Abstract: Stresses of the press-fit multi-rim hybrid composite flywheel rotor are calculated based on the plane stress theory, and the possible failures of the press-fit multi-rim rotor are pointed out. Taking advantages of augmented Lagrange multiplier(ALM) method, particle swarm optimization(PSO) algorithm and normal gradient method respectively, a two-stage augmented Lagrange particle swarm optimization algorithm(TS-ALPSO) which can solve nonlinear optimization problems with constraints and has global convergence and higher computational efficiency is proposed. Using this TS-ALPSO algorithm, cost optimization of multi-rim hybrid composite flywheel rotor is researched, taking radius of each rim, interferences and rotating speed as the design variables. For a certain material price, the influences of material sequence, rims number and interferences on the energy storage performance of flywheel rotor are analyzed. And for the continuously changing material prices, variations of radius of each rim, interferences and rotating speed are revealed for the composite rotor when its energy stored per unit cost reaches the maximum.

Key words: Composites, Cost optimization, Flywheel rotor, Particle swarm optimization