Future Powertrain Technologies
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 fo...
Đã lưu trong:
| Định dạng: | Online |
|---|---|
| Ngôn ngữ: | Tiếng Anh |
| Được phát hành: |
MDPI - Multidisciplinary Digital Publishing Institute
2021
|
| Những chủ đề: | |
| Truy cập trực tuyến: | ONIX_20210501_9783039437535_1173 |
| Các nhãn: |
Không có thẻ, Là người đầu tiên thẻ bản ghi này!
|
| _version_ | 1869530780864086016 |
|---|---|
| collection | Directory of Open Access Books |
| description | 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. |
| format | Online |
| id | doab-20.500.12854ir-69427 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-694272024-04-11T15:10:38Z Future Powertrain Technologies Rinderknecht, Stephan Jardin, Philippe Esser, Arved 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 thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology 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. 2021-05-01T15:49:23Z 2021-05-01T15:49:23Z 2020 book ONIX_20210501_9783039437535_1173 9783039437535 9783039437542 https://directory.doabooks.org/handle/20.500.12854/69427 eng application/octet-stream Attribution 4.0 International https://mdpi.com/books/pdfview/book/3229 https://mdpi.com/books/pdfview/book/3229 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-03943-754-2 10.3390/books978-3-03943-754-2 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783039437535 9783039437542 266 Basel, Switzerland open access |
| spellingShingle | 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 thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology Future Powertrain Technologies |
| title | Future Powertrain Technologies |
| title_full | Future Powertrain Technologies |
| title_fullStr | Future Powertrain Technologies |
| title_full_unstemmed | Future Powertrain Technologies |
| title_short | Future Powertrain Technologies |
| title_sort | future powertrain technologies |
| topic | 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 thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology |
| topic_facet | 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 thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology |
| url | ONIX_20210501_9783039437535_1173 |