Data-Based Engine Torque and NOx Raw Emission Prediction

Zheng Yuan, Xiuyong Shi, Degang Jiang, Yunfang Liang, Jia Mi and Huijun Fan
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Zheng Yuan: Suzhou National Square Automotive Electronics, Suzhou 215000, China
Xiuyong Shi: School of Automotive Studies, Tongji University, Shanghai 201804, China
Degang Jiang: School of Automotive Studies, Tongji University, Shanghai 201804, China
Yunfang Liang: China Ship Scientific Research Center, Wuxi 214000, China
Jia Mi: Kunming Yunnei Power Co., Ltd., Kunming 650000, China
Huijun Fan: Suzhou National Square Automotive Electronics, Suzhou 215000, China

Energies, 2022, vol. 15, issue 12, 1-12

Abstract: Low accuracy is the main challenge that plagues the application of engine modeling technology at present. In this paper, correlation analysis technology is used to analyze the main influencing factors of engine torque and NOx (nitrogen oxides) raw emission performance from a statistical point of view, and on this basis, the regression algorithm is used to construct the engine torque and NOx emission prediction model. The prediction RMSE between engine torque prediction value and true value reaches 4.6186, and the torque prediction R 2 reaches 1.00. Prediction RMSE between NOx emission prediction value and true value reaches 67.599, and NOx emission prediction R 2 reaches 0.99. When using the new WHTC data for model prediction verification, the RMSE between the engine torque predicted value and true value reaches 4.9208, and the prediction accuracy reaches 99.60%, the RMSE between NOx emission prediction value and true value reaches 72.38, and the prediction accuracy reaches 99.2%, indicating that the model is relatively accurate. The evaluation result of the ambient temperature impact on torque shows that ambient temperature is positively correlated with engine torque.

Keywords: regression; correlation coefficient; influence factor; root mean square error; ambient temperature (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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