KEYWORDS: System on a chip, Neural networks, Control systems, Data modeling, Sensors, Evolutionary algorithms, Process modeling, Analog electronics, Data processing, Amplifiers
Battery management technology is one of the key technologies of new energy vehicles. This paper designs the hardware of battery management system (BMS) for new energy vehicles, and uses radial basis function (RBF) neural network to estimate the state of charge (SOC) of batteries. The results show that using RBF neural network algorithm to estimate SOC can avoid the process of modeling the complex electrochemical reaction inside the battery, and can achieve high accuracy.
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