The invention relates to the technical field of ship power, in particular to a main and auxiliary power conversion control method and system for a main and auxiliary power hybrid ship, and the method comprises the following steps: predicting the power demand of the ship in future time based on multi-source information in the ship navigation process; based on the predicted power demand, establishing a power dynamic optimization model, and adjusting an optimal power conversion scheme in real time; the dynamic optimization model can continuously optimize a control strategy based on historical operation data; multi-source information in the ship navigation process is collected, including navigation states, meteorological sea conditions and real-time performance parameters of a main engine and an auxiliary engine, and a deep learning algorithm or a machine learning algorithm (especially a long short-term memory (LSTM) network) is adopted to accurately predict the power demand. Therefore, the operation efficiency of the power system can be improved, and unnecessary energy consumption can be reduced.
本发明涉及船舶动力技术领域,具体为一种主辅动力混合船舶主辅动力转换控制方法及系统,包括以下步骤:基于船舶航行过程中的多源信息,预测船舶未来时间内的动力需求;基于预测的动力需求,建立动力动态优化模型,实时调整最佳动力转换方案;所述动力动态优化模型可基于历史运行数据持续优化控制策略;通过收集船舶航行过程中的多源信息,包括航行状态、气象海况以及主辅发动机的实时性能参数,采用深度学习算法或机器学习算法(特别是长短期记忆网络LSTM)进行动力需求的精准预测。这有助于提高动力系统的运行效率,减少不必要的能耗。
Main and auxiliary power conversion control method and system for main and auxiliary power hybrid ship
一种主辅动力混合船舶主辅动力转换控制方法及系统
25.04.2025
Patent
Elektronische Ressource
Chinesisch
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