汽车研发试制阶段过线问题多领域协同分析与控制方法研究

Research on Multi-Domain Collaborative Analysis and Control Methods for Crossing Line Problems in the Trial Production Stage of Automobile Research and Development

摘要

汽车研发试制阶段是新车型由设计向量产转化的关键环节，其质量与效率直接影响产品上市周期与竞争力。试制过线中常出现设计变更频繁、工艺不匹配、零部件一致性差及供应链响应滞后等问题，造成装配效率低、质量波动大。本文基于多领域协同理论，从设计、工艺、制造、质量和供应链五个维度构建问题分析框架，利用多源数据融合与数字孪生技术实现协同诊断与闭环控制。研究提出PLM与MES系统集成的协同控制平台，实现设计到生产的动态监控与问题溯源。结果表明，该方法可显著提升装配一次合格率与过线效率。

Abstract

The trial production stage of automotive research and development is a crucial link for the transformation of new vehicle models from design to mass production. The quality and efficiency of this stage directly affect the product launch cycle and competitiveness. During the trial production process, problems such as frequent design changes, process mismatch, poor consistency of components and lagging supply chain response often occur, resulting in low assembly efficiency and large quality fluctuations. Based on the multi-domain collaboration theory, this paper constructs a problem analysis framework from five dimensions: design, process, manufacturing, quality, and supply chain. It utilizes multi-source data fusion and digital twin technology to achieve collaborative diagnosis and closed-loop control. The research proposes a collaborative control platform integrating PLM and MES systems to achieve dynamic monitoring and problem traceability from design to production. The results show that this method can significantly improve the first-time pass rate of assembly and the efficiency of line passing.

关键词

汽车研发 / 试制过线 / 多领域协同 / 数字孪生 / 质量控制

Key words

Automobile R&D / Trial production has passed the production line / Multi-domain collaboration / Digital twin / Quality control

参考文献

[1] 李贝贝, 杨阳. 纯电动汽车样车试制过程探究[J]. 汽车与驾驶维修(维修版), 2025,(02):42-44.

[2] 郯国文. 整车产品开发项目样车试制的管理方法研究[J]. 时代汽车, 2022,(15):4-6.

[3] 张浩亮. 基于“大数据”的样车试制准备工作评价模型[J]. 时代汽车, 2019,(16):14-18.

[4] 杨兴, 罗益强. 汽车研发试制阶段激光技术和设备的应用[J]. 世界制造技术与装备市场, 2019,(05):45-50.

[5] 李曙光. 智能制造背景下汽车试制精益管理研究[D]. 对外经济贸易大学, 2019.