{"title":"自由浮动共享服务中的充电式混合动力自行车","authors":"Alessandra Duz, M. Corno, S. Savaresi","doi":"10.1109/MED48518.2020.9182852","DOIUrl":null,"url":null,"abstract":"This paper proposes a hierarchical multilevel control strategy, adaptive on the cyclist characterization, for the energy management of a fleet of hybrid electric bikes (HEBs) in a free-floating sharing service. We pursuit the goals of independence from recharging stations and of cycling effort reduction by means of motor assistance. To achieve these goals we exploit the variability of cycling efficiency. The results are assessed in a simulation environment.","PeriodicalId":418518,"journal":{"name":"2020 28th Mediterranean Conference on Control and Automation (MED)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Charge sustaining hybrid electric bikes in free-floating sharing service\",\"authors\":\"Alessandra Duz, M. Corno, S. Savaresi\",\"doi\":\"10.1109/MED48518.2020.9182852\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper proposes a hierarchical multilevel control strategy, adaptive on the cyclist characterization, for the energy management of a fleet of hybrid electric bikes (HEBs) in a free-floating sharing service. We pursuit the goals of independence from recharging stations and of cycling effort reduction by means of motor assistance. To achieve these goals we exploit the variability of cycling efficiency. The results are assessed in a simulation environment.\",\"PeriodicalId\":418518,\"journal\":{\"name\":\"2020 28th Mediterranean Conference on Control and Automation (MED)\",\"volume\":\"13 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 28th Mediterranean Conference on Control and Automation (MED)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MED48518.2020.9182852\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 28th Mediterranean Conference on Control and Automation (MED)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MED48518.2020.9182852","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Charge sustaining hybrid electric bikes in free-floating sharing service
This paper proposes a hierarchical multilevel control strategy, adaptive on the cyclist characterization, for the energy management of a fleet of hybrid electric bikes (HEBs) in a free-floating sharing service. We pursuit the goals of independence from recharging stations and of cycling effort reduction by means of motor assistance. To achieve these goals we exploit the variability of cycling efficiency. The results are assessed in a simulation environment.