The invention discloses a multi-target optimal design method for an electric vehicle switch reluctance motor system. According to the method, the rated voltage, rated speed and rated power of a neededswitch reluctance motor are obtained through calculation according to design indexes of a low-speed electric vehicle; a value range of ontology structure parameters of the switch reluctance motor isdesigned through rated parameters; through a Taguchi-chicken fusion algorithm in combination with the design indexes (maximum velocity v, in-situ acceleration time t<0>, overtaking acceleration time t<1> and maximum climbing gradient C) of a propelling system of the electric vehicle and a torque ripple coefficient beta of the motor, a simulation system of the propelling system of the low-speed electric vehicle is set up through a balance equation of the low-speed electric vehicle and ontology design of the switch reluctance motor; and MATLAB, Python, finite element analysis softwareFLUX and other software are utilized to perform multi-target optimal design on the propelling system of the low-speed electric vehicle. Through the method, quick and accurate multi-target optimal design on the propelling system of the switch reluctance motor of the low-speed electric vehicle can be realized, and the method has good engineering application value.