摘要
根据一台压缩天然气(CNG)发动机试验数据,建立了CNG发动机增程式电动汽车模型。基于该模型提出了一种基于规则的能量管理策略,能够保证CNG发动机工作在高效区,但是存在电流波动幅度较大有损电池寿命的问题。为了抑制电流激变同时进一步降低增程式电动汽车(E-REV)的燃油消耗,基于模型预测控制(MPC)技术,提出了一种协同燃油消耗与电池保护的能量管理优化策略。世界轻型汽车测试循环(WLTC)工况下的仿真分析表明:相比于基于规则的能量分配控制器,本文提出的MPC控制器能够进一步降低3.7%的油耗,同时抑制了电流激变,有效保护了电池。
An extended-range electric vehicle model with a compressed natural gas(CNG)engine was established referring to the experimental test data of the CNG engine.A rule‐based method for power split was proposed to ensure that the CNG engine works in the high-efficiency area.However,its current fluctuates greatly,which will result in a damaged battery.In order to suppress the current surge and further improve fuel consumption,a model predictive control(MPC)method for power split coordinating fuel consumption and battery protection was proposed.Simulation results show that the proposed MPC method can further reduce fuel consumption by 3.7%and suppress the current surge for effectively protecting the battery,as compared to the rule‐based method under a world light test cycle(WLTC)driving cycle.
作者
赵靖华
张雨彤
曹派
王忠恕
李小平
孙亚南
解方喜
ZHAO Jing-hua;ZHANG Yu-tong;CAO Pai;WANG Zhong-shu;LI Xiao-ping;SUN Ya-nan;XIE Fang-xi(College of Computer,Jilin Normal University,Siping 136000,China;State Key Laboratory of Automotive Simulation and Control,Jilin University,Changchun 130022,China;Jiangsu Hanxuhe Power Technology Co.,Ltd.,Yangzhou 225000,China)
出处
《吉林大学学报（工学版）》
EI
CAS
CSCD
北大核心
2024年第3期600-609,共10页
Journal of Jilin University:Engineering and Technology Edition
基金
吉林省科技厅项目(20200301021RQ)
吉林大学汽车仿真与控制国家重点实验室开放课题项目(20191201).
关键词
自动控制技术
模型预测控制
能量管理
增程式混合动力车辆
压缩天然气发动机
automatic control technology
model predictive control
energy management
extended-range electric vehicle
compressed natural gas engine
