增程式电动汽车增程器多点控制策略优化  被引量:10

Multi-point control strategy optimization for auxiliary power unit of range-extended electric vehicle

在线阅读下载全文

作  者:刘汉武[1] 雷雨龙[1] 阴晓峰[2] 付尧[1] 李兴忠[1] LIU Han-wu;LEI Yu-long;YIN Xiao-feng;FU Yao;LI Xing-zhong(State Key Laboratory of Automotive Simulation and Control,Jilin University,Changchun 130022,China;School of Transportation and Automotive Engineering,Xihua University,Chengdu 610039,China)

机构地区:[1]吉林大学汽车仿真与控制国家重点实验室,长春130022 [2]西华大学交通与汽车工程学院,成都610039

出  处:《吉林大学学报(工学版)》2022年第8期1741-1750,共10页Journal of Jilin University:Engineering and Technology Edition

基  金:四川省科技厅区域创新合作项目(2021YFQ0052);国家重点研发计划项目(2018YFB0104901);吉林省科技发展计划项目(20170204073GX,20180520071JH)。

摘  要:针对增程式电动汽车增程器多点控制策略的优化问题,提出了一种基于多目标参数优化结果的增程器能量管理控制策略。首先,基于AVL-Cruise和Matlab-Simulink软件搭建整车系统仿真控制模型,基于NSGA-Ⅱ算法,以循环工况下的系统能耗、排放和电池容量衰减率为目标函数,以增程器最小持续工作时间为优化变量,构建了多目标优化模型。离线优化得到综合评估指标下的发动机最小持续工作时间Pareto最优解。设计了模糊控制器,在线实时调整发动机各工作点最小持续工作时间。结果表明:可实时调参的增程器多点控制策略能有效平衡能耗、排放和电池容量衰减率的关系,在有效降低能耗和排放的同时维持了较小的电池容量衰减率。Aiming at the multi-objective optimization(MOO)problem of multi-point control strategy for auxiliary power unit(APU)of the range-extended electric vehicle,an energy management control strategy for APU based on MOO results is proposed. Firstly,the vehicle simulation model was established on AVL-Cruise and Matlab-Simulink software,and a MOO model was built with the system energy consumption,emissions and battery capacity attenuation rate as the objective functions based on NSGA-Ⅱ algorithm,the minimum continuous working time of the engine was taken as the optimization variable. In off-line optimization,Pareto optimal solution was obtained under the comprehensive objective. An realtime adaptive fuzzy controller was designed and the minimum continuous working time of the engine was adjusted online. Simulation results show that the proposed strategy can effectively balance the relationship among energy consumption,emissions and battery capacity decay rate,while effectively reducing energy consumption and emissions while maintaining a small battery capacity loss rate.

关 键 词:车辆工程 能量管理 增程器控制策略 NSGA-Ⅱ算法 多目标优化 

分 类 号:U461.8[机械工程—车辆工程]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象