In order to improving operation performance of electric construction machinery and accelerate the dev elopment of electrification of construction machinery and reduce carbon emissions from the Non-road mobile machinery. An optimization design method for powertrain of electric construction machinery considering manufacturing cost was proposed. firstly, the pure electric wheel loader was selected as the object, and the fuzzy TOPSIS was used to select the appropriate optimization components. Then the operating costs under customer demand conditions, the power performance considering loader turnaround conditions, and narrowly defined manufacturing costs were optimized with the help of an improved multi-objective jellyfish search algorithm. Finally, the result was analyzed and verified by platform based on MATLAB/Simulink. And showed that the improved algorithm is superior than others; The working efficiency of the motor increased by 0.214%, 0.190%, 0.150% in different condition; the acceleration time from 0 to maximum speed decreased by1.798s, 2.231s, 1.006s；Manufacturing cost decreased by 3.129%, 5.043%, 3.946%.the power performance and comfortability were improved.