Study On Regenerative Breaking Energy Recovery Strategy Of Electric Vehicle Based On Fuzzy Control

With the serious consumption of petroleum resources and the gradual deterioration of the environment,people are in urgent need of a safe and low-carbon environment and energy system.At present,pure electric vehicles have become one of the most promising alternatives for the development of low emission and energy efficient vehicles.Although pure electric vehicles have great advantages of energy saving and environmental protection,their rapid development and application have been seriously restricted by the problem of insufficient driving range.In order to overcome the problem of insufficient energy utilization of electric vehicles,the research on regenerative braking control method is beneficial to improve the energy utilization rate of electric vehicles,and then effectively increase the car continued driving mileage.Focusing on the braking energy feedback technology of pure electric vehicles,this paper carries out research on the front-drive pure electric vehicles.The recover rate of regenerative braking system is improved by the reasonable distribution of regenerative braking force and mechanical braking force.The specific research content and analysis results are as follows:Firstly,with summarizing the basis of this topic selection,this paper puts forward the significance of regenerative braking control strategy for EV energy recovery,and sets forth the importance of studying regenerative braking strategy on the basis of accurately estimating the battery state of charge(SOC).Introducing the system structure and working principle of electric vehicle regenerative braking,then establishes the force balance equation of vehicle driving and braking process,and deduces derivation of braking energy conversion process,the energy recovery rate is determined as the evaluation index of the energy recovery ability in this paper,which provides a foundation for the formulation of braking force distribution strategy and the establishment of simulation model in the following.Secondly,A Fer fusion algorithm was proposed to estimate SOC of battery in order to ensure that SOC of power battery can be accurately predicted in real time in the energy feedback process of electric vehicles and solve the problem that the accuracy of SOC estimation of electric vehicle battery is not high,and the joint estimation algorithm Simulink model is built to easy-run online in real time,and to verify the simulation experiment by using the data of different working conditions,which proves that the algorithm has higher prediction accuracy,better stability,and can provide accurate input parameters for the fuzzy controller.Then,with maximum energy recovery as the goal and ECE regulations and I curve as the premise,the safe range of vehicle braking force distribution is determined,so that the regenerative braking feedback strategy of electric vehicle is developed in this area.Then this paper focus on analysis of the current three typical regenerative braking control strategy,and then select the ideal braking force distribution control strategy combining with the study of the fuzzy controller,finally the nonlinear influence factors of three key SOC,braking,speed V Z into consideration of the influence of the regenerative braking intensity,further improve the driving wheel mechanism of electric power in proportion.At last,to solve the problems of low energy recovery and poor braking performance of the original control strategy in ADVISOR,a braking force distribution strategy model based on fuzzy logic control and a power battery SOC estimation model were established in MATLAB.The design of this paper is simulated and compared with the original strategy of ADVISOR under two typical working conditions(UDDS working condition and NYCC working condition).Through the comparative analysis of the obtained results,it is proved that the designed control strategy is feasible and can effectively improve the braking energy recovery efficiency of electric vehicles.