Experimental Identification using Equivalent Circuit Model for Lithium-Ion Battery

Author(s):  
F. Eltoumi ◽  
A. Badji ◽  
M. Becherif ◽  
H. S. Ramadan

Abstract The modelling of Lithium-ion batteries is considered as a powerful tool for the introduction and testing of this technology in energy storage applications. In fact, new application domains for the battery technology have recently placed greater emphasis on their energy management, monitoring, and control strategies. Battery models have become an essential tool for the design of battery-powered systems; their usage includes battery state-of-charge (SoC), state-of-health (SoH) estimations, and battery management system design and battery characterization. This paper presents a method on how to estimate Lithium-Ion battery equivalent circuit model (ECM) parameters based on experimental characteristic measurements by charging and discharging the battery at different modes. The experiment is realized with a computer that realizes the control of charge and discharge via LabVIEWTM software. In this paper, tests are conducted on Lithium-Ion battery 18650 (nominal voltage of 3.7 V and nominal capacity of 2900 mAh) with the proposed method to evaluate the battery model parameters. The proposed method has the best dynamic performance and gives accurate parameter identification which enables the use of models to simulate the battery system performance.

Energies ◽  
2019 ◽  
Vol 12 (12) ◽  
pp. 2242 ◽  
Author(s):  
Xiangdong Sun ◽  
Jingrun Ji ◽  
Biying Ren ◽  
Chenxue Xie ◽  
Dan Yan

With the popularity of electric vehicles, lithium-ion batteries as a power source are an important part of electric vehicles, and online identification of equivalent circuit model parameters of a lithium-ion battery has gradually become a focus of research. A second-order RC equivalent circuit model of a lithium-ion battery cell is modeled and analyzed in this paper. An adaptive expression of the variable forgetting factor is constructed. An adaptive forgetting factor recursive least square (AFFRLS) method for online identification of equivalent circuit model parameters is proposed. The equivalent circuit model parameters are identified online on the basis of the dynamic stress testing (DST) experiment. The online voltage prediction of the lithium-ion battery is carried out by using the identified circuit parameters. Taking the measurable actual terminal voltage of a single battery cell as a reference, by comparing the predicted battery terminal voltage with the actual measured terminal voltage, it is shown that the proposed AFFRLS algorithm is superior to the existing forgetting factor recursive least square (FFRLS) and variable forgetting factor recursive least square (VFFRLS) algorithms in accuracy and rapidity, which proves the feasibility and correctness of the proposed parameter identification algorithm.


2018 ◽  
Vol 51 (5-6) ◽  
pp. 125-137 ◽  
Author(s):  
Shunli Wang ◽  
Carlos Fernandez ◽  
Xiaohan Liu ◽  
Jie Su ◽  
Yanxin Xie

According to the special condition expression of the aerial lithium-ion battery pack, a novel targeted equivalent model (Splice–Equivalent Circuit Model) is proposed and constructed. The Splice–Equivalent Circuit Model achieves the accurate mathematical expression of the special operating conditions and the working process for the lithium-ion battery pack, which is realized by using the equivalent simulation of different internal effects in the charging and discharging process of the battery pack. The theoretical study and analysis of the working principle is investigated to express the working characteristics of the aerial lithium-ion battery pack together with the experimental analysis. Then, the equivalent circuit model of the aerial lithium-ion battery pack is carried out on the composite construction methods. The experimental studies are carried out in order to identify the parameters of the improved Splice–Equivalent Circuit Model, obtaining respectable identification results of battery equivalent model parameters.


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