混合动力电动汽车发动机转速智能控制系统设计
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(贵阳市交通技工学校,贵阳 550025)

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李志坚(1971-),男,贵州贵阳人,高级讲师,主要从事汽车电子控制、汽车自动变速器故障研究、汽车维修专业职业教育人才培养模式方向的研究。[FQ)]

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Design of Intelligent Control System for Hybrid Electric Vehicle Engine Speed
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(Traffic Vocational School of Guiyang City, Guiyang 550002,China)

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    摘要:

    发动机是混合动力电动汽车动力设备的心脏,为了保证混合动力电动汽车可以快速稳定地运行,需要对其转速智能控制系统进行设计;使用当前控制系统智能控制混合动力电动汽车发动机转速时,无法快速检测到发动机转速,难以达到最佳的智能控制结果;为此,基于软切换提出Bang Bang-神经网络PID的混合动力电动汽车发动机转速智能控制系统设计方法;混合动力电动汽车发动机转速智能控制系统以Mcs-51系列8751单片机为核心系统,检测混合动力电动汽车发动机转速的数字信号,同时控制D/A模拟信号的输出,并在LED显示器上显示发动机转速数字信号,以PWM调制器放大混合动力电动汽车启动时发动机产生的PWM波,将放大后的PWM波供给电力发动机,再以分频填充脉冲装置测量混合动力电动汽车发动机转速,通过Bang Bang-神经网络PID算法计算出混合动力电动汽车发动机转速误差,达到实时控制混合动力电动汽车发动机转速的效果;实验仿真证明,所提设计方法保证了发动机转速的快速性和平稳性。

    Abstract:

    The engine is the heart of the hybrid electric vehicle power equipment. In order to ensure the fast and stable operation of hybrid electric vehicle, it is necessary to design the intelligent control system. When the current control system is used to control the engine speed of hybrid electric vehicle, the engine speed can not be detected quickly, so it is difficult to achieve the best results. Therefore, the design method of hybrid electric vehicle engine speed intelligent control system of soft switching Bang Bang is proposed based on PID neural network. Hybrid electric vehicle engine speed intelligent control system based on the Mcs 51 series 8751 microcontroller as the core digital signal detection system of hybrid electric vehicle engine speed, and control the output of D/A analog signal, digital signal and display the engine speed in the LED display, the PWM modulator amplifier to generate hybrid electric vehicle engine startup PWM wave, PWM wave power supply engine amplified by frequency pulse filling, measuring device of hybrid electric vehicle engine speed by Bang Bang neural network PID algorithm to calculate the hybrid electric vehicle engine speed error, to achieve the effect of real-time control of hybrid electric vehicle engine speed. The simulation results show that the proposed design method can ensure the engine speed and stability.

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引用本文

李志坚.混合动力电动汽车发动机转速智能控制系统设计计算机测量与控制[J].,2017,25(8):84-87.

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  • 收稿日期:2017-04-10
  • 最后修改日期:2017-04-26
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  • 在线发布日期: 2017-09-08
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