Research on Control Strategy of Hybrid Vehicle Based on ANFIS

Abstract

This paper takes hybrid vehicles as the research object, research on the fuel economy of hybrid vehicles and their control strategies, train the data collected by the hybrid vehicle through the ANFIS toolbox, Takagi-Sugeno fuzzy inference algorithm was established, Fuzzy inference rules for torque allocation are generated. The optimized model of the ANFIS algorithm is imported into the vehicle model for simulation. Compared with the control strategy based on logic threshold, the simulation results show that the torque distribution of hybrid vehicles can be reasonably performed by ANFIS, and the hybrid vehicles optimized based on ANFIS algorithm can significantly improve the fuel economy of the whole vehicle, which verifies the effectiveness and practicability of the proposed control strategy.