Optimization of fuel consumption and NO x emission for mild HEV via hierarchical model predictive control

Yuka Umezawa, Ken Yamauchi, Hiroki Seto, Toshiro Imamura, Toru Namerikawa

研究成果: Article査読

抄録

In this paper, we consider the fuel economy optimization problem for a mild hybrid electric vehicle (HEV) using hierarchical model predictive control. In the proposed algorithm, two problems are addressed: eco-driving and torque distribution. In the eco-driving problem, vehicle speed was controlled. Considering the reduction in fuel consumption and NOx emissions, the torque required to follow the target speed was calculated. Subsequently, in the torque distribution problem, the distribution between the engine and motor torques were calculated. In this phase, engine characteristics were considered. These problems differ in terms of time scales; therefore, a hierarchical model predictive control is proposed. Lastly, the numerical simulation results demonstrated the efficacy of this research.

本文言語English
ページ(範囲)221-234
ページ数14
ジャーナルControl Theory and Technology
20
2
DOI
出版ステータスPublished - 2022 5月

ASJC Scopus subject areas

  • 制御およびシステム工学
  • 航空宇宙工学
  • 制御と最適化

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