Electrochemical impedance spectroscopy based estimation of the state of charge of lithium-ion batteries

By Uwe Westerhoff, T. Kroker, K. Kurbach, M. Kurrat. 2016

148 citations recorded by the source corpus.

Subfields: Automotive Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/760a8e270c385f2ac8ebb028fd079e5f8cd01174

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

1. Nicolás Muñoz-Galeano
2. Henry O. Sarmiento-Maldonado
3. Juan Pablo Rivera-Barrera

In Electrical and Electronic Engineering

1. Nicolás Muñoz-Galeano
2. Henry O. Sarmiento-Maldonado
3. Juan Pablo Rivera-Barrera

Citations in the corpus

• SoC Estimation for Lithium-ion Batteries: Review and Future Challenges (2017, methodology): “In [52] the battery model is established using a simple ECM whose parameters are determined by the impedance measured data, presented as a Nyquist plot.”