A capacity model based on charging process for state of health estimation of lithium ion batteries

By Xue Li, Jiuchun Jiang, Le Yi Wang, Dafen Chen, Yanru Zhang, Caiping Zhang. 2016

172 citations recorded by the source corpus.

Subfields: Automotive Engineering, Electrical and Electronic Engineering, Safety, Risk, Reliability and Quality

View Paper: https://www.semanticscholar.org/paper/f1d762f3cd924b219c8abaae5a4d455f7de27f0b

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. Weihan Li
2. Zhongbao Wei
3. Dirk Uwe Sauer
4. Paul R. Shearing
5. Lena Spitthoff
6. Odne S. Burheim

In Electrical and Electronic Engineering

1. Weihan Li
2. Zhongbao Wei
3. Josep Pou
4. Dirk Uwe Sauer
5. Paul R. Shearing
6. Lena Spitthoff
7. Odne S. Burheim

Citations in the corpus

• Temperature, Ageing and Thermal Management of Lithium-Ion Batteries (2021, background): “Abbreviations The following abbreviations are used in this manuscript: BOL Beginning of life BTMS Battery thermal management system di Thickness of component i DEC Diethyl carbonate DMC Dimethyl carbonate DOD Depth of discharge ∆S Entropy change EC Ethylene carbonate EIS Electrochemical impedance sp”
• State-of-Health Estimation of Lithium-Ion Batteries by Fusing an Open Circuit Voltage Model and Incremental Capacity Analysis (2022, methodology): “The terminal voltage is mainly determined by the OCV and internal resistance [40].”