Paper
28 August 2024 Performance test method for regenerative braking system of electric motorcycles and influencing factors
Xiong Zhang, Lichang Fan, Ruixue Ma, Song Guo
Author Affiliations +
Proceedings Volume 13251, Ninth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2024); 132511Y (2024) https://doi.org/10.1117/12.3039988
Event: 9th International Conference on Electromechanical Control Technology and Transportation (ICECTT 2024), 2024, Guilin, China
Abstract
The regenerative braking system is one of the core technologies to reduce the energy consumption of electric motorcycles and improve their driving range. In this study, the performance test principle and method for the regenerative braking system of electric motorcycles were introduced, including such test items as steady-state regenerative braking efficiency and transient-state regenerative braking efficiency. The steady-state and transient-state regenerative braking tests were carried out at different speeds. The findings revealed that the steady-state regenerative braking efficiency could reach a maximum of 80.45% and a minimum of 40.11%. Additionally, it was observed that the transient-state regenerative braking efficiency at high speeds is higher than that at low speeds. Subsequently, the factors affecting the regenerative braking performance were analyzed, and the influence laws of speed and braking torque on regenerative braking efficiency were revealed. It was observed that beyond 50% of the rated speed, higher torque correlated with increased efficiency. Conversely, at 100% of the rated speed, lower speeds were associated with decreased regenerative braking efficiency. These findings were elucidated by considering the operational principles of electrical appliances and the flow of energy.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Xiong Zhang, Lichang Fan, Ruixue Ma, and Song Guo "Performance test method for regenerative braking system of electric motorcycles and influencing factors", Proc. SPIE 13251, Ninth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2024), 132511Y (28 August 2024); https://doi.org/10.1117/12.3039988
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KEYWORDS
Batteries

Circuit switching

Control systems

Copper

Correlation coefficients

Adaptive control

Energy efficiency

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