Hybrid Observer Design for Online Battery State-of-Charge Estimation

被引：0
|
作者：
LeSage, Jonathan R. [1 ]
Longoria, Raul G. [1 ]
机构：
[1] Univ Texas Austin, Dept Mech Engn, Austin, TX 78712 USA
来源：
2013 AMERICAN CONTROL CONFERENCE (ACC) | 2013年
关键词：
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper presents a method for estimating battery state-of-charge based on linear hybrid estimation theory. Contrasting with existing battery estimation techniques, hybrid linear models permit systematic introduction of additional dynamics online, which can capture cell aging or temperature effects. Piecewise regression with free-knots was employed to segment the nonlinear model into linear regions, enabling a decoupled hybrid observer scheme to independently identify the continuous and discrete hybrid states. Simulation and experimental studies demonstrate the observer efficacy.
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页码：1994 / 1999
页数：6
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