The energy management of the hybrid electric vehicle is still the research hotspot. In order to improve the fuel economy of the parallel hybrid electric vehicle, a new energy management design method based on the kernel fuzzy C clustering (KFCM) for multi neural network (MNN) is proposed. The global optimal solution is obtained by the dynamic programming global optimization off-line simulation, and the KFCM algorithm is used to cluster the global optimal data set according to the vehicle running mode, and the neural network is established for each cluster. The MNN model structure after training is used as the output of the energy management strategy to realize the real-time optimal allocation of engine and motor torque according to the real-time condition. The simulation results show that the energy management strategy based on KFCM-MNN has good learning simulation ability for dynamic planning energy management strategy, and it is a quasi-optimal control strategy.