基于数字孪生的船用柴油机燃烧模型的构建与验证
Construction and verification of combustion model of marine diesel engine based on digital twin
船用柴油机燃烧模型的构建是对处于长时间运行状态的发动机的性能优化和健康管理的关键手段。本文基于Wiebe燃烧模型结合深度学习神经网络提出了基于混合驱动的发动机零维预测模型构建方案，用于实现发动机的同步仿真。首先对通过试验获得的缸压曲线进行Wiebe参数求解，进而利用长短时记忆神经网络（LSTM）建立运行参数与Wiebe参数的辨识模型，然后将Wiebe方程与深度学习神经网络相结合构建出零维预测燃烧模型，并对预测性能进行非校核工况的泛化性分析。基于数…查看全部>>
The construction of marine diesel engine combustion model is a key means for performance optimization and health management of the engine in a long-term running state. Based on the Wiebe combustion model combined with the deep learning neural network, this paper proposes a zero-dimensional engine prediction model construction scheme based on hybrid drive, which is used to realize the synchronous simulation of the engine. First, solve the Wiebe parameters for…查看全部>>
评论