scholarly journals Cranking Capability Estimation Algorithm Based on Modeling and Online Update of Model Parameters for Li-Ion SLI Batteries

Energies ◽  
2019 ◽  
Vol 12 (17) ◽  
pp. 3365
Author(s):  
Tae-Won Noh ◽  
Jung-Hoon Ahn ◽  
Byoung Kuk Lee
Keyword(s):  
Equivalent Circuit ◽  
Voltage Drop ◽  
Equivalent Circuit Model ◽  
Estimation Algorithm ◽  
Circuit Model ◽  
Estimation Accuracy ◽  
Voltage Response ◽  
Model Parameters ◽  
Voltage Range ◽  
Terminal Voltage

The terminal voltage of a starting–lighting–ignition (SLI) battery can decrease to a value lower than the allowable voltage range because of the high discharge current required to crank the engine of a vehicle. To avoid the safety problems generated by this voltage drop, this paper proposes a cranking capability estimation algorithm. The proposed algorithm includes an equivalent circuit model for describing the instantaneous voltage response to the cranking current profile. This algorithm predicts the minimum value of the terminal voltage for the cranking transient period by analyzing the polarization voltage and dynamic characteristic of the equivalent circuit model. The estimation accuracy is adjusted by an online update for the parameters of the equivalent circuit model, which varies with temperature, aging, and other factors. The proposed algorithm was validated by experiments with a 60Ah LiFePO4-type SLI battery.

scholarly journals Experimental design for an enhanced parametric modeling of supercapacitor equivalent circuit model

2021 ◽  
Vol 23 (1) ◽  
pp. 63
Author(s):  
Ali Mohsen Alsabari ◽  
M. K Hassan ◽  
Azura CS ◽  
Ribhan Zafira
Keyword(s):  
Experimental Design ◽  
Equivalent Circuit ◽  
Equivalent Circuit Model ◽  
Structure Design ◽  
Parametric Modeling ◽  
Circuit Model ◽  
Maximum Relative Error ◽  
Internal Parameters ◽  
Terminal Voltage ◽  
Real Challenge

The modelling of the supercapacitor (SC) plays an important role for the industrial application with many model representations such as electrical, chemical, and electrochemical models. Among one of those models are the equivalent circuit model which has been used to describe the real-time (charging/discharging) operation characteristics of the SC. Apart of its mathematical complexity, the time-consuming experimentally is also a real challenge for obtaining the internal parameters values for the SC. Choices of test equipment with a structure design of experiment also play important criteria affect the accuracy of the model. This research emphasis on a structured of experimental design for SC modelling by using Neware battery tester. The experimental exercise to attain internal parameters of the SC are described and discussed in the paper. The findings were benchmarked with an empirical model of previous researchers. The terminal voltage of SC was validated via experiment with maximum relative error of 0.045%. The model successfully reproduce the SC dynamic behavior during the charge/discharge phase which indicates the proposed method and model accuracy.

scholarly journals Improvement of an Equivalent Circuit Model for Li-Ion Batteries Operating at Variable Discharge Conditions

Electronics ◽  
2020 ◽  
Vol 9 (1) ◽  
pp. 78
Author(s):  
Gabriele Maria Lozito ◽  
Valentina Lucaferri ◽  
Francesco Riganti Fulginei ◽  
Alessandro Salvini
Keyword(s):  
Energy Harvesting ◽  
Equivalent Circuit ◽  
Discharge Current ◽  
Equivalent Circuit Model ◽  
Circuit Model ◽  
Model Parameters ◽  
Estimation Algorithms ◽  
Harvesting Systems ◽  
Li Ion ◽  
Global And Local

A real time simulation of battery conditions is an essential step in the development of energy harvesting devices. Since it is not possible to have a direct measurement, the battery information, such as the remaining charge, need to be estimated by means of model-based estimation algorithms. Most of the existing models describing battery behaviour, are suitable only for a constant discharge current. This paper proposes a study of the dependence of the equivalent circuit model parameters on different discharge conditions. The model presented provides a powerful tool to represent the batteries’ behaviour in energy harvesting systems, involving continuous charge and discharge cycles. The extraction of parameters was performed, starting from a set of reference curves generated in Matlab Simulink environment, referring to Li-ion technology batteries. The parameters were extracted by means of a cascade of global and local search identification algorithms. Finally, the relations describing parameters’ behaviours as functions of the discharge current are presented.

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