Online state-of-health estimation for lithium-ion batteries using constant-voltage charging current analysis

By Jufeng Yang, Bing Xia, Wenxin Huang, Yuhong Fu, Chunting Chris Mi. 2018

204 citations recorded by the source corpus.

Subfields: Automotive Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/7923ea21752f66c4c1b2e9d4a7dbca1a4a751b95

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. Xianke Lin
2. Simona Onori
3. Xiaosong Hu
4. Yunhong Che

In Electrical and Electronic Engineering

1. Xianke Lin
2. Simona Onori
3. Xiaosong Hu
4. Yunhong Che

Citations in the corpus

• Battery Health Prediction Using Fusion-Based Feature Selection and Machine Learning (2020, background): “The capacity loss will shorten the charge and discharge process, thereby reducing the time for charging and discharging [21].”