AI赋能整车研发场景的方法论研究  

Research on Methodology of AI Empowerment in Vehicle R&D Scenarios

作　　者：项娇 罗文发 XIANG Jiao;LUO Wenfa

机构地区：[1]智己汽车科技有限公司,上海201804

出　　处：《上海汽车》2025年第1期19-25,共7页Shanghai Auto

摘　　要：AI在各领域的应用起到显著效果,在AI赋能整车研发场景中,由于工程数据样本量少、工作流要求逻辑性强、达到可用性对准确率要求高、现有知识库需要多模态重构等问题,文章研究分析了AI赋能研发的趋势和价值,提出在开发工作流过程中,赋能研发的3种场景模型。通过研究脑智能、知识森林、生物分层结构模型,提出了适合研发场景的AI应用方法论。通过场景智能化金字塔模型,协同不同场景模型的相辅相成,平行共进,为AI赋能整车研发场景提供开发方法论和技术路径。AI has achieved remarkable effects in various fields.In the scenario of AI empow-ering R&D of vehicles,issues such as the limited sample size of engineering data,the strong logical requirements of workflows,and the high accuracy requirements for usability,along with the need for multimodal reconstruction of existing knowledge bases,have been analyzed.The trends and value of AI-empowered R&D are analyzed,and three scenario models are proposed for empowering R&D dur-ing the workflow process.By studying brain intelligence,knowledge forests,and biological hierarchi-cal structure models,a methodology for AI applications suitable for R&D scenarios is proposed.Through the scenario intelligence pyramid model,the complementary nature of different scenario mod-els is coordinated and progress in parallel,thus providing a development methodology and technical pathway for AI-empowered vehicle R&D scenarios.

关 键 词：方法论 场景模型 智能化金字塔 研发场景 AI应用 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]