燃料电池汽车使用工况耐久性测试数据集

背景是燃料电池汽车的耐久性与使用工况密切相关，明确典型使用工况对提升其性能很关键。意义在于为燃料电池汽车的研发、耐久性测试及性能改进提供可靠的工况数据支持。该数据集主要面向燃料电池汽车使用工况研究及耐久性优化需求建设。其依托实际道路采集的数据，在专业团队的操作下产生，资源来源为北京、潍坊、郑州等典型燃料电池汽车示范城市的实际道路。产生方法为在公交车、牵引车、物流车、乘用车等车型上进行数据采集，采集车速和时间信息，经 MATLAB 清洗预处理后，运用工况开发方法论计算得到不同类型车的典型使用工况。主要内容包含上述车型的实际道路行驶原始数据（时间、GPS 车速）及处理后得到的典型使用工况。数据体量因涵盖多车型、多地点、长时间采集而较为可观。测试过程遵循规范，确保数据真实有效。数据库对数据分类存储管理，便于查询分析。The durability of Fuel Cell Vehicles (FCVs) is closely correlated with their operating conditions, and clarifying typical driving cycles is critical to enhancing their performance. This dataset was developed to meet the research demands of FCV operating condition studies and durability optimization, providing reliable operating condition data support for FCV R&D, durability testing and performance improvement. The dataset is based on real-world road-collected data generated by professional teams, with data sources originating from real roads in typical FCV demonstration cities such as Beijing, Weifang and Zhengzhou. Data was collected from multiple vehicle types including buses, tractors, logistics vehicles and passenger cars, with speed and time information recorded. After cleaning and preprocessing using MATLAB, typical driving cycles for different vehicle categories were calculated via specialized driving cycle development methodologies. The core content of the dataset includes the raw real-world driving data (time, GPS speed) from the aforementioned vehicle types, as well as the post-processed typical driving cycles. The dataset has a considerable scale due to covering multiple vehicle types, multiple locations and long-term data collection. The data collection process follows standardized protocols to ensure the authenticity and validity of the data. The database adopts categorized storage and management of data to facilitate query and analysis.

搜集汇总

背景与挑战

背景概述

该数据集旨在为燃料电池汽车的研发、耐久性测试及性能改进提供可靠的工况数据支持。它基于北京、潍坊、郑州等示范城市实际道路采集的公交车、牵引车、物流车、乘用车等多车型行驶数据，经清洗和计算处理后，包含了原始行驶数据及提取出的典型使用工况。