Robust battery fuel gauge algorithm development, part 0: Normalized OCV modeling approach
Document Type
Conference Proceeding
Publication Date
1-20-2014
Publication Title
3rd International Conference on Renewable Energy Research and Applications, ICRERA 2014
First Page
116
Keywords
battery fuel gauge (BFG), battery management system (BMS), Li-ion battery, open circuit voltage (OCV), state of charge (SOC)
Last Page
121
Abstract
The open circuit voltage (OCV) characterization of Li-ion batteries as it applies to battery fuel gauging (BFG) in portable applications is considered in this paper. Accurate knowledge of the nonlinear relationship between the OCV and the state of charge (SOC) is required for adaptive SOC tracking during battery usage. BFG in portable applications requires this OCV-SOC characterization to be defined with a minimum number of parameters. With the help of OCV characterization data collected from 34 battery cells each at 16 different temperatures ranging from -25°C to 50°C, we present a novel normalized OCV modeling approach that dramatically reduces the number of OCV-SOC parameters and as a result simplifies and generalizes the BFG across temperatures and aging.
DOI
10.1109/ICRERA.2014.7016541
ISBN
9781479937950
Recommended Citation
Pattipati, B.; Balasingam, B.; Avvari, G. V.; Pattipati, K.; and Bar-Shalom, Y.. (2014). Robust battery fuel gauge algorithm development, part 0: Normalized OCV modeling approach. 3rd International Conference on Renewable Energy Research and Applications, ICRERA 2014, 116-121.
https://scholar.uwindsor.ca/computersciencepub/154