Modelling and Simulation of a Lead Acid Battery for Traction Applications

2016 ◽  
Vol 8 (1) ◽  
Author(s):  
D. Elangovan ◽  
G. Arunkumar ◽  
H.M. Tania ◽  
J.K Patra
Keyword(s):  
Equivalent Circuit ◽  
State Of Charge ◽  
Lead Acid Battery ◽  
Cell Temperature ◽  
Third Order ◽  
Electrical Equivalent Circuit ◽  
Battery Model ◽  
Terminal Voltage ◽  
Simulation Results ◽  
Lead Acid

In this paper, modeling of a lead acid battery was done by electrical equivalent circuit approach. Model based equivalent circuit approach was used to find the state of charge, terminal voltage, cell temperature and life of the battery at various temperatures. Based on complexity and accuracy, Thevinin’s third order equivalent battery model was simulated using MATLAB Simulink software. The simulation results were validated with the experimental state of charge and terminal voltage values.

scholarly journals SOC (STATE of CHARGE) THREE-CELL LEAD DYNAMIC BATTERY MODEL

2021 ◽  
Vol 13 (2) ◽  
pp. 49-59
Author(s):  
Kurriawan Budi Pranata ◽  
Freygion Ogiek Rizal Sukma ◽  
Muhammad Ghufron ◽  
Masruroh Masruroh
Keyword(s):  
State Of Charge ◽  
Battery Management System ◽  
Battery Management ◽  
Lead Acid Battery ◽  
Battery Model ◽  
Secondary Battery ◽  
Battery Technology ◽  
Battery Energy ◽  
Full Charge ◽  
Lead Acid

Three-cells dynamic lead-acid battery has been widely manufactured as the latest secondary battery technology. It is being carried out by 10 cycles of charge-discharge treatment with a various types of SoC, such as 100% (Full charge 5100 mAh), 50% (2550 mAh), 25% (1275 mAh) and discharge current of 0.8A. This experiment aims to analyze the treatment of SOC conditions on the performance of the lead-acid battery. The cyclicality test has performed using a Battery Management System (BMS) by applying an electric current at charging 1 A and discharging 0.8A. The results of the SOC charging conditions at 100%, 50%, 25% respectively gave a difference in the value of voltage efficiency of 84%, 87%, 88%, capacity efficiency values of 84%, 80%, 69%, energy efficiency values of 70%, 70%, 62%. The 100% and 50% SOC treatments showed better performance and battery energy the 25% SOC treatment. This research can be a recommendation to predict the performance of the lead-acid battery model during the charging and discharging process.

scholarly journals Kalman filter applied to Thevenin’s modeling of a lead-acid battery

2022 ◽  
Vol 12 (2) ◽  
pp. 1350
Author(s):  
Jose Alfredo Palacio-Fernádez ◽  
Edwin García Quintero
Keyword(s):  
Kalman Filter ◽  
Open Circuit Voltage ◽  
Open Circuit ◽  
State Of Charge ◽  
Model Estimation ◽  
Lead Acid Battery ◽  
Battery Model ◽  
Internal Parameters ◽  
Different Types ◽  
Lead Acid

<span>This article determines the internal parameters of a battery analyzed from its circuit equivalent, reviewing important information that can help to identify the battery’s state of charge (SOC) and its state of health (SOH). Although models that allow the dynamics of different types of batteries to be identified have been developed, few have defined the lead-acid battery model from the analysis of a filtered signal by applying a Kalman filter, particularly taking into account the measurement of noise not just at signal output but also at its input (this is a novelty raised from the experimental). This study proposes a model for lead-acid batteries using tools such as MATLAB<sup>®</sup> and Simulink<sup>®</sup>. First, a method of filtering the input and output signal is presented, and then a method for identifying parameters from 29 charge states is used for a lead-acid battery. Different SOCs are related to different values of open circuit voltage (OCV). Ultimately, improvements in model estimation are shown using a filter that considers system and sensor noise since the modeled and filtered signal is closer to the original signal than the unfiltered modeled signal.</span>

scholarly journals Constructing Accurate Equivalent Electrical Circuit Models of Lithium Iron Phosphate and Lead–Acid Battery Cells for Solar Home System Applications

Energies ◽  
2018 ◽  
Vol 11 (9) ◽  
pp. 2305 ◽  
Author(s):  
Yunhe Yu ◽  
Nishant Narayan ◽  
Victor Vega-Garita ◽  
Jelena Popovic-Gerber ◽  
Zian Qin ◽  
...  
Keyword(s):  
Lithium Iron Phosphate ◽  
Electrical Circuit ◽  
Design Stage ◽  
Model Parameters ◽  
Equivalent Electrical Circuit ◽  
Cell Level ◽  
Electrical Equivalent Circuit ◽  
Battery Model ◽  
Vrla Battery ◽  
Lead Acid

The past few years have seen strong growth of solar-based off-grid energy solutions such as Solar Home Systems (SHS) as a means to ameliorate the grave problem of energy poverty. Battery storage is an essential component of SHS. An accurate battery model can play a vital role in SHS design. Knowing the dynamic behaviour of the battery is important for the battery sizing and estimating the battery behaviour for the chosen application at the system design stage. In this paper, an accurate cell level dynamic battery model based on the electrical equivalent circuit is constructed for two battery technologies: the valve regulated lead–acid (VRLA) battery and the LiFePO 4 (LFP) battery. Series of experiments were performed to obtain the relevant model parameters. This model is built for low C-rate applications (lower than 0.5 C-rate) as expected in SHS. The model considers the non-linear relation between the state of charge ( S O C ) and open circuit voltage ( V OC ) for both technologies. Additionally, the equivalent electrical circuit model for the VRLA battery was improved by including a 2nd order RC pair. The simulated model differs from the experimentally obtained result by less than 2%. This cell level battery model can be potentially scaled to battery pack level with flexible capacity, making the dynamic battery model a useful tool in SHS design.

Correlation between Battery Voltage under Loaded Condition and Estimated State of Charge at Valve-Regulated Lead Acid Battery on Discharge Condition using Open Circuit Voltage Method

2018 ◽  
Vol 9 (1) ◽  
pp. 357
Author(s):  
Ahmad Qurthobi ◽  
Anggita Bayu Krisna Pambudi ◽  
Dudi Darmawan ◽  
Reza Fauzi Iskandar
Keyword(s):  
Open Circuit Voltage ◽  
Open Circuit ◽  
State Of Charge ◽  
Lead Acid Battery ◽  
Battery Voltage ◽  
Measured Voltage ◽  
The Common ◽  
Loaded Voltage ◽  
Vrla Battery ◽  
Lead Acid

One of the common methods that developed to predict state of charge is open circuit voltage (OCV) method. The problem which commonly occurs is to find the correction parameter between open circuit voltage and loaded voltage of the battery. In this research, correlation between state of charge measurement at loaded condition of a Panasonic LC-VA1212NA1, which is a valve-regulated lead acid (VRLA) battery, and open circuit voltage had been analyzed. Based on the results of research, correlation between battery’s measured voltage under loaded condition and open circuit voltage could be approached by two linearization area. It caused by K v ’s values tend to increase when measured voltage under loaded condition V M &lt; 11.64 volt. However, K v values would be relatively stable for every V M ≥ 11.64 volts. Therefore, estimated state of charge value, in respect to loaded battery voltage, would increase slower on V M &lt; 11.64 volts and faster on other range.

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