LQR-Based Power Train Control Method Design for Fuel Cell Hybrid Vehicle

被引：5

作者：

Yun Haitao ^{[1
]}

Zhao Yulan ^{[1
]}

Liu Zunnian ^{[1
]}

Hao Kui ^{[1
]}

机构：

[1] Qingdao Technol Univ, Sch Automobile & Traff, Qingdao 266033, Peoples R China

来源：

MATHEMATICAL PROBLEMS IN ENGINEERING | 2013年 / 2013卷

基金：

中国国家自然科学基金;

关键词：

D O I：

10.1155/2013/968203

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

Based on the mathematical model of fuel cell hybrid vehicle (FCHV) proposed in our previous study, a multistate feedback control strategy of the hybrid power train is designed based on the linear quadratic regulator (LQR) algorithm. A Kalman Filter (KF) observer is introduced to estimate state of charge (SOC) of the battery firstly, and then a linear quadratic regulator is constructed to compute the state feedback gain matrix of the closed-loop control system. At last, simulation and actual test are utilized to demonstrate this new approach.

引用

页数：7

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