首页|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

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

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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.
Driving Range Estimation for Electric Vehicles Based on Battery SOC and Driving Cycle Identification
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.

electric vehicledriving rangeurban trafficfuzzy C-means clustering

连静、郑宁安、周雅夫、李琳辉、麻笑艺、王翰涛

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大连理工大学工业装备结构分析国家重点实验室运载工程与力学学部汽车工程学院,大连116024

纯电动汽车 续驶里程 城市交通 模糊C聚类分析

国家自然科学基金国家自然科学基金中国博士后科学基金中国博士后科学基金中央高校基本科研业务费专项基金

61203171614730572012M5107992013T60278DUT15LK13

2016

科学技术与工程
中国技术经济学会

科学技术与工程

CSTPCD北大核心
影响因子:0.338
ISSN:1671-1815
年,卷(期):2016.16(13)
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