Regenerative braking can achieve energy recycling, which is one of the important working modes of electric vehicles. The existing braking force distribution scheme has inadequate consideration of battery and motor constraints, and the energy recovery efficiency and braking effectiveness are low. Therefore, this paper proposes a new controlling strategy of regenerative braking based on information fusion. On the basis of the battery and motor limiting factors, considering the increasing of electric vehicle mileage, as well as comfort and safety when braking and other factors, the proposed control strategy has self-adaptability to different driving conditions of electric vehicles, and can achieve energy efficient recovery. The characteristics of vehicle speed and braking intensity are extracted and the braking mode is classified, thus the braking mode is switched according to the matching result, and the effectiveness and progressiveness of the proposed control strategy is verified by building the Matlab/Simulink vehicle dynamics simulation model.