Impedance measurements on lead–acid batteries for state-of-charge, state-of-health and cranking capability prognosis in electric and hybrid electric vehicles
By H. Blanke, Oliver Sven Bohlen, S. Buller, R. D. Doncker, Birger Fricke, A. Hammouche, D. Linzen, M. Thele, Dirk Uwe Sauer. 2005
245 citations recorded by the source corpus.
Subfields: Automotive Engineering, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/361a5782ebb127b6aa1b4dc8f1096db341b5edfa
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
- Shriram Santhanagopalan
- Ralph E. White
- Kai Goebel
- Bhaskar Saha
- Kannan Thirugnanam
- Mukesh Singh
- Praveen Kumar
- Chi Kwan Lee
In Electrical and Electronic Engineering
- Shriram Santhanagopalan
- Ralph E. White
- Kai Goebel
- Bhaskar Saha
- Kannan Thirugnanam
- Mukesh Singh
- Praveen Kumar
- Chi Kwan Lee
Citations in the corpus
- Comparison of prognostic algorithms for estimating remaining useful life of batteries (2009, methodology): “Impedance spectrometry has been used to build battery models for cranking capability prognosis (Blanke et al., 2005).”
- State-of-Charge Determination From EMF Voltage Estimation: Using Impedance, Terminal Voltage, and Current for Lead-Acid and Lithium-Ion Batteries (2007, methodology): “The impedance Z is measured using an ac current technique where a small ac current signal (typically 25 mA in a 20-Ah battery) is applied across the terminals of a battery and its ac voltage response is measured [13], [19]–[21].”
- Mathematical Modeling of Li-Ion Battery Using Genetic Algorithm Approach for V2G Applications (2014, methodology): “The parameters of this model are identified using the complicated impedance spectroscopy method [23], [24], [27].”
- An integrated approach to battery health monitoring using bayesian regression and state estimation (2007, methodology): “Impedance spectrometry has been used to build battery models for cranking capability prognosis [3].”
- State of charge estimation using an unscented filter for high power lithium ion cells (2010, methodology): “These include following the physical property of the cell, such as the internal resistance or the electrolyte density [3,4], measurement of the cell impedance [5–8], optical methods [9], eddy current methods [10], equivalent circuit analysis of the charge/ discharge and/or impedance curves [11–18,22”