Identification of Li-Ion Battery Parameters Using Neural Networks
There is an increase in the demand for Li-ion batteries particularly in Electric Vehicles (EVs). Identifying the Li-ion battery parameters will help in estimating the state of charge (SOC) accurately. In this paper, Li-ion battery is represented with one RC equivalent circuit. The charging/discharging behaviour of the generic battery in MATLAB-SIMULINK is used to get the relation between open circuit voltage and SOC. The circuit parameters are determined using neural network. The performance of the identified parameters is verified with the generic battery in MATLAB.
Authors
- Pratik Singh (ORCID: https://orcid.org/0000-0001-6830-2177)
- Vivek Agarwal (ORCID: https://orcid.org/0000-0002-7287-3455)
- R. Jeyasenthil (ORCID: https://orcid.org/0000-0003-4418-0739)
- Tarakanath Kobaku (ORCID: https://orcid.org/0000-0002-4071-1136)
- Venkata Ramana Kasi (ORCID: https://orcid.org/0000-0003-4401-6437)
- Chandrasekhar Azad Narlapati
Institutions
- National Institute of Technology Warangal (IN)
- Indian Institute of Technology Patna (IN)
- Indian Institute of Technology Bombay (IN)
- Vellore Institute of Technology University (IN)
Publication Details
- Published
- 2024-12-18
- DOI
- https://doi.org/10.1109/pedes61459.2024.10961182
- Primary Topic
- Advanced Battery Technologies Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00