Design and Development of a Fuzzy Based IVT Sensor for Battery Management System to Monitor SOC in Power Conversion Applications

Abstract

The battery management system (BMS) of a hybrid-electric-vehicle (HEV) battery pack comprises of hardware and software to monitor pack status and optimize performance. One of its important functions is to execute algorithms that continuously estimate battery state-of-charge (SOC) and available power. The accuracy of these algorithms is critical for the proper sizing of the battery pack .If accurate algorithms are not available, the pack”already among the costliest and heaviest components of the propulsion system”must be over-designed to compensate. This project presents a very accurately estimate the desired quantities through Fuzzy logic. While the algorithms are mathematically advanced, they can be implemented on simple and inexpensive micro-controllers. The result is an important element of an economical, robust, and reliable HEV energy storage system