Model based identification of aging parameters in lithium ion batteries

By G. Prasad, Christopher D. Rahn. 2013

217 citations recorded by the source corpus.

Subfields: Automotive Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/ee163e540834cb7ef73dd798377d448f9fc2f685

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. Michael G. Pecht
3. Christoph R. Birkl
4. Robert R. Richardson
5. Michael A. Osborne
6. David Flynn
7. Valentin Robu
8. Saurabh Saxena

In Electrical and Electronic Engineering

1. David A. Howey
2. Christoph R. Birkl
3. Michael G. Pecht
4. David Flynn
5. Michael A. Osborne
6. Valentin Robu
7. Robert R. Richardson
8. Saurabh Saxena

Citations in the corpus

• Gaussian Process Regression for In Situ Capacity Estimation of Lithium-Ion Batteries (2017, background): “The most common of these involve parameter estimation of battery equivalent circuit models [7], [8], [9], [10] or electrochemical models [11], [12], [13], [14].”
• Machine learning pipeline for battery state-of-health estimation (2021, methodology): “[13] Githin K Prasad and Christopher D Rahn.”