基于多岛遗传算法的增程式汽车增程器工作点研究  

Research on the Working Point of the Extended-Range Vehicle Extender Based on the Multi-Island Genetic Algorithm

作　　者：曹龙龙 钟勇 邱煌乐 范周慧 郜建行 CAO Longlong;ZHONG Yong;QIU Huangle;FAN Zhouhui;GAO Jianhang(Fujian Key Laboratory of Automotive Electronics and Electric Drive,Fujian University of Technology,Fuzhou 350118,China)

机构地区：[1]福建理工大学福建省汽车与电子电驱动重点实验室,福建福州350118

出　　处：《湖南工业大学学报》2025年第5期39-45,共7页Journal of Hunan University of Technology

摘　　要：为了提高增程式汽车燃油经济性,提出一种基于多岛遗传算法优化增程器工作点的方法。首先,对整车进行动力参数匹配,为仿真提供基础;其次,搭建了发动机五点控制策略和制动能量回收策略,并验证所搭建模型和参数匹配的合理性;最后,采用多岛遗传算法对增程器的启停阈值进行优化,以提升整车燃油经济性。仿真结果表明:优化后,在保证动力性能的前提下,整车燃油经济性在WLTC、CLTC工况下分别提高了51.6%,60.1%,进一步提升了整车对能量的有效利用率。In view of an improvement of the fuel economy of extended range vehicle,a method based on the multi-island genetic algorithm has thus been proposed for an optimization of the operating point of the range extender.Firstly,the power parameters of the entire vehicle is matched to provide a foundation for simulation.Secondly,a five-point engine control strategy and braking energy recovery strategy are established,thus verifying the rationality of the model and parameter matching.Finally,the multi-island genetic algorithm is used to optimize the start-stop threshold of the range extender so as to improve the vehicle fuel economy.The simulation results show that after optimization,the fuel economy of the entire vehicle has been improved by 51.6%and 60.1%under WLTC and CLTC conditions respectively while ensuring the power performance,further enhancing the effective utilization of energy by the vehicle.

关 键 词：增程式汽车 多岛遗传算法 燃油经济性 能量管理 发动机工作点 

分 类 号：U469.72[机械工程—车辆工程] U461.8[交通运输工程—载运工具运用工程]