科技创新与应用2026，Vol.16Issue(26)：42-45,4.DOI:10.19981/j.CN23-1581/G3.2026.26.010
基于多智能体系统的增程式电动汽车能量管理策略研究
摘要
Abstract
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.关键词
增程式电动汽车/能量管理策略/多智能体系统/协同控制/燃油经济性Key words
extended range electric vehicle/energy management strategy/multi-agent system(MAS)/Cooperative control/fuel economy分类
交通工程引用本文复制引用
宗发新..基于多智能体系统的增程式电动汽车能量管理策略研究[J].科技创新与应用,2026,16(26):42-45,4.基金项目
校级科学研究一般项目(wzyzr202518) （wzyzr202518）
芜湖市科技计划项目(2024KJ038) （2024KJ038）
省级科学研究重点项目(2025AHGXZK30282) （2025AHGXZK30282）
