Automobile battery life & health estimation using experimental data analysis (T-0453) (MFN 8596)

Abstract

. For decades, side by side with the technological advancement in its engineering design and chemistry, a common battery has been used extensively and diversely in a range of applications. Batteries are these days used almost everywhere. One such example can be witnessed in our daily life is the use of lead acid batteries in automobiles for ignition purposes and to address other electronic & electrical load. At the very same time, these lead acid batteries can become a source of great discomfort when they are not able to serve their prime purpose, especially at times when they are needed the most. Therefore, it is necessary to constantly monitor its health to avoid such an inconvenience. For the purpose, many state of charge, state of health and life estimation methods have been contributed by many researchers in the literature, with each standing uniquely with its own method and algorithm. For the completion of this thesis, the experimental approach has been adopted to take in account all the uncertainty factors with the sole purpose of having as accurate as possible results and analytical conclusions. For battery health condition realization and assessment of its suitability for a field job, fuzzy logics have been employed in a MATLAB environment. The results indicate that the proposed methodology is an adaptive one, which can be applied for any given load (automobile) with any given battery specification