主办:陕西省汽车工程学会
ISSN 1671-7988  CN 61-1394/TH
创刊:1976年

汽车实用技术 ›› 2026, Vol. 51 ›› Issue (6): 36-40.DOI: 10.16638/j.cnki.1671-7988.2026.006.007

• 设计研究 • 上一篇    

AIGC 技术在汽车造型研发中的应用

高文成,文志浩,卫瑞洁   

  1. 德创未来汽车科技有限公司
  • 发布日期:2026-03-24
  • 通讯作者: 高文成
  • 作者简介:高文成(1988-),男,工程师,研究方向为汽车造型创意设计

Application of AIGC Technology in Automotive Styling Development

GAO Wencheng, WEN Zhihao, WEI Ruijie   

  1. Dechuang Future Automotive Technology Company Limited
  • Published:2026-03-24
  • Contact: GAO Wencheng

摘要: 该研究旨在探讨人工智能在汽车制造与造型设计领域中的应用价值与发展趋势,分析 其在未来制造业中所承担的关键角色。通过对人工智能生成内容(AIGC)、算法模型及智能 分析系统的应用研究,文章总结了人工智能在产品研发阶段的多维度作用,包括创意生成、设 计验证与流程优化等方面。研究结果表明,人工智能(AI)技术能够通过对大数据与设计趋势的 深度学习,为汽车设计师提供高质量的创意思路与造型灵感,提升设计效率与成果创新性;降 低研发成本与周期。研究结论进一步说明,人工智能的深度融合将成为推动汽车产业技术革新 与设计品质提升的重要途径,对未来智能化、数字化设计体系的构建具有重要的战略意义。

关键词: 人工智能生成内容应用;汽车设计;设计创新

Abstract: This study aims to explore the application value and development trends of artificial intelligence in the fields of automobile manufacturing and styling design, analyzing the key role it will play in the future manufacturing industry. Through research on the application of artificial intelligence generated content (AIGC), algorithm models, and intelligent analysis systems, the article this paper summarizes the multi-dimensional roles of artificial intelligence in the product development stage, including creativity generation, design validation, and process optimization. The research results indicate that artificial intelligence (AI) technology, by leveraging deep learning from big data and design trends, can provide automotive designers with high-quality creative ideas and styling inspiration, enhancing design efficiency and innovation; and reducing R&D costs and cycles. The study further concludes that the deep integration of artificial intelligence will become an important pathway to drive technological innovation and improve design quality in the automotive industry, and it holds significant strategic importance for the construction of future intelligent and digitalized design systems.

Key words: applications of artificial intelligence generated content; automotive design; design innovation