摘要
插电式混合动力汽车兼顾传统混合动力汽车和纯电动汽车的优点,即具有较长的续驶里程又具有较好的燃油经济性,插电式混合动力汽车的实时能量管理策略是发挥节能潜力的关键技术。为解决具有手动行驶模式选择功能的P2构型插电式混合动力汽车的能量管理实时优化问题,定义发动机和电机功率分配因子,在任何SOC下从电量消耗模式切换到电量维持模式时,提出通过功率分配因子动态调整发动机最优工作曲线获得最佳的燃油经济性的实时能量管理策略。建立功率分配因子全局优化模型,利用自适应模拟退火算法离线优化功率分配因子,研究功率分配因子和SOC对整车燃油经济性的影响规律,得到在不同SOC的最优功率分配因子控制线。从而建立基于最优功率分配因子控制线的插电式混合动力汽车实时控制能量管理策略。在多个循环工况下对比仿真分析不同SOC下的燃油经济性,结果表明基于最优功率分配因子的能量管理策略使得燃油经济性改善幅度最大可达16.99%。
Plug-in hybrid electric vehicle(PHEV) has the advantages both of traditional hybrid electric vehicle(HEV) and electric vehicle(EV),which not only has long driving distance but only has good fuel economy. Energy management strategy is the key technology for achieving fuel-saving potential. In order to solve the real-time optimization problem of energy management of plug-in hybrid electric vehicle. A PHEV with driving modes manual selection function is regarded as researching object and power allocation factor(PAF) is proposed. When PHEV switches modes from charge-depleting(CD) to charge-sustaining(CS) at any point of SOC,PAF plays a role to adjust the engine best working line dynamically to get a better fuel economy. A global optimization model for PAF is built and adaptive simulated annealing(ASA) algorithm is used to get the optimal PAF offline. The effect of PAF and SOC to fuel economy is observed and the optimal PAF line for real time control is obtained. Then optimal PAF based real time control energy management strategy is proposed and simulation experiment is carried out over two driving cycles. The results indicate that fuel economy of PHEV has an improvement about 16.99% by PAF-based control strategy.
作者
刘辉
李训明
王伟达
韩立金
闫正军
LIU Hui;LI Xunming;WANG Weida;HAN Lijin;YAN Zhengjun(School of Mechanical Engineering,Beijing Institute of Technology,Beijing 100081;National Key Lab of Vehicular Transmission,Beijing Institute of Technology,Beijing 100081)
出处
《机械工程学报》
EI
CAS
CSCD
北大核心
2019年第4期91-101,共11页
Journal of Mechanical Engineering
基金
国家自然科学基金资助项目(U1564210
51575043
51775040)
关键词
插电式混合动力汽车
能量管理策略
功率分配因子
全局优化模型
实时控制
plug-in hybrid electric vehicle
energy management strategy
power allocation factor
global optimal model
real time control
