Open Access Paper
11 September 2023 Research on braking energy feedback of intelligent electric vehicle based on fuzzy algorithm
Zhiqiang Xu
Author Affiliations +
Proceedings Volume 12779, Seventh International Conference on Mechatronics and Intelligent Robotics (ICMIR 2023); 127792Y (2023) https://doi.org/10.1117/12.2689387
Event: Seventh International Conference on Mechatronics and Intelligent Robotics (ICMIR 2023), 2023, Kunming, China
Abstract
The popularization of automobiles has brought convenience to people's travel. The following problem is that non-renewable energy is facing depletion, and automobile exhaust has seriously polluted the environment, which is one of the main pollution sources causing "haze". As people increasingly face up to environmental protection and health, promote green travel, and strengthen the belief in the coordinated development of human and nature. In order to improve the regenerative Braking Energy (BE) recovery rate of pure Electric Vehicles (EV), Mamdani type fuzzy controller with total braking force demand, vehicle speed and battery SOC as input and motor braking force coefficient as output is adopted to determine the proportional distribution between motor braking force and mechanical braking force; Under the premise of ensuring the good braking performance of the vehicle, the power consumption of the battery under a CYC_UDDS cycle can be reduced, the energy utilization rate can be improved, and the driving range of the electric vehicle can be effectively extended on one charge. This study provides a reference for the formulation of regenerative braking control strategy for pure electric vehicles.
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Zhiqiang Xu "Research on braking energy feedback of intelligent electric vehicle based on fuzzy algorithm", Proc. SPIE 12779, Seventh International Conference on Mechatronics and Intelligent Robotics (ICMIR 2023), 127792Y (11 September 2023); https://doi.org/10.1117/12.2689387
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KEYWORDS
Batteries

Fuzzy logic

Power supplies

Energy efficiency

Control systems

Capacitors

Power consumption

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