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Air/Fuel Ratio Optimization for an S.I. Engine using Neural Networks

机译:使用神经网络优化S.I.发动机的空燃比

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摘要

Existing electronic engine control (EEC) system, usually control air/fuel ratio and spark timing under differentrnoperating condition. In this paper, a method use neural network in optimization air/fuel ratio for a S.I engine is described.rnThe investigation has addressed the definitions of a suitable back -propagation network, the engine static bench test to getrnthe data for neural network training, and the definitions of objective function for the air/fuel ratio optimization underrndifferent operation condition. The results presented demonstrate that a small number of test data are sufficient to optimizernthe air/fuel ratio under different engine rotate speed and throttle position. By applying the neural network, the result ofrnair/fuel optimization for a CA6102 automotive gasoline engine is proposed, and the engine performance is improved.
机译:现有的电子发动机控制(EEC)系统通常在不同的操作条件下控制空燃比和火花正时。本文介绍了一种使用神经网络优化SI发动机空燃比的方法。研究已经提出了合适的反向传播网络的定义,发动机静态工作台测试以获取用于神经网络训练的数据,以及在不同工况下优化空燃比的目标函数定义给出的结果表明,少量测试数据足以优化不同发动机转速和节气门位置下的空燃比。通过应用神经网络,提出了CA6102汽车汽油机的空燃/燃油优化结果,提高了发动机性能。

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