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Studies of Modeling with Neural Network for Engine in Electric drive

机译:电驱动发动机神经网络建模研究

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摘要

Electric drive is widely assumed to be the development direction of next-generation combat vehicles. However, the working fashion and control method of engine in electric drive is very different from those in mechanical transmission. To make it easy to design the control strategy and control method for engine, this paper built the simulation model and studied the optimum fuel consumption characteristics of an engine in electric drive with the infinite approaching ability of neural network. What was done in this paper was applied to a simulation plat that was established for electric drive in armored tracked vehicle. Simulation results proved that models built with neural network have high precision and run efficiency.
机译:人们普遍认为电驱动是下一代作战车辆的发展方向。但是,电驱动中发动机的工作方式和控制方法与机械传动中的有很大不同。为了便于设计发动机的控制策略和控制方法,本文建立了仿真模型,研究了具有神经网络无限逼近能力的电驱动发动机的最佳油耗特性。本文所做的工作被应用于为装甲履带车辆的电力驱动建立的仿真平台。仿真结果表明,利用神经网络建立的模型具有较高的精度和运行效率。

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