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The adsorption of proteins at interfaces plays a role in many ?elds, such as health, food, environment and analysis. Fundamental aspects are useful when considering applications. We focus here especially on solid-liquid interfaces and present a few fundamental studies regarding adsorption - netics and conformational changes, and examples of applications to sensors and membranes. The ?rst part is dedicated to fundamental studies performed using - tical waveguide lightmode spectroscopy, as an example of a technique that has the advantage of not requiring labelled proteins, but is limited to s- ci?c supports. Conversely, the radiolabelling of proteins, which has the disadvantage of any labelling process, allows application to any kind of s- faces. As proteins bear both positive and negative charges, we can expect thein?uenceofanelectric?eldnormaltothe interfaceonthe pack- ing order at interfaces. The re?ning of data treatment may also lead to the determination of useful structural parameters. The balance between protein-surface and protein-protein interactions is a key point for the - scription of the structure at high coverage of the surface. Electrokinetic methods, like measurement of the streaming potential, may be helpful in the electrical characterisation of the interfacial layer facing the solution. The second part includes different bench techniques that were dev- oped to improve the sensitivity of the characterisation of the orientation and structure of the proteins at interfaces: dual polarisation interferometry and total internal re?ection ellipsometry are such recent examples.
Adsorption --- Proteins --- Solid-liquid interfaces --- Adsorption --- Protéines --- Interfaces solide-liquide --- EPUB-LIV-FT LIVCHIMI SPRINGER-B
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Among the various factors greatly influencing the development process of future powertrain technologies, the trends in climate change and digitalization are of huge public interest. To handle these trends, new disruptive technologies are integrated into the development process. They open up space for diverse research which is distributed over the entire vehicle design process. This book contains recent research articles which incorporate results for selecting and designing powertrain topology in consideration of the vehicle operating strategy as well as results for handling the reliability of new powertrain components. The field of investigation spans from the identification of ecologically optimal transformation of the existent vehicle fleet to the development of machine learning-based operating strategies and the comparison of complex hybrid electric vehicle topologies to reduce CO2 emissions.
History of engineering & technology --- degree of hybridization --- energy management --- hybrid propulsion --- proton exchange membrane fuel cell --- simulink, supercapacitor --- fleet transition --- optimization --- life-cycle assessment --- greenhouse gas --- global warming potential --- vehicle powertrain concepts --- dedicated hybrid transmission --- benchmarking --- hybrid electric vehicle --- efficiency --- topology optimization --- drive train optimization --- powertrain concepts --- structural reliability --- uncertainties --- ensemble learning --- fault diagnosis --- VFS --- GA --- input feedforward --- fault observation --- pressure sensor --- aftermarket hybridization kit --- emissions mitigation --- local driving cycle --- plug-in hybrid electric vehicles --- vehicle efficiency --- plug-in hybrid electric vehicle --- electromechanical coupling --- electrified mechanical transmission --- multi-purpose vehicle --- machine learning --- powertrain control --- automatic re-training --- hybrid electric vehicles --- dynamic programming --- transmission --- vehicle emissions --- particle measurement programme (PMP) --- portable emissions measurement systems (PEMS) --- volatile removal efficiency --- non-volatiles --- solid particle number --- catalytic stripper --- evaporation tube --- artefact --- E-Mobility --- powertrain design --- high-speed --- electric machine design --- transmission design --- gearbox --- electric vehicles --- range extenders --- zinc–air battery --- lithium-ion battery --- electric vehicle transition --- Arrhenius model --- losses --- mission profile --- inverter --- powertrain --- Rainflow algorithm --- reliability --- thermal network --- electric vehicle --- n/a --- zinc-air battery
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Among the various factors greatly influencing the development process of future powertrain technologies, the trends in climate change and digitalization are of huge public interest. To handle these trends, new disruptive technologies are integrated into the development process. They open up space for diverse research which is distributed over the entire vehicle design process. This book contains recent research articles which incorporate results for selecting and designing powertrain topology in consideration of the vehicle operating strategy as well as results for handling the reliability of new powertrain components. The field of investigation spans from the identification of ecologically optimal transformation of the existent vehicle fleet to the development of machine learning-based operating strategies and the comparison of complex hybrid electric vehicle topologies to reduce CO2 emissions.
degree of hybridization --- energy management --- hybrid propulsion --- proton exchange membrane fuel cell --- simulink, supercapacitor --- fleet transition --- optimization --- life-cycle assessment --- greenhouse gas --- global warming potential --- vehicle powertrain concepts --- dedicated hybrid transmission --- benchmarking --- hybrid electric vehicle --- efficiency --- topology optimization --- drive train optimization --- powertrain concepts --- structural reliability --- uncertainties --- ensemble learning --- fault diagnosis --- VFS --- GA --- input feedforward --- fault observation --- pressure sensor --- aftermarket hybridization kit --- emissions mitigation --- local driving cycle --- plug-in hybrid electric vehicles --- vehicle efficiency --- plug-in hybrid electric vehicle --- electromechanical coupling --- electrified mechanical transmission --- multi-purpose vehicle --- machine learning --- powertrain control --- automatic re-training --- hybrid electric vehicles --- dynamic programming --- transmission --- vehicle emissions --- particle measurement programme (PMP) --- portable emissions measurement systems (PEMS) --- volatile removal efficiency --- non-volatiles --- solid particle number --- catalytic stripper --- evaporation tube --- artefact --- E-Mobility --- powertrain design --- high-speed --- electric machine design --- transmission design --- gearbox --- electric vehicles --- range extenders --- zinc–air battery --- lithium-ion battery --- electric vehicle transition --- Arrhenius model --- losses --- mission profile --- inverter --- powertrain --- Rainflow algorithm --- reliability --- thermal network --- electric vehicle --- n/a --- zinc-air battery
Choose an application
Among the various factors greatly influencing the development process of future powertrain technologies, the trends in climate change and digitalization are of huge public interest. To handle these trends, new disruptive technologies are integrated into the development process. They open up space for diverse research which is distributed over the entire vehicle design process. This book contains recent research articles which incorporate results for selecting and designing powertrain topology in consideration of the vehicle operating strategy as well as results for handling the reliability of new powertrain components. The field of investigation spans from the identification of ecologically optimal transformation of the existent vehicle fleet to the development of machine learning-based operating strategies and the comparison of complex hybrid electric vehicle topologies to reduce CO2 emissions.
History of engineering & technology --- degree of hybridization --- energy management --- hybrid propulsion --- proton exchange membrane fuel cell --- simulink, supercapacitor --- fleet transition --- optimization --- life-cycle assessment --- greenhouse gas --- global warming potential --- vehicle powertrain concepts --- dedicated hybrid transmission --- benchmarking --- hybrid electric vehicle --- efficiency --- topology optimization --- drive train optimization --- powertrain concepts --- structural reliability --- uncertainties --- ensemble learning --- fault diagnosis --- VFS --- GA --- input feedforward --- fault observation --- pressure sensor --- aftermarket hybridization kit --- emissions mitigation --- local driving cycle --- plug-in hybrid electric vehicles --- vehicle efficiency --- plug-in hybrid electric vehicle --- electromechanical coupling --- electrified mechanical transmission --- multi-purpose vehicle --- machine learning --- powertrain control --- automatic re-training --- hybrid electric vehicles --- dynamic programming --- transmission --- vehicle emissions --- particle measurement programme (PMP) --- portable emissions measurement systems (PEMS) --- volatile removal efficiency --- non-volatiles --- solid particle number --- catalytic stripper --- evaporation tube --- artefact --- E-Mobility --- powertrain design --- high-speed --- electric machine design --- transmission design --- gearbox --- electric vehicles --- range extenders --- zinc-air battery --- lithium-ion battery --- electric vehicle transition --- Arrhenius model --- losses --- mission profile --- inverter --- powertrain --- Rainflow algorithm --- reliability --- thermal network --- electric vehicle --- degree of hybridization --- energy management --- hybrid propulsion --- proton exchange membrane fuel cell --- simulink, supercapacitor --- fleet transition --- optimization --- life-cycle assessment --- greenhouse gas --- global warming potential --- vehicle powertrain concepts --- dedicated hybrid transmission --- benchmarking --- hybrid electric vehicle --- efficiency --- topology optimization --- drive train optimization --- powertrain concepts --- structural reliability --- uncertainties --- ensemble learning --- fault diagnosis --- VFS --- GA --- input feedforward --- fault observation --- pressure sensor --- aftermarket hybridization kit --- emissions mitigation --- local driving cycle --- plug-in hybrid electric vehicles --- vehicle efficiency --- plug-in hybrid electric vehicle --- electromechanical coupling --- electrified mechanical transmission --- multi-purpose vehicle --- machine learning --- powertrain control --- automatic re-training --- hybrid electric vehicles --- dynamic programming --- transmission --- vehicle emissions --- particle measurement programme (PMP) --- portable emissions measurement systems (PEMS) --- volatile removal efficiency --- non-volatiles --- solid particle number --- catalytic stripper --- evaporation tube --- artefact --- E-Mobility --- powertrain design --- high-speed --- electric machine design --- transmission design --- gearbox --- electric vehicles --- range extenders --- zinc-air battery --- lithium-ion battery --- electric vehicle transition --- Arrhenius model --- losses --- mission profile --- inverter --- powertrain --- Rainflow algorithm --- reliability --- thermal network --- electric vehicle
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