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 ›› 2025, Vol. 50 ›› Issue (4): 41-46.DOI: 10.16638/j.cnki.1671-7988.2025.004.007

• 智能网联汽车 • 上一篇    

基于 FAHP 的整车智能网联评价体系研究

李殷   

  1. 广汽本田汽车有限公司
  • 发布日期:2025-02-25
  • 通讯作者: 李殷
  • 作者简介:李殷(1990-),男,工程师,研究方向为汽车底盘、智能驾驶,E-mail:liyin@ghac.cn

Research on the Evaluation System of Vehicle Intelligent Networking Based on FAHP

LI Yin   

  1. GAC Honda Automobile Company Limited
  • Published:2025-02-25
  • Contact: LI Yin

摘要: 文章分析了智能网联评价技术研究现状,以及行业内智能网联系统评价的不足,提出 了构建智能网联系统指标体系的总体目标。从安全性能、用户体验感受、智能化水平和基本 性能四个方面构建智能网联评价指标体系,采用专家打分评价法明确指标权重,应用多层次 模糊方法建立了用于整车智能网联系统模糊评价的阶层化模型。综合考虑影响整车智能网联 系统的各个方面,对模型做出综合的决策,从而获得系统全面的主观评价结果。采用本次构 建的评价模型对 A 车型及竞品车型开展智能网联系统评价对比,评价结果显示,A 车型的智 能网联评价为“高”水平,与实车的主观评价感受相一致。解决了智能网联系统评价的不足, 建立了相对完整的评价体系、方法和流程。

关键词: 智能网联系统;评价指标;模糊层次分析法

Abstract: This paper analyzes the research status of intelligent network evaluation technology, and the shortcomings of intelligent network system evaluation in the industry, and puts forward the overall goal of building intelligent network system index system. The intelligent network evaluation index system is constructed from four aspects: safety performance, user experience, intelligence level and basic performance. The index weight is defined by expert scoring and evaluation method. A hierarchical model for fuzzy evaluation of vehicle intelligent network system is established by applying multi-level fuzzy method. Comprehensive consideration of all aspects affecting the vehicle intelligent network system, to make a comprehensive decision on the model, so as to obtain the comprehensive subjective evaluation results of the system. The evaluation model constructed in this paper is used to carry out intelligent network connection system evaluation and comparison between model A and competing models. The evaluation results show that the intelligent network connection evaluation of model A is at a "high" level, which is consistent with the subjective evaluation feelings of real cars. The shortcomings of the evaluation of intelligent network system are solved, and a relatively complete evaluation system, method and process are established.

Key words: intelligent network system; evaluation index; fuzzy analytic hierarchy process