Improving CO2 emission assessment of diesel-based powertrains in dynamic driving cycles by data fusion techniques
| Autor: | Benjamín Pla, Carlos Guardiola, Edward Chappell, Richard Burke, Pau Bares |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
0209 industrial biotechnology
Powertrain 020209 energy Mechanical Engineering Worldwide harmonized light vehicles test cycles Aerospace Engineering Real driving emissions INGENIERIA AEROESPACIAL 02 engineering and technology Kalman filter Data fusion CO(2)emissions Sensor fusion Automotive engineering Diesel fuel 020901 industrial engineering & automation MAQUINAS Y MOTORES TERMICOS 0202 electrical engineering electronic engineering information engineering Environmental science |
| Zdroj: | RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia instname |
| ISSN: | 2041-2991 0954-4070 |
| DOI: | 10.1177/0954407020949477 |
| Popis: | [EN] This article proposes a method based on the Kalman filter to improve the accuracy of the CO(2)measurement in driving cycles such as worldwide harmonized light vehicles test cycles or real driving cycles which are inherently subject to a loss in accuracy due to the dynamic limitations of the CO(2)analysers. The information from the analyser is combined with the electronic control unit estimation of the fuel injection. The characteristics of diesel engines and, in particular, the high efficiency of the combustion process and the diesel oxidation catalyst allows to compute the CO(2)emissions from the fuel consumption estimation of the electronic control unit by applying the carbon balance method assuming negligible HC and CO emissions. Then, the assessment of the CO(2)analyser response time and accuracy allows to pose an estimation problem that can be solved by a Kalman filter. The application of the method to different driving cycles shows that analyser dynamic limitations may lead to an overestimation of the CO(2)figures that can reach 4% in highly dynamic tests such as the worldwide harmonized light vehicles test cycles. The technique thus has further potential application to replicating real driving cycles on the chassis dynamometer for real driving emission testing. The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: The authors acknowledge the support of Spanish Ministerio de Economia, Industria y Competitividad through project TRA2016-78717-R and Programme GV-BEST ref. BEST/2018/002 for supporting the research stage of B. Pla in the University of Bath. |
| Databáze: | OpenAIRE |
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