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A Fuzzy Optimization Approach Designed for Calibrating the Fuel Injection Parameters of Turbocharged Diesel Engine

机译:一种模糊优化方法,用于校准涡轮增压柴油发动机燃油喷射参数

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In order to enhance the performance of turbocharged diesel engine working at plateau, a fuzzy optimization approach for calibrating the fuel injection parameters is proposed. Simulation model of a turbocharged intercooler diesel engine is built on the GT-POWER platform. Through analyzing the effect of fuel injection parameters on surge, turbine speed and turbine inlet temperature, the fuzzy optimization algorithm is set up on MATLAB/simulink platform. Fuzzy rules are developed according to the relationship between injection parameters and constraint conditions. Then the co-simulation between MATLAB and GT-POWER with four different initial conditions are carried out at the operation point of 4000m, 2100 r·min~(-1). Simulation results show that the fuzzy optimization algorithm is feasible. No matter where the initial point locates, the result can converge to the optimum point. Besides, the rate power of the diesel engine is improved by 21% compared to that of the original, and brake specific fuel consumption declines 10% compared to that of the original.
机译:为了提高涡轮增压柴油发动机工作在高原性能,用于校准燃油喷射参数的模糊优化方法提出。涡轮增压中冷柴油发动机的仿真模型是建立在GT-POWER平台上。通过分析对浪涌,涡轮速度和涡轮机入口温度的燃料喷射参数的影响,所述模糊优化算法建立Matlab / Simulink的平台。模糊规则是根据注射参数和约束条件之间的关系的发展。然后MATLAB和GT-POWER之间的协同仿真具有四个不同的初始条件在4000米的运转点进行,2100·R·分钟〜(-1)。仿真结果表明,模糊优化算法是可行的。无论身在何处的初始点所在,结果会收敛到最佳点。此外,在柴油发动机的速率功率相比,在原始的21%的改善,并与原始的制动比油耗下降10%。

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