控制理论与应用2025，Vol.42Issue(8)：1606-1614,9.DOI:10.7641/CTA.2024.40051
基于大数据的燃料电池汽车关键性能分析与衰减预测
Key performance analysis and degradation prediction of fuel cell vehicles based on big data
摘要
Abstract
Conducting the statistical characteristics analysis and performance degradation prediction of fuel cell vehicles(FCV)under complex road conditions is of great significance for product improvement.Based on the real operating data of 40 heavy-duty trucks,the paper firstly proposes the pre-processing,data analysis,and post-processing procedure.Subsequently,the FCV key performance index system were established,covering the vehicle travel behaviors,hydrogen refueling characteristics,and fuel cell system performances.Then,the engine performance degradation and prediction methods based on the FCV travelling data was established,satisfying the performance analysis of different time span,motorcade scale,and multi-objects of vehicle,engine as well as auxiliary systems.It was found that the total proportion of the single trip distance divided by pure hydrogen driving mileage of no more than 50％accounted for over 95％.The most frequent hydrogenation behavior happened in the section of 180～220 km hydrogen refueling interval distance and around 24 h hydrogen refueling interval time.关键词
燃料电池汽车/道路行驶数据/关键特征体系/加氢特性/性能衰减预测Key words
fuel cell vehicle/road operating data/key performance index/hydrogen refueling characteristics/perfor-mance degradation and prediction引用本文复制引用
杨子荣,郝冬,姚占辉,张妍懿,王佳..基于大数据的燃料电池汽车关键性能分析与衰减预测[J].控制理论与应用,2025,42(8):1606-1614,9.基金项目
国家重点研发计划项目(2021YFB2501500)资助.Supported by the National Key Research and Development Program of China(2021YFB2501500). （2021YFB2501500）
