The Research on Certain Type of Starter Lead-Acid Battery Performance Test Used in Real Off-Road Vehicle

2013 ◽  
Vol 313-314 ◽  
pp. 214-218
Author(s):  
Guo Bin Zhang ◽  
Dao Weind Zhu ◽  
Gang Yang
Keyword(s):  
Performance Test ◽  
Electricity Demand ◽  
The Self ◽  
Vehicle Design ◽  
Lead Acid Battery ◽  
Battery Voltage ◽  
Road Vehicle ◽  
Current Characteristic ◽  
Real Vehicle ◽  
Lead Acid

In this paper, the main performances of the lead-acid battery used on in a real off-road vehicle were tested through experiments. The lead-acid battery voltage and current characteristic curves of the self-discharge, real vehicle starting experiment and battery electricity demand experiment performance in the different conditions were studied. The results show that this lead-acid battery can be used as the preferred battery and the charging and discharging rules of this battery can be used to improve the vehicle 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 < 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.

scholarly journals A prediction method for voltage and lifetime of lead–acid battery by using machine learning

2019 ◽  
Vol 38 (1) ◽  
pp. 310-329 ◽  
Author(s):  
Zhi-Hao Wang ◽  
Hendrick ◽  
Gwo-Jiun Horng ◽  
Hsin-Te Wu ◽  
Gwo-Jia Jong
Keyword(s):  
Machine Learning ◽  
Prediction Models ◽  
Prediction Method ◽  
Smooth Curve ◽  
Training Data ◽  
Correct Prediction ◽  
Lead Acid Battery ◽  
Battery Voltage ◽  
Input Parameters ◽  
Lead Acid

Lead–acid battery is the common energy source to support the electric vehicles. During the use of the battery, we need to know when the battery needs to be replaced with the new one. In this research, we proposed a prediction method for voltage and lifetime of lead–acid battery. The prediction models were formed by three kinds mode of four-points consecutive voltage and time index.The first mode was formed by four fixed voltages value during four weeks, namely M1. The second mode was formed by four previous voltage values from prediction time, namely M2. Third mode was formed by the combinations of four previous data with the last predicted data, namely M3. The training data were recorded from 10 lead–acid batteries. We separated between training data and testing data. Data collection for training were recorded in 155 weeks. The examined data for the model was captured in 105 weeks. Three of batteries were selected for prediction. Machine learning methods were used to create the batteries model of voltage and lifetime prediction. Convolutional Neural Network was selected to train and predict the battery model. To compare our model performance, we also performed Multilayer Perceptron with the same data procedure. Based on experiment, M1 model did not achieve the correct prediction besides the linear case. M2 model successfully predicted the battery voltage and lifetime. The M2 curve was almost the same with real-time measurement, but the curve was not fitting smoothly. M3 model achieved the high prediction with smooth curve. According to our research on lead–acid battery voltage prediction, we give the following conclusions and suggestions to be considered. The accuracy of prediction is affected by the number of input parameters is used in prediction. The input parameters need to have time consecutive.

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.

scholarly journals Test procedures for an acid battery for diagnostic purposes

2019 ◽  
Vol 24 (6) ◽  
pp. 257-262
Author(s):  
Józef Pszczółkowski ◽  
Grzegorz Dyga
Keyword(s):  
Mathematical Model ◽  
Technical Condition ◽  
Current Load ◽  
Lead Acid Battery ◽  
Battery Voltage ◽  
Test Procedures ◽  
Independent Variables ◽  
Factors Influencing ◽  
Experimental Plan ◽  
Lead Acid

The article describes the principle of the work of the lead-acid battery. The most common methods of assessing the technical condition of the battery were characterized and some causes of battery undercharging were indicated. The factors influencing the value of the battery voltage during the current load were indicated. An experimental plan was developed to determine the coefficients of a linear mathematical model describing the influence of individual independent variables on a dependent variable. A linear mathematical model was elaborated based on data obtained during battery tests in accordance with the adopted plan of the experiment.

LEACHING PROPERTIES OF LEAD PASTE IN SPENT LEAD-ACID BATTERY WITH A HYDROMETALLURGICAL PROCESS AT ROOM TEMPERATURE

2013 ◽  
Vol 12 (11) ◽  
pp. 2175-2182 ◽  
Author(s):  
Jiakuan Yang ◽  
Xinfeng Zhu ◽  
Lei Li ◽  
Jianwen Liu ◽  
Ramachandran Vasant Kumar
Keyword(s):  
Room Temperature ◽  
Hydrometallurgical Process ◽  
Lead Acid Battery ◽  
Lead Acid

Determination of Lead in Soils Surrounding a Lead-Acid Battery Manufacturer

1995 ◽  
Vol 30 (2) ◽  
pp. 299-304 ◽  
Author(s):  
Cameron D. Skinner ◽  
Eric D. Salin
Keyword(s):  
Lead Concentration ◽  
Depth Range ◽  
Lead Acid Battery ◽  
Soil Lead ◽  
Lead Levels ◽  
Factory Site ◽  
Lead Acid

Abstract Soil lead levels were determined on and around a former battery manufacturing site. Lead concentrations ranging from 120 ppm to 5.1’ were found. The highest concentrations were found close to the factory site. When it was possible to obtain samples over a continuous depth range, it was found that lead concentration decreased with depth and that it increased above underground foundations.

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