摘 要
随着全球能源危机和环境污染问题日益严峻，新能源汽车作为可持续交通的重要组成部分，其充电设施的兼容性成为影响行业发展的关键因素。为解决当前充电设施在接口标准、通信协议及功率匹配等方面存在的兼容性问题，本研究旨在构建一套系统化的新能源汽车充电设施兼容性测试与评价方法。通过分析国内外相关标准和技术现状，结合实际应用场景，提出了基于多维度指标体系的兼容性评估框架，涵盖物理接口、电气性能、通信协议以及用户体验等多个方面。研究采用实验室测试与实地验证相结合的方式，设计了标准化的测试流程，并引入智能化数据分析手段以提高评估精度。实验结果表明，所提出的测试方法能够有效识别不同类型充电设施间的兼容性差异，显著提升了评估效率和准确性。此外，本研究创新性地将机器学习算法应用于兼容性预测，实现了对潜在问题的提前预警，为优化充电设施建设提供了重要参考。总体而言，该研究不仅填补了现有兼容性评估领域的技术空白，还为推动新能源汽车产业标准化发展做出了积极贡献。
关键词：新能源汽车；充电设施兼容性；多维度评估框架；智能化数据分析；机器学习预测
Abstract
As global energy crises and environmental pollution become increasingly severe, new energy vehicles (NEVs), as a crucial component of sustainable transportation, have gained significant attention. The compatibility of their charging infrastructure has emerged as a key factor influencing industry development. To address existing compatibility issues in interface standards, communication protocols, and power matching, this study aims to establish a systematic testing and evaluation method for the compatibility of NEV charging facilities. By analyzing relevant domestic and international standards and technical conditions, combined with practical application scenarios, a multidimensional indicator-based compatibility assessment fr amework is proposed, covering physical interfaces, electrical performance, communication protocols, and user experience. The research integrates laboratory testing with field validation, designing a standardized testing procedure while incorporating intelligent data analysis techniques to enhance evaluation accuracy. Experimental results demonstrate that the proposed testing method can effectively identify compatibility differences among various types of charging facilities, significantly improving evaluation efficiency and precision. Furthermore, this study innovatively applies machine learning algorithms to compatibility prediction, enabling early warnings of potential problems and providing critical references for optimizing charging infrastructure construction. Overall, this research not only fills technical gaps in the current compatibility assessment domain but also makes a positive contribution to promoting the standardized development of the NEV industry.
Keywords: New Energy Vehicle；Charging Facility Compatibility；Multi-Dimensional Evaluation fr amework；Intelligent Data Analysis；Machine Learning Prediction
目 录
摘 要 I
Abstract II
一、绪论 1
（一）新能源汽车充电设施兼容性研究背景与意义 1
（二）充电设施兼容性测试与评价的研究现状 1
（三）本文研究方法与技术路线 1
二、充电设施兼容性测试关键技术分析 2
（一）充电接口标准一致性测试方法 2
（二）通信协议兼容性测试方案设计 3
（三）不同车型适配性测试技术研究 3
三、充电设施兼容性评价体系构建 4
（一）兼容性评价指标体系的设计原则 4
（二）关键性能指标的量化方法研究 4
（三）基于多维度的综合评价模型构建 5
四、实验验证与案例分析 5
（一）测试实验平台搭建与实施流程 5
（二）实际案例中兼容性问题分析 6
（三）测试结果评估与改进建议 6
结 论 7
致 谢 9
参考文献 10
