Reducing NOx Emissions and Optimizing Fuel Economy by Controlling Torque and Catalyst warm-up in mild HEVs

Yuka Umezawa, Hiroki Seto, Toshiro Imamura, Toru Namerikawa

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, hierarchical model predictive control is applied to mild HEVs in order to improve fuel economy and reduce NOx emissions. There is a difference in the timescale between the temperature control (high-level) and the torque control (low-level), which are connected problems via the battery. In high-level of the hierarchical control, the optimal amount of heating from the battery to the catalyst in the exhaust gas after-treatment system is determined. The amount of heating must be determined in such a way that the catalyst can optimally purify NOx emitted from the engine. At the low-level of the hierarchical control, the optimal torque distribution for the engine and motor is determined. The controller at both levels then applies model predictive control to account for the future behavior of the HEV's components. Fuel consumption, battery SoC and NOx emissions from the engine are taken into account. Finally, the effectiveness of our proposed method is demonstrated by simulations.

Original languageEnglish
Title of host publicationASCC 2022 - 2022 13th Asian Control Conference, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1914-1919
Number of pages6
ISBN (Electronic)9788993215236
DOIs
Publication statusPublished - 2022
Event13th Asian Control Conference, ASCC 2022 - Jeju, Korea, Republic of
Duration: 2022 May 42022 May 7

Publication series

NameASCC 2022 - 2022 13th Asian Control Conference, Proceedings

Conference

Conference13th Asian Control Conference, ASCC 2022
Country/TerritoryKorea, Republic of
CityJeju
Period22/5/422/5/7

Keywords

  • Energy Management
  • Hierarchical Control
  • mild HEV
  • Model Predictive Control

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Control and Optimization

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