The Experts below are selected from a list of 13695 Experts worldwide ranked by ideXlab platform
Anthony Mark Phillips - One of the best experts on this subject based on the ideXlab platform.
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power smoothing energy management and its application to a series hybrid powertrain
IEEE Transactions on Control Systems and Technology, 2013Co-Authors: Stefano Di Cairano, Ming L Kuang, Wei Liang, Ilya V. Kolmanovsky, Anthony Mark PhillipsAbstract:Energy management strategies in hybrid electric vehicles determine how much energy is produced/stored/used in each powertrain component. We propose an approach for energy management applied to a series hybrid electric vehicle that aims at improving the powertrain efficiency rather than the total fuel consumption. Since in the series configuration the Engine is mechanically decoupled from the traction wheels, for a given power request the steady-state Engine Operating Point is chosen to maximize the efficiency. A control algorithm regulates the transitions between different Operating Points by using the battery to smoothen the Engine transients, thereby improving efficiency. Because of the constrained nature of the transient-smoothing problem, we implement the control algorithm by model predictive control. The control strategy feedback law is synthesized and integrated with the powertrain control software in the Engine control unit. Simulations of the urban dynamometer driving schedule (UDDS) and US06 cycles using a complete vehicle system model and experimental tests of the UDDS cycle show improved fuel economy with respect to baseline strategies.
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ACC - Engine power smoothing energy management strategy for a series hybrid electric vehicle
Proceedings of the 2011 American Control Conference, 2011Co-Authors: Stefano Di Cairano, Ming L Kuang, Wei Liang, Ilya V. Kolmanovsky, Anthony Mark PhillipsAbstract:Hybrid electric vehicles exploit energy production and energy storage systems to achieve improved fuel economy with respect to conventional powertrains. In order to maximize such improvements, advanced control strategies are needed for deciding the amount of energy to be produced and stored. In this paper we propose an approach for energy management of a series hybrid electric vehicle (SHEV). This approach focuses on maximizing the Pointwise powertrain efficiency, rather than the overall fuel consumption. For a given power request the steady state Engine Operating Point is chosen to maximize the efficiency. A control algorithm regulates the transitions between different Operating Points, by using the battery to smoothen the Engine transients. Due to the constrained nature of the transient smoothing problem, we implement the control algorithm by model predictive control. Experimental testing on the UDDS cycle shows improved fuel economy with respect to two baseline strategies.
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Engine power smoothing energy management strategy for a series hybrid electric vehicle
American Control Conference, 2011Co-Authors: Stefano Di Cairano, Ming L Kuang, Wei Liang, Ilya V. Kolmanovsky, Anthony Mark PhillipsAbstract:Hybrid electric vehicles exploit energy production and energy storage systems to achieve improved fuel economy with respect to conventional powertrains. In order to maximize such improvements, advanced control strategies are needed for deciding the amount of energy to be produced and stored. In this paper we propose an approach for energy management of a series hybrid electric vehicle (SHEV). This approach focuses on maximizing the Pointwise powertrain efficiency, rather than the overall fuel consumption. For a given power request the steady state Engine Operating Point is chosen to maximize the efficiency. A control algorithm regulates the transitions between different Operating Points, by using the battery to smoothen the Engine transients. Due to the constrained nature of the transient smoothing problem, we implement the control algorithm by model predictive control. Experimental testing on the UDDS cycle shows improved fuel economy with respect to two baseline strategies.
Stefano Di Cairano - One of the best experts on this subject based on the ideXlab platform.
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power smoothing energy management and its application to a series hybrid powertrain
IEEE Transactions on Control Systems and Technology, 2013Co-Authors: Stefano Di Cairano, Ming L Kuang, Wei Liang, Ilya V. Kolmanovsky, Anthony Mark PhillipsAbstract:Energy management strategies in hybrid electric vehicles determine how much energy is produced/stored/used in each powertrain component. We propose an approach for energy management applied to a series hybrid electric vehicle that aims at improving the powertrain efficiency rather than the total fuel consumption. Since in the series configuration the Engine is mechanically decoupled from the traction wheels, for a given power request the steady-state Engine Operating Point is chosen to maximize the efficiency. A control algorithm regulates the transitions between different Operating Points by using the battery to smoothen the Engine transients, thereby improving efficiency. Because of the constrained nature of the transient-smoothing problem, we implement the control algorithm by model predictive control. The control strategy feedback law is synthesized and integrated with the powertrain control software in the Engine control unit. Simulations of the urban dynamometer driving schedule (UDDS) and US06 cycles using a complete vehicle system model and experimental tests of the UDDS cycle show improved fuel economy with respect to baseline strategies.
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ACC - Engine power smoothing energy management strategy for a series hybrid electric vehicle
Proceedings of the 2011 American Control Conference, 2011Co-Authors: Stefano Di Cairano, Ming L Kuang, Wei Liang, Ilya V. Kolmanovsky, Anthony Mark PhillipsAbstract:Hybrid electric vehicles exploit energy production and energy storage systems to achieve improved fuel economy with respect to conventional powertrains. In order to maximize such improvements, advanced control strategies are needed for deciding the amount of energy to be produced and stored. In this paper we propose an approach for energy management of a series hybrid electric vehicle (SHEV). This approach focuses on maximizing the Pointwise powertrain efficiency, rather than the overall fuel consumption. For a given power request the steady state Engine Operating Point is chosen to maximize the efficiency. A control algorithm regulates the transitions between different Operating Points, by using the battery to smoothen the Engine transients. Due to the constrained nature of the transient smoothing problem, we implement the control algorithm by model predictive control. Experimental testing on the UDDS cycle shows improved fuel economy with respect to two baseline strategies.
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Engine power smoothing energy management strategy for a series hybrid electric vehicle
American Control Conference, 2011Co-Authors: Stefano Di Cairano, Ming L Kuang, Wei Liang, Ilya V. Kolmanovsky, Anthony Mark PhillipsAbstract:Hybrid electric vehicles exploit energy production and energy storage systems to achieve improved fuel economy with respect to conventional powertrains. In order to maximize such improvements, advanced control strategies are needed for deciding the amount of energy to be produced and stored. In this paper we propose an approach for energy management of a series hybrid electric vehicle (SHEV). This approach focuses on maximizing the Pointwise powertrain efficiency, rather than the overall fuel consumption. For a given power request the steady state Engine Operating Point is chosen to maximize the efficiency. A control algorithm regulates the transitions between different Operating Points, by using the battery to smoothen the Engine transients. Due to the constrained nature of the transient smoothing problem, we implement the control algorithm by model predictive control. Experimental testing on the UDDS cycle shows improved fuel economy with respect to two baseline strategies.
Ilya V. Kolmanovsky - One of the best experts on this subject based on the ideXlab platform.
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power smoothing energy management and its application to a series hybrid powertrain
IEEE Transactions on Control Systems and Technology, 2013Co-Authors: Stefano Di Cairano, Ming L Kuang, Wei Liang, Ilya V. Kolmanovsky, Anthony Mark PhillipsAbstract:Energy management strategies in hybrid electric vehicles determine how much energy is produced/stored/used in each powertrain component. We propose an approach for energy management applied to a series hybrid electric vehicle that aims at improving the powertrain efficiency rather than the total fuel consumption. Since in the series configuration the Engine is mechanically decoupled from the traction wheels, for a given power request the steady-state Engine Operating Point is chosen to maximize the efficiency. A control algorithm regulates the transitions between different Operating Points by using the battery to smoothen the Engine transients, thereby improving efficiency. Because of the constrained nature of the transient-smoothing problem, we implement the control algorithm by model predictive control. The control strategy feedback law is synthesized and integrated with the powertrain control software in the Engine control unit. Simulations of the urban dynamometer driving schedule (UDDS) and US06 cycles using a complete vehicle system model and experimental tests of the UDDS cycle show improved fuel economy with respect to baseline strategies.
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ACC - Engine power smoothing energy management strategy for a series hybrid electric vehicle
Proceedings of the 2011 American Control Conference, 2011Co-Authors: Stefano Di Cairano, Ming L Kuang, Wei Liang, Ilya V. Kolmanovsky, Anthony Mark PhillipsAbstract:Hybrid electric vehicles exploit energy production and energy storage systems to achieve improved fuel economy with respect to conventional powertrains. In order to maximize such improvements, advanced control strategies are needed for deciding the amount of energy to be produced and stored. In this paper we propose an approach for energy management of a series hybrid electric vehicle (SHEV). This approach focuses on maximizing the Pointwise powertrain efficiency, rather than the overall fuel consumption. For a given power request the steady state Engine Operating Point is chosen to maximize the efficiency. A control algorithm regulates the transitions between different Operating Points, by using the battery to smoothen the Engine transients. Due to the constrained nature of the transient smoothing problem, we implement the control algorithm by model predictive control. Experimental testing on the UDDS cycle shows improved fuel economy with respect to two baseline strategies.
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Engine power smoothing energy management strategy for a series hybrid electric vehicle
American Control Conference, 2011Co-Authors: Stefano Di Cairano, Ming L Kuang, Wei Liang, Ilya V. Kolmanovsky, Anthony Mark PhillipsAbstract:Hybrid electric vehicles exploit energy production and energy storage systems to achieve improved fuel economy with respect to conventional powertrains. In order to maximize such improvements, advanced control strategies are needed for deciding the amount of energy to be produced and stored. In this paper we propose an approach for energy management of a series hybrid electric vehicle (SHEV). This approach focuses on maximizing the Pointwise powertrain efficiency, rather than the overall fuel consumption. For a given power request the steady state Engine Operating Point is chosen to maximize the efficiency. A control algorithm regulates the transitions between different Operating Points, by using the battery to smoothen the Engine transients. Due to the constrained nature of the transient smoothing problem, we implement the control algorithm by model predictive control. Experimental testing on the UDDS cycle shows improved fuel economy with respect to two baseline strategies.
Ming L Kuang - One of the best experts on this subject based on the ideXlab platform.
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power smoothing energy management and its application to a series hybrid powertrain
IEEE Transactions on Control Systems and Technology, 2013Co-Authors: Stefano Di Cairano, Ming L Kuang, Wei Liang, Ilya V. Kolmanovsky, Anthony Mark PhillipsAbstract:Energy management strategies in hybrid electric vehicles determine how much energy is produced/stored/used in each powertrain component. We propose an approach for energy management applied to a series hybrid electric vehicle that aims at improving the powertrain efficiency rather than the total fuel consumption. Since in the series configuration the Engine is mechanically decoupled from the traction wheels, for a given power request the steady-state Engine Operating Point is chosen to maximize the efficiency. A control algorithm regulates the transitions between different Operating Points by using the battery to smoothen the Engine transients, thereby improving efficiency. Because of the constrained nature of the transient-smoothing problem, we implement the control algorithm by model predictive control. The control strategy feedback law is synthesized and integrated with the powertrain control software in the Engine control unit. Simulations of the urban dynamometer driving schedule (UDDS) and US06 cycles using a complete vehicle system model and experimental tests of the UDDS cycle show improved fuel economy with respect to baseline strategies.
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ACC - Engine power smoothing energy management strategy for a series hybrid electric vehicle
Proceedings of the 2011 American Control Conference, 2011Co-Authors: Stefano Di Cairano, Ming L Kuang, Wei Liang, Ilya V. Kolmanovsky, Anthony Mark PhillipsAbstract:Hybrid electric vehicles exploit energy production and energy storage systems to achieve improved fuel economy with respect to conventional powertrains. In order to maximize such improvements, advanced control strategies are needed for deciding the amount of energy to be produced and stored. In this paper we propose an approach for energy management of a series hybrid electric vehicle (SHEV). This approach focuses on maximizing the Pointwise powertrain efficiency, rather than the overall fuel consumption. For a given power request the steady state Engine Operating Point is chosen to maximize the efficiency. A control algorithm regulates the transitions between different Operating Points, by using the battery to smoothen the Engine transients. Due to the constrained nature of the transient smoothing problem, we implement the control algorithm by model predictive control. Experimental testing on the UDDS cycle shows improved fuel economy with respect to two baseline strategies.
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Engine power smoothing energy management strategy for a series hybrid electric vehicle
American Control Conference, 2011Co-Authors: Stefano Di Cairano, Ming L Kuang, Wei Liang, Ilya V. Kolmanovsky, Anthony Mark PhillipsAbstract:Hybrid electric vehicles exploit energy production and energy storage systems to achieve improved fuel economy with respect to conventional powertrains. In order to maximize such improvements, advanced control strategies are needed for deciding the amount of energy to be produced and stored. In this paper we propose an approach for energy management of a series hybrid electric vehicle (SHEV). This approach focuses on maximizing the Pointwise powertrain efficiency, rather than the overall fuel consumption. For a given power request the steady state Engine Operating Point is chosen to maximize the efficiency. A control algorithm regulates the transitions between different Operating Points, by using the battery to smoothen the Engine transients. Due to the constrained nature of the transient smoothing problem, we implement the control algorithm by model predictive control. Experimental testing on the UDDS cycle shows improved fuel economy with respect to two baseline strategies.
Wei Liang - One of the best experts on this subject based on the ideXlab platform.
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power smoothing energy management and its application to a series hybrid powertrain
IEEE Transactions on Control Systems and Technology, 2013Co-Authors: Stefano Di Cairano, Ming L Kuang, Wei Liang, Ilya V. Kolmanovsky, Anthony Mark PhillipsAbstract:Energy management strategies in hybrid electric vehicles determine how much energy is produced/stored/used in each powertrain component. We propose an approach for energy management applied to a series hybrid electric vehicle that aims at improving the powertrain efficiency rather than the total fuel consumption. Since in the series configuration the Engine is mechanically decoupled from the traction wheels, for a given power request the steady-state Engine Operating Point is chosen to maximize the efficiency. A control algorithm regulates the transitions between different Operating Points by using the battery to smoothen the Engine transients, thereby improving efficiency. Because of the constrained nature of the transient-smoothing problem, we implement the control algorithm by model predictive control. The control strategy feedback law is synthesized and integrated with the powertrain control software in the Engine control unit. Simulations of the urban dynamometer driving schedule (UDDS) and US06 cycles using a complete vehicle system model and experimental tests of the UDDS cycle show improved fuel economy with respect to baseline strategies.
-
ACC - Engine power smoothing energy management strategy for a series hybrid electric vehicle
Proceedings of the 2011 American Control Conference, 2011Co-Authors: Stefano Di Cairano, Ming L Kuang, Wei Liang, Ilya V. Kolmanovsky, Anthony Mark PhillipsAbstract:Hybrid electric vehicles exploit energy production and energy storage systems to achieve improved fuel economy with respect to conventional powertrains. In order to maximize such improvements, advanced control strategies are needed for deciding the amount of energy to be produced and stored. In this paper we propose an approach for energy management of a series hybrid electric vehicle (SHEV). This approach focuses on maximizing the Pointwise powertrain efficiency, rather than the overall fuel consumption. For a given power request the steady state Engine Operating Point is chosen to maximize the efficiency. A control algorithm regulates the transitions between different Operating Points, by using the battery to smoothen the Engine transients. Due to the constrained nature of the transient smoothing problem, we implement the control algorithm by model predictive control. Experimental testing on the UDDS cycle shows improved fuel economy with respect to two baseline strategies.
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Engine power smoothing energy management strategy for a series hybrid electric vehicle
American Control Conference, 2011Co-Authors: Stefano Di Cairano, Ming L Kuang, Wei Liang, Ilya V. Kolmanovsky, Anthony Mark PhillipsAbstract:Hybrid electric vehicles exploit energy production and energy storage systems to achieve improved fuel economy with respect to conventional powertrains. In order to maximize such improvements, advanced control strategies are needed for deciding the amount of energy to be produced and stored. In this paper we propose an approach for energy management of a series hybrid electric vehicle (SHEV). This approach focuses on maximizing the Pointwise powertrain efficiency, rather than the overall fuel consumption. For a given power request the steady state Engine Operating Point is chosen to maximize the efficiency. A control algorithm regulates the transitions between different Operating Points, by using the battery to smoothen the Engine transients. Due to the constrained nature of the transient smoothing problem, we implement the control algorithm by model predictive control. Experimental testing on the UDDS cycle shows improved fuel economy with respect to two baseline strategies.