Characterization of high-power lithium-ion batteries by electrochemical impedance spectroscopy. II: Modelling

By D. Andre, M. Meiler, Konrad Steiner, H. Walz, T. Soczka-Guth, Dirk Uwe Sauer. 2011

546 citations recorded by the source corpus.

Subfields: Automotive Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/d7ddc41cb3c2b11ba5f85021bcc96309a18101a9

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. David A. Howey
2. James Marco
3. Michael G. Pecht
4. Weihan Li
5. Philipp Dechent
6. N. Sengupta
7. Anuradha M. Annaswamy
8. Dirk Uwe Sauer

In Electrical and Electronic Engineering

1. James Marco
2. Michael G. Pecht
3. David A. Howey
4. Weihan Li
5. Philipp Dechent
6. N. Sengupta
7. Anuradha M. Annaswamy
8. Dirk Uwe Sauer

Citations in the corpus

• Improved SOC estimation of lithium-ion batteries with novel SOC-OCV curve estimation method using equivalent circuit model (2019, background): “Many studies have been made on the models of lithiumion batteries that reflect the characteristics of the battery [4], mainly lies in equivalent circuit models (ECM) [5] [6], electrochemical models [7] [8], and the impedance model [9].”