I’m not sure what you expect when you don’t have any constraints on the other symbols used in V. No matter what value you try for phi, md and mu could dominate and make the result arbitrarily large or small.
Minimize[{Cos[x + a/2], {0 <= x <= 2\[Pi], 0 < a < 1}}, x]
not work.
There are similar question on MSE: [1][2]
The answers suggest add a to variables of minimization:
Minimize[{Cos[a/2 + x], {0 <= x <= 2\[Pi], 0 < a < 1}}, {a, x}]
Out: {-1, {a -> 9/34, x -> 1/68 (-9 + 68 \[Pi])}}
But this is bad cheating, cause we need parametric solution!
In docs there is example with fully parametric solution for ax^2+b x + c.
I’m going to post revisited question on MSE and query for Support team.
Well, we can use mathematical analysis.
If we want to find \min of -2 \cdot f then we need to find \max of f.
So it is root of first derivative with negative second derivative.
I rewrote your expression a little for simplicity, so we try this:
Clear[a, b, t, V];
V[x_] := a Cos[x + t/2] + b Cos[x - t/2];
And if we run next code, in 15-20 sec (on average laptop) we get big dump,
but with meaningful and useful results: