To address the issue of the increase of unsprung mass and suspension parameters needing adjustment after upgrading a central motor electric vehicle to a wheel hub motor car, a half-car passive suspension model was established in MATLAB/Simulink. The spring stiffness and damping coefficients of the front and rear suspensions were taken as independent variables, while the root mean square values of the vehicle’s center of gravity acceleration, pitch angle acceleration, suspension deflection, and tire dynamic load were considered as optimization objectives. The grey wolf optimization algorithm was employed to search for the optimal stiffness and damping parameters. The simulation results show that after optimization, the handling stability of the suspension remains within a reasonable range, while the comfort level is improved by 12.73%.

Gray wolf algorithm  /  Wheel hub motor  /  Suspension performance optimization  /  Stiffness  /  Damping