Implementation of a novel digitally-controlled lead-acid battery management system

2009 ◽  
Author(s):  
Guilin Zheng ◽  
Junhua Zhao
Keyword(s):  
Management System ◽  
Battery Management System ◽  
Battery Management ◽  
Lead Acid Battery ◽  
Digitally Controlled ◽  
Lead Acid

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

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.

Design of Lead-Acid Battery Management System

2014 ◽  
Vol 533 ◽  
pp. 331-334
Author(s):  
Wei Hua Chen ◽  
Yan Bo Che
Keyword(s):  
Service Life ◽  
Real Time ◽  
Management System ◽  
Normal Operation ◽  
Battery Management System ◽  
Battery Management ◽  
Lead Acid Battery ◽  
Battery Voltage ◽  
Discharge System ◽  
Lead Acid

In the charge and discharge system of lead-acid battery, in order to ensure the normal operation of charge and discharge, and to prolong the service life of lead-acid battery, battery management system (BMS) must be built up for lead-acid battery. The battery management system detects each index of battery to prevent over charge and over discharge appeared. In this paper, the function of battery management system, detection of battery voltage and battery current are researched. The lead-acid battery management system is designed to achieve the purpose of real-time monitoring of the lead-acid battery.

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