The parameter identification method study of the splice equivalent circuit model for the aerial lithium-ion battery pack

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.

Download Full-text

Model Identification of Power Lithium-Ion Battery Based on Laplace Transform

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.953-954.775 ◽

2014 ◽

Vol 953-954 ◽

pp. 775-779

Author(s):

En Guang Hou ◽

Xin Qiao ◽

Guang Min Liu

Keyword(s):

Laplace Transform ◽

Lithium Ion Battery ◽

Equivalent Circuit ◽

Least Squares Method ◽

Equivalent Circuit Model ◽

Lithium Ion ◽

Second Order ◽

Equivalent Model ◽

Model Parameters ◽

Test Model

In allusion to nonlinear characteristic of power lithium-ion battery, presented a method for identifying of power lithium-ion battery based on Laplace transform. First, analyzed the characteristics of the equivalent circuit model of power lithium-ion battery, determined the model of second-order RC equivalent circuit; Second, established equation of second-order RC equivalent circuit and conducted a Laplace transform; Third,using the massive data of charge-discharge test,model parameters was identified by least-squares method; Simulation results show that the method can effectively identify the equivalent model parameters, and model parameters small error.

Download Full-text

An equivalent circuit model analysis for the lithium-ion battery pack in pure electric vehicles

Measurement and Control ◽

10.1177/0020294019827338 ◽

2019 ◽

Vol 52 (3-4) ◽

pp. 193-201 ◽

Cited By ~ 5

Author(s):

Jie Su ◽

Maosong Lin ◽

Shunli Wang ◽

Jin Li ◽

James Coffie-Ken ◽

...

Keyword(s):

Lithium Ion Battery ◽

Equivalent Circuit ◽

Equivalent Circuit Model ◽

Lithium Ion ◽

Internal Resistance ◽

Circuit Model ◽

Battery Pack ◽

Power Pulse ◽

Simulation Error ◽

Joint Experiment

According to the demand of vehicle lithium-ion battery pack, the splice equivalent circuit model is constructed. First, a joint experiment of intermittent discharge and hybrid power pulse characterization, basis of the requirements of parameter identification for the model, is designed to identify the parameters. Study shows that it can identify the parameters. Second, the splice equivalent circuit model of vehicle lithium-ion battery pack is simulated by MATLAB/Simulink, which shows the model is feasible to describe the vehicle lithium-ion battery pack. The simulation error of ohmic internal resistance R0 should be less than 0.05 mΩ. Study suggests that the vehicle lithium-ion battery pack has a stable discharge period within the state-of-charge range of [20%, 80%]. However, when stage of charge is below 20%, vehicle lithium-ion battery pack is no longer stable and the parameters of the splice equivalent circuit model change dramatically.

Download Full-text

Bayesian Estimation of Model Parameters of Equivalent Circuit Model for Detecting Degradation Parts of Lithium-ion Battery

IEEE Access ◽

10.1109/access.2021.3131190 ◽

2021 ◽

pp. 1-1

Author(s):

Tamon Miyake ◽

Tomoyuki Suzuki ◽

Satoshi Funabashi ◽

Namiko Saito ◽

Mitsuhiro Kamezaki ◽

...

Keyword(s):

Bayesian Estimation ◽

Lithium Ion Battery ◽

Equivalent Circuit ◽

Equivalent Circuit Model ◽

Lithium Ion ◽

Circuit Model ◽

Model Parameters ◽

Estimation Of Model Parameters

Download Full-text

Adaptive Forgetting Factor Recursive Least Square Algorithm for Online Identification of Equivalent Circuit Model Parameters of a Lithium-Ion Battery

Energies ◽

10.3390/en12122242 ◽

2019 ◽

Vol 12 (12) ◽

pp. 2242 ◽

Cited By ~ 9

Author(s):

Xiangdong Sun ◽

Jingrun Ji ◽

Biying Ren ◽

Chenxue Xie ◽

Dan Yan

Keyword(s):

Lithium Ion Battery ◽

Equivalent Circuit ◽

Equivalent Circuit Model ◽

Lithium Ion ◽

Circuit Model ◽

Least Square ◽

Model Parameters ◽

Recursive Least Square ◽

Forgetting Factor ◽

Online Identification

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.

Download Full-text

Experimental Identification using Equivalent Circuit Model for Lithium-Ion Battery

International Journal of Emerging Electric Power Systems ◽

10.1515/ijeeps-2017-0210 ◽

2018 ◽

Vol 19 (3) ◽

Cited By ~ 2

Author(s):

F. Eltoumi ◽

A. Badji ◽

M. Becherif ◽

H. S. Ramadan

Keyword(s):

Lithium Ion Battery ◽

Equivalent Circuit ◽

Control Strategies ◽

Dynamic Performance ◽

Equivalent Circuit Model ◽

Lithium Ion ◽

Circuit Model ◽

Model Parameters ◽

Battery Management System ◽

Monitoring And Control

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.

Download Full-text