Research On Regenerative Braking Control Strategy Based On Information Fusion Technology

Regenerative braking is one of the most important working modes of electric vehicles.It is a key energy-saving technology that can recover and utilize braking energy.It is of great practical significance to solve the problem of short driving range and small battery capacity of electric vehicles.Further energy saving and environmental protection.The current research on the braking energy feedback of electric vehicles mainly includes the effectiveness of regenerative braking energy recovery,the influence of driving motors and batteries on the regenerative braking,and the regenerative braking control strategies and algorithms,etc.The existing braking force The distribution scheme does not adequately consider the limiting factors for batteries and motors,and has low energy recovery efficiency and braking effectiveness.In view of the above problems,this paper studies a novel regenerative braking control strategy based on information fusion technology.The specific work is as follows:(1)The vehicle dynamics model is established in this paper,and the limiting factors of regenerative braking are analyzed in depth.(2)Based on the limitation factors of battery and motor,considering comprehensively increasing the driving range of electric vehicles and the comfort and safety during braking,a new type of regenerative braking control strategy based on information fusion architecture is proposed.The strategy data driver module firstly obtains vehicle speed,braking intensity,and battery SOC information through the vehicle CAN bus,and then applies a data fusion module to fuse the real-time information collected by each sensor,and finally screens the data through the feature extraction and matching module.In the model-driven,three alternative calculation models are established through prior knowledge and mechanism modeling.Through the data-driven filtered data and the model-driven selection of the computational model,the real-time calculation of the regenerative braking proportional coefficient during braking is performed.It is required that the regenerative braking control strategy under the new information fusion architecture designed be adaptive to different driving conditions of the electric vehicle,and energy efficient recovery can be achieved.(3)By setting up the MATLAB/Simulink vehicle dynamics simulation model,the CYC_UDDS cycle condition and NEDC working condition are selected for verification.The comparison with the Advisor regenerative braking scheme shows the effectiveness and advancement of the proposed control strategy.