基于多智能体系统的增程式电动汽车能量管理策略研究OA

The energy management strategy of range-extended electric vehicles is one of the core technologies determining overall vehicle performance.To optimize this strategy,this paper proposes a distributed energy management strategy based on a multi-agent system(MAS),which decomposes the vehicle energy management task into four independent decision-making agents(Battery Agent,Motor Agent,Range Extender Agent,and Vehicle Coordination Agent)to achieve energy optimization control through hierarchical collaboration.Simulation results based on the China Light-duty Vehicle Test Cycle-Passenger(CLTC-P)demonstrate that compared to a thermostatic control strategy,the proposed strategy reduces the vehicle's fuel consumption from 2.82 L/100km to 2.68 L/100 km,achieving a fuel savings rate of 5.20%.The standard deviation of battery SOC fluctuations decreases by 17.48%,while the engine consistently operates within the optimal high-efficiency range,effectively balancing fuel economy,battery lifespan,and control real-time performance,showcasing strong practical engineering value.