Research On Regenerative Braking Control Strategy For Pure Electric Vehicles With Multiple Braking Intent Recognition

With the increasing problems of energy shortage and environmental degradation,the development and utilization of new energy vehicles has become an important direction for the development of the automotive industry in various countries.In this context,pure electric vehicles,as a kind of new energy vehicles,have the advantages of no pollution and zero emission.However,due to a series of bottlenecks in the research and development of pure electric vehicle power battery technology,the short range of battery storage energy has become a key factor limiting the development of pure electric vehicles.Therefore,efficient braking energy recovery technology is an important method to improve the vehicle range.Pure electric vehicle braking system is different from the traditional vehicle braking system,which mainly consists of regenerative braking system and mechanical braking system.On the premise of ensuring the safety and stability of the vehicle in the braking process,the reasonable distribution of regenerative braking force and mechanical braking force to maximize the braking energy recovery is of great significance to the research of the key technology of pure electric vehicle braking energy recovery.To address this problem,this paper develops a braking force distribution control strategy based on braking intention identification,so that regenerative braking and mechanical braking can work better in coordination and recover as much braking energy as possible,the main work is as follows.Firstly,by analyzing the current situation of domestic and foreign research on pure electric vehicle braking energy recovery,the key technologies of pure electric vehicle regenerative braking force control distribution are summarized,and the shortcomings of the existing regenerative braking control strategy based on braking intention recognition are summarized.The working principle of pure electric vehicle regenerative braking system and the key factors affecting the braking energy recovery are analyzed for the main structure of pure electric vehicle.In view of the complexity and uncertainty of driver intention recognition,the adaptive neuro-fuzzy control algorithm(ANFIS)is used to combine neural network and fuzzy logic to build ANFIS controller.The mathematical model for optimal control of regenerative braking is established to address the shortcomings of the conventional regenerative braking strategy.In order to maximize the front axle braking force distribution,the braking force distribution variable proportional valve hydraulic distribution line of commonly used vehicles is introduced to replace the ideal braking force distribution curve,and an optimized regenerative braking force distribution control strategy for pure electric vehicles is proposed.The proposed regenerative braking force distribution curve control strategy is modeled using Matlab/Simulink module and jointly simulated with the whole vehicle model.The experimental results show that the improved control strategy effectively reduces the energy consumption rate and improves the energy recovery efficiency of the pure electric vehicle.This thesis further optimizes and improves the key technical works of the braking force distribution control strategy of regenerative braking system and verifies the effectiveness of the strategy through simulation experiments,which is of great significance to improve the R&D level of pure electric vehicles and promote the industrialization process of pure electric vehicles in China.