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

Automobile Applied Technology ›› 2025, Vol. 50 ›› Issue (23): 138-144.DOI: 10.16638/j.cnki.1671-7988.2025.023.025

• Standards·Regulations·Management • Previous Articles    

AIGC-Driven Digital Process Reconstruction and Methodological Practice in Automotive Styling Design

LI Haiou   

  1. Shanghai R&D Center, Weichai Power Company Limited
  • Published:2025-12-08
  • Contact: LI Haiou

AIGC 驱动下的汽车造型设计数字化流程 重构与方法实践

李海鸥   

  1. 潍柴动力股份有限公司 上海研发中心
  • 通讯作者: 李海鸥
  • 作者简介:李海鸥(1980-),男,工程师,研究方向为车身规划和总布置

Abstract: With the rapid development of artificial intelligence technology, the field of automotive styling design is undergoing a profound digital transformation. This article systematically explores the application scenarios, key technologies and future trends of artificial intelligence technology in the digital-assisted design of the entire automotive styling process. Research shows that artificial intelligence generated content (AIGC) can significantly enhance the efficiency and innovation of automotive styling design, achieving full-process intelligent empowerment from concept creation to engineering implementation. Meanwhile, this article also analyzes the current challenges and looks forward to the future technological development direction, providing theoretical references and practical guidance for the intelligent transformation of the automotive design field.

Key words: artificial intelligence generated content; automotive styling; digital design; full-process optimization

摘要: 随着人工智能技术的迅猛发展,汽车造型设计领域正经历一场深刻的数字化变革。文 章系统探讨了人工智能技术在汽车造型全流程数字化辅助设计中的应用场景、关键技术与未 来趋势。研究表明,生成式人工智能(AIGC)能够显著提升汽车造型设计的效率与创新性, 实现从概念创意到工程落地的全流程智能化赋能。同时,文章也分析了当前面临的挑战,并 展望了未来技术发展方向,为汽车设计领域的智能化转型提供理论参考与实践指导。

关键词: 生成式人工智能;汽车造型;数字化设计;全流程优化