scholarly journals Microcontroller-Based Lead-Acid Battery Balancing System for Electric Vehicle Applications

2021 ◽  
Vol 21 (2) ◽  
pp. 128
Author(s):  
Ali Rospawan ◽  
Joni Welman Simatupang
Keyword(s):  
Detection Algorithm ◽  
Battery Management System ◽  
Battery Management ◽  
Continuous Mode ◽  
Lead Acid Battery ◽  
Battery Lifetime ◽  
Mode Operation ◽  
Electrical Vehicle ◽  
Current Monitoring ◽  
Lead Acid

In application of lead-acid batteries for electrical vehicle applications, 48 V of four 12 V batteries in a series configuration are required. However, the battery stack is repeatedly charged and discharged during operation. Hence, differences in charging and discharging speeds may result in a different state-of-charge of battery cells. Without proper protection, it may cause an excessive discharge that leads to premature degradation of the battery. Therefore, a lead-acid battery requires a battery management system to extend the battery lifetime. Following the LTC3305 balancing scheme, the battery balancing circuit with auxiliary storage can employ an imbalance detection algorithm for sequential battery. It happens by comparing the voltage of a battery on the stack and the auxiliary storage. In this paper, we have replaced the function of LTC3305 by a NUCLEO F767ZI microcontroller, so that the balancing process, the battery voltage, the drawn current to or from the auxiliary battery, and the surrounding temperature can be fully monitored. The prototype of a microcontroller-based lead-acid battery balancing system for electrical vehicle application has been fabricated successfully in this work. The batteries voltage monitoring, the auxiliary battery drawn current monitoring, the overcurrent and overheat protection system of this device has also successfully built. Based on the experimental results, the largest voltage imbalance is between battery 1 and battery 2 with a voltage imbalance of 180 mV. This value is still higher than the target of voltage imbalance that must be lower than 12.5 mV. The balancing process for the timer mode operation is faster 1.5 times compared to the continuous mode operation. However, there were no overcurrent or overtemperature occurred during the balancing process for both timer mode and continuous mode operation. Furthermore, refinement of this device prototype is required in the future to improve the performance significantly.

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 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 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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