【摘要】 为了对插电式串联电动汽车动力辅助系统进行有效控制,基于自适应混沌粒子群优化算法和其能量管理数学优化模型,设计一款插电式串联电动汽车动力辅助系统能量管理控制器,并利用ADVISOR仿真软件将该控制器嵌入到插电式串联电动汽车进行仿真验证。研究结果表明:与应用原车控制器相比,100 km综合油耗至少可降低11%,且发动机运行可被控制在较高转矩范围40~60 N.m内,有效提高了发动机燃油的使用效率,表明该控制器能够满足动力系统的能量管理需求,达到了预期控制目标。更多还原

【Abstract】 In order to effectively control force auxiliary system for plug-in series electric vehicles,energy management controller was designed based on adaptive chaos particle swarm algorithm and energy management mathematical optimization model on force auxiliary system,the controller was verified by embedding in plug-in series electric vehicles on ADVISOR software.The results show that there is at least 11% reduction in the fuel consumption per 100 km compared to the original vehicles controller,the engine torque can be favorably controlled in 40.60 N·m and effectively improve the use efficiency of fuel oil,which shows that the controller can meet the needs of power systems and achieve the desired control objectives.更多还原