Paper
28 February 2024 Research on braking energy recovery technology of electric vehicle in underground coal mine
Lianhang Xu, Jianlong Wei, Juanning Liu, Yuan Zhao, Zhilong Yang
Author Affiliations +
Proceedings Volume 13071, International Conference on Mechatronic Engineering and Artificial Intelligence (MEAI 2023); 130711I (2024) https://doi.org/10.1117/12.3025449
Event: International Conference on Mechatronic Engineering and Artificial Intelligence (MEAI 2023), 2023, Shenyang, China
Abstract
In order to improve the braking energy recovery capacity of explosion-proof electric rubber-tyred vehicle, and reduce the impact of feedback braking on vehicle braking safety. A self-adaptive braking energy recovery control strategy for electric vehicles in coal mines based on road condition identification is proposed, and four braking feedback strategies are formulated to adapt to different road conditions. Through the real-time positioning technology for whole vehicles underground, the self-adaptive switching of braking energy recovery strategies in different coal field environment is realized, so as to better meet the driver's braking needs and intentions under different road conditions. In the simulation platform, the simulation model of the strategy is built according to the actual road conditions in the coal mine, and the results prove the feasibility of the strategy.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Lianhang Xu, Jianlong Wei, Juanning Liu, Yuan Zhao, and Zhilong Yang "Research on braking energy recovery technology of electric vehicle in underground coal mine", Proc. SPIE 13071, International Conference on Mechatronic Engineering and Artificial Intelligence (MEAI 2023), 130711I (28 February 2024); https://doi.org/10.1117/12.3025449
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KEYWORDS
Roads

Land mines

Mining

Control systems

Safety

Batteries

Computer simulations

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