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Natural Product Discovery with LC-MS/MS Diagnostic Fragmentation Filtering: Application for Microcystin Analysis
Published on: May 31, 2019
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Uncertainties in Model-Based Diesel Particulate Filter Diagnostics Using a Soot Sensor.
Dimitrios Kontses1, Savas Geivanidis1, Pavlos Fragkiadoulakis1
1Laboratory of Applied Thermodynamics, Aristotle University of Thessaloniki, Administration Building, University Campus, P.O. Box 458, GR-54124 Thessaloniki, Greece.
Sensors (Basel, Switzerland)
|July 20, 2019
Summary
Real-time monitoring of diesel particulate filter (DPF) efficiency is crucial for reducing vehicle emissions. This study found a ±28% diagnostic error in current on-board diagnostic (OBD) systems, highlighting needs for improved sensor and soot model accuracy.
Area of Science:
- Automotive Engineering
- Environmental Science
- Mechanical Engineering
Background:
- Legislative mandates require continuous monitoring of diesel particulate filter (DPF) efficiency to control particulate matter (PM) emissions.
- On-board diagnostics (OBD) systems are essential for real-time performance assessment of DPFs in vehicles.
- Current OBD systems face challenges in accuracy and effectiveness due to limitations in sensors, simulation models, and diagnostic algorithms.
Purpose of the Study:
- To analyze the key factors influencing the effectiveness of on-board diagnostic (OBD) systems for diesel particulate filters (DPFs).
- To quantify the diagnostic error of OBD systems under real-world driving conditions using an error propagation analysis.
Main Methods:
- An error propagation analysis was conducted to quantify detection errors.
- The analysis focused on the performance during a New European Driving Cycle (NEDC).
- Influencing factors on OBD system effectiveness were systematically evaluated.
Main Results:
- The study determined a total diagnostic error of ±28% for the analyzed OBD model.
- The effectiveness of the OBD system is significantly impacted by the accuracy of its components, including sensors and soot models.
Conclusions:
- Improving sensor accuracy and refining soot models can enhance OBD system performance.
- Enhanced OBD systems are necessary to meet increasingly stringent emissions legislation and enable on-board monitoring (OBM).
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