Principal component analysis based on drive cycles for hybrid electric vehicle

Jianfu Fu, Wenzhong Gao, Liwei Song
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引用次数: 6

Abstract

This paper presents the method of principal component analysis (PCA) to study the characteristics of different drive cycles. The vehicular performance of hybrid electric bus is simulated and then the relationship between different hybridization factors and vehicular fuel economy and dynamic performance is analyzed. The simulation results of fuel economy over different cycles have been obtained in ADVISOR. Using principal component analysis, it can be concluded that three most important principal components can be used as inputs to design an intelligent vehicular control strategy.
基于驱动循环的混合动力汽车主成分分析
本文提出了主成分分析(PCA)方法来研究不同驱动周期的特性。对混合动力客车的整车性能进行了仿真,分析了不同混合动力因素与整车燃油经济性和动力性能的关系。在ADVISOR中获得了不同循环工况下的燃油经济性仿真结果。通过主成分分析,得出三个最重要的主成分可以作为智能车辆控制策略设计的输入。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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