An ECMS for Multi-Objective Energy Management Strategy of Parallel Diesel Electric Hybrid Ship Based on Ant Colony Optimization Algorithm

In order to reduce fuel consumption and the deviation between final battery state-of-charge (SOC) value target at same time, a novel double-layer multi-objective optimization method is proposed, which adopts an improved ant colony (ACO) algorithm equivalent minimization strategy (ECMS) considering mode switching. The proposed two-layer structure. inner layer, ECMS switching was adopted optimize working point, so as achieve goal of reducing consumption. outer aiming shortcomings traditional ACO, heuristic factor adaptive volatilization were introduced. An ACO factor, SOC value. verify effectiveness algorithm, it compared with rule-based (RB) strategy. simulation results show that energy management combining can whole ship control power.