Optimized-architecture Long Short-Term Memory and Particle Swarm Optimization integration for lithium-ion batteries Remaining Useful Life prediction

Key Points

• Remaining useful life prediction for lithium-ion batteries improved using optimized architectures.
• The predictive model shows a significant accuracy increase of up to 20% compared to traditional methods.
• Analysis of data through integrated long short-term memory and particle swarm optimization methods enhances performance.
• This approach could lead to better battery management, although further real-world validation may be necessary.