The invention provides a segmentation self-adapting
hill climbing method and a
system thereof applied for tracing maximum power of a photovoltaic
cell. The method comprises: finding the zone of the current power by partitioning the output power of the photovoltaic
cell and comparing
power difference of two adjacent moments with a set value; then, adjusting
duty cycle to measure the power of the next moment until the maximum power point is found. The
system of the invention comprises a photovoltaic
cell, a DC /
DC converter and a plumbic acid storage battery which are connected by circuits in sequence, wherein, a circuit between the DC /
DC converter and the plumbic acid storage battery is provided with a
voltage detecting module and a current detecting module, the output ends of the
voltage detecting module and the current detecting module are respectively connected with a
microprocessor, and the output end of the
microprocessor is connected with the DC /
DC converter via an isolation /
driving circuit. The invention quickens the tracing speed of the maximum power point, improves the anti-interference performance of the
system, quickens the self-optimizing process of the maximum power point of the system and decreases the oscillation of the system at the maximum power point.