We propose a general computational framework for optimizing model-dependent
parameters in quantum batteries (QB). We apply this method to two different
charging scenarios in the micromaser QB and we discover a new charging protocol
for stabilizing the battery in upper-laying Hilbert space chambers in a
controlled and automatic way. This protocol is found to be stable and robust,
and it leads to an improved charging efficiency in micromaser QBs. Moreover,
our optimization framework is highly versatile and efficient, holding great
promise for the advancement of QB technologies at all scales.Comment: 15 pages, 7 figure