Data Collection & Analysis Techniques for Emissions Mapping
This short course focuses on defining the data used for mapping emissions, how to collect that data, verify its integrity and how to use the data for predicting and controlling future engine performance. Trapped Equivalence Ratio is broadly accepted as the primary method for mapping and predicting engine emissions, fuel efficiency and combustion performance. The first section of this short course will define Trapped Equivalence Ratio (TER) and teach the attendee how TER can be used to evaluate current and predict future performance. The attendee will learn how to either directly identify or determine the parameters necessary for TER analysis and gain an understanding of why the technique is so robust and useful. The second section of the course will focus on the collection of the on-engine field data necessary to build a TER model. A complete test plan will be developed that supports the data collection efforts. In addition to the data collection requirements, the attendee will learn how to verify the integrity of their data. The final section of the course will focus on analysis of the collected data and what it means to predicting and controlling performance. The control potential of TER will be reviewed in detail and an Air Fuel Ratio (AFR) control scheme for controlling engine emissions will be presented. At the conclusion of the course, the attendee should have a good grasp of what TER is, how to collect data so that it can be used in a TER analysis and why TER is a preferred method predicting and controlling emissions.