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The State of Charge Estimation of Lithium-Ion Batteries Based on a Proportional-Integral Observer
Jun Xu ; Mi, Chunting Chris ; Binggang Cao ; Junjun Deng ; Zheng Chen ; Siqi Li
IEEE transactions on vehicular technology, 2014-05, Vol.63 (4), p.1614-1621
[Peer Reviewed Journal]
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Title:
The State of Charge Estimation of Lithium-Ion Batteries Based on a Proportional-Integral Observer
Author:
Jun Xu
;
Mi, Chunting Chris
;
Binggang Cao
;
Junjun Deng
;
Zheng Chen
;
Siqi Li
Subjects:
PI observer
;
Computational modeling
;
lithium ion battery
;
SOC
;
Observers
;
Batteries
;
sliding mode observer
;
battery
;
Equations
;
state of charge
;
electric vehicle
;
proportional integral observer
;
System-on-chip
;
Mathematical model
;
Electrical engineering. Electrical power engineering
;
Miscellaneous
;
Electrical power engineering
;
Electrochemical conversion: primary and secondary batteries, fuel cells
;
Exact sciences and technology
;
Electronics
;
Electrical machines
;
Circuit properties
;
Electric, optical and optoelectronic circuits
;
Direct energy conversion and energy accumulation
;
Ground, air and sea transportation, marine construction
;
Applied sciences
;
Regulation and control
;
Road transportation and traffic
;
Electronic circuits
;
Measurement
;
Usage
;
Integral equations
;
Voltage
;
Lithium cells
;
Mathematical models
;
Design and construction
Is Part Of:
IEEE transactions on vehicular technology, 2014-05, Vol.63 (4), p.1614-1621
Description:
With the development of electric drive vehicles (EDVs), the state-of-charge (SOC) estimation for lithium-ion (Li-ion) batteries has become increasingly more important. Based on the analysis of some of the most popular model-based SOC estimation methods, the proportional-integral (PI) observer is proposed to estimate the SOC of lithium-ion batteries in EDVs. The structure of the proposed PI observer is analyzed, and the convergence of the estimation method with model errors is verified. To demonstrate the superiority and compensation properties of the proposed PI observer, the simple-structure RC battery model is utilized to model the Li-ion battery. To validate the results of the proposed PI-based SOC estimation method, the experimental battery test bench is established. In the validation, the urban dynamometer driving schedule (UDDS) drive cycle is utilized, and the PI-based SOC estimation results are found to agree with the reference SOC, generally within the 2% error band for both the known and unknown initial SOC cases.
Publisher:
New York, NY: IEEE
Language:
English
Identifier:
ISSN:
0018-9545
EISSN:
1939-9359
DOI:
10.1109/TVT.2013.2287375
CODEN:
ITVTAB
Source:
IEEE/IET Electronic Library (IEL) Journals
Links
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