Deep learning algorithm comparison for creating model for battery life

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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Bibliographische Detailangaben
Hauptverfasser: Somavanshi, Tanishqa, Dhanorkar, Devanshu, Shinde, Aakash, Pawar, Pranav
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Algorithms
Electric vehicles
Fault detection
Lithium-ion batteries
Machine learning
Management systems
Power management
Smart grid
State estimation
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Beschreibung
Zusammenfassung: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.
ISSN:0094-243X
1551-7616
DOI:10.1063/5.0227578