Battery Management System for Future Electric Vehicles
The future of electric vehicles relies nearly entirely on the design, monitoring, and control of the vehicle battery and its associated systems. Along with an initial optimal design of the cell/pack-level structure, the runtime performance of the battery needs to be continuously monitored and optimi...
שמור ב:
| פורמט: | Online |
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| שפה: | אנגלית |
| יצא לאור: |
MDPI - Multidisciplinary Digital Publishing Institute
2021
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| נושאים: | |
| גישה מקוונת: | ONIX_20210501_9783039433506_1018 |
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| _version_ | 1869529366917021696 |
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| collection | Directory of Open Access Books |
| description | The future of electric vehicles relies nearly entirely on the design, monitoring, and control of the vehicle battery and its associated systems. Along with an initial optimal design of the cell/pack-level structure, the runtime performance of the battery needs to be continuously monitored and optimized for a safe and reliable operation and prolonged life. Improved charging techniques need to be developed to protect and preserve the battery. The scope of this Special Issue is to address all the above issues by promoting innovative design concepts, modeling and state estimation techniques, charging/discharging management, and hybridization with other storage components. |
| format | Online |
| id | doab-20.500.12854ir-69272 |
| 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-692722024-04-11T15:10:35Z Battery Management System for Future Electric Vehicles Söffker, Dirk Moulik, Bedatri state of charge (SOC) joint estimation lithium-ion battery variational Bayesian approximation dual extended Kalman filter (DEKF) measurement statistic uncertainty electric vehicles renewable energy sources microgrid economic dispatching capacity allocation cooperative optimization SOC second-order RC model model parameter optimization AUKF small-signal modeling battery energy storage system battery management system control stability dynamic response wireless power state-of-charge electric vehicle LiFePO4 batteries state of charge (SoC) Butler–Volmer equation Arrhenius Peukert coulomb efficiency back propagation neural network (BPNN) torque and battery distribution particle swarm optimization air-cooled BTMS compact lithium ion battery module ANN battery electric vehicles battery management hybrid energy storage n/a thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology The future of electric vehicles relies nearly entirely on the design, monitoring, and control of the vehicle battery and its associated systems. Along with an initial optimal design of the cell/pack-level structure, the runtime performance of the battery needs to be continuously monitored and optimized for a safe and reliable operation and prolonged life. Improved charging techniques need to be developed to protect and preserve the battery. The scope of this Special Issue is to address all the above issues by promoting innovative design concepts, modeling and state estimation techniques, charging/discharging management, and hybridization with other storage components. 2021-05-01T15:45:30Z 2021-05-01T15:45:30Z 2020 book ONIX_20210501_9783039433506_1018 9783039433506 9783039433513 https://directory.doabooks.org/handle/20.500.12854/69272 eng application/octet-stream Attribution 4.0 International https://mdpi.com/books/pdfview/book/3061 https://mdpi.com/books/pdfview/book/3061 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-03943-351-3 10.3390/books978-3-03943-351-3 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783039433506 9783039433513 154 Basel, Switzerland open access |
| spellingShingle | state of charge (SOC) joint estimation lithium-ion battery variational Bayesian approximation dual extended Kalman filter (DEKF) measurement statistic uncertainty electric vehicles renewable energy sources microgrid economic dispatching capacity allocation cooperative optimization SOC second-order RC model model parameter optimization AUKF small-signal modeling battery energy storage system battery management system control stability dynamic response wireless power state-of-charge electric vehicle LiFePO4 batteries state of charge (SoC) Butler–Volmer equation Arrhenius Peukert coulomb efficiency back propagation neural network (BPNN) torque and battery distribution particle swarm optimization air-cooled BTMS compact lithium ion battery module ANN battery electric vehicles battery management hybrid energy storage n/a thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology Battery Management System for Future Electric Vehicles |
| title | Battery Management System for Future Electric Vehicles |
| title_full | Battery Management System for Future Electric Vehicles |
| title_fullStr | Battery Management System for Future Electric Vehicles |
| title_full_unstemmed | Battery Management System for Future Electric Vehicles |
| title_short | Battery Management System for Future Electric Vehicles |
| title_sort | battery management system for future electric vehicles |
| topic | state of charge (SOC) joint estimation lithium-ion battery variational Bayesian approximation dual extended Kalman filter (DEKF) measurement statistic uncertainty electric vehicles renewable energy sources microgrid economic dispatching capacity allocation cooperative optimization SOC second-order RC model model parameter optimization AUKF small-signal modeling battery energy storage system battery management system control stability dynamic response wireless power state-of-charge electric vehicle LiFePO4 batteries state of charge (SoC) Butler–Volmer equation Arrhenius Peukert coulomb efficiency back propagation neural network (BPNN) torque and battery distribution particle swarm optimization air-cooled BTMS compact lithium ion battery module ANN battery electric vehicles battery management hybrid energy storage n/a thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology |
| topic_facet | state of charge (SOC) joint estimation lithium-ion battery variational Bayesian approximation dual extended Kalman filter (DEKF) measurement statistic uncertainty electric vehicles renewable energy sources microgrid economic dispatching capacity allocation cooperative optimization SOC second-order RC model model parameter optimization AUKF small-signal modeling battery energy storage system battery management system control stability dynamic response wireless power state-of-charge electric vehicle LiFePO4 batteries state of charge (SoC) Butler–Volmer equation Arrhenius Peukert coulomb efficiency back propagation neural network (BPNN) torque and battery distribution particle swarm optimization air-cooled BTMS compact lithium ion battery module ANN battery electric vehicles battery management hybrid energy storage n/a thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology |
| url | ONIX_20210501_9783039433506_1018 |