摘要
为了解决汽车空调系统仿真涉及多领域耦合的问题,本文运用Dymola仿真非因果性建模、层级化建模、多领域建模等特点,搭建了一套汽车空调系统仿真模型,与实验数据对比分析了不同极端工况及多参数变化下仿真计算的准确性,利用仿真模型定量分析了不同因素对系统性能的影响。结果表明:仿真计算得到的换热性能与对应实验值之间的平均误差在±7%以内;车内环境温度每升高1℃、蒸发器进风风量每增加50 m3/h、车外换热器进风风速每增加0.5 m/s或车外环境温度每降低1℃,制冷量分别提高了2.4%、1.9%、0.4%、0.8%;系统能效比分别提高了1.6%、6.3%、4.0%和3.1%。
To solve the problem of multi-domain coupling involved in the simulation of automobile air condi-tioning system, this paper was used Dymola simulation non-causal modeling, hierarchical modeling, multi-domain modeling and other characteristics to build a set of automobile air conditioning sys-tem simulation model. Compared with the experimental data, the accuracy of the simulation calcu-lation under different extreme conditions and multi-parameter change coverage was analyzed, and the influence of different factors on the system performance was quantitatively analyzed by using the simulation model. The results showed that the average error between the simulated heat transfer performance and the corresponding experimental value was within ±7%. The cooling ca-pacity increased by 2.4%, 1.9%, 0.4%, and 0.8% respectively, when the in-vehicle ambient tem-perature rose by 1˚C, the evaporator air flow rate increased by 50 m3/h, the external heat exchang-er air velocity increased by 0.5 m/s or the external ambient temperature decreased by 1˚C. Addi-tionally, the system coefficient of performance is improved by 1.6%, 6.3%, 4.0%, and 3.1% respec-tively.
出处
《建模与仿真》
2023年第3期3251-3260,共10页
Modeling and Simulation
