Deep learning algorithm comparison for creating model for battery life
Lithium-ion battery packs find extensive use in numerous high-power applications, including electric vehicles (EVs) and smart grids, necessitating the implementation of a battery management system (BMS). The integration of Battery Management Systems (BMS) entails the harmonization of both software a...
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| creator | Somavanshi, Tanishqa Dhanorkar, Devanshu Shinde, Aakash Pawar, Pranav |
| description | Lithium-ion battery packs find extensive use in numerous high-power applications, including electric vehicles (EVs) and smart grids, necessitating the implementation of a battery management system (BMS). The integration of Battery Management Systems (BMS) entails the harmonization of both software and hardware elements, which collectively manage tasks like battery state estimation, fault detection, monitoring, and control. |
| doi_str_mv | 10.1063/5.0227578 |
| format | Conference Proceeding |
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| fulltext | fulltext |
| identifier | ISSN: 0094-243X |
| ispartof | AIP conference proceedings, 2024, Vol.3156 (1) |
| issn | 0094-243X 1551-7616 |
| language | eng |
| recordid | cdi_scitation_primary_10_1063_5_0227578 |
| source | AIP Journals Complete |
| subjects | Algorithms Electric vehicles Fault detection Lithium-ion batteries Machine learning Management systems Power management Smart grid State estimation |
| title | Deep learning algorithm comparison for creating model for battery life |
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