Lithium-ion battery RUL prediction using ANN and comparison to alternative models

• Published in: 2022 IEEE North Karnataka Subsection Flagship International Conference (NKCon) pp. 1 - 6
• Main Authors: Attari, Samina Arif, Shah, Dhruv, Joshi, Aayushi, Sharma, Shreyansh, Phalle, Vikas M.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 20.11.2022
• Subjects: Artificial neural networks; critical point (RUL); Electric vehicles; Green products; Industries; Lithium-ion batteries; Lithium-ion battery (LIB); Maintenance engineering; Predictive models; regression; remaining usable life

For successful condition-based maintenance to in-crease reliability and lower total maintenance costs, accurate equipment remaining usable life forecast is essential. With the ever increasing demand of the Electric Vehicles in today's sce-nario It's crucial to have a predictive algorithm f...