Real-time CO2 sensor for the optimal control of electronic EGR system

Gwang-jung Kim; Byungchul Choi; Inchul Choi

doi:10.1117/12.2035937

20 December 2013 Real-time CO₂ sensor for the optimal control of electronic EGR system

Gwang-jung Kim, Byungchul Choi, Inchul Choi

Proceedings Volume 9044, 2013 International Conference on Optical Instruments and Technology: Optical Sensors and Applications; 90440C (2013) https://doi.org/10.1117/12.2035937
Event: International Conference on Optical Instruments and Technology (OIT2013), 2013, Beijing, China

Abstract

In modern diesel engines, EGR (Exhaust Gas Recirculation) is an important technique used in nitrogen oxide (NOx) emission reduction. This paper describes the development and experimental results of a fiber-optical sensor using a 2.7 μm wavelength absorption to quantify the simultaneous CO₂ concentration which is the primary variable of EGR rate (CO₂ in the exhaust gas versus CO₂ in the intake gas, %). A real-time laser absorption method was developed using a DFB (distributed feedback) diode laser and waveguide to make optimal design and control of electronic EGR system required for ‘Euro-6’ and ‘Tier 4 Final’ NOx emission regulations. While EGR is effective to reduce NOx significantly, the amount of HC and CO is increased in the exhaust gas if EGR rate is not controlled based on driving conditions. Therefore, it is important to recirculate an appropriate amount of exhaust gas in the operation condition generating high volume of NOx. In this study, we evaluated basic characteristics and functions of our optical sensor and studied basically in order to find out optimal design condition. We demonstrated CO₂ measurement speed, accuracy and linearity as making a condition similar to real engine through the bench-scale experiment.

Citation Download Citation

Gwang-jung Kim, Byungchul Choi, and Inchul Choi "Real-time CO₂ sensor for the optimal control of electronic EGR system", Proc. SPIE 9044, 2013 International Conference on Optical Instruments and Technology: Optical Sensors and Applications, 90440C (20 December 2013); https://doi.org/10.1117/12.2035937

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