The Experts below are selected from a list of 331212 Experts worldwide ranked by ideXlab platform
Ajay K. Prasad - One of the best experts on this subject based on the ideXlab platform.
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Power management system for a Fuel Cell/battery hybrid vehicle incorporating Fuel Cell and battery degradation
International Journal of Hydrogen Energy, 2019Co-Authors: Yongqiang Wang, Scott Jason Moura, Suresh G. Advani, Ajay K. PrasadAbstract:Abstract Optimization of Fuel Cell/battery hybrid vehicle systems has primarily focused on reducing Fuel consumption. However, it is also necessary to focus on Fuel Cell and battery durability as inadequate lifespan is still a major barrier to the commercialization of Fuel Cell vehicles. Here, we introduce a power management strategy which concurrently accounts for Fuel consumption as well as Fuel Cell and battery degradation. Fuel Cell degradation is quantified using a simplified electrochemical model which provides an analytical solution for the decay of the electrochemical surface area (ECSA) in the Fuel Cell by accounting for the performance loss due to transient power load, start/stop cycles, idling and high power load. The results show that the performance loss based on remaining ECSA matches well with test data in the literature. A validated empirical model is used to relate Lithium-ion battery capacity decay to C-rate. Simulations are then conducted using a typical bus drive cycle to optimize the Fuel Cell/battery hybrid system. We demonstrate that including these degradation models in the objective function can effectively extend the lifetime of the Fuel Cell at the expense of higher battery capacity decay resulting in a lower average running cost over the lifetime of the vehicle.
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power management system for a Fuel Cell battery hybrid vehicle incorporating Fuel Cell and battery degradation
International Journal of Hydrogen Energy, 2019Co-Authors: Yongqiang Wang, Scott Jason Moura, Suresh G. Advani, Ajay K. PrasadAbstract:Abstract Optimization of Fuel Cell/battery hybrid vehicle systems has primarily focused on reducing Fuel consumption. However, it is also necessary to focus on Fuel Cell and battery durability as inadequate lifespan is still a major barrier to the commercialization of Fuel Cell vehicles. Here, we introduce a power management strategy which concurrently accounts for Fuel consumption as well as Fuel Cell and battery degradation. Fuel Cell degradation is quantified using a simplified electrochemical model which provides an analytical solution for the decay of the electrochemical surface area (ECSA) in the Fuel Cell by accounting for the performance loss due to transient power load, start/stop cycles, idling and high power load. The results show that the performance loss based on remaining ECSA matches well with test data in the literature. A validated empirical model is used to relate Lithium-ion battery capacity decay to C-rate. Simulations are then conducted using a typical bus drive cycle to optimize the Fuel Cell/battery hybrid system. We demonstrate that including these degradation models in the objective function can effectively extend the lifetime of the Fuel Cell at the expense of higher battery capacity decay resulting in a lower average running cost over the lifetime of the vehicle.
Moujan Kazerani - One of the best experts on this subject based on the ideXlab platform.
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A Comparative Study of Fuel-Cell–Battery, Fuel-Cell–Ultracapacitor, and Fuel-Cell–Battery–Ultracapacitor Vehicles
IEEE Transactions on Vehicular Technology, 2008Co-Authors: Jennifer Bauman, Moujan KazeraniAbstract:Although many researchers have investigated the use of different powertrain topologies, component sizes, and control strategies in Fuel-Cell vehicles, a detailed parametric study of the vehicle types must be conducted before a fair comparison of Fuel-Cell vehicle types can be performed. This paper compares the near-optimal configurations for three topologies of vehicles: Fuel-Cell-battery, Fuel-Cell-ultracapacitor, and Fuel-Cell-battery-ultracapacitor. The objective function includes performance, Fuel economy, and powertrain cost. The vehicle models, including detailed dc/dc converter models, are programmed in Matlab/Simulink for the customized parametric study. A controller variable for each vehicle type is varied in the optimization.
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A comparative study of Fuel-Cell-battery, Fuel-Cell-ultracapacitor, and Fuel-Cell-battery-ultracapacitor vehicles
IEEE Transactions on Vehicular Technology, 2008Co-Authors: Jennifer Bauman, Moujan KazeraniAbstract:Although many researchers have investigated the use of different powertrain topologies, component sizes, and control strategies in Fuel-Cell vehicles, a detailed parametric study of the vehicle types must be conducted before a fair comparison of Fuel-Cell vehicle types can be performed. This paper compares the near-optimal configurations for three topologies of vehicles: Fuel-Cell-battery, Fuel-Cell-ultracapacitor, and Fuel-Cell-battery-ultracapacitor. The objective function includes performance, Fuel economy, and powertrain cost. The vehicle models, including detailed dc/dc converter models, are programmed in Matlab/Simulink for the customized parametric study. A controller variable for each vehicle type is varied in the optimization.
Yongqiang Wang - One of the best experts on this subject based on the ideXlab platform.
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Power management system for a Fuel Cell/battery hybrid vehicle incorporating Fuel Cell and battery degradation
International Journal of Hydrogen Energy, 2019Co-Authors: Yongqiang Wang, Scott Jason Moura, Suresh G. Advani, Ajay K. PrasadAbstract:Abstract Optimization of Fuel Cell/battery hybrid vehicle systems has primarily focused on reducing Fuel consumption. However, it is also necessary to focus on Fuel Cell and battery durability as inadequate lifespan is still a major barrier to the commercialization of Fuel Cell vehicles. Here, we introduce a power management strategy which concurrently accounts for Fuel consumption as well as Fuel Cell and battery degradation. Fuel Cell degradation is quantified using a simplified electrochemical model which provides an analytical solution for the decay of the electrochemical surface area (ECSA) in the Fuel Cell by accounting for the performance loss due to transient power load, start/stop cycles, idling and high power load. The results show that the performance loss based on remaining ECSA matches well with test data in the literature. A validated empirical model is used to relate Lithium-ion battery capacity decay to C-rate. Simulations are then conducted using a typical bus drive cycle to optimize the Fuel Cell/battery hybrid system. We demonstrate that including these degradation models in the objective function can effectively extend the lifetime of the Fuel Cell at the expense of higher battery capacity decay resulting in a lower average running cost over the lifetime of the vehicle.
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power management system for a Fuel Cell battery hybrid vehicle incorporating Fuel Cell and battery degradation
International Journal of Hydrogen Energy, 2019Co-Authors: Yongqiang Wang, Scott Jason Moura, Suresh G. Advani, Ajay K. PrasadAbstract:Abstract Optimization of Fuel Cell/battery hybrid vehicle systems has primarily focused on reducing Fuel consumption. However, it is also necessary to focus on Fuel Cell and battery durability as inadequate lifespan is still a major barrier to the commercialization of Fuel Cell vehicles. Here, we introduce a power management strategy which concurrently accounts for Fuel consumption as well as Fuel Cell and battery degradation. Fuel Cell degradation is quantified using a simplified electrochemical model which provides an analytical solution for the decay of the electrochemical surface area (ECSA) in the Fuel Cell by accounting for the performance loss due to transient power load, start/stop cycles, idling and high power load. The results show that the performance loss based on remaining ECSA matches well with test data in the literature. A validated empirical model is used to relate Lithium-ion battery capacity decay to C-rate. Simulations are then conducted using a typical bus drive cycle to optimize the Fuel Cell/battery hybrid system. We demonstrate that including these degradation models in the objective function can effectively extend the lifetime of the Fuel Cell at the expense of higher battery capacity decay resulting in a lower average running cost over the lifetime of the vehicle.
Frano Barbir - One of the best experts on this subject based on the ideXlab platform.
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Fuel Cell Modeling
PEM Fuel Cells, 2013Co-Authors: Frano BarbirAbstract:This chapter provides an introduction to Fuel Cell modeling. Requirements include power and energy requirements, environmental operating conditions, size and volume limitations, and safety specifications. To provide answers quickly, the designer must select a model that balances robustness, accuracy, and computational effort. Physical phenomena occurring within a polymer electrolyte membrane (PEM) Fuel Cell can in general be represented by the solution of conservation equations for mass, momentum, energy, species, and current transport. Equations that deal specifically with phenomena in a Fuel Cell are Darcy's equation for fluid flow in conduits and porous media, Pick's Law for diffusion, Stefan–Maxwell equation for multispecies diffusion, Fourier's Law for heat conduction, Faraday's Law for relationship between electrical current and consumption of reactants in an electrochemical reaction, Butler–Volmer equation for relationship between electrical current and potential, and Ohm's Law of electrical current conduction. The set of equations is applied to a computational domain using finite difference, finite volume, or finite element methods. Several examples are used to illustrate the procedure and capability of PEM Fuel Cell models: Bernardi–Verbrugge model, You–Liu model, two-dimensional above-the-channel model, two-dimensional along-the-channel model, and three-dimensional models. Several CFD software distributors, such as FemLab, FLUENT, and CFD Research (now ESI Group), have developed Fuel Cell modules that can be used in conjunction with the original CFD codes.
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Fuel Cell Applications
PEM Fuel Cells, 2013Co-Authors: Frano BarbirAbstract:Fuel Cells can generate power from a fraction of Watt to hundreds of kilowatts. Fuel Cells are ideal for distributed power generation at the level of individual home, building, or community, offering tremendous flexibility in power supply. In some cases both power and heat produced by a Fuel Cell may be utilized resulting in very high overall efficiency. A hydrogen Fuel Cell does not generate any pollution. The only by-product is pure water, which leaves the system as both liquid and vapor, depending on the operating conditions and system configuration. An automotive Fuel Cell system configuration greatly depends on the choice of Fuel. Possible Fuels for the Fuel Cell vehicles are hydrogen, gasoline, or methanol, each with its own advantages and disadvantages. The selection of the Fuel depends on several factors such as Fuel supply infrastructure, cost of Fuel, and environmental implications. Stationary Fuel Cell power systems will enable the concept of distributed generation, allowing the utility companies to increase their installed capacity following the increase in demand more closely, rather than anticipating the demand in huge increments by adding gigantic power plants.
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Fuel Cell Diagnostics
PEM Fuel Cells, 2005Co-Authors: Frano BarbirAbstract:Diagnostics can be used in the Fuel Cell design process to determine if there is anything wrong with the Fuel Cell and point to possible causes, as well as to calibrate or validate the model. A polymer electrolyte membrane (PEM) Fuel Cell in operation is always between having too much water and not having enough water. Fuel Cell performance is characterized by its polarization curve, that is, a plot of “Cell potential” versus “current density.” Drying of the membrane could result in resistance increase. One of the methods to measure the resistance in an operational Fuel Cell is the “current interrupt method.” The difference between the Cell voltage before and after the current interrupt, divided by the current, is the Cell resistance. Even more information about the Cell parameters may be obtained through AC impedance spectroscopy. In this method, an AC signal of known amplitude and frequency is sent through the Cell, and the phase change and amplitude of the response are recorded. Operating conditions, such as pressure, temperature, flow rates, and humidity of reactant gases, have a great effect on the PEM Fuel Cell performance. The use of pressure drop as a diagnostic tool for Cell flooding and drying is illustrated through several examples. Also interesting and useful information about the inner workings of a Fuel Cell may be obtained by current density mapping. For diagnostic purposes a Fuel Cell may be exposed to a neutron beam as well. The use of neutrons to image Fuel Cells was first demonstrated in 1998 by Bellows et al.
Jennifer Bauman - One of the best experts on this subject based on the ideXlab platform.
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A Comparative Study of Fuel-Cell–Battery, Fuel-Cell–Ultracapacitor, and Fuel-Cell–Battery–Ultracapacitor Vehicles
IEEE Transactions on Vehicular Technology, 2008Co-Authors: Jennifer Bauman, Moujan KazeraniAbstract:Although many researchers have investigated the use of different powertrain topologies, component sizes, and control strategies in Fuel-Cell vehicles, a detailed parametric study of the vehicle types must be conducted before a fair comparison of Fuel-Cell vehicle types can be performed. This paper compares the near-optimal configurations for three topologies of vehicles: Fuel-Cell-battery, Fuel-Cell-ultracapacitor, and Fuel-Cell-battery-ultracapacitor. The objective function includes performance, Fuel economy, and powertrain cost. The vehicle models, including detailed dc/dc converter models, are programmed in Matlab/Simulink for the customized parametric study. A controller variable for each vehicle type is varied in the optimization.
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A comparative study of Fuel-Cell-battery, Fuel-Cell-ultracapacitor, and Fuel-Cell-battery-ultracapacitor vehicles
IEEE Transactions on Vehicular Technology, 2008Co-Authors: Jennifer Bauman, Moujan KazeraniAbstract:Although many researchers have investigated the use of different powertrain topologies, component sizes, and control strategies in Fuel-Cell vehicles, a detailed parametric study of the vehicle types must be conducted before a fair comparison of Fuel-Cell vehicle types can be performed. This paper compares the near-optimal configurations for three topologies of vehicles: Fuel-Cell-battery, Fuel-Cell-ultracapacitor, and Fuel-Cell-battery-ultracapacitor. The objective function includes performance, Fuel economy, and powertrain cost. The vehicle models, including detailed dc/dc converter models, are programmed in Matlab/Simulink for the customized parametric study. A controller variable for each vehicle type is varied in the optimization.
