Electric Bicycle Energy Management Given an Elevation Traveling Profile
This research proposes a method for energy management in electric bicycles with Lithium-Ion batteries. This method optimizes the way energy is consumed to maximize the rider’s comfort, subject to constraints on the battery State-of-Charge once destination is reached. The algorithm considers the elev...
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| Formato: | article |
| Idioma: | inglês |
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2017
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| Acesso em linha: | http://ridda2.utp.ac.pa/handle/123456789/6154 |
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| _version_ | 1869652468569210880 |
|---|---|
| author | Seria, Sebastián |
| author2 | Espinoza, Pablo L. Quintero, Vanessa Perez, Aramis Jaramillo, Francisco Orchard, Marcos Benavides, Matías |
| author2_role | author author author author author author |
| author_browse | Benavides, Matías Espinoza, Pablo Jaramillo, Francisco L. Quintero, Vanessa Orchard, Marcos Perez, Aramis Seria, Sebastián |
| author_facet | Seria, Sebastián Espinoza, Pablo L. Quintero, Vanessa Perez, Aramis Jaramillo, Francisco Orchard, Marcos Benavides, Matías |
| author_role | author |
| collection | Repositorio Institucional de documento digitales de acceso abierto de la UTP |
| dc.creator.none.fl_str_mv | Seria, Sebastián Espinoza, Pablo L. Quintero, Vanessa Perez, Aramis Jaramillo, Francisco Orchard, Marcos Benavides, Matías |
| dc.date.none.fl_str_mv | 2017-09-06 2017-09-06 2019-07-02T17:49:55Z 2019-07-02T17:49:55Z 2019-07-02T17:49:55Z 2019-07-02T17:49:55Z |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | http://ridda2.utp.ac.pa/handle/123456789/6154 http://ridda2.utp.ac.pa/handle/123456789/6154 |
| dc.language.none.fl_str_mv | eng eng |
| dc.publisher.none.fl_str_mv | Annual Conference of the Prognostics and Health Management Society 2017 Annual Conference of the Prognostics and Health Management Society 2017 |
| dc.rights.none.fl_str_mv | https://creativecommons.org/licenses/by-nc-sa/4.0/ info:eu-repo/semantics/openAccess |
| dc.source.none.fl_str_mv | reponame:Repositorio Institucional de documento digitales de acceso abierto de la UTP instname:Universidad Tecnológica de Panamá instacron:U Tecnológica de Panamá |
| dc.subject.none.fl_str_mv | Li-ion Battery Binary Particle Swarm Optimization Electric Bicycle Energy Management Li-ion Battery Binary Particle Swarm Optimization Electric Bicycle Energy Management |
| dc.title.none.fl_str_mv | Electric Bicycle Energy Management Given an Elevation Traveling Profile |
| dc.type.none.fl_str_mv | info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
| description | This research proposes a method for energy management in electric bicycles with Lithium-Ion batteries. This method optimizes the way energy is consumed to maximize the rider’s comfort, subject to constraints on the battery State-of-Charge once destination is reached. The algorithm considers the elevation profile of the route chosen by the rider, predicting the battery energy consumption based on physical parameters of the user and the bicycle. The route is partitioned into equispaced segments, and the optimization problem is then formulated to decide when to pedal or when to use the bicycle electric motor. Binary Particle Swarm Optimization (BPSO) is used to solve the optimization problem, while particle-filter-based estimators are used to determine the initial battery State-of-Charge. We surmise that management of the variability associated with the State-of-Charge swing range, in a systematic manner, will help to increase the battery life. |
| eu_rights_str_mv | openAccess |
| format | article |
| id | lrtest_8011f4c39fea2e37760da26d07192e87 |
| instacron_str | U Tecnológica de Panamá |
| institution | U Tecnológica de Panamá |
| instname_str | Universidad Tecnológica de Panamá |
| language | eng |
| network_acronym_str | lrtest |
| network_name_str | lr |
| oai_identifier_str | oai:ridda2.utp.ac.pa:123456789/6154 |
| publishDate | 2017 |
| publishDateSort | 2017 |
| publisher.none.fl_str_mv | Annual Conference of the Prognostics and Health Management Society 2017 Annual Conference of the Prognostics and Health Management Society 2017 |
| reponame_str | Repositorio Institucional de documento digitales de acceso abierto de la UTP |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | https://creativecommons.org/licenses/by-nc-sa/4.0/ |
| spelling | Electric Bicycle Energy Management Given an Elevation Traveling ProfileSeria, SebastiánEspinoza, PabloL. Quintero, VanessaPerez, AramisJaramillo, FranciscoOrchard, MarcosBenavides, MatíasLi-ion BatteryBinary Particle Swarm OptimizationElectric BicycleEnergy ManagementLi-ion BatteryBinary Particle Swarm OptimizationElectric BicycleEnergy ManagementThis research proposes a method for energy management in electric bicycles with Lithium-Ion batteries. This method optimizes the way energy is consumed to maximize the rider’s comfort, subject to constraints on the battery State-of-Charge once destination is reached. The algorithm considers the elevation profile of the route chosen by the rider, predicting the battery energy consumption based on physical parameters of the user and the bicycle. The route is partitioned into equispaced segments, and the optimization problem is then formulated to decide when to pedal or when to use the bicycle electric motor. Binary Particle Swarm Optimization (BPSO) is used to solve the optimization problem, while particle-filter-based estimators are used to determine the initial battery State-of-Charge. We surmise that management of the variability associated with the State-of-Charge swing range, in a systematic manner, will help to increase the battery life.This research proposes a method for energy management in electric bicycles with Lithium-Ion batteries. This method optimizes the way energy is consumed to maximize the rider’s comfort, subject to constraints on the battery State-of-Charge once destination is reached. The algorithm considers the elevation profile of the route chosen by the rider, predicting the battery energy consumption based on physical parameters of the user and the bicycle. The route is partitioned into equispaced segments, and the optimization problem is then formulated to decide when to pedal or when to use the bicycle electric motor. Binary Particle Swarm Optimization (BPSO) is used to solve the optimization problem, while particle-filter-based estimators are used to determine the initial battery State-of-Charge. We surmise that management of the variability associated with the State-of-Charge swing range, in a systematic manner, will help to increase the battery life.Annual Conference of the Prognostics and Health Management Society 2017Annual Conference of the Prognostics and Health Management Society 20172019-07-02T17:49:55Z2019-07-02T17:49:55Z2019-07-02T17:49:55Z2019-07-02T17:49:55Z2017-09-062017-09-06info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://ridda2.utp.ac.pa/handle/123456789/6154http://ridda2.utp.ac.pa/handle/123456789/6154engenghttps://creativecommons.org/licenses/by-nc-sa/4.0/info:eu-repo/semantics/openAccessreponame:Repositorio Institucional de documento digitales de acceso abierto de la UTPinstname:Universidad Tecnológica de Panamáinstacron:U Tecnológica de Panamáoai:ridda2.utp.ac.pa:123456789/61542021-07-06T15:34:53Z |
| spellingShingle | Electric Bicycle Energy Management Given an Elevation Traveling Profile Seria, Sebastián Li-ion Battery Binary Particle Swarm Optimization Electric Bicycle Energy Management Li-ion Battery Binary Particle Swarm Optimization Electric Bicycle Energy Management |
| status_str | publishedVersion |
| title | Electric Bicycle Energy Management Given an Elevation Traveling Profile |
| title_full | Electric Bicycle Energy Management Given an Elevation Traveling Profile |
| title_fullStr | Electric Bicycle Energy Management Given an Elevation Traveling Profile |
| title_full_unstemmed | Electric Bicycle Energy Management Given an Elevation Traveling Profile |
| title_short | Electric Bicycle Energy Management Given an Elevation Traveling Profile |
| title_sort | Electric Bicycle Energy Management Given an Elevation Traveling Profile |
| topic | Li-ion Battery Binary Particle Swarm Optimization Electric Bicycle Energy Management Li-ion Battery Binary Particle Swarm Optimization Electric Bicycle Energy Management |
| url | http://ridda2.utp.ac.pa/handle/123456789/6154 |