The present application relates to the field of
power electronics and battery management technology, and particularly relates to a self-adaptive
fast charging method and
system suitable for a
direct current power supply. The present application breaks through the fixed parameter limitation of the traditional charging mode, automatically optimizes the output charging
voltage and current instruction through an
intelligent decision model, and can adapt to batteries of different temperature environments, aging degrees and types. The present application can accurately perceive the battery state, identify the battery aging characteristics and adjust the parameters accordingly, with the optimization goal of minimizing the charging loss, reducing the battery heating and relieving the internal aging, effectively prolonging the service life of the battery. At the same time, within the safety constraint of the battery, the optimal charging current is solved through the optimization
algorithm, the safe charging power is maximized, the charging efficiency is greatly improved, and the charging time is significantly shortened. In addition, through real-time monitoring of the battery state, the present application can also early identify the battery abnormalities, provide data support for
preventive maintenance, and improve the charging safety of the
direct current screen
system.