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混合动力电动汽车辅助功率单元模型辨识

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孙逢春 沈同全 程夕明 牟炳恒

北京理工大学机械与车辆工程学院,北京100081

北京理工大学学报
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国际标准刊号:ISSN 1001-0645
国内统一刊号:CN 11-2596

摘  要:

为提高模型辨识精度,基于阶跃响应,推导了二阶带零点/死区(SOPZ/DT)连续模型的直接辨识算法.以辅助功率单元(APU)微缩系统阶跃响应数据为依据,利用所推算法进行模型辨识.对所得模型进行仿真并与试验值相比较,结果证明,所得模型预测精度较高,可以作为控制模型得以应用.[著者文摘]

Journal of Beijing Institute of Technology(Natural Science Edition)

栏目信息:

机械工程

分 类 号:

U469.72

文献标识码:

A

文章编号:

1001-0645(2007)09-0787-05

相关文章:

参考文献(6篇) 耦合文献(6篇)  主题相关

[参考文献]

Identification for the Auxiliary Power Unit in a Hybrid Electric Vehicle

SUN Feng-chun, SHEN Tong-quan, CHENG Xi-ming, MOU Bing-heng (School of Mechanical and Vehicular Engineering, Beijing Institute of Technology, Beijing 100081, China)

Abstract:

In order to improve the precision of model identification, direct identification algorithm for a second-order plus zeros and dead-time (SOPZ/DT) continuous system is deduced based on the step response data. According to the step response data of the mini auxiliary power unit (APU), system model was identified based on the proposed algorithm. The simulation has been done based on the identified model and the simulation data compared with the test data. The results proved that the identified model has high precision and can be treated as the control model.[著者文摘]

Key words:

hybrid electric vehicle; auxiliary power unit (APU) ; direct identification; transfer function

收稿日期: 2006-10-09

作者简介:

孙逢春(1958-),男,教授,博士生导师,E—mail:sunfch@bit.edu.cn

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