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电动汽车热泵空调模糊控制的模拟研究

Simulation Research on Fuzzy Control of Heat Pump Air-Conditioning Systems for Electric Vehicles

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【作者】 郭冲魏名山张志强王智兴

【Author】 Guo Chong;Wei Mingshan;Zhang Zhiqiang;Wang Zhixing;Beijing Institute of Technology;

【机构】 北京理工大学

【摘要】 利用AMESim建立了电动汽车热泵空调模型,采用Matlab\Simulink建立了直流电动机和模糊控制器模型,将两种模型耦合在一起进行了车内温度控制的联合仿真研究。利用联合仿真模型对运用模糊控制与压缩机开关控制的空调性能进行了对比,结果表明,运用模糊控制,车内温度波动小,温度稳定后压缩机消耗功率降低了14.53%,且系统COP值保持在1.8。设计了自调整模糊控制器,采用该控制器加快了热泵系统响应,减少了热泵系统不同工况下的稳态误差,增强了模糊控制器的适应性。

【Abstract】 An electric vehicle heat pump air-conditioning(HPAC) system model is established by AMESim, and the DC motor model and fuzzy controller are established by Matlab/Simulink, then the two models are coupled together for a joint simulation research of interior temperature control. The AC performance applying the fuzzy or the on- off control method of compressor is compared. The results show that, with the fuzzy control, interior temperature fluctuates slightly, and the power consumption of compressor is reduced by 14.53% and the coefficient of performance(COP) is maintained at 1.8,when the compartment temperature is stable. An adaptive fuzzy controller is designed, which speeds up response of the heat pump system, reduces the steady-state error of the heat pump system at different operating conditions, and enhances the adaptability of the fuzzy controller.

  • 【文献出处】 汽车技术 ,Automobile Technology , 编辑部邮箱 ,2016年10期
  • 【分类号】U469.72;U463.851
  • 【被引频次】6
  • 【下载频次】471
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