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27 October 2023 Design of intelligent energy feedback system for electric vehicle braking based on fuzzy control algorithm
Zhiqiang Xu
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Proceedings Volume 12922, Third International Conference on Electronics, Electrical and Information Engineering (ICEEIE 2023); 1292210 (2023) https://doi.org/10.1117/12.3008935
Event: The Third International Conference on Electronics, Electrical and Information Engineering (ICEEIE 2023), 2023, Xiamen, China
Abstract
Electric vehicles play an increasingly important role in the automobile industry, and electro-hydraulic compound feedback braking is one of the contents that need to be further studied. Its purpose is to fully recover braking energy on the basis of ensuring vehicle braking stability, so as to improve vehicle energy economy. At present, no breakthrough has been made in battery energy storage technology. Automobile braking can be used as supplementary energy of batteries, and the driving range of electric vehicles is a key problem to be solved urgently. In this paper, the intelligent energy feedback system for electric vehicle braking is designed based on fuzzy control algorithm, and the electro-hydraulic composite braking force distribution fuzzy controller with feedback braking ratio as output is analyzed, and the constraint conditions and control strategy in energy feedback braking are analyzed, and the constant torque energy feedback braking control is selected as the control strategy of this paper. Through the simulation comparison of fuzzy control strategy, the model of intelligent energy feedback braking system for electric vehicle braking is built with the fuzzy controller as the control core. Through simulation, it can be seen that the proposed constant torque fuzzy control strategy can realize energy feedback braking and achieve ideal results.
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Citation Download Citation
Zhiqiang Xu "Design of intelligent energy feedback system for electric vehicle braking based on fuzzy control algorithm", Proc. SPIE 12922, Third International Conference on Electronics, Electrical and Information Engineering (ICEEIE 2023), 1292210 (27 October 2023); https://doi.org/10.1117/12.3008935
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KEYWORDS
Control systems
Batteries
Fuzzy logic
Intelligence systems
Feedback control
Signal processing
Design and modelling
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