Simulation of capacity fade in lithium-ion batteries

By R. Spotnitz. 2003

547 citations recorded by the source corpus.

Subfields: Automotive Engineering, Electrical and Electronic Engineering, Electronic, Optical and Magnetic Materials

View Paper: https://www.semanticscholar.org/paper/0a934d16caf7b64f9633e7cbfcecb9c694ef0667

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. Michael G. Pecht
2. Junyi Shen
3. Serkan Dusmez
4. Alireza Khaligh
5. Kwok Leung Tsui
6. Yinjiao Xing
7. L. Lam
8. Göran Andersson

In Electrical and Electronic Engineering

1. Junyi Shen
2. Alireza Khaligh
3. Serkan Dusmez
4. C. Das
5. Daryoush Habibi
6. L. Lam
7. Henk Jan Bergveld
8. Kwok Leung Tsui

In Electronic, Optical and Magnetic Materials

1. L. Lam
2. Michael G. Pecht
3. Pavol Bauer
4. Kandler A. Smith

Citations in the corpus

• Comparison of Plug-In Hybrid Electric Vehicle Battery Life Across Geographies and Drive Cycles (2012, background): “Various models in the literature, ranging from physics-based [3,4] to semi-empirical [5,6] and empirical [7,8,9], describe the dependence of battery resistance and capacity fade on various aging factors.”