Application and biomechanical analysis of bio inspired strategies in the recycling of lithium-ion cathode materials
Abstract
This study explores bio-inspired strategies for recycling cathode materials in lithium batteries by integrating biomechanical models with optimization algorithms to enhance recycling efficiency. We developed a biomechanical model to examine the recovery process of metal ions, analyzing their dynamic behavior and reaction rates to assess the potential of bio-inspired algorithms for model optimization. Based on this model, we designed an optimization algorithm to boost metal ion recovery by varying experimental conditions such as reaction temperature, solvent concentration, pH, and reaction time. Experimental results indicate that reaction temperature, solvent concentration, adsorption and desorption rates, and pH significantly influence recovery efficiency. The optimal conditions identified were 55 ℃, a solvent concentration of 0.7 mol/L, and a pH of 5.5, yielding a recovery efficiency of 80.3%. Additionally, extending the reaction time positively correlated with recovery rates, achieving a maximum of 86.4% at 50 min. By combining biomechanical analysis with algorithm optimization, this research enhances our understanding of material recycling mechanisms and provides a theoretical foundation and technical support for future industrial recycling processes. These findings offer valuable insights for optimizing lithium battery recycling technologies and improving resource utilization efficiency.
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