by SAE International in United States
Battery operated vehicle needs accurate management system because of its quick changes in State of Charge (SoC) due to aggressive acceleration profiles and regenerative braking. Li-ion battery needs control over its operating area for the safe working. The main objective of the proposed system is to develop a BMS having algorithms to estimate accurate SoC, balance individual cells, thermal management, and provide safe area of operation defined by voltage and temperature. Proposed methodology uses Coulomb Counting as well as Model-based Design approach wherein nonlinear behavior of battery is modeled as Equivalent Circuit Model to compute the SoC and degradation effect on battery to decide the end of life of battery. Also performing Inductive Active Balancing on cells to equalize the charge. The study aims on deploying the model-based system on embedded platform which would help industry to reduce the model development time and focus on development of controlling algorithms for high end users. Active Balancing Architecture proposed here reduces the complexity of algorithm and at the same time decreases the balancing time.
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