Key performance analysis and degradation prediction of fuel cell vehicles based on big data
YANG Zi-rong
HAO Dong
YAO Zhan-hui
ZHANG Yan-yi
WANG Jia
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.
Keywords：fuel cell vehicleroad operating datakey performance indexhydrogen refueling characteristicsperfor-mance degradation and prediction
Publication Date：2025-08-30
Online Publishing Date：2025-10-10(First online date of this platform, not the publication date of the document)
Pages：9( 1606-1614 )