Mathematical modeling of the capacity fade of Li-ion cells

By P. Ramadass, B. Haran, Ralph E. White, B. Popov. 2003

450 citations recorded by the source corpus.

Subfields: Automotive Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/b6753b39d0ed94ec000785f0e716a444f35c8cfb

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. L. Lam
2. Kannan Thirugnanam
3. Mukesh Singh
4. Praveen Kumar
5. Pavol Bauer
6. Joy T. P. Ezhil Reena

In Electrical and Electronic Engineering

1. L. Lam
2. Kannan Thirugnanam
3. Mukesh Singh
4. Praveen Kumar
5. Pavol Bauer
6. Joy T. P. Ezhil Reena

Citations in the corpus

• Mathematical Modeling of Li-Ion Battery Using Genetic Algorithm Approach for V2G Applications (2014, methodology): “There are several other experimental works found in the literature, which have focused on capacity fade analysis of a particular manufacturers’ battery [6], [7], [33]–[35].”
• Practical Capacity Fading Model for Li-Ion Battery Cells in Electric Vehicles (2013, background): “Furthermore, capacity fading can be divided into true capacity fading and rate capability loss [2].”