Research on HEV multi-agent control based on working condition recognition

Aiming at the adaptive problem of driving conditions in the energy management process of Hybrid Electric Vehicle (HEV), the research of HEV powertrain multi-intelligent body control system based on condition recognition is carried out with two-axle parallel HEV as the research object. Firstly, the theory of Multi-Agent System (MAS) is introduced into the vehicle power system, and a vehicle powertrain control model is constructed; the working condition recognition module is established, and it is embedded into the ADVISOR vehicle simulation software together with the energy management strategies of four different working condition control types, and compared and analyzed with the electrically-assisted strategies, and the experiments are carried out on the basis of the D2P technology. Based on D2P technology, an experimental rig is built to verify the effectiveness and feasibility of the proposed strategies.