本文基于PCCS 色彩体系，对近五年中国7 个新能源汽车品牌的38 款车型车身色彩开展量化研究与可视化分析。 通过提取车身色彩RGB 值并转换为PCCS 色调，建立车身色彩数据库，并利用桑基图对“品牌—基础色系—PCCS 色调” 的关系进行可视化表达与分析。研究发现，无彩色系（黑白灰）仍是车身色彩的主体，蓝色、绿色和紫色正成为新能源汽车 车身色彩的流行色，差异化的车身色彩也是塑造品牌识别度的关键要素。色调量化结果与汽车品牌官方制定的色彩风格定义 高度契合，验证了PCCS 体系在解析色彩与品牌关联性方面的有效性。本研究为新能源汽车车身色彩设计提供了数据驱动的 量化分析方法，有助于更准确地把握色彩应用规律与视觉倾向，进而科学制定色彩设计决策。

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.