摘要
为消除驾驶员因电动汽车续驶里程估计不准确,产生的"里程焦虑"。提出了一种基于电池荷电状态和行驶工况辨识的电动汽车续驶里程估算模型。以大连市某电动汽车运行数据为研究对象,首先分析了SOC与行驶里程的相关性,将工况数据划分为432个工况片段。然后利用主成分分析、模糊C聚类分析对工况片段进行分类、辨识,并建立了续驶里程的估算模型,进行续驶里程的估算。最后利用实车数据,在Matlab中进行仿真验证,结果表明此方法是可行的,所建立的模型具有较高的准确度。
To reduce driver's range anxiety,caused by imprecise range estimation. An estimation method was proposed,which based on battery SOC and driving cycle identification. All the data is collecting from electric vehicles running in Dalian. Firstly after calculate the correlation between SOC and driving range,the data is divided into 432 segments,then segments is clustered and identified by principal Component analysis method and fuzzy cluster analysis method,and an estimation model is established. Finally an experimental using practical data is test in matlab,result confirm that the estimation method is feasible,and the estimation model has decent accuracy.
引文
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