Optimal Configuration of High-Efficiency Segmented Linear LED Driver With Genetic Algorithm

This paper presents a genetic algorithm (GA)-based optimal configuration for multisegmented linear LED driver to achieve a maximized system efficiency. Based on the theoretical analysis of the turn-ON states, the system efficiency is derived and found to be highly dependent on the segment voltage and reference current parameters. GA with a fitness function of the system efficiency is introduced in detail for the case of a four-segmented LED voltage configuration. With an input voltage of 220 V (rms) and input current of 8x, 10x, 11x, and 12x reference for the four turn-ON states, the four optimal segment voltages are calculated to be 160, 80, 39, and 22 V. Saber simulation results show that the GA-based configuration can give a higher efficiency (96.5%) than other typical configurations (<88.6%). Experiments are also implemented, and the results are consistent with the simulations, showing that a high system efficiency of 95.1% with a power factor of 0.98 can be achieved with the GA-based configuration.