Research on Feature Detection of Light Vehicle Emission Pollution Under the Control of Artificial Intelligence

Fengbin Wang; Mingshi Chen; Weida Ju

doi:10.54097/ajst.v7i1.11301

Authors

Fengbin Wang
Mingshi Chen
Weida Ju

DOI:

https://doi.org/10.54097/ajst.v7i1.11301

Keywords:

Artificial Intelligence, Light Vehicle, Pollution Emission, Pollution Detection.

Abstract

Most modern cars use electronically controlled fuel injection engines. Because the fuel injection rate is strictly in accordance with the intake port, the combustion is more thorough and cleaner, so it usually has better emission performance. However, when there is a problem with it, it will have a great impact on its emission characteristics. By conducting exhaust emission experiments under WLTC, NEDC, and FTP-75 operating conditions, the emission characteristics of exhaust gases under various operating conditions were compared. Through comparative analysis, it is concluded that under WLTC conditions, the strictness of vehicle exhaust emissions has increased compared with the past, which provides a basis for automobile manufacturers to manage vehicle exhaust in the new technical environment.

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