基于模型預(yù)測(cè)控制的電動(dòng)船舶復(fù)合電源能量管理策略
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中圖分類號(hào)：U664.1；U674.925 文獻(xiàn)標(biāo)志碼：A
Abstract： To solve the problem that electric ships with bateries as a single power supply can't adapt to complex operating conditions，a composite power supply system structure and an energy management strategy with lithium batteries as the main power supply and ultracapacitors as the auxiliary power supply are proposed. A composite power electric ship model is established，and an energy management strategy based on model predictive control is formulated.A radial basis function neural network is used to predict future power demands； aiming to minimize the energy lossof the composite power supply system，a dynamic programming algorithm is used to optimize the output power of ultracapacitors in the prediction interval. The energy management strategy is simulated on MATLAB/Simulink platform. The results show that the energy management strategy based on model predictive control has good real-time performance， and its energy loss is 14.57% lower than that of the rule-based energy management strategy.
Key words： composite power supply； energy management； model predictive control； neural networl
0 引言
傳統(tǒng)船舶主要以柴油發(fā)動(dòng)機(jī)為動(dòng)力源，在消耗石油的同時(shí)還排放了大量溫室氣體。（剩余9525字）