Changsha University of science and technology
driving intention is an important factor affecting the energy distribution of hybrid energy vehicles. Considering that the low-frequency part of the power demand has small impact, which can be borne by the battery first, and the high-frequency part of the impact can be borne by the super capacitor, a power distribution control method based on driving intention recognition for hybrid electric vehicles is proposed. By identifying the driver"s intention, the time constant of the dynamic adjustment filter is adjusted to adjust the energy distribution, so that the "human" factor is added to the traditional control strategy based on only considering the "car" factor. The simulation results show that the average vehicle mileage loss under us06-hwy, hwfet, UDDS, Nycc is 32.61wh/km under four types of driving conditions, such as high-speed, urban expressway, suburban road and congested road. Compared with the traditional fuzzy control, the output current of the battery is more smooth, the power fluctuation is reduced by 23.70%, and the temperature rise is reduced by 19.96%. The simulation results show that the proposed strategy can make full use of the dynamic characteristics of the energy storage system and effectively extend the battery life.