scholarly journals State of charge and state of health determination model for a lead-acid battery to be implemented in a management system

2015 ◽  
Author(s):  
J. Hernández ◽  
A. F. Campos ◽  
R. Gómez
Keyword(s):  
Management System ◽  
State Of Charge ◽  
State Of Health ◽  
Lead Acid Battery ◽  
Lead Acid

scholarly journals A robust state of charge estimation for multiple models of lead acid battery using adaptive extended Kalman filter

2020 ◽  
Vol 9 (1) ◽  
pp. 1-11
Author(s):  
Maamar Souaihia ◽  
Bachir Belmadani ◽  
Rachid Taleb
Keyword(s):  
Kalman Filter ◽  
Management System ◽  
State Of Charge ◽  
Least Square ◽  
Accurate Estimation ◽  
Battery Management System ◽  
Battery Management ◽  
Lead Acid Battery ◽  
Soc Estimation ◽  
Lead Acid

An accurate estimation technique of the state of charge (SOC) of batteries is an essential task of the battery management system. The adaptive Kalman filter (AEKF) has been used as an obsever to investigate the SOC estimation effectiveness. Therefore, The SOC is a reflexion of the chemistry of the cell which it is the key parameter for the battery management system. It is very complex to monitor the SOC and control the internal states of the cell. Three battery models are proposed and their state space models have been established, their parameters were identified by applying the least square method. However, the SOC estimation accuracy of the battery depends on the model and the efficiency of the algorithm. In this paper, AEKF technique is presented to estimate the SOC of Lead acid battery. The experimental data is used to identify the parameters of the three models and used to build different open circuit voltage–state of charge (OCV-SOC) functions relationship. The results shows that the SOC estimation based-model which has been built by hight order RC model can effectively limit the error, hence guaranty the accuracy and robustness.

New lead-acid battery management system based on generator regulation

2012 ◽  
Vol 13 (4) ◽  
pp. 679-686 ◽  
Author(s):  
G. Y. Zhang ◽  
X. W. Zhao ◽  
J. X. Qiang ◽  
F. Tian ◽  
L. Yang
Keyword(s):  
Management System ◽  
Battery Management System ◽  
Battery Management ◽  
Lead Acid Battery ◽  
Lead Acid

Long‐Life Lead‐Acid Battery for High‐Rate Partial‐State‐of‐Charge Operation Enabled by a Rice‐Husk‐Based Activated Carbon Negative Electrode Additive

2020 ◽  
Vol 5 (8) ◽  
pp. 2551-2558
Author(s):  
Zheqi Lin ◽  
Wenli Zhang ◽  
Nan Lin ◽  
Haibo Lin ◽  
Jun Shi
Keyword(s):  
Activated Carbon ◽  
Rice Husk ◽  
Negative Electrode ◽  
State Of Charge ◽  
High Rate ◽  
Lead Acid Battery ◽  
Long Life ◽  
Partial State ◽  
Lead Acid

A simple and robust fiber optics system for measuring the lead-acid battery state-of-charge

2006 ◽  
Vol 159 (1) ◽  
pp. 728-733 ◽  
Author(s):  
O.D. Cortázar ◽  
V. Feliu
Keyword(s):  
Fiber Optics ◽  
State Of Charge ◽  
Lead Acid Battery ◽  
Battery State Of Charge ◽  
Lead Acid

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 < 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 < 11.64 volts and faster on other range.

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