- M. Thele
- R. W. D. Doncker
- S. Buller
Citations in the corpus
- Impedance-based simulation models of supercapacitors and Li-ion batteries for power electronic applications (2003, methodology): “Therefore, sets of impedance spectra have to be analyzed systematically [ 3-5 ].”
- Impedance-based simulation models of supercapacitors and Li-ion batteries for power electronic applications (2003, background): “These results are beyond the scope of this paper but can be found in [1,4].”
- A survey of mathematics-based equivalent-circuit and electrochemical battery models for hybrid and electric vehicle simulation (2014, unknown): “The Th´evenin models of [13, 23, 24, 26, 33] and the electrochemical impedance spectroscopy (EIS) models of [7, 8, 22, 37–39] are good examples of these.”
- Overview of model-based online state-of-charge estimation using Kalman filter family for lithium-ion batteries (2019, methodology): “In this paper, the five types of battery modelling methods, namely empirical model (EM) [28], electrochemical model (ECM) [29], electrical equivalent circuit model (EECM) [30,31] electrochemical impedance model (ECIM) [31] and data-driven model (DDM) [32], are discussed with their related issues.”