Prediction of Real Driving Emission of Light Vehicles in China VI Based on GA-BP Algorithm
In the China VI regulations for light-duty vehicles, the (RDE) test is introduced as a supplementary test procedure. In the actual test process, the RDE results are more significantly influenced by driving behavior and vehicle type. To reduce the test cost, the NOx and PN prediction models are estab...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2022-10-01
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| Series: | Atmosphere |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2073-4433/13/11/1800 |
| _version_ | 1797469172089749504 |
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| author | Hao Yu Hong Chang Zengjia Wen Yunshan Ge Lijun Hao Xin Wang Jianwei Tan |
| author_facet | Hao Yu Hong Chang Zengjia Wen Yunshan Ge Lijun Hao Xin Wang Jianwei Tan |
| author_sort | Hao Yu |
| collection | DOAJ |
| description | In the China VI regulations for light-duty vehicles, the (RDE) test is introduced as a supplementary test procedure. In the actual test process, the RDE results are more significantly influenced by driving behavior and vehicle type. To reduce the test cost, the NOx and PN prediction models are established based on the GA-BP method. The results showed that the coefficients of determination of the GA-BP model for NOx and PN predictions are all greater than 0.9 and are linearly highly correlated at the instantaneous emission level. At the overall emission level, the overall error of the GA-BP model is less than 7% for NOx prediction and less than 6% for PN prediction. The model has high accuracy for both instantaneous and overall emissions of light-duty vehicles. This provides practical engineering value for guiding the RDE test. |
| first_indexed | 2024-03-09T19:17:40Z |
| format | Article |
| id | doaj.art-fa9032571dc84188a5e7a853bbd2292a |
| institution | Directory Open Access Journal |
| issn | 2073-4433 |
| language | English |
| last_indexed | 2024-03-09T19:17:40Z |
| publishDate | 2022-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Atmosphere |
| spelling | doaj.art-fa9032571dc84188a5e7a853bbd2292a2023-11-24T03:42:25ZengMDPI AGAtmosphere2073-44332022-10-011311180010.3390/atmos13111800Prediction of Real Driving Emission of Light Vehicles in China VI Based on GA-BP AlgorithmHao Yu0Hong Chang1Zengjia Wen2Yunshan Ge3Lijun Hao4Xin Wang5Jianwei Tan6China Automotive Engineering Research Institute Corporation, Chongqing 261061, ChinaChina Automotive Engineering Research Institute Corporation, Chongqing 261061, ChinaSchool of Mechanics and Vehicles, Beijing Institute of Technology, Beijing 100081, ChinaSchool of Mechanics and Vehicles, Beijing Institute of Technology, Beijing 100081, ChinaSchool of Mechanics and Vehicles, Beijing Institute of Technology, Beijing 100081, ChinaSchool of Mechanics and Vehicles, Beijing Institute of Technology, Beijing 100081, ChinaSchool of Mechanics and Vehicles, Beijing Institute of Technology, Beijing 100081, ChinaIn the China VI regulations for light-duty vehicles, the (RDE) test is introduced as a supplementary test procedure. In the actual test process, the RDE results are more significantly influenced by driving behavior and vehicle type. To reduce the test cost, the NOx and PN prediction models are established based on the GA-BP method. The results showed that the coefficients of determination of the GA-BP model for NOx and PN predictions are all greater than 0.9 and are linearly highly correlated at the instantaneous emission level. At the overall emission level, the overall error of the GA-BP model is less than 7% for NOx prediction and less than 6% for PN prediction. The model has high accuracy for both instantaneous and overall emissions of light-duty vehicles. This provides practical engineering value for guiding the RDE test.https://www.mdpi.com/2073-4433/13/11/1800light-duty vehiclesRDEGA-BPemission prediction |
| spellingShingle | Hao Yu Hong Chang Zengjia Wen Yunshan Ge Lijun Hao Xin Wang Jianwei Tan Prediction of Real Driving Emission of Light Vehicles in China VI Based on GA-BP Algorithm Atmosphere light-duty vehicles RDE GA-BP emission prediction |
| title | Prediction of Real Driving Emission of Light Vehicles in China VI Based on GA-BP Algorithm |
| title_full | Prediction of Real Driving Emission of Light Vehicles in China VI Based on GA-BP Algorithm |
| title_fullStr | Prediction of Real Driving Emission of Light Vehicles in China VI Based on GA-BP Algorithm |
| title_full_unstemmed | Prediction of Real Driving Emission of Light Vehicles in China VI Based on GA-BP Algorithm |
| title_short | Prediction of Real Driving Emission of Light Vehicles in China VI Based on GA-BP Algorithm |
| title_sort | prediction of real driving emission of light vehicles in china vi based on ga bp algorithm |
| topic | light-duty vehicles RDE GA-BP emission prediction |
| url | https://www.mdpi.com/2073-4433/13/11/1800 |
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