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Dissertation
Master thesis : Étude méthodologique des risques aéroélastiques des joints interflap
Authors: --- --- ---
Year: 2019 Publisher: Liège Université de Liège (ULiège)

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Abstract

This thesis aims to initiate the investigation of aeroelastic risks of interflap seals. The latters are located between the inboard and outboard flaps in order to ensure an aerodynamic profile. They are made of an elastomeric material and reinforced by several plies of Glass-Carbon Fiber Reinforced Plastics (G-CFRP). During test flights performed by the aircraft manufacturer, aeroelastic phenomena occurred on these parts. The issue was solved by increasing the number of plies of the reinforcement material. However, this solution is purely empirical and it makes their design quite cumbersome. A methodological study on the fluid and structure dynamics is therefore carried out in order to gain expertise to master aeroelastic risk of elastomeric structures. It should be stressed that an actual aeroelastic study is not conducted in this work. Indeed, the present work does not take into account the fluid-structure interaction which characterises aeroelastic phenomena. As a starting point, the fluid and structure dynamics are decoupled. A two-dimensional CFD analysis at low-subsonic conditions is performed and aims to identify the flow features which can be at the origin of the vibrations the seals suffered from. Additionally, it gives a more thorough understanding of the flow physics around a high-lift configuration (three-element airfoil). The analysis reveals the shedding of vortices at the trailing edge of the flap, causing quasi-periodic load oscillations on the latter geometry. The tendencies on the flow quantities of interest when the altitude and the angle of attack are modified are also identified, showing that the angle of attack may have a non-negligible impact. On the other hand, a structural analysis is done in order to extract the modal properties of the seals in their flight configuration (prestressed state). In parallel, an experimental analysis was performed in the purpose to validate the numerical model. The structural analysis allows to understand the influence of the prestress of the seals and the flap setting on the modal properties. However, those properties were obtained after the linearization of the highly non-linear structure and they must be interpreted with precaution. Finally, a qualitative comparison between the results from the CFD and structural analyses is made to briefly introduce and discuss the potential aeroelastic risks the structure may encounter in the investigated conditions. The evolution of the aerodynamic forces on the flap reports non-negligible amplitudes of oscillation with respect to the time-averaged value, especially if we consider flexible bodies such as the investigated seals. The excitation frequency at the nominal conditions is found dangerously close to the resonance frequencies of two modes of a particular stacking version of the seals. The excitation mechanism finally confirms the possibility for those modes to be excited.


Book
Battery Systems and Energy Storage beyond 2020
Authors: ---
Year: 2022 Publisher: Basel MDPI - Multidisciplinary Digital Publishing Institute

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Abstract

Currently, the transition from using the combustion engine to electrified vehicles is a matter of time and drives the demand for compact, high-energy-density rechargeable lithium ion batteries as well as for large stationary batteries to buffer solar and wind energy. The future challenges, e.g., the decarbonization of the CO2-intensive transportation sector, will push the need for such batteries even more. The cost of lithium ion batteries has become competitive in the last few years, and lithium ion batteries are expected to dominate the battery market in the next decade. However, despite remarkable progress, there is still a strong need for improvements in the performance of lithium ion batteries. Further improvements are not only expected in the field of electrochemistry but can also be readily achieved by improved manufacturing methods, diagnostic algorithms, lifetime prediction methods, the implementation of artificial intelligence, and digital twins. Therefore, this Special Issue addresses the progress in battery and energy storage development by covering areas that have been less focused on, such as digitalization, advanced cell production, modeling, and prediction aspects in concordance with progress in new materials and pack design solutions.

Keywords

Research & information: general --- battery energy storage --- renewable energy --- distribution network --- genetic algorithm --- particle swarm optimization --- electrolyte --- additive --- interface --- pseudocapacitance --- intercalation --- energy storage --- secondary battery --- sodium-ion --- lithium-ion battery --- traction battery --- waterjet-based recycling --- direct recycling --- life cycle assessment --- global warming potential --- electro-thermal model --- smart cell --- intelligent battery --- neural network --- temperature prediction --- DRT by time domain data --- pulse evaluation --- relaxation voltage --- online diagnosis --- degradation mechanisms --- EIS --- lead batteries --- safety concept --- safety battery --- battery monitoring --- electronic battery sensor --- failure modes --- failure distribution --- failure rates --- field battery investigation --- safe supply --- power supply system --- zinc ion batteries --- stationary energy storage --- polymer binder --- solvent --- doctor blade coating --- manganese dioxide --- mixing ratio --- electrochemical impedance spectroscopy --- SEM+EDX --- electrode fabrication --- lithium ion battery --- AC current injection --- bi-directional control --- charger --- lithium-ion battery cell --- volumetric expansion --- mechanical degradation --- state of charge dependency --- cell thickness --- mechanical aging --- non-uniform volume change --- solar photovoltaic energy --- redox flow battery --- residential load --- renewable energy integration --- battery sizing --- battery efficiency --- lithium battery --- temperature dependency --- ether based electrolyte --- insitu deposited lithium-metal electrode --- Coulombic efficiency --- lithium deposition morphology --- Li-ion battery --- thermal runaway --- model --- post-mortem analysis --- ecofriendly electrolyte for lithium-ion batteries --- increased thermal stability of electrolytes --- enhanced electrolyte safety based on high flash point --- tributylacetylcitrate --- acetyltributylcitrate --- electric vehicle battery --- disassembly --- disassembly planner design --- disassembly strategy optimization --- battery management system --- state monitoring --- state-of-charge --- digital twin --- battery model --- Doyle-Fuller-Newman model --- equivalent circuit model --- parameter estimation --- lithium-ion batteries --- temperature estimation --- sensorless temperature measurement --- artificial intelligence --- artificial neural network --- lithium-ion cells --- battery thermal management systems --- CFD simulations --- liquid cooling


Book
Battery Systems and Energy Storage beyond 2020
Authors: ---
Year: 2022 Publisher: Basel MDPI - Multidisciplinary Digital Publishing Institute

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Abstract

Currently, the transition from using the combustion engine to electrified vehicles is a matter of time and drives the demand for compact, high-energy-density rechargeable lithium ion batteries as well as for large stationary batteries to buffer solar and wind energy. The future challenges, e.g., the decarbonization of the CO2-intensive transportation sector, will push the need for such batteries even more. The cost of lithium ion batteries has become competitive in the last few years, and lithium ion batteries are expected to dominate the battery market in the next decade. However, despite remarkable progress, there is still a strong need for improvements in the performance of lithium ion batteries. Further improvements are not only expected in the field of electrochemistry but can also be readily achieved by improved manufacturing methods, diagnostic algorithms, lifetime prediction methods, the implementation of artificial intelligence, and digital twins. Therefore, this Special Issue addresses the progress in battery and energy storage development by covering areas that have been less focused on, such as digitalization, advanced cell production, modeling, and prediction aspects in concordance with progress in new materials and pack design solutions.

Keywords

battery energy storage --- renewable energy --- distribution network --- genetic algorithm --- particle swarm optimization --- electrolyte --- additive --- interface --- pseudocapacitance --- intercalation --- energy storage --- secondary battery --- sodium-ion --- lithium-ion battery --- traction battery --- waterjet-based recycling --- direct recycling --- life cycle assessment --- global warming potential --- electro-thermal model --- smart cell --- intelligent battery --- neural network --- temperature prediction --- DRT by time domain data --- pulse evaluation --- relaxation voltage --- online diagnosis --- degradation mechanisms --- EIS --- lead batteries --- safety concept --- safety battery --- battery monitoring --- electronic battery sensor --- failure modes --- failure distribution --- failure rates --- field battery investigation --- safe supply --- power supply system --- zinc ion batteries --- stationary energy storage --- polymer binder --- solvent --- doctor blade coating --- manganese dioxide --- mixing ratio --- electrochemical impedance spectroscopy --- SEM+EDX --- electrode fabrication --- lithium ion battery --- AC current injection --- bi-directional control --- charger --- lithium-ion battery cell --- volumetric expansion --- mechanical degradation --- state of charge dependency --- cell thickness --- mechanical aging --- non-uniform volume change --- solar photovoltaic energy --- redox flow battery --- residential load --- renewable energy integration --- battery sizing --- battery efficiency --- lithium battery --- temperature dependency --- ether based electrolyte --- insitu deposited lithium-metal electrode --- Coulombic efficiency --- lithium deposition morphology --- Li-ion battery --- thermal runaway --- model --- post-mortem analysis --- ecofriendly electrolyte for lithium-ion batteries --- increased thermal stability of electrolytes --- enhanced electrolyte safety based on high flash point --- tributylacetylcitrate --- acetyltributylcitrate --- electric vehicle battery --- disassembly --- disassembly planner design --- disassembly strategy optimization --- battery management system --- state monitoring --- state-of-charge --- digital twin --- battery model --- Doyle-Fuller-Newman model --- equivalent circuit model --- parameter estimation --- lithium-ion batteries --- temperature estimation --- sensorless temperature measurement --- artificial intelligence --- artificial neural network --- lithium-ion cells --- battery thermal management systems --- CFD simulations --- liquid cooling


Book
Battery Systems and Energy Storage beyond 2020
Authors: ---
Year: 2022 Publisher: Basel MDPI - Multidisciplinary Digital Publishing Institute

Loading...
Export citation

Choose an application

Bookmark

Abstract

Currently, the transition from using the combustion engine to electrified vehicles is a matter of time and drives the demand for compact, high-energy-density rechargeable lithium ion batteries as well as for large stationary batteries to buffer solar and wind energy. The future challenges, e.g., the decarbonization of the CO2-intensive transportation sector, will push the need for such batteries even more. The cost of lithium ion batteries has become competitive in the last few years, and lithium ion batteries are expected to dominate the battery market in the next decade. However, despite remarkable progress, there is still a strong need for improvements in the performance of lithium ion batteries. Further improvements are not only expected in the field of electrochemistry but can also be readily achieved by improved manufacturing methods, diagnostic algorithms, lifetime prediction methods, the implementation of artificial intelligence, and digital twins. Therefore, this Special Issue addresses the progress in battery and energy storage development by covering areas that have been less focused on, such as digitalization, advanced cell production, modeling, and prediction aspects in concordance with progress in new materials and pack design solutions.

Keywords

Research & information: general --- battery energy storage --- renewable energy --- distribution network --- genetic algorithm --- particle swarm optimization --- electrolyte --- additive --- interface --- pseudocapacitance --- intercalation --- energy storage --- secondary battery --- sodium-ion --- lithium-ion battery --- traction battery --- waterjet-based recycling --- direct recycling --- life cycle assessment --- global warming potential --- electro-thermal model --- smart cell --- intelligent battery --- neural network --- temperature prediction --- DRT by time domain data --- pulse evaluation --- relaxation voltage --- online diagnosis --- degradation mechanisms --- EIS --- lead batteries --- safety concept --- safety battery --- battery monitoring --- electronic battery sensor --- failure modes --- failure distribution --- failure rates --- field battery investigation --- safe supply --- power supply system --- zinc ion batteries --- stationary energy storage --- polymer binder --- solvent --- doctor blade coating --- manganese dioxide --- mixing ratio --- electrochemical impedance spectroscopy --- SEM+EDX --- electrode fabrication --- lithium ion battery --- AC current injection --- bi-directional control --- charger --- lithium-ion battery cell --- volumetric expansion --- mechanical degradation --- state of charge dependency --- cell thickness --- mechanical aging --- non-uniform volume change --- solar photovoltaic energy --- redox flow battery --- residential load --- renewable energy integration --- battery sizing --- battery efficiency --- lithium battery --- temperature dependency --- ether based electrolyte --- insitu deposited lithium-metal electrode --- Coulombic efficiency --- lithium deposition morphology --- Li-ion battery --- thermal runaway --- model --- post-mortem analysis --- ecofriendly electrolyte for lithium-ion batteries --- increased thermal stability of electrolytes --- enhanced electrolyte safety based on high flash point --- tributylacetylcitrate --- acetyltributylcitrate --- electric vehicle battery --- disassembly --- disassembly planner design --- disassembly strategy optimization --- battery management system --- state monitoring --- state-of-charge --- digital twin --- battery model --- Doyle-Fuller-Newman model --- equivalent circuit model --- parameter estimation --- lithium-ion batteries --- temperature estimation --- sensorless temperature measurement --- artificial intelligence --- artificial neural network --- lithium-ion cells --- battery thermal management systems --- CFD simulations --- liquid cooling

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