| A necessary means to study electric vehicles can contribute to energy conservation,respond to the call of the country, promote scientific and technological progress, but alsosustainable development. At present, the main problem to restrict the development ofelectric vehicles is driving less mileage. In order to fully utilize the limited energy,enhance the efficient recovery of regenerative braking energy become an urgent problem.Regenerative braking is one of the effective ways to improve the energy efficiency ofelectric cars, that is, when the motor is braked, forming part of the kinetic energy toelectrical energy back to the battery. Therefore, we select the induction motor drive systemfor the object, research on improving the efficiency of the drive system, regenerativebraking energy recovery and other aspects.The main content of this paper is to research on the electric vehicle regenerativebraking energy recovery, and to develop electric vehicle induction motor during brakingenergy control strategies and dynamic braking system allocation strategy to improve therecovery of braking energy.The research of energy efficient control strategy of induction motor, mainly based onthe analysis of the principle of induction motor's speed control, conducting amathematical model of induction motor considering losses, further launching an optimizedmotor efficiency expression, aimed to induction motor loss sources in-depth study. But forsuch a step motor which is a multivariate time-varying system, the traditional controlmethods can not get a good result. We use linear ADRC technology, combined with theefficiency of induction motor loss model and optimization theory, to achieve good resultswhich can improve the efficiency of the motor section to achieve energy saving purposesMainly analyzes the principle of electric vehicle brake force distribution, appliesfuzzy logic control strategy, and improved fuzzy control strategy based on the distributionof braking force owned by Advisor. Improved fuzzy logic control can be more reasonableto advance the distribution. Finally, this paper makes a simulation comparison of fourprograms between a no brake force distribution, distribution brought by advisor, brakeforce distribution of improved fuzzy control and distribution of improved fuzzy controlsystem plus power efficiency optimization control strategy. The article verifies that theoptimization of the efficiency control and brake force distribution of improved fuzzy logiccontrol strategy can recover more braking energy.In summary, this paper studies the method of the improvement of the electricvehicles' energy efficiency, enhancement of the efficiency of the recovery of regenerative braking energy. The study proposes a new control method to optimize the efficiency of themotor, and improves the fuzzy brake force distribution scheme during the regenerativebraking process. The simulation results show that the proposed optimization of efficiencycontrol combined with brake force distribution using control fuzzy logic control strategycan improve the energy efficiency of electric vehicles. |
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