Comparison of W-Lambert and F-Solve Methods in Micro Solar Cell Modeling

Recent advancements in photovoltaic technology and micro solar cells aim to extend smartphone battery life through renewable energy sources. However, integrating micro solar cells presents challenges, particularly with low output voltage. This study uses Matlab simulations to address this issue and compare the W-Lambert function's effectiveness with the f-solve method. The results indicate that the f-solve method, especially with the trust-region algorithm, outperforms the W-Lambert function in modeling the 1- V characteristics of micro-PV cells for smartphone charging applications. The f-solve method provides more accurate predictions with lower error rates and is more effective in determining series and shunt resistances. The method achieved an output voltage of 200 m V and a power output of 1.49 μ W, representing a 0.67% improvement over previous studies. These findings suggest that f-solve can enhance the efficiency and performance of micro-PV cell-based charging systems. Further research is recommended to optimize this model under various and complex environmental conditions. This study offers valuable insights into the selection of modeling techniques and supports the advancement of sustainable energy solutions for mobile devices.