Parameter Identification of Hybrid Electric Ship Transmission System Based on Particle Swarm Optimization Algorithm

In the face of energy crisis and environmental pollution problems, hybrid ships with their high energy efficiency and low emission characteristics have become an innovative solution in the field of Marine transportation. The accurate identification of transmission system parameters is the key to optimize its dynamic performance and improve its energy efficiency. In this study, particle swarm optimization (PSO) algorithm is used to identify four key parameters of the hybrid ship transmission system, namely, the equivalent moment of inertia J
1
of the hybrid power source, the equivalent moment of inertia J
2
of the ship propeller, the equivalent low-speed shaft stiffness coefficient A
stif
and the equivalent low-speed shaft damping coefficient B
damp
. In order to deal with the complexity of the system, the transmission system is simplified into a two-mass block model, and the corresponding mathematical model is established, and the parameter identification problem is transformed into an optimization problem.