The Application Life Prediction of VRLA Battery Based on Big Data
This paper designs a model to predict battery life using big data technology. The battery performance parameters were collected, analyzed and processed by big data technology. The data analysis model has good practicability to predict the life of lead-acid batteries in different application environments, and the predicted value can maintain good consistency with the measured value.
Authors
- Juyong Cui
- Nan Wang (ORCID: https://orcid.org/0000-0003-1285-7530)
- Shuang Li (ORCID: https://orcid.org/0000-0002-5590-0730)
- Yang He (ORCID: https://orcid.org/0009-0008-7463-722X)
- Rui Bao (ORCID: https://orcid.org/0009-0007-7876-8115)
- Haitao Bi
Institutions
- Shanghai Electric (China) (CN)
Publication Details
- Published
- 2024-12-13
- DOI
- https://doi.org/10.1109/sgei63936.2024.10914241
- Primary Topic
- Advanced Battery Technologies Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00