Hybrid Electric Vehicle Integrated Control Strategy Based on Multi-agent

doi:10.3901/JME.2019.12.168

Abstract

Abstract: Combined with the minimum equivalent fuel consumption model, an integrated control strategy of hybrid electric vehicle (HEV) powertrain based on multi-agent theory is proposed. The system agent decomposes the vehicle powertrain task in real time and distributes the sub-tasks to the engine agent, the motor agent and the battery agent. Each component agent calculates the cost for completion of tasks of fuel consumption (or equivalent fuel consumption), emissions and battery energy loss. The multi-objective fitting optimization algorithm is used to obtain the dynamic allocation relation of engine and motor with minimum integrated cost, and the initial request response torque command is obtained. Aiming at its own efficiency optimization, each component agent interacts with others for the limitation of torque command and exchanging compensation torque information for the completion coordination control task of the HEV powertrain. The Simulink model of each agent is established and Multi-agents (MA) integrated control strategy model is then built. These models are integrated into the vehicle model of ADVISOR and simulations are carried out under different driving cycles. The Simulation results show that by the means of the coordination of each agent and the integrated control of the powertrain components, the MA integrated control strategy can reasonably weigh the dynamic, emissions and fuel consumption economy to improve the capacity of energy-saving and emission reduction without losing too much power.

Key words: hybrid electric vehicle (HEV), integrated control, multi-agent, powertrain

CLC Number:

U469

NIU Limin, YANG Hongyuan, ZHOU Yazhou, Lü Jianmei. Hybrid Electric Vehicle Integrated Control Strategy Based on Multi-agent[J]. Journal of Mechanical Engineering, 2019, 55(12): 168-177,188.

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