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To determine the optimal injector injection pressure under different engine operating conditions, it is necessary to comprehensively consider the impact of changes in engine speed, load, temperature and other operating conditions on the injection pressure through engine testing, numerical simulation and empirical formula calculation. The following is a specific analysis:

Engine test
Bench test: Various sensors such as pressure sensors, temperature sensors, speed sensors, etc. are installed on the engine bench to accurately measure various operating parameters of the engine. By changing the injection pressure of the injector, the power, torque, fuel consumption rate, emissions and other performance indicators of the engine under different working conditions are measured at the same time, and the relationship curve between performance indicators and injection pressure is drawn.

Working condition simulation: Simulate different actual operating conditions, such as idling, low-speed driving, high-speed driving, rapid acceleration, climbing, etc. For each working condition, the injection pressure value that makes the engine performance reach the best is determined through experiments. For example, under idling conditions, the engine load is small, and a lower injection pressure is required to maintain stable combustion; while under high-speed driving or rapid acceleration conditions, the engine requires a larger injection amount and a higher injection pressure to provide sufficient power.

Numerical simulation
Building the model: Using professional engine simulation software, build a three-dimensional model of the engine, including combustion chambers, intake ducts, injectors and other components. Consider the physical and chemical processes such as fuel injection, atomization, evaporation, mixing and combustion in the model, and simulate the operation of the engine under different injection pressures by solving the relevant fluid mechanics, heat transfer and chemical reaction equations.

Parameter adjustment and optimization: According to the actual engine operating conditions, input the corresponding parameters, such as speed, load, intake temperature and pressure, and then adjust the injection pressure parameters in the simulation software to observe the changes in engine performance indicators. Through multiple iterative calculations, find the injection pressure value that makes the simulation results reach the optimal value. Numerical simulation can quickly and efficiently evaluate a large number of different injection pressure schemes, provide reference and guidance for the test, and reduce the workload of the test.

Based on empirical formulas and data fitting
Empirical formulas: Based on the basic principles of the engine and long-term practical experience, some empirical formulas are established to estimate the optimal injection pressure under different working conditions. For example, based on the engine's displacement, compression ratio, intake volume and other parameters, combined with the characteristics of the fuel, a rough injection pressure calculation formula can be derived. These empirical formulas are usually verified within a certain range and on specific engine types, and have certain reference value, but the accuracy may be relatively low.

Data fitting: Collect a large amount of engine test data, including injection pressure and corresponding performance indicators under different operating conditions. Use data fitting methods, such as the least squares method, to establish a mathematical model between injection pressure and engine operating conditions. By analyzing and solving the model, the injection pressure value that optimizes the performance indicators under given operating conditions can be obtained. This method relies on a large amount of test data. The richer the data, the more accurate the fitted model is, and it can better reflect the actual operating characteristics of the engine.

In practical applications, the above methods are usually used in combination to verify and complement each other to more accurately determine the optimal injector injection pressure under different engine operating conditions. At the same time, factors such as engine reliability, durability and cost need to be considered to reasonably optimize and adjust the injection pressure.