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- W2350614314 abstract "In order to improve the braking energy recovery effect of pure electric vehicle, the paper used a mamdani's fuzzy logic controller which has four inputs including requirement of braking force, vehicle speed,batteries' SOC and one output which was the electric braking force coefficient, to determine the proportion distribution between electric braking force and mechanical braking force. Meanwhile, based on the safety of vehicle braking and stability, we used the ideal brake force distribution method to distribute the front and rear wheel braking force in the paper. The model based on fuzzy logic control strategy was established on the ADVISOR, and combined with the typical driving cycle CYC_UDDS to simulate. By comparing the simulation results of the ADVISOR own strategy and the seventh literature proposed fuzzy control strategy, the results showed that: with fuzzy logic control strategy, the battery SOC increased by 2%, the regenerative braking efficiency raised by 33.7%,and the overall vehicle system efficiency raised by 3.1%, which indicated that the fuzzy control strategy can improve the pure electric vehicle braking energy recovery effect and prolong the pure electric vehicle mileage." @default.
- W2350614314 created "2016-06-24" @default.
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- W2350614314 date "2014-01-01" @default.
- W2350614314 modified "2023-09-26" @default.
- W2350614314 title "Pure electric vehicle braking energy recovery based on fuzzy algorithm" @default.
- W2350614314 hasPublicationYear "2014" @default.
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