Unknown Input Observer for Battery Open Circuit Voltage Estimation: an LMI Approach
Penulis/Author
BOBBY RIAN DEWANGGA (1); Dr. Ir. Samiadji Herdjunanto, M.Sc. (2); Dr.Eng. Ir. Adha Imam Cahyadi, S.T., M.Eng., IPM. (3)
Tanggal/Date
24 2018
Kata Kunci/Keyword
Abstrak/Abstract
Open Circuit Voltage (OCV) is a vital component in
Battery Management System which can be utilized to determine
the battery condition namely state of charge (SOC) and state of
health (SOH). Since OCV can not be measured when a battery
is continuously connected to load, the only way to determine its
value is through estimation. In this paper, the battery OCV is
estimated using Unknown Input Observer (UIO). The parameters
of the UIO are formulated into linear matrix inequality (LMI)
to satisfy the stability of a chosen Lyapunov function. By solving
the LMI, one possible solution for UIO parameters is obtained.
To demontrate the effectiveness of the designed UIO in estimating
OCV, simulations of a battery discharged using pulse load profile
and varying load profile are performed. The results show that
the OCV estimation faithfully tracks the actual OCV where the
OCV estimation error tends to zero for a given initial OCV
estimation error. Furthermore, the employment of UIO may
decrease computational complexity since there is no need to include
nonlinear SOC-OCV relationship in the OCV estimation.
Level
Internasional
Status
Dokumen Karya
No
Judul
Tipe Dokumen
Aksi
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