Artificial Fish Swarm Algorithm Based Electric Hybrid Power System

Abstract

Hybrid vehicles, which refer to vehicles with two power sources, are important for improving the fuel economy, power and reducing pollutant emissions of vehicles. In order to solve the shortcomings of the existing electric hybrid system research, this paper briefly discusses the development environment and hybrid vehicle parameters of the electric hybrid system based on the artificial fish swarm algorithm, based on the discussion of the type of electric hybrid system and the artificial fish swarm algorithm. And the design of the electric hybrid power system energy control model and the system architecture of the artificial fish swarm algorithm are discussed, and finally the electric hybrid power system built by incorporating the artificial fish swarm algorithm and the improved artificial fish swarm algorithm are experimentally analyzed. The experimental data show that the simulated annealing global artificial fish swarm algorithm consumes less than 3598 energy on average for the electric hybrid power system, which is lower than the artificial fish swarm algorithm and the global artificial fish swarm algorithm. Therefore, it is verified that the simulated annealing global artificial fish swarm algorithm has good control effect on the energy of the electric hybrid power system.