This invention relates to the field of
energy management technology, and in particular to a method and apparatus for
energy management and adaptive
power consumption control of unmanned systems. The method acquires multi-source operating data and real-time load location, extracts target energy operating data, collects dynamic
power consumption fluctuation data for the next cycle based on the initial
power consumption allocation scheme, and optimizes and generates an updated power consumption scheme based on the target data to achieve dynamic
adaptation. Based on the current
energy storage status, target data, and load priority, it calculates the extreme power supply range and determines the target power-protected load set to ensure priority power supply to critical loads. When it is determined that the
system is about to run out of energy, it intelligently generates a target load-
cutting sequence by comprehensively considering real-time operating conditions, priorities, and
energy storage status, and executes orderly graded power outages, improving energy utilization efficiency. Under extreme operating conditions, it can scientifically plan power protection and load-
cutting strategies, effectively avoiding disorderly power outages, and significantly enhancing the power supply reliability, safety, and intelligence level of unmanned energy systems.