Multimodal Physics-Based Aging Model for Life Prediction of Li-Ion Batteries

By Mohammadhosein Safari, M. Morcrette, A. Teyssot, C. Delacourt. 2009

499 citations recorded by the source corpus.

Subfields: Automotive Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/f5716e7174121ebf403fb84e5cc2040b4fdcf5c6

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. S. B. Peterson
2. Shriram Santhanagopalan
3. Simona Onori
4. Kandler A. Smith
5. Billy Wu
6. Valentin Sulzer
7. Venkat R. Subramanian
8. G. Suri

In Electrical and Electronic Engineering

1. S. B. Peterson
2. Simona Onori
3. Kandler A. Smith
4. Shriram Santhanagopalan
5. Billy Wu
6. Valentin Sulzer
7. Venkat R. Subramanian
8. G. Suri

Citations in the corpus

• A control-oriented cycle-life model for hybrid electric vehicle lithium- ion batteries (2016, background): “Electrochemical aging models: These are physics based models describing the actual phenomena of diffusion [8] and charge transport of ions of lithium inside a battery [12].”
• A continuum of physics-based lithium-ion battery models reviewed (2022, background): “Several DFN models [34, 87, 101, 109] of SEI formation exist in the literature to predict the capacity fade, with the pioneering work of Safari et al.”