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http://dx.doi.org/10.5855/ENERGY.2013.22.4.338

Modeling of the lifetime prediction of a 12-V automotive lead-acid battery  

Kim, Sung Tae (Dept. of Chemical Engineering, Ajou University,)
Lee, Jeongbin (Dept. of Energy Systems Research, Ajou University)
Kim, Ui Seong (Dept. of Energy Systems Research, Ajou University)
Shin, Chee Burm (Dept. of Energy Systems Research, Ajou University)
Publication Information
Journal of Energy Engineering / v.22, no.4, 2013 , pp. 338-346 More about this Journal
Abstract
The conventional lead acid battery is optimized for cranking performance of engine. Recently electric devices and fuel economy technologies of battery have influenced more deep cycle of dynamic behavior of battery. I also causes to reduce battery life-time. This study proposed that aging battery model is focused for increasing of battery durability. The stress factors of battery aging consist of discharge rate, charging time, full charging time and temperature. This paper considers the electrochemical kinetics, the ionic species conservation, and electrode porosity. For prediction of battery life cycle we consider battery model containing strong impacts, corrosion of positive grid and shedding. Finally, we validated that modeling results were compared with the accelerated thermal measurement data.
Keywords
automotive lead-acid battery; lifetime prediction; electrochemical modeling;
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