Pollutant emissions estimation framework for real-driving emissions at microscopic scale and environmental footprint calculation

摘要

Nowadays, health related issues of local pollutant emissions due to transport is becoming a major concern in our modern society. Exhaust emissions level for various gases are strongly related to the driving behavior of the user. It is of public knowledge that vehicle approval regulation techniques do not reflect actual emissions on everyday trips due, for instance, to the very smooth velocity profile considered. Available means of measuring the actual environmental footprint of a vehicle exist and are called Portable Emissions Measurement Systems (PEMS). However these sensors are usually bulky and too expensive for large scale campaigns. We propose a novel solution to monitor users environmental footprint using only a smartphone device with no additional sensors. The proposed solution is able to provide individualized feedback depending on vehicle characteristics, driving style and trips topology. The comprehensive pollutant gas emission estimation algorithm is presented including vehicle, engine, aftertreatment models and environmental footprint calculation.