A Model based approach to DPF soot estimation and validation for BSVI Commercial Vehicles in context to Indian Driving cycles Tata Motors Limited

Format:

Book

Conference/Event

Author/Creator:

Jain, Abhilash, author.

Contributor:

Kardile, Chandan

Singh, Ashwani

Unde, Prashant

Conference Name:

Symposium on International Automotive Technology (2021-09-29 : Pune, India)

Language:

English

Physical Description:

1 online resource cm

Place of Publication:

Warrendale, PA SAE International 2021

Summary:

With India achieving the BSVI milestone, the diesel particulate filter (DPF) has become an imperative component of a modern diesel engine. A DPF system is a device designed to trap soot from exhaust gas of the diesel engine and demands periodic regeneration events to oxidize the accumulated soot particles. The regeneration event is triggered either based on the soot mass limit of the filter or the delta pressure across it. For a Heavy Duty Diesel Engine (HDDE), pressure difference across the DPF is not usually reliable as the difference in the pressure for an empty and fully loaded DPF is not considerable enough to make an accurate call for active regeneration. This demands for a very accurate soot estimation model and it plays a vital role in a successful regeneration event. This paper describes about a soot estimation model developed from an empirical engine out soot emissions model, combined with a physical soot oxidation model to determine the soot load in the DPF. Matlab/Simulink models were developed to provide an actual soot mass value deposited in the DPF under all Indian driving conditions from a low speed city cycle to a high speed highway cycle. The model is validated on test bed as well as on vehicle under all driving conditions and could achieve an accuracy ±5 grams against actual soot load in the DPF. With the help of such model, the calibration effort could be greatly reduced as more number of driving cycles could be validated in a short time which was the greatest challenge to achieve BSVI targets

Notes:

Vendor supplied data

Publisher Number:

2021-26-0183

Access Restriction:

Restricted for use by site license