An on-board method to estimate the light-off temperature of diesel oxidation catalysts. (October 2020)

• Record Type: Journal Article
• Authors: Guardiola, Carlos; Pla, Benjamin; Bares, Pau; Mora, Javier
• Is Part Of: International journal of engine research. Volume 21:Number 8(2020)
• Page Start: 1480
• Page End: 1492
• Publication Date: 2020-10
• Subjects: Diesel oxidation catalyst diagnosis -- catalyst aging -- light-off temperature -- aging estimation -- diesel engine emissions; Engines -- Periodicals; 629.25
• DOI: 10.1177/1468087418817965
• Languages: English
• ISSNs: 1468-0874

Abstract

Current diesel engine regulations include on-board diagnostic requirements so that after-treatment systems need on-board methods to detect their aging state through the available measurements. In a state-of-the-art diesel exhaust line, two temperature andλ measurements can be found upstream and downstream of the diesel oxidation catalyst. Thus, the strategy presented in this article makes use of these measurements to estimate the light-off temperature, which has been widely studied as a characteristic of diesel oxidation catalyst aging. The light-off temperature estimation potential is evaluated first under dynamic engine operating conditions, in whichλ measurements are proved to be precise enough to detect oxidation. However, dynamic conditions make the association of a representative temperature with an oxidation event difficult. Therefore, the method makes use of more controlled conditions at idle, during which the exhaust temperature decreases avoiding dynamics of normal driving conditions. During the idle, post-injection pulses are applied to determine whether oxidation occurs at a representative temperature measured by the upstream temperature sensor. The result of each pulse is used to generate a database. Then, after a long enough time window, the database generated will allow characterizing non-oxidation and oxidation temperatures, with an intermediate interval of indefinition. This article shows how the temperatures of these ranges increase as the light-off temperature increases, thereby validating the proposed method for light-off temperature estimation.