State of Charge Dependency of Graphitized-Carbon-Based Reactions in a Lithium-ion Secondary Cell Studied by Electrochemical Impedance Spectroscopy

2014 ◽  
Vol 131 ◽  
pp. 168-173 ◽  
Author(s):  
Omar Samuel Mendoza-Hernandez ◽  
Hiroaki Ishikawa ◽  
Yuuki Nishikawa ◽  
Yuki Maruyama ◽  
Yoshitsugu Sone ◽  
...  
Keyword(s):  
Electrochemical Impedance Spectroscopy ◽  
Impedance Spectroscopy ◽  
Electrochemical Impedance ◽  
Lithium Ion ◽  
State Of Charge ◽  
Graphitized Carbon ◽  
Carbon Based

scholarly journals Variable-Order Equivalent Circuit Modeling and State of Charge Estimation of Lithium-Ion Battery Based on Electrochemical Impedance Spectroscopy

Energies ◽  
2021 ◽  
Vol 14 (3) ◽  
pp. 769
Author(s):  
Ji’ang Zhang ◽  
Ping Wang ◽  
Yushu Liu ◽  
Ze Cheng
Keyword(s):  
Electrochemical Impedance Spectroscopy ◽  
Impedance Spectroscopy ◽  
Equivalent Circuit ◽  
Electrochemical Impedance ◽  
Equivalent Circuit Model ◽  
Lithium Ion ◽  
Impedance Spectrum ◽  
The State ◽  
State Of Charge ◽  
Variable Order

In the battery management system, it is important to accurately and efficiently estimate the state of charge (SOC) of lithium-ion batteries, which generally requires the establishment of a equivalent circuit model of the battery, whose accuracy and rationality play an important role in accurately estimating the state of lithium-ion batteries. The traditional single order equivalent circuit models do not take into account the changes of impedance spectrum under the action of multiple factors, nor do they take into account the balance of practicality and complexity of the model, resulting the low accuracy and poor practicability. In this paper, the theory of electrochemical impedance spectroscopy is used to guide and improve the equivalent circuit model. Based on the analysis of the variation of the high and intermediate frequency range of the impedance spectrum with the state of charge and temperature of the battery, a variable order equivalent model (VOEM) is proposed by Arrhenius equation and Bayesian information criterion (BIC), and the state equation and observation equation of VOEM are improved by autoregressive (AR) equations. Combined with the unscented Kalman filter (UKF), a SOC online estimation method is proposed, named VOEM-AR-UKF. The experimental results show that the proposed method has high accuracy and good adaptability.

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