随机动态规划和粒子群嵌套寻优的PHEV能量优化  

PHEV Energy Optimization Based on Stochastic Dynamic Programming and Particle Swarm Nested Optimization

作　　者：李红娟[1] 郭向阳[1] 刘宏建[2] LI Hong-juan;GUO Xiang-yang;LIU Hong-jian(School of Information and Electric Engineering,He’nan University of Animal Husbandry and Economy,He’nan Zhengzhou 450044,China;School of Geographic Spatial Information,Information Engineering University,He’nan Zhengzhou450002,China)

机构地区：[1]河南牧业经济学院信息与电子工程学院,河南郑州450044 [2]信息工程大学地理空间信息学院,河南郑州450002

出　　处：《机械设计与制造》2020年第7期150-155,共6页Machinery Design & Manufacture

基　　金：2018年度河南省科技厅软科学项目(182400410056);2019年度河南省教育厅高等学校重点研究项目(19B520009)。

摘　　要：为了同时降低插电式混合动力汽车的能量消耗和电池寿命衰减速率,提出了随机动态规划和粒子群嵌套寻优的能量管理方法。建立了车辆的传动系统模型和电池模型,在电池寿命模型中引入寿命影响因子,使电池累计电量由理想情况转化为实际情况;为了描述车辆状态,建立了具有概率统计模型的驾驶循环模型;根据以上模型,将混合动力汽车能量控制问题转化为带约束优化问题;提出了随机动态规划和粒子群嵌套寻优的求解方法,使用粒子群搜索最优权重,达到能量消耗和寿命衰减速率最佳平衡。经仿真验证,相比于固定权重系数,嵌套寻优方法具有更优的控制结果;与文献[10]控制方法相比,等价燃油消耗减少了43.74%,电池寿命衰减率减少了35.53%,充分证明了嵌套寻优方的优越性。In order to reduce energy cost and battery life rate of decay of plug-in hybrid electric vehicle,energy management method based on stochastic dynamic programming and particle swarm nested optimization is proposed.Driveline model and battery model of vehicle are built.Lifetime influence factor is introduced to battery lifetime model,so that ideal model of cumulative power is transferred to real model.To describe vehicle state,driving cycle model possessing the characteristics of probability and statistics is built.Based on the models above,energy control problem of PHEV is transferred to constrained optimization problem.Solving method of stochastic dynamic programming and particle swarm nested optimization is put forward.Optimal weight is searched by particle swarm algorithm,so that optimum balance of energy cost and lifetime rate of decay is reached.Clarified by simulation,compared with fixed weight,nested optimization possesses superior control result.Compared with control method in essay[10],equivalent fuel consumption decreases by 43.74%,battery lifetime rate of decay decreases by 35.53%,which proves superiority of nested optimization in PHEV energy management adequately.

关 键 词：混合动力汽车 能量消耗 电池寿命衰减 嵌套寻优 随机动态规划 

分 类 号：TH16[机械工程—机械制造及自动化] TP273.1[自动化与计算机技术—检测技术与自动化装置]