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 (8): 29-36.DOI: 10.16638/j.cnki.1671-7988.2025.008.006

• Intelligent Connected Vehicle • Previous Articles    

Research and Application of Key Technologies of Large Models in Intelligent Connected Vehicles

ZHAO Xingyang1,2, HUANG Ailin1   

  1. 1.School of Control and Computer Engineering, North China Electric Power University; 2.Shenzhen Hangsheng Electronics Company Limited
  • Published:2025-04-25
  • Contact: ZHAO Xingyang

大模型在智能网联汽车上的关键技术 研究与应用

赵星洋 1,2,黄爱林 1   

  1. 1.华北电力大学 控制与计算机工程学院; 2.深圳市航盛电子股份有限公司
  • 通讯作者: 赵星洋
  • 作者简介:赵星洋(1996-),男,硕士研究生,研究方向为大模型及云边端一体化、跨域融合 @163.com

Abstract: With the continuous deepening of the access and penetration of intelligent connected vehicles, promoting industrial development and application implementation through large-model technology has gradually become the consensus within the industry. This article conducts a systematic study on the technical architectures, algorithms, and principles of large language models, visual-language large models, and multimodal large models, and conducts an in-depth analysis of their specific applications in various scenarios in the intelligent driving domain, cockpit domain, and networking domain. Through the study of the models of mainstream automobile enterprises and technical cases in the current market, it discusses in detail the actual application status of large models in multi-domain intelligence and reveals the key role of large models in promoting the technological progress of intelligent connected vehicles. Finally, it analyzes the challenges currently faced by large-model technology and puts forward targeted suggestions for future development. This article has important reference value for the technical research of large models in the field of intelligent connected vehicles.

Key words: large models; intelligent driving; intelligent cockpit; intelligent networking; algorithm architecture; market penetration

摘要: 随着智能网联汽车的准入和渗透的不断加深,通过大模型技术推动产业发展和应用落 地逐渐成为了业内共识。文章对大语言模型、视觉语言大模型、多模态大模型的技术架构、 算法和原理进行了系统研究,并对其在智驾域、座舱域、网联域中各场景的具体应用进行了 深入分析。通过对当前市场主流车企车型及技术案例的研究,详细探讨了大模型在多域智能 上的实际应用现状,揭示了大模型在推动智能网联汽车技术进步中的关键作用。最后,对目 前大模型技术所面临的挑战进行了分析,并对今后的发展提出了有针对性的建议。文章对大 模型在智能网联汽车领域的技术研究具有重要参考价值。

关键词: 大模型;智能驾驶;智能座舱;智能网联;算法架构;市场渗透