重庆理工大学学报（自然科学）

重庆理工大学学报（自然科学） ›› 2023, Vol. 37 ›› Issue (2): 113-122.doi: 10.3969/j.issn.1674-8425(z).2023.02.013

• “新能源汽车能量管理技术研究”专栏 • 上一篇    下一篇

纯电动汽车热泵空调系统控制策略

潘 新，于 萍，田 杰   

  1. １．南京林业大学 汽车与交通工程学院，南京 ２１００３４； ２．福特汽车工程研究南京有限公司，南京 ２１００００
  • 出版日期:2023-03-21 发布日期:2023-03-21
  • 作者简介:潘新，男，硕士研究生，主要从事汽车系统动力学及控制研究，Ｅｍａｉｌ：ｐｘ＠ｎｊｆｕ．ｅｄｕ．ｃｎ；通讯作者 田杰，女，博士， 副教授，主要从事汽车系统动力学及控制研究，Ｅｍａｉｌ：ｎｊｔｉａｎｊｉｅ＠１６３．ｃｏｍ。

Research on the control strategy of the heat pump AC system for pure electric vehicles

  • Online:2023-03-21 Published:2023-03-21

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摘要： 为保持纯电动汽车车室环境的热舒适性并提高能量使用效率，本文对纯电动汽车 热泵空调系统的控制策略进行了研究。利用 ＡＭＥＳｉｍ搭建了纯电动汽车热泵空调系统车室仿 真平台，设计了开关控制策略、ＰＩＤ控制策略和模糊控制策略。采用 Ｍａｔｌａｂ／Ｓｉｍｕｌｉｎｋ分别对 ３种控制策略进行仿真。在模糊控制策略的基础上加入了前馈控制环节并进行仿真。结果表 明：开关控制策略、ＰＩＤ控制策略和模糊控制策略下 ＣＯＰ值分别约为 １．５０、１．８０和 １．８５；引入前 馈控制环节前温度波动约为 ０．５℃，引入后无明显变化。在系统的动态响应和能效比方面模糊 控制策略的控制性能优于开关控制和 ＰＩＤ控制；加入前馈控制环节后的模糊控制策略有效地提 高了系统在外部环境变化时的系统动态响应，降低了车室温度的波动。

关键词: 热泵空调, 控制策略, 压缩机开关控制, ＰＩＤ控制, 模糊控制, 仿真分析

Abstract: In order to maintain thermal comfort of the cabin environment of a pure electric vehicle and improve efficiency of energy use, this paper studies the control strategy of the heat pump air conditioning system for pure electric vehicles. AMESim is used to build a cabin simulation platform of the pure electric vehicle heat pump air conditioning system, and three control strategies are designed: compressor on/off control strategy, PID control strategy and fuzzy control strategy. Matlab/Simulink is used to simulate the three control strategies respectively, and then feedforward control is added and simulated on the basis of the fuzzy control strategy. The results show that the COP values under the compressor on/off control strategy, the PID control strategy and the fuzzy control strategy are about 1.5, 1.8 and 1.85 respectively; the temperature fluctuation is about 0.5 ℃ before the introduction of feedforward control, and there is no significant change after the introduction. The control performance of the fuzzy control strategy is better than that of the compressor on/off control and the PID control in terms of dynamic response and energy efficiency ratio of the system; after adding the feedforward control, the fuzzy control strategy effectively improves the dynamic response of the system when the external environment changes, and reduces the fluctuation of the cabin temperature.

中图分类号: 

  • U463.61