Program Overview
This program equips engineering and regulatory teams with a comprehensive, practical understanding of automotive emission measurement techniques. It covers HC, CO/CO₂, NOx, Smoke, PM, and Particle Number measurement—as outlined in the Emission Measurement Technique course content—while building strong situational awareness around laboratory setups, sampling systems, analyzer behaviour, calibration workflows, and regulatory test cycles. Participants work through real-world challenges such as transient-cycle deviations, analyzer drift, probe placement errors, condensation issues, PN measurement anomalies, DPF-related spikes, and OBD–lab correlation gaps. Using structured exercises and simulation-driven diagnostics, they learn to interpret multi-pollutant datasets, identify measurement inaccuracies, ensure data reliability, and diagnose root causes affecting emission compliance and aftertreatment system performance.
Features
- Measure and interpret HC, CO/COâ‚‚, NOx, PM and PN emissions using industry-standard analyzers
- Diagnose emission measurement errors related to sampling systems, analyzer drift, calibration, and environmental factors
- Correlate emission data with engine performance, aftertreatment behaviour, and OBD signals to identify root causes
- Apply emission test procedures and regulatory cycle requirements to ensure accuracy, consistency, and compliance
Target audiences
- Emission testing, aftertreatment & powertrain engineering professionals
- OBD, calibration, and diagnostics engineers
- R&D, vehicle testing, certification & homologation teams
- Quality, durability, warranty & regulatory compliance teams
- Operations, plant technical & fleet maintenance teams dealing with emission systems
Curriculum
- 6 Sections
- 49 Lessons
- 1 Day
Expand all sectionsCollapse all sections
- Fundamentals of Emission Measurement11
- 1.1Importance of emission measurement & Emission Measurement Technique
- 1.2Types of automotive emissions (HC, CO, COâ‚‚, NOx, PM, Smoke)
- 1.3Role of emission measurement in aftertreatment efficiency, emission inventories & regulatory compliance
- 1.4Upstream vs downstream measurement points for SCR/DPF efficiency
- 1.5Case Based Example: How incorrect measurement leads to compliance failures
- 1.6Challenges: transient cycles, cold-start, idling, altitude dependence
- 1.7How emission labs operate: CVS tunnel, dilution ratios, analyzers
- 1.8Case based learning: NOx underestimation due to improper probe placement
- 1.9Case: PM measurement error due to filter handling
- 1.10Case Study: CO drift in NDIR analyzer in poorly controlled temperature conditions
- 1.11Activity: Identify measurement errors from sample emission graphs
- Hydrocarbon (HC) & CO/COâ‚‚ Measurement Techniques8
- 2.1HC measurement using FID
- 2.2CO/COâ‚‚ measurement using NDIR analyzers
- 2.3Calibration gases & span drift
- 2.4Interference factors (humidity, fuel type, exhaust dilution)
- 2.5Case Based Example: Sensitivity issues in FID; Water condensation in sampling lines; CO saturation under rich conditions
- 2.6Case based learning HC misreading due to incorrect FID flame temperature
- 2.7CO signal noise seen during rapid transients
- 2.8Activity: Interpret FID and NDIR analyzer logs and identify abnormal patterns
- NOx Measurement & Smoke Measurement9
- 3.1NOx measurement methods: CLD, NDUV
- 3.2Calibration, quenching effects, time alignment
- 3.3Smoke measurement (opacity, filter smoke number – FSN)
- 3.4Case Based Example: NOâ‚‚/NO ratio issues during SCR operation
- 3.5Smoke measurement challenges in turbo engines
- 3.6Impact of EGR on NOx & smoke simultaneously
- 3.7Case Study: Upstream NOx spike misinterpreted due to analyzer delay
- 3.8Case Study: Smoke increase caused by injector drift
- 3.9Activity: NOx sensor vs analyzer correlation exercise using given datasets
- Particulate Matter (PM) & Particle Number (PN) Measurement10
- 4.1PM measurement by gravimetric methods
- 4.2Filter handling, conditioning, weighing
- 4.3PN measurement: CPC, DC, volatile particle removal
- 4.4Sampling system: VPR, dilution tunnels
- 4.5Case based example: PM measurement errors due to humidity and electrostatic charge
- 4.6PN sensitivity to sampling temperature
- 4.7DPF-regeneration-related PM spikes
- 4.8Case Based Learning: Incorrect PM results due to filter contamination
- 4.9PN anomalies during rapid accelerations
- 4.10Activity: Interpret raw PM filter mass and PN count data to assess DPF health
- Integrated Emission Testing, OBD Correlation & Troubleshooting9
- 5.1End-to-end emission testing workflow
- 5.2Test cycles: IDC, WLTC, WHTC
- 5.3Analyzer calibration, sample line design, time-alignment
- 5.4Case based example: OBD vs lab analyzer correlation
- 5.5Fault modes: leaks, condensation, drift, contamination
- 5.6Real test-lab constraints
- 5.7Case Based Learning Cycle mismatch causing regulatory non-compliance
- 5.8Analyzer zero drift leading to COâ‚‚ error impacting fuel economy reporting
- 5.9Activity: Diagnose a faulty emission test using provided multi-pollutant dataset
- Case Study Simulation & Group Problem Solving2
- 6.1Activity: Full emission dataset (HC, CO, NOx, PM, PN)- Identify instrument faults; Correlate upstream/downstream readings; Determine aftertreatment efficiency; Suggest corrective actions
- 6.2Deliverables: Root-cause analysis, Proposed calibration corrections, Lab procedure improvements, Compliance risk assessment
Instructor
