A study of data-driven fault diagnosis and early warning systems for power batteries in new energy vehicles
This study addresses the prevalent issues with new energy vehicle batteries, including failure and other complications. It focuses on lithium-ion batteries in pure electric vehicles and proposes a diagnostic approach based on SDO and NARX. The study also examines the methodology employed in fault judgement and early warning. The findings offer novel insights into the diagnosis of faults in new energy vehicles and provide technical guidance for ensuring the safe operation of these vehicles.
Authors
- Xinqiang Ma (ORCID: https://orcid.org/0000-0001-7278-6258)
- Meng Ling Yan (ORCID: https://orcid.org/0000-0002-9538-9121)
- Qiang Li (ORCID: https://orcid.org/0000-0002-7929-1538)
Institutions
- Chongqing University (CN)
- Chongqing University of Arts and Sciences (CN)
Publication Details
- Published
- 2024-10-18
- DOI
- https://doi.org/10.1145/3711129.3711342
- Primary Topic
- Advanced Battery Technologies Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00