The invention discloses a particle swarm algorithm based photovoltaic cell panel maximum-power tracking method. The method includes: firstly, setting initial power values to determine initial positions of particle positions and the number of particles; then taking the power values corresponding to the initial positions of the particles as the optimal particle values corresponding to the particles; finally, selecting out the maximum values as optimal swarm values of particle swarms by comparison of the optimal particle values and outputting the optimal swarm values. Output voltage of a photovoltaic cell plate can be acquired according to the particle swarm algorithm, duty ratio of PWM (pulse-width modulation) is taken as updating speed of the particles, and the output voltage of the cell plate is taken as objective functions used for judging the particle positions; the updating speed of the particles is taken as output to perform PWM on a switching tube of a Boost circuit to acquire the updated particle positions, and directions are given for updating of the particles with the selected optimal values; the optimal values of the particles are searched, and an MPPT (maximum power point tracking) objective is realized. The tracking method is high in intelligent degree and tracking precision, and the cell plate capable of tracking the maximum power value points without falling into locality is the optimal.