Study of energy management optimization for hybrid electric scooter using dynamic programming

Chyuan Yow Tseng, Yuan Ting Lin, Chih Hsien Yu, Chih Ming Chang

研究成果: 書貢獻/報告類型會議論文篇章同行評審

1 引文 斯高帕斯(Scopus)

摘要

This paper presents parameters optimization of energy management system for hybrid electric scooters (HES) by applying dynamic programming (DP). For hybrid electric scooters, an energy management system (EMS) is required to manage the power split among engine, motor and generator, with the constraint of the sum of the total output torque of the three power sources equal to the demand torque during drive. In order to determine an optimal energy management strategy for the EMS, a dynamic programming based algorithm application for hybrid electric scooters is proposed in this paper, because it has been proven to be capable of dealing with the global optimal energy management problem for hybrid vehicles. The dynamic simulation model of hybrid electric scooter is composed by a velocity predication module which is constructed by a feedforward neural network (FNN) and parameters optimization module by dynamic programming. The dynamic programming and velocity predication is successfully applied to the parameters optimization of EMS for HES.

原文???core.languages.en_GB???
主出版物標題2011 International Conference on Electric Information and Control Engineering, ICEICE 2011 - Proceedings
頁面2649-2654
頁數6
DOIs
出版狀態已出版 - 2011
事件2011 International Conference on Electric Information and Control Engineering, ICEICE 2011 - Wuhan, China
持續時間: 15 4月 201117 4月 2011

出版系列

名字2011 International Conference on Electric Information and Control Engineering, ICEICE 2011 - Proceedings

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???event.eventtypes.event.conference???2011 International Conference on Electric Information and Control Engineering, ICEICE 2011
國家/地區China
城市Wuhan
期間15/04/1117/04/11

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