Energy distribution strategy of power split marine hybrid energy storage propulsion system

Abstract

The marine industry faces significant challenges, including the energy crisis and environmental pollution. In response, marine hybrid technology is regarded as an effective solution to address these issues. However, the overall performance of such systems is primarily governed by the energy management strategy. Therefore, this research proposes a marine hybrid energy management strategy (EMS) based on an adaptive migration butterfly optimization algorithm (AMBOA). Firstly, the performance index function is extended by adding a weighting term that suppresses the rate of change of the output power of the natural gas engine based on the Equivalent Consumption Minimization Strategy (ECMS), as well as maintaining the SOC penalty function to operate the powertrain in a quasi-static mode. Afterwards, Particle swarm algorithm is introduced to solve the problem that the butterfly optimisation algorithm is prone to fall into local optimum, and then the adaptive migration butterfly optimisation algorithm is formulated. Finally, the effectiveness of the proposed strategy is verified by the simulation platform and test bench. The results revealed that AMBOA-EMS effectively suppressed the frequent fluctuations of natural gas engine power compared to ECMS-EMS on the test stand, while saving 5.59 % of fuel while ensuring the power.