Lithium-ion Open Circuit Voltage (OCV) curve modelling and its ageing adjustment
By L. Lavigne, Jocelyn Sabatier, J. M. Francisco, F. Guillemard, A. Noury. 2016
138 citations recorded by the source corpus.
Subfields: Automotive Engineering, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/b7e3d883a378ec29c277a8f00c585b9bc73ceef0
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
- Nicolás Muñoz-Galeano
- Henry O. Sarmiento-Maldonado
- Remus Teodorescu
- Guangzhao Luo
- Juan Pablo Rivera-Barrera
- Mattia Ricco
- Daniel-Ioan Stroe
- Maciej Swierczynski
In Electrical and Electronic Engineering
- Nicolás Muñoz-Galeano
- Henry O. Sarmiento-Maldonado
- Remus Teodorescu
- Guangzhao Luo
- Juan Pablo Rivera-Barrera
- Mattia Ricco
- Daniel-Ioan Stroe
- Maciej Swierczynski
Citations in the corpus
- SoC Estimation for Lithium-ion Batteries: Review and Future Challenges (2017, methodology): “SoC estimation methods commonly impose a characterization of the OCV curve (mainly through a polynomial or a look-up table), as they use either a direct OCV curve inversion method (if the application permits cell steady state voltage measurement), or a cell model-based methods [42].”
- An Overview and Comparison of Online Implementable SOC Estimation Methods for Lithium-Ion Battery (2018, background): “Furthermore, the relationship between OCV and SOC has proven to change with temperature and age [32]–[35].”
- A Study on the Open Circuit Voltage and State of Charge Characterization of High Capacity Lithium-Ion Battery Under Different Temperature (2018, background): “[10] proposed through some hypotheses and an appropriate definition of the cell state of charge, and proposed a two stage lithium-ion OCV curve model to estimate battery SOC.”