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Baseline strategy for remaining range estimation of electric motorcycle applications
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Bui, Truong Minh Ngoc, Holmes, Nicolas and Dinh, Truong Quang (2022) Baseline strategy for remaining range estimation of electric motorcycle applications. In: 25th International Conference on Mechatronics Technology (ICMT 2022), Kaohsiung, Taiwan, 18-21 Nov 2022. Published in: Proceedings of the 25th International Conference on Mechatronics Technology (ICMT 2022) (In Press)
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Abstract
Accurate predicting the remaining range of electric motorcycles (EMs) is important to help optimizing the energy consumption and improving the utilization of remaining energy in the batteries and therefore extending their life. In this paper, a range estimation strategy is developed to estimate the elapsed travel distance of the motorbike application and hence, the remaining range can be predicted. Then, daily riding cycles of the EM are identified and classified through machine learning technique based on the training and testing dataset of various standard ride cycles, which are combined with the proposed range estimation strategy to estimate the remaining travel distance of the motorcycle as the baseline to underpin and support the energy management system of the electric vehicle applications. The developed complete model is finally evaluated on a mixed daily riding cycles showing the effectiveness of the approach.
| Item Type: | Conference Item (Paper) | ||||||||
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| Subjects: | T Technology > TJ Mechanical engineering and machinery T Technology > TL Motor vehicles. Aeronautics. Astronautics |
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| Divisions: | Faculty of Science, Engineering and Medicine > Engineering > WMG (Formerly the Warwick Manufacturing Group) | ||||||||
| Library of Congress Subject Headings (LCSH): | Electric motorcycles , Energy storage , Battery management systems , Storage batteries, Electric motorcycles -- Batteries | ||||||||
| Journal or Publication Title: | Proceedings of the 25th International Conference on Mechatronics Technology (ICMT 2022) | ||||||||
| Publisher: | IEEE | ||||||||
| Official Date: | 2022 | ||||||||
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| Status: | Peer Reviewed | ||||||||
| Publication Status: | In Press | ||||||||
| Reuse Statement (publisher, data, author rights): | © 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | ||||||||
| Access rights to Published version: | Restricted or Subscription Access | ||||||||
| Copyright Holders: | IEEE | ||||||||
| Date of first compliant deposit: | 12 December 2022 | ||||||||
| Date of first compliant Open Access: | 12 December 2022 | ||||||||
| RIOXX Funder/Project Grant: |
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| Conference Paper Type: | Paper | ||||||||
| Title of Event: | 25th International Conference on Mechatronics Technology (ICMT 2022) | ||||||||
| Type of Event: | Conference | ||||||||
| Location of Event: | Kaohsiung, Taiwan | ||||||||
| Date(s) of Event: | 18-21 Nov 2022 | ||||||||
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