Cycle life testing and modeling of graphite/LiCoO 2 cells under different state of charge ranges

By Saurabh Saxena, Christopher Hendricks, Michael G. Pecht. 2016

186 citations recorded by the source corpus.

Subfields: Automotive Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/e70f271ac5979b6c39b10f20e499f4a7d05a4eda

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. Jingwen Wei
2. Zonghai Chen
3. Guangzhong Dong
4. Guangcai Zhao
5. Yandan Tan
6. Kailong Liu
7. Widanalage Dhammika Widanage

In Electrical and Electronic Engineering

1. Jingwen Wei
2. Zonghai Chen
3. Guangzhong Dong
4. Kailong Liu
5. Guangcai Zhao
6. Yandan Tan
7. Widanalage Dhammika Widanage

Citations in the corpus

• Remaining Useful Life Prediction and State of Health Diagnosis for Lithium-Ion Batteries Using Particle Filter and Support Vector Regression (2018, background): “[17] quantified the effect of partial charge–discharge cycling on graphite/LiCoO2 battery capacity loss by means of cycling tests under different SOC ranges and discharge currents.”