SOC Estimation of Lithium-ion Batteries at Different Temperatures

With the development of new energy vehicles, an accurate estimation of SOC was crucial for the battery pack’s safe and dependable functioning. Experiments with the NCR18650B lithium-ion battery were made at different temperatures: low temperature (0°C), room temperature (25°C), and high temperature (45°C). A fractional order model and BP neural network algorithm were adopted to estimate the battery charge state of the lithium-ion battery. The experimental findings indicated that the error could be limited to 10% or below, which essentially satisfied the power battery charge status estimate accuracy criterion.