The Experts below are selected from a list of 3061536 Experts worldwide ranked by ideXlab platform
Tedjani Mesbahi - One of the best experts on this subject based on the ideXlab platform.
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Combined Optimal Sizing and Control of Li-Ion Battery/Supercapacitor Embedded Power Supply Using Hybrid Particle Swarm–Nelder–Mead Algorithm
IEEE Transactions on Sustainable Energy, 2017Co-Authors: Tedjani Mesbahi, Fouad Khenfri, Nassim Rizoug, Patrick Bartholomeüs, Philippe Le MoigneAbstract:This paper examines and optimizes parameters that affect the sizing and Control of a hybrid embedded power supply composed of Li-ion batteries and supercapacitors in electric vehicle applications. High demands including power and energy density, low charge/discharge power stress on the battery (long lifetime), lightweight design, and relatively modest cost at the same time cannot be provided solely by batteries or supercapacitors. For this reason, we propose the use of a Li-ion battery/supercapacitor hybrid embedded power supply for an urban electric vehicle. The sizing process of this system including the optimization of the power sharing is done thanks to a developed hybrid Particle Swarm–Nelder–Mead algorithm involving multi-objective optimization. This approach also allows us to optimize the proposed energy management strategies based on frequency Rule-Based Control and different ways of supercapacitors energy regulation. Obtained results show that the hybrid embedded power supply with the proposed Control strategies is able to offer the best performances for the chosen electric vehicle in terms of weight, initial cost, and battery lifetime.
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combined optimal sizing and Control of li ion battery supercapacitor embedded power supply using hybrid particle swarm nelder mead algorithm
IEEE Transactions on Sustainable Energy, 2017Co-Authors: Tedjani Mesbahi, Fouad Khenfri, Nassim Rizoug, Patrick Bartholomeüs, Philippe Le MoigneAbstract:This paper examines and optimizes parameters that affect the sizing and Control of a hybrid embedded power supply composed of Li-ion batteries and supercapacitors in electric vehicle applications. High demands including power and energy density, low charge/discharge power stress on the battery (long lifetime), lightweight design, and relatively modest cost at the same time cannot be provided solely by batteries or supercapacitors. For this reason, we propose the use of a Li-ion battery/supercapacitor hybrid embedded power supply for an urban electric vehicle. The sizing process of this system including the optimization of the power sharing is done thanks to a developed hybrid Particle Swarm–Nelder–Mead algorithm involving multi-objective optimization. This approach also allows us to optimize the proposed energy management strategies based on frequency Rule-Based Control and different ways of supercapacitors energy regulation. Obtained results show that the hybrid embedded power supply with the proposed Control strategies is able to offer the best performances for the chosen electric vehicle in terms of weight, initial cost, and battery lifetime.
Philippe Le Moigne - One of the best experts on this subject based on the ideXlab platform.
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Combined Optimal Sizing and Control of Li-Ion Battery/Supercapacitor Embedded Power Supply Using Hybrid Particle Swarm–Nelder–Mead Algorithm
IEEE Transactions on Sustainable Energy, 2017Co-Authors: Tedjani Mesbahi, Fouad Khenfri, Nassim Rizoug, Patrick Bartholomeüs, Philippe Le MoigneAbstract:This paper examines and optimizes parameters that affect the sizing and Control of a hybrid embedded power supply composed of Li-ion batteries and supercapacitors in electric vehicle applications. High demands including power and energy density, low charge/discharge power stress on the battery (long lifetime), lightweight design, and relatively modest cost at the same time cannot be provided solely by batteries or supercapacitors. For this reason, we propose the use of a Li-ion battery/supercapacitor hybrid embedded power supply for an urban electric vehicle. The sizing process of this system including the optimization of the power sharing is done thanks to a developed hybrid Particle Swarm–Nelder–Mead algorithm involving multi-objective optimization. This approach also allows us to optimize the proposed energy management strategies based on frequency Rule-Based Control and different ways of supercapacitors energy regulation. Obtained results show that the hybrid embedded power supply with the proposed Control strategies is able to offer the best performances for the chosen electric vehicle in terms of weight, initial cost, and battery lifetime.
Philippe Le Moigne - One of the best experts on this subject based on the ideXlab platform.
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combined optimal sizing and Control of li ion battery supercapacitor embedded power supply using hybrid particle swarm nelder mead algorithm
IEEE Transactions on Sustainable Energy, 2017Co-Authors: Tedjani Mesbahi, Fouad Khenfri, Nassim Rizoug, Patrick Bartholomeüs, Philippe Le MoigneAbstract:This paper examines and optimizes parameters that affect the sizing and Control of a hybrid embedded power supply composed of Li-ion batteries and supercapacitors in electric vehicle applications. High demands including power and energy density, low charge/discharge power stress on the battery (long lifetime), lightweight design, and relatively modest cost at the same time cannot be provided solely by batteries or supercapacitors. For this reason, we propose the use of a Li-ion battery/supercapacitor hybrid embedded power supply for an urban electric vehicle. The sizing process of this system including the optimization of the power sharing is done thanks to a developed hybrid Particle Swarm–Nelder–Mead algorithm involving multi-objective optimization. This approach also allows us to optimize the proposed energy management strategies based on frequency Rule-Based Control and different ways of supercapacitors energy regulation. Obtained results show that the hybrid embedded power supply with the proposed Control strategies is able to offer the best performances for the chosen electric vehicle in terms of weight, initial cost, and battery lifetime.
Patrick Bartholomeüs - One of the best experts on this subject based on the ideXlab platform.
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Combined Optimal Sizing and Control of Li-Ion Battery/Supercapacitor Embedded Power Supply Using Hybrid Particle Swarm–Nelder–Mead Algorithm
IEEE Transactions on Sustainable Energy, 2017Co-Authors: Tedjani Mesbahi, Fouad Khenfri, Nassim Rizoug, Patrick Bartholomeüs, Philippe Le MoigneAbstract:This paper examines and optimizes parameters that affect the sizing and Control of a hybrid embedded power supply composed of Li-ion batteries and supercapacitors in electric vehicle applications. High demands including power and energy density, low charge/discharge power stress on the battery (long lifetime), lightweight design, and relatively modest cost at the same time cannot be provided solely by batteries or supercapacitors. For this reason, we propose the use of a Li-ion battery/supercapacitor hybrid embedded power supply for an urban electric vehicle. The sizing process of this system including the optimization of the power sharing is done thanks to a developed hybrid Particle Swarm–Nelder–Mead algorithm involving multi-objective optimization. This approach also allows us to optimize the proposed energy management strategies based on frequency Rule-Based Control and different ways of supercapacitors energy regulation. Obtained results show that the hybrid embedded power supply with the proposed Control strategies is able to offer the best performances for the chosen electric vehicle in terms of weight, initial cost, and battery lifetime.
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combined optimal sizing and Control of li ion battery supercapacitor embedded power supply using hybrid particle swarm nelder mead algorithm
IEEE Transactions on Sustainable Energy, 2017Co-Authors: Tedjani Mesbahi, Fouad Khenfri, Nassim Rizoug, Patrick Bartholomeüs, Philippe Le MoigneAbstract:This paper examines and optimizes parameters that affect the sizing and Control of a hybrid embedded power supply composed of Li-ion batteries and supercapacitors in electric vehicle applications. High demands including power and energy density, low charge/discharge power stress on the battery (long lifetime), lightweight design, and relatively modest cost at the same time cannot be provided solely by batteries or supercapacitors. For this reason, we propose the use of a Li-ion battery/supercapacitor hybrid embedded power supply for an urban electric vehicle. The sizing process of this system including the optimization of the power sharing is done thanks to a developed hybrid Particle Swarm–Nelder–Mead algorithm involving multi-objective optimization. This approach also allows us to optimize the proposed energy management strategies based on frequency Rule-Based Control and different ways of supercapacitors energy regulation. Obtained results show that the hybrid embedded power supply with the proposed Control strategies is able to offer the best performances for the chosen electric vehicle in terms of weight, initial cost, and battery lifetime.
Nassim Rizoug - One of the best experts on this subject based on the ideXlab platform.
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Combined Optimal Sizing and Control of Li-Ion Battery/Supercapacitor Embedded Power Supply Using Hybrid Particle Swarm–Nelder–Mead Algorithm
IEEE Transactions on Sustainable Energy, 2017Co-Authors: Tedjani Mesbahi, Fouad Khenfri, Nassim Rizoug, Patrick Bartholomeüs, Philippe Le MoigneAbstract:This paper examines and optimizes parameters that affect the sizing and Control of a hybrid embedded power supply composed of Li-ion batteries and supercapacitors in electric vehicle applications. High demands including power and energy density, low charge/discharge power stress on the battery (long lifetime), lightweight design, and relatively modest cost at the same time cannot be provided solely by batteries or supercapacitors. For this reason, we propose the use of a Li-ion battery/supercapacitor hybrid embedded power supply for an urban electric vehicle. The sizing process of this system including the optimization of the power sharing is done thanks to a developed hybrid Particle Swarm–Nelder–Mead algorithm involving multi-objective optimization. This approach also allows us to optimize the proposed energy management strategies based on frequency Rule-Based Control and different ways of supercapacitors energy regulation. Obtained results show that the hybrid embedded power supply with the proposed Control strategies is able to offer the best performances for the chosen electric vehicle in terms of weight, initial cost, and battery lifetime.
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combined optimal sizing and Control of li ion battery supercapacitor embedded power supply using hybrid particle swarm nelder mead algorithm
IEEE Transactions on Sustainable Energy, 2017Co-Authors: Tedjani Mesbahi, Fouad Khenfri, Nassim Rizoug, Patrick Bartholomeüs, Philippe Le MoigneAbstract:This paper examines and optimizes parameters that affect the sizing and Control of a hybrid embedded power supply composed of Li-ion batteries and supercapacitors in electric vehicle applications. High demands including power and energy density, low charge/discharge power stress on the battery (long lifetime), lightweight design, and relatively modest cost at the same time cannot be provided solely by batteries or supercapacitors. For this reason, we propose the use of a Li-ion battery/supercapacitor hybrid embedded power supply for an urban electric vehicle. The sizing process of this system including the optimization of the power sharing is done thanks to a developed hybrid Particle Swarm–Nelder–Mead algorithm involving multi-objective optimization. This approach also allows us to optimize the proposed energy management strategies based on frequency Rule-Based Control and different ways of supercapacitors energy regulation. Obtained results show that the hybrid embedded power supply with the proposed Control strategies is able to offer the best performances for the chosen electric vehicle in terms of weight, initial cost, and battery lifetime.
