PINEAPPLE: Physics-informed neuro-evolution algorithm for prognostic parameter inference in lithium-ion battery electrodes

Key Points

• Prognostic parameters effectively inferred using a physics-informed neuro-evolution algorithm, leading to better battery management.
• Key evidence shows improved accuracy in parameter inference for lithium-ion batteries, enhancing performance prediction capabilities.
• Analysis applies a neuro-evolution algorithm informed by physical principles to improve forecasting precision in battery electrodes.
• This approach supports more effective lithium-ion battery management; further validation in different models is warranted.