Using AI to Discover Battery Anti-Aging and Life-Extending Charging Patterns Based on Dynamic Pulse Modulation

Lithium-ion batteries in electric vehicles (EVs) degrade faster with high charging currents, reducing performance, safety, and lifespan. This leads to frequent replacements, increasing costs and environmental impact due to rare material dependence. Pulse charging, which alternates charge bursts with rest periods, slows aging, but this project explores whether battery degradation can be halted entirely. Using AI-optimized dynamic pulse modulation, this research introduces an anti-aging protocol that intermittently reverses charge current to improve lithium-ion (Li⁺) redistribution and anode relaxation. This breakthrough could extend battery life while maintaining fast charging, revolutionizing chargers for EVs and consumer electronics.