Simulation prediction method for PEMS emission of whole vehicle based on universal characteristics of engine

Abstract

The invention relates to a simulation prediction method for PEMS emission of a whole vehicle based on universal characteristics of an engine. The method comprise: carrying out coupling control on a CRUISE whole vehicle model, a postprocessor BOOST chemical reaction model, a urea injection control model, an engine pedestal and a whole vehicle postprocessor temperature difference model; constructinga PEMS road spectrum; exporting rotating speed torque information and actual environment information of the engine; performing interpolation processing to obtain original exhaust gas components, exhaust gas flow and exhaust gas temperature initial values of the PEMS road spectrum engine; carrying out transfer function processing to obtain optimized values of original exhaust gas components and exhaust gas flow of the engine; correcting the processor temperature; and calculating exhaust gas components and exhaust gas flow data at the outlet of the SCR catalyst, and the ammonia storage capacityand the urea injection capacity of the SCR catalyst. According to the method, the engine emission development test cost can be reduced, the project development period can be shortened, and the simulation prediction speed and precision are improved.

Description

technical field [0001] The invention belongs to the technical field of vehicle emission pollutant testing, and relates to a simulation prediction method for off-line prediction of actual road vehicle PEMS emission based on the emission results of universal characteristics of the engine. Background technique [0002] With the deterioration of my country's atmospheric environment and the increasingly stringent emission regulations, heavy-duty vehicles need to pass the portable emission measurement system (PEMS) for emission detection based on actual road driving, which is different from the engine bench test. , The actual road emission test process takes into account the factors that affect the actual driving emission results, including driving conditions, traffic conditions, driving style, ambient temperature, humidity, and altitude, and can more truly reflect the emission level of the vehicle during actual use. [0003] The vehicle PEMS emission test usually selects the targe...

AI Technical Summary

Problems solved by technology

The current method requires the physical model to have high precision, and some of the parameters depend on the test results at the same time, and the workload of the modeling process and experimental benchmarking of each model is relatively large, and the final prediction accuracy cannot be guaranteed

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