LAPSE:2023.21289
Published Article
LAPSE:2023.21289
The Optimal Control of Fuel Consumption for a Heavy-Duty Motorcycle with Three Power Sources Using Hardware-in-the-Loop Simulation
Chien-Hsun Wu, Yong-Xiang Xu
March 22, 2023
This study presents a simulation platform for a hybrid electric motorcycle with an engine, a driving motor, and an integrated starter generator (ISG) as three power sources. This platform also consists of the driving cycle, driver, lithium-ion battery, continuously variable transmission (CVT), motorcycle dynamics, and energy management system models. Two Arduino DUE microcontrollers integrated with the required circuit to process analog-to-digital signal conversion for input and output are utilized to carry out a hardware-in-the-loop (HIL) simulation. A driving cycle called worldwide motorcycle test cycle (WMTC) is used for evaluating the performance characteristics and response relationship among subsystems. Control strategies called rule-based control (RBC) and equivalent consumption minimization strategy (ECMS) are simulated and compared with the purely engine-driven operation. The results show that the improvement percentages for equivalent fuel consumption and energy consumption for RBC and ECMS using the pure software simulation were 17.74%/18.50% and 42.77%/44.22% respectively, while those with HIL were 18.16%/18.82% and 42.73%/44.10%, respectively.
Keywords
energy management system, equivalent consumption minimization strategy (ECMS), hardware in-the-loop, heavy-duty motorcycle, signal processing, simulation platform
Suggested Citation
Wu CH, Xu YX. The Optimal Control of Fuel Consumption for a Heavy-Duty Motorcycle with Three Power Sources Using Hardware-in-the-Loop Simulation. (2023). LAPSE:2023.21289
Author Affiliations
Wu CH: Department of Vehicle Engineering, National Formosa University, Yunlin 63201, Taiwan [ORCID]
Xu YX: Department of Vehicle Engineering, National Formosa University, Yunlin 63201, Taiwan
Journal Name
Energies
Volume
13
Issue
1
Article Number
E22
Year
2019
Publication Date
2019-12-19
Published Version
ISSN
1996-1073
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PII: en13010022, Publication Type: Journal Article
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LAPSE:2023.21289
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doi:10.3390/en13010022
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Mar 22, 2023
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Mar 22, 2023
 
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