Multi-Domain Modeling of Lithium-Ion Batteries Encompassing Multi-Physics in Varied Length Scales

By Gi‐Heon Kim, Kandler A. Smith, Kyu-Jin Lee, Shriram Santhanagopalan, Ahmad Pesaran. 2011

408 citations recorded by the source corpus.

Subfields: Automotive Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/e1c43ee39e985855ef0633a0b84f60499e87ba4a

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. Yin
2. Jun Xu
3. Binghe Liu
4. David Greene
5. Ramteen Sioshansi
6. Ahmad Pesaran
7. Gil Tal
8. Inês Lima Azevedo

In Electrical and Electronic Engineering

1. S. Yin
2. Jun Xu
3. Binghe Liu
4. Ramteen Sioshansi
5. A. Jenn
6. David Greene
7. Morgan D. Bazilian
8. Ahmad Pesaran

Citations in the corpus

• The rise of electric vehicles—2020 status and future expectations (2021, positive): “Significant efforts also have focused on developing electrochemical and thermal modeling of batteries for EV applications (Kim et Besides EV applications, batteries can offer energy-storage solutions for hybrid-or distributed-energy systems.”
• Advances in Batteries, Battery Modeling, Battery Management System, Battery Thermal Management, SOC, SOH, and Charge/Discharge Characteristics in EV Applications (2023, neutral): “thermal runaway, particularly for new batteries [176].”
• Integrated computation model of lithium-ion battery subject to nail penetration (2016, background): “These simulations typically involve electrochemical– thermal coupling [11,31,32] or individual jellyroll components [34–36].”