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Optimization of fuel consumption and NO_(x) emission for mild HEV via hierarchical model predictive control
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作者 yuka umezawa Ken Yamauchi +2 位作者 Hiroki Seto Toshiro Imamura Toru Namerikawa 《Control Theory and Technology》 EI CSCD 2022年第2期221-234,共14页
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 t... 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. 展开更多
关键词 Mild HEV Energy management Model predictive control Hierarchical control
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