Development of an empirical aging model for Li-ion batteries and application to assess the impact of Vehicle-to-Grid strategies on battery lifetime

By M. Petit, E. Prada, V. Sauvant-Moynot. 2016

289 citations recorded by the source corpus.

Subfields: Automotive Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/06fbc9732be5e03f7ba9e076b552da83d969bce5

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. Kailong Liu
2. Yi Li
3. Widanalage Dhammika Widanage
4. Xiaosong Hu
5. L. Saw
6. Mattin Lucu

In Electrical and Electronic Engineering

1. Kailong Liu
2. Yi Li
3. Widanalage Dhammika Widanage
4. Xiaosong Hu
5. Zuansi Cai
6. H. S. Thiam
7. L. Saw
8. Mattin Lucu

Citations in the corpus

• Gaussian Process Regression With Automatic Relevance Determination Kernel for Calendar Aging Prediction of Lithium-Ion Batteries (2020, background): “[10] developed an empirical capacity loss model to evaluate the effects of SOC and temperature on storage lifetime of Li-ion bat-”
• Novel thermal management system using mist cooling for lithium-ion battery packs (2018, background): “In extreme conditions, high operating temperature may cause irreversible chemical reactions, leading to the generation of thermal runaway [4-6].”