Abstract: The performance of the compressor has a significant impact on the performance of the turbocharged diesel engine, which is also a major difficulty and focus of the simulation. The thermodynamic model of the compressor is clear in the principle, simple in the extensibility, but difficult in the acquirement of the model parameters. To overcome this difficulty, a method for optimizing and modeling the compressor characteristic parameters based on the particle swarm optimization (PSO) is proposed according to the experimental charts. Using the obtained characteristic chart of the compressor within a limited range, several parameters are selected as the optimization parameters of the model, including the inlet and outlet diameters, the impeller inlet angle, the diffuser inlet angle, the blade back angle, and the impeller outlet width. The simulation results of the optimized thermodynamic model are compared with the actual characteristic charts. The results show that the optimized thermodynamic model matches well with the experimental charts, expanding the applicable range of the operating conditions for the compressor model.

Key words: compressor, thermodynamic model, particle swarm optimization (PSO), modeling method

摘要： 压气机性能对涡轮增压柴油机性能影响显著,也是仿真计算的难点和重点。压气机热力学模型虽原理清晰、扩展性好,但模型参数获取比较困难。为克服这一难题,该文提出利用实验图谱,基于粒子群算法对压气机特征参数进行优化建模的方法。利用所获取压气机有限范围内的特性图谱,选取多个参数作为建模的优化参数,包括进出口直径、叶轮入口角、扩压器入口角、叶片后弯角与叶轮出口宽度等,将优化后热力学模型计算结果与实际特性图谱进行比较。结果表明：该方法所建立的热力学模型能够较好地匹配实验图谱,扩大了压气机模型的适用工况范围。

关键词: 压气机, 热力学模型, 粒子群算法, 建模方法