Agent Networking and Reasoning Technology for Extended-range Electric Vehicle

Aiming at the problems existing in the integrated control and energy distribution of traditional extendedrange electric vehicle(EREV), a powertrain control method for EREV based on multi-agent networking technology was proposed. The power component agent model was built on JADE (Java agent development framework) software platform, and the corresponding database was built by SQL server. After receiving the required power of whole vehicle, the agents interacted with each other and adjusted according to their own state to complete the reasonable distribution of energy. Finally, the vehicle dynamics model was established in MATLAB/Simulink to verify the proposed method. The results show that the control method based on multi-agent networking technology can realize the basic energy management of EREV,compared with the traditional constant temperature control method, the fuel consumption of whole vehicle is reduced by 3.15% under the same mileage.