Energy Storage and Management for Electric Vehicles
This Special Edition of Energies on “Energy Storage and Management for Electric Vehicles” draws together a collection of research papers that critically evaluates key areas of innovation and novelty when designing and managing the high-voltage battery system within an electrified powertrain. The add...
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| Váldodahkkit: | , , |
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| Materiálatiipa: | Online |
| Giella: | eaŋgalasgiella |
| Almmustuhtton: |
MDPI - Multidisciplinary Digital Publishing Institute
2021
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| Fáttát: | |
| Liŋkkat: | 43627 |
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| _version_ | 1869525737758785536 |
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| author | Marco, James Truong, Dinh Quang Longo, Stefano |
| author_browse | Longo, Stefano Marco, James Truong, Dinh Quang |
| author_facet | Marco, James Truong, Dinh Quang Longo, Stefano |
| author_sort | Marco, James |
| collection | Directory of Open Access Books |
| description | This Special Edition of Energies on “Energy Storage and Management for Electric Vehicles” draws together a collection of research papers that critically evaluates key areas of innovation and novelty when designing and managing the high-voltage battery system within an electrified powertrain. The addressed topics include design optimisation, mathematical modelling, control engineering, thermal management, and component sizing. |
| format | Online |
| id | doab-20.500.12854ir-46388 |
| 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-463882024-04-11T15:10:27Z Energy Storage and Management for Electric Vehicles Marco, James Truong, Dinh Quang Longo, Stefano TA1-2040 T1-995 battery charging lithium ion battery adaptive forgetting factor operating expenses cell sorting linear programming Simulink equivalent circuit model genetic algorithm multi-parameters sorting hybrid power system electric vehicle energy storage ageing and degradation parameter estimation Simscape supercapacitors state-of-health (SOH) battery energy storage system ECE15 efficiency residential battery storage timetable optimization self-discharge dynamic programming approach state of charge estimation regenerative energy fuel cell energy storage system nonlinear battery model charging scheme Li-Sulfur batteries Matlab dynamic flow rate optimization rule-based optimal strategy second-life energy storage applications Identification hybrid vehicle recursive least square thermal modelling zinc–nickel single-flow battery Luenberger observer HPPC vehicle-to-building ?-constraint method lithium-ion battery life cycle assessment parameter identification Lipschitz nonlinear system lithium titanate oxide batteries batteries battery degradation improved artificial bee colony optimal control thermal behaviour supercapacitor models battery cycle-life extension cycle-life self-organizing maps clustering principal component analysis thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology This Special Edition of Energies on “Energy Storage and Management for Electric Vehicles” draws together a collection of research papers that critically evaluates key areas of innovation and novelty when designing and managing the high-voltage battery system within an electrified powertrain. The addressed topics include design optimisation, mathematical modelling, control engineering, thermal management, and component sizing. 2021-02-11T12:33:01Z 2021-02-11T12:33:01Z 2020-01-30 16:39:46 2020 book 43627 9783039218639 9783039218622 https://directory.doabooks.org/handle/20.500.12854/46388 eng application/octet-stream Attribution-NonCommercial-NoDerivatives 4.0 International https://www.mdpi.com/books/pdfview/book/1948 https://www.mdpi.com/books/pdfview/book/1948 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-03921-863-9 10.3390/books978-3-03921-863-9 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783039218639 9783039218622 238 open access |
| spellingShingle | TA1-2040 T1-995 battery charging lithium ion battery adaptive forgetting factor operating expenses cell sorting linear programming Simulink equivalent circuit model genetic algorithm multi-parameters sorting hybrid power system electric vehicle energy storage ageing and degradation parameter estimation Simscape supercapacitors state-of-health (SOH) battery energy storage system ECE15 efficiency residential battery storage timetable optimization self-discharge dynamic programming approach state of charge estimation regenerative energy fuel cell energy storage system nonlinear battery model charging scheme Li-Sulfur batteries Matlab dynamic flow rate optimization rule-based optimal strategy second-life energy storage applications Identification hybrid vehicle recursive least square thermal modelling zinc–nickel single-flow battery Luenberger observer HPPC vehicle-to-building ?-constraint method lithium-ion battery life cycle assessment parameter identification Lipschitz nonlinear system lithium titanate oxide batteries batteries battery degradation improved artificial bee colony optimal control thermal behaviour supercapacitor models battery cycle-life extension cycle-life self-organizing maps clustering principal component analysis thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology Marco, James Truong, Dinh Quang Longo, Stefano Energy Storage and Management for Electric Vehicles |
| title | Energy Storage and Management for Electric Vehicles |
| title_full | Energy Storage and Management for Electric Vehicles |
| title_fullStr | Energy Storage and Management for Electric Vehicles |
| title_full_unstemmed | Energy Storage and Management for Electric Vehicles |
| title_short | Energy Storage and Management for Electric Vehicles |
| title_sort | energy storage and management for electric vehicles |
| topic | TA1-2040 T1-995 battery charging lithium ion battery adaptive forgetting factor operating expenses cell sorting linear programming Simulink equivalent circuit model genetic algorithm multi-parameters sorting hybrid power system electric vehicle energy storage ageing and degradation parameter estimation Simscape supercapacitors state-of-health (SOH) battery energy storage system ECE15 efficiency residential battery storage timetable optimization self-discharge dynamic programming approach state of charge estimation regenerative energy fuel cell energy storage system nonlinear battery model charging scheme Li-Sulfur batteries Matlab dynamic flow rate optimization rule-based optimal strategy second-life energy storage applications Identification hybrid vehicle recursive least square thermal modelling zinc–nickel single-flow battery Luenberger observer HPPC vehicle-to-building ?-constraint method lithium-ion battery life cycle assessment parameter identification Lipschitz nonlinear system lithium titanate oxide batteries batteries battery degradation improved artificial bee colony optimal control thermal behaviour supercapacitor models battery cycle-life extension cycle-life self-organizing maps clustering principal component analysis thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology |
| topic_facet | TA1-2040 T1-995 battery charging lithium ion battery adaptive forgetting factor operating expenses cell sorting linear programming Simulink equivalent circuit model genetic algorithm multi-parameters sorting hybrid power system electric vehicle energy storage ageing and degradation parameter estimation Simscape supercapacitors state-of-health (SOH) battery energy storage system ECE15 efficiency residential battery storage timetable optimization self-discharge dynamic programming approach state of charge estimation regenerative energy fuel cell energy storage system nonlinear battery model charging scheme Li-Sulfur batteries Matlab dynamic flow rate optimization rule-based optimal strategy second-life energy storage applications Identification hybrid vehicle recursive least square thermal modelling zinc–nickel single-flow battery Luenberger observer HPPC vehicle-to-building ?-constraint method lithium-ion battery life cycle assessment parameter identification Lipschitz nonlinear system lithium titanate oxide batteries batteries battery degradation improved artificial bee colony optimal control thermal behaviour supercapacitor models battery cycle-life extension cycle-life self-organizing maps clustering principal component analysis thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology |
| url | 43627 |
| work_keys_str_mv | AT marcojames energystorageandmanagementforelectricvehicles AT truongdinhquang energystorageandmanagementforelectricvehicles AT longostefano energystorageandmanagementforelectricvehicles |