Journal
INTERNATIONAL JOURNAL OF ELECTROCHEMICAL SCIENCE
Volume 14, Issue 5, Pages 4124-4143Publisher
ESG
DOI: 10.20964/2019.05.05
Keywords
Lithium-ion battery; Model simplification; Parameter identification; Temperature and current uncertainties
Categories
Funding
- Special Funds for the Transformation of Scientific and Technological Achievements in Jiangsu Province [BA2016162]
- National Science and Technology Foundation of China [2015BAG07B00]
- NSFC [21501071]
- Six Talents Peak Project of Jiangsu Province [2016-XNYQC-003, 2015-XNYQC-008]
- Foundation for Advanced Talents of Jiangsu University [13JDG071, 12JDG054]
Ask authors/readers for more resources
Battery modelling and state estimation are crucial for lithium-ion batteries applied in electrical vehicles (EVs). In this work, a simplified electrode-average electrochemical model of a lithium-ion battery that adopts a polynomial approximation and a three-variable method to reduce the order of the solid and electrolyte phase diffusion equations is designed. A novel parameter identification method considering temperature and current is also proposed to reduce the parameter deviation caused by different working conditions. The model parameters are identified by the genetic algorithm (GA) offline at different temperatures and currents to create lookup tables for online estimation. Furthermore, 3.5 Ah NCM 18650-type cells are chosen to validate the simplified model and the proposed estimation method. The results indicate that the proposed scheme is accurate, simple and flexible for current and temperature changes under different operation conditions.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available