Predictive energy management of a HEV considering engine torque dynamic

2021 EUROPEAN CONTROL CONFERENCE (ECC)(2021)

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摘要
Although the Equivalent Consumption Minimization Strategy (ECMS) provides excellent performances in the context of energy management of parallel Hybrid Electric Vehicles (HEVs), it usually approximates the vehicle powertrain mainly as static maps, considering only the dynamic of the battery State Of Charge (SOC). In particular, neglecting the dynamic of the Internal Combustion Engine (ICE) is problematic and leads to unnecessary engine starts and a worse overall energy efficiency. This paper aims to address this deficiency by taking into account the energy impact of the engine torque transient and the switch from an electric mode to a hybrid or thermal mode, through an approach based on both ECMS and Model Predictive Control (MPC). The resolution of a quadratic optimization problem taking into account short-term future leads to allow or forbid the start of the ICE, depending on the energy balance between the potential gain of a hybrid mode and the cost of the engine start and torque raise. By avoiding the consumption cost of unnecessary engine starts and by handling properly the ICE torque dynamic, this mixed approach yields fuel consumption gain up to 0.6%. This gain is important in a context of very challenging environmental constraints in the automotive industry.
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关键词
engine starts,ICE,predictive energy management,parallel HEV,equivalent consumption minimization strategy,ECMS,parallel hybrid electric vehicles,vehicle powertrain,static maps,internal combustion engine,engine torque transient,model predictive control,quadratic optimization problem,engine torque dynamic,MPC,state of charge,fuel consumption,SOC,automotive industry
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