| In order to cope with increasingly serious environmental problems,energy crisis and increasingly stringent international mandatory laws,the development of new energy vessels,which own better economic,emission,maneuverability and other advantages,is the future naval architecture development direction.Energy storage system is the key component of new energy vessels.A hybrid energy storage system(HESS)can effectively reduce the design redundancy of the energy storage system,improve the fuel economy of power system,energy conversion efficiency of energy storage system,and extend the life cycle of energy storage system.In this thesis,a HESS with Lithium Iron Phosphate power batteryLithium Titanate Oxide power battery is designed for an icebreaker.A battery management system for HESS is designed.An energy management strategy of the HESS based on model prediction and fuzzy rules is proposed.Multi-objective optimization based on adaptive genetic algorithm is used to solve the problem of power distribution among diesel generators,the energy battery pack and the power battery pack,and finally a hardware in the loop test for the HESS is carried out.Firstly,the electrical characteristics of lithium ion battery cells are tested.The first-order Thevenin equivalent circuit model and the semi-empirical capacity attenuation model are established.The energy loss mechanism of the HESS is analyzed and a simplified energy loss model is established.Secondly,the adaptive dual extended kalman filter joint estimation algorithm is proposed to high-precisely estimate the cell state of charge and identify time-varying cell parameter.LM algorithm is used to identify the inconsistency of cells in the battery pack.A heat generation model is proposed to calculate the average temperature of the battery pack.The battery pack state of power capability is estimated by dynamic multi-constraint method.Then,the signal characteristic of icebreaker HESS is analyzed,and the selection of sensor and actuator is determined according to the operation condition of icebreaker.The electronic controller unit of the battery management system is designed,and partial battery management system functionalities are tested.Finally,a model prediction and fuzzy control based energy management strategy(EMS)is proposed to supervise the designed HESS.The membership function of the fuzzy controller is optimized by the adaptive genetic algorithm,to realize the multi-objective optimization of the proposed EMS.By simulating the ice-breaking operating condition of the icebreaker,the benefits of the optimized EMS are quantitativly evaluated.A hardware in loop test bench for the designed HESS is built to verify the real-time performance and the efficiency of the optimized EMS. |
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