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| Optimization of fuel consumption and NOx emission for mild HEV via hierarchical model predictive control |
| YukaUmezawa1,KenYamauchi1,HirokiSeto2,ToshiroImamura2,ToruNamerikawa1 |
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| (1 Graduate School of Science and Technology, Keio University, 3-14-1 Hiyoshi, Kohoku-ku, Yokohama, Kanagawa 223-8522, Japan;2 Isuzu Advanced Engineering Center Ltd, 8 Tsuchidana, Fujisawa, Kanagawa 252-0881, Japan) |
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| 摘要: |
| 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. |
| 关键词: Mild HEV · Energy management · Model predictive control · Hierarchical control |
| DOI：https://doi.org/10.1007/s11768-022-00097-9 |
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| 基金项目: |
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| Optimization of fuel consumption and NOx emission for mild HEV via hierarchical model predictive control |
| Yuka Umezawa1,Ken Yamauchi1,Hiroki Seto2,Toshiro Imamura2,Toru Namerikawa1 |
| (1 Graduate School of Science and Technology, Keio University, 3-14-1 Hiyoshi, Kohoku-ku, Yokohama, Kanagawa 223-8522, Japan;2 Isuzu Advanced Engineering Center Ltd, 8 Tsuchidana, Fujisawa, Kanagawa 252-0881, Japan) |
| Abstract: |
| 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. |
| Key words: Mild HEV · Energy management · Model predictive control · Hierarchical control |
