双参数优化的混合动力汽车能量管理策略研究  

Research on Energy Management Strategy of HEV Based on Dual Parameter Optimization

作　　者：严陈希 黄明宇[2] 史定洪[1] 邹晔[1] YAN Chen-xi;HUANG Ming-yu;SHI Ding-hong;ZOU Ye(School of Automobile and Transportation,Wuxi Institute of Technology,Jiangsu Wuxi 214121,China;School of Mechanical Engineering,Nantong University,Jiangsu Nantong 226019,China)

机构地区：[1]无锡职业技术学院汽车与交通学院,江苏无锡214121 [2]南通大学机械工程学院,江苏南通通226019

出　　处：《机械设计与制造》2023年第8期253-258,264,共7页Machinery Design & Manufacture

基　　金：江苏省高校自然科学研究项目(17KJD470004)。

摘　　要：为了挖掘新型功率分流式混合动力汽车能量管理策略的节能潜力,设计了一种双参数优化的等效油耗最低策略(AD-ECMS)。首先,提出并验证了发动机起停规则对整车经济性的影响。基于此,优化出一种改进型粒子群算法(ISPSO),根据对等效油耗和电量的实时跟踪,实现对最优等效因子及发动机起停规则的双参数求解。随后,提出了一种双参数优化的等效油耗最低策略,利用模糊控制器识别当前工况特征,通过在线更新等效因子和发动机起停规则,实现经济性能量管理。最后,与ECMS策略、A-ECMS策略进行仿真对比及实验验证,结果表明:AD-ECMS策略在整车经济性和电量平衡性上,都具备更好的控制效果。In order to tap the energy saving potential of the energy management strategy of a power split hybrid electric vehicle,an adaptive equivalent consumption minimum strategy based on dual parameter optimization(AD-ECMS)was designed.First of all,pointed out that strategic economy is related to engine start-stop rules.Then,an improved particle swarm algorithm was optimized,which realizes the optimization ofthe equivalent factor and engine start-stop points based on real-time tracking ofequiva lent fuel consumption and SOC.Subsequently,an adaptive equivalent consumption minimum strategy with dual parameter optimization was proposed.For this strategy,a fuzzy logic controller was developed to achieve driving pattern recognition,and then achieved the goal of economic energy management by updating the equivalent factor and engine start-stop points online.Finally,a comparative simulation and experimental verification on AD-ECMS were conducted against standard ECMS and AECMS strategy.The results show that the AD-ECMS strategy has better control effects in both fuel economy and SOC balance.

关 键 词：混合动力汽车 能量管理 发动机起停规则 改进型粒子群算法 等效油耗最低策略 

分 类 号：TH16[机械工程—机械制造及自动化] U461.8[机械工程—车辆工程]