This paper adopts the Practical Color Coordinate System (PCCS) to perform quantitative research and visual analysis on the autobody colors of thirty-eight models from seven domestic New Energy Vehicle (NEV) brands over the past five years. An autobody color database was established by extracting RGB values of autobody colors and converting them into PCCS tone parameters. Sankey diagrams were utilized to visualize and analyze the relational mechanisms among "brand, base color system, and PCCS tone." The research findings demonstrate that achromatic color system (black, white, and grey) maintain their dominant position in NEV autobody color selection, while blue, green, and purple have gradually emerged as prevailing colors among NEV. Furthermore, differentiated autobody color strategies play a pivotal role in constructing and enhancing brand recognition. Notably, the quantified tone results exhibit a high degree of consistency with the official color style definitions formulated by the participating automotive brands, thereby verifying the validity and applicability of the PCCS in analyzing color-brand correlation. This study provides a data-driven quantitative analysis framework for NEV autobody color design, which facilitates the accurate grasp of color application patterns and market visual preferences, and further supports efficient and scientific color design decisions in the NEV industry.