This paper introduces a Helical Approaching Algorithm designed for precise and efficient calibration of automotive ambient lighting LEDs. By integrating momentum dynamic decay and gradient smoothing mechanisms, the proposed method achieves luminance errors below 5 cd/m2 and chromaticity coordinate errors under 0.001, with an average of only 2.8 iteration cycles across 50 product units. Comparative experiments and large-scale industrial validation confirm that this approach significantly outperforms conventional calibration techniques in terms of accuracy, convergence speed, and robustness. The algorithm’s scalability and reliability make it highly applicable to modern automotive manufacturing environments, ensuring consistent lighting quality and enhanced production efficiency.