The power profile of the energy storage batteries in a wave energy converter is variegated and time-consuming, so it is very difficult to be implemented in the laboratory for aging study. This paper reports a simplification method, the main idea is to divide the power sequence into several segments, each of which is replaced by a representative power, while the cumulative probability of the simplified power profile remains the same distribution as the original. NSGA-II algorithm is utilized to obtain the optimal solution of the segmentation parameters. The schedule of an accelerated aging test is finally obtained. It is simpler and easier to be implemented on the battery tester in laboratory.