Battery Cycle Life Prediction with Coupled Chemical Degradation and Fatigue Mechanics

By R. Deshpande, M. Verbrugge, Yang-Tse Cheng, John Wang, Ping Liu. 2012

378 citations recorded by the source corpus.

Subfields: Automotive Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/4565a2fdc0949f67936c10810c51551a6bdad5ed

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. Valentin Sulzer
2. Billy Wu

In Electrical and Electronic Engineering

1. Valentin Sulzer
2. Ferran Brosa Planella
3. Billy Wu
4. Robert Timms

Citations in the corpus

• A continuum of physics-based lithium-ion battery models reviewed (2022, methodology): “Physics-based models have been developed using the fatigue crack model of Paris’ law [28], which shows better accuracy for battery cells at high C-rates.”