电动汽车动力辅助系统能量管理控制器设计

胡素云^{1, 2}，鄂加强¹，左青松¹，王曙辉¹，龚金科¹

(1. 湖南大学 机械与运载工程学院，湖南 长沙，410082；
2. 湖南广播电视大学 机电工程系，湖南 长沙，410004)

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。

关键词：插电式串联电动汽车；动力辅助系统；能量管理控制器；自适应混沌粒子群优化算法

Design of energy management controller on force auxiliary system for electric vehicles

HU Su-yun^{1, 2}, E Jia-qiang¹, ZUO Qing-song¹, WANG Shu-hui¹, GONG Jin-ke¹

(1. College of Mechanical and Vehicle Engineering, Hunan University, Changsha 410082, China;
2. Department of Mechanical and Electrical Engineering, Hunan Radio and TV University, Changsha 410004, China)

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.

Key words:plug-in series electric vehicles; force auxiliary system; energy management controller; adaptive chaos particle swarm optimization