International audience—In this paper, the energy management of hybrid electric vehicles is considered and two problems are addressed: torque split and engine stop-start policies. Model predictive control potential is proven especially for the decision to stop the engine at the proper moment and also to anticipate engine restart. A piecewise linear polynomial with respect to torque is used to approximate the fuel consumption and it will be shown that its partition can be exploited to implicitly consider engine stop decision. The strategy is applied to a dual-clutch transmission hybrid architecture which was simulated on a high-fidelity vehicle model
International audienceIn this paper, a two-layer predictive energy management strategy for hybrid el...
International audienceIn this paper, a two-layer predictive energy management strategy for hybrid el...
International audienceIn this paper, a two-layer predictive energy management strategy for hybrid el...
International audience—In this paper, the energy management of hybrid electric vehicles is considere...
International audience—In this paper, the energy management of hybrid electric vehicles is considere...
International audience—In this paper, the energy management of hybrid electric vehicles is considere...
International audience—In this paper, the energy management of hybrid electric vehicles is considere...
International audienceThe focus of this work is to exploit the potential of model predictive control...
International audienceThe focus of this work is to exploit the potential of model predictive control...
This paper presents a model predictive control (MPC) based supervisory power-split control strategy,...
International audienceThe focus of this work is to exploit the potential of model predictive control...
The Energy Management System (EMS) in Hybrid Electric Vehicles (HEV) determines the optimal use of t...
The Energy Management System (EMS) in Hybrid Electric Vehicles (HEV) determines the optimal use of t...
The Energy Management System (EMS) in Hybrid Electric Vehicles (HEV) determines the optimal use of t...
The Energy Management System (EMS) in Hybrid Electric Vehicles (HEV) determines the optimal use of t...
International audienceIn this paper, a two-layer predictive energy management strategy for hybrid el...
International audienceIn this paper, a two-layer predictive energy management strategy for hybrid el...
International audienceIn this paper, a two-layer predictive energy management strategy for hybrid el...
International audience—In this paper, the energy management of hybrid electric vehicles is considere...
International audience—In this paper, the energy management of hybrid electric vehicles is considere...
International audience—In this paper, the energy management of hybrid electric vehicles is considere...
International audience—In this paper, the energy management of hybrid electric vehicles is considere...
International audienceThe focus of this work is to exploit the potential of model predictive control...
International audienceThe focus of this work is to exploit the potential of model predictive control...
This paper presents a model predictive control (MPC) based supervisory power-split control strategy,...
International audienceThe focus of this work is to exploit the potential of model predictive control...
The Energy Management System (EMS) in Hybrid Electric Vehicles (HEV) determines the optimal use of t...
The Energy Management System (EMS) in Hybrid Electric Vehicles (HEV) determines the optimal use of t...
The Energy Management System (EMS) in Hybrid Electric Vehicles (HEV) determines the optimal use of t...
The Energy Management System (EMS) in Hybrid Electric Vehicles (HEV) determines the optimal use of t...
International audienceIn this paper, a two-layer predictive energy management strategy for hybrid el...
International audienceIn this paper, a two-layer predictive energy management strategy for hybrid el...
International audienceIn this paper, a two-layer predictive energy management strategy for hybrid el...