Safety focused modeling of lithium-ion batteries: A review

By Sara Abada, G. Marlair, A. Lecocq, M. Petit, V. Sauvant-Moynot, F. Huet. 2016

735 citations recorded by the source corpus.

Subfields: Automotive Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/09f7d2bec47540c7905ef7ae26a838356b2965f9

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. Xianke Lin
3. Simona Onori
4. Gianaurelio Cuniberti
5. Kang Li
6. Xiaosong Hu
7. Qiao Peng
8. Kai Zhang

In Electrical and Electronic Engineering

1. Kailong Liu
2. Xianke Lin
3. Simona Onori
4. Gianaurelio Cuniberti
5. Kang Li
6. Xiaosong Hu
7. Timon Rabczuk
8. Qiao Peng

Citations in the corpus

• Advanced Fault Diagnosis for Lithium-Ion Battery Systems: A Review of Fault Mechanisms, Fault Features, and Diagnosis Procedures (2020, methodology): “3) The fault data in LIBS are difficult to obtain, which limits the application of data-driven algorithms.”
• Graphene or h-BN paraffin composite structures for the thermal management of Li-ion batteries: A multiscale investigation (2017, background): “may happen which consequently declines the cell performance and may cause severe problems such as fire, explosion, and thermal runaway which, can lead to serious health and safety problems to the community [1,2].”