The projection test has been widely researched and applied as an effective path to solve the high-dimensional mean vector test problem. In this paper, for the problem of compensating the computational difficulty of the power loss method in the high-dimensional case due to the data splitting procedure, we propose a method called power enhanced projection test (PPT), which adds an extra power-enhancement term to the original projection test statistic to make up for the lost power, and thus does not have to estimate the optimal projection method multiple times. Theoretically we show that this term is asymptotically zero under the null hypothesis and therefore does not affect the control of Type I errors. The conclusions are verified in numerical studies.