PHEV工况自适应能量管理策略研究  

Adaptive Energy Management Strategy for PHEV

作　　者：李玲 陶发展[1] 付主木 LI Ling;TAO Fa-zhan;FU Zhu-mu(School of Information Engineering,Henan University of Science and Technology,Luoyang Henan 471000,China;College of Physics and Electronic Information,Luoyang Normal University,Luoyang Henan 471000,China)

机构地区：[1]河南科技大学信息工程学院,河南洛阳471000 [2]洛阳师范学院物理与电子信息学院,河南洛阳471000

出　　处：《计算机仿真》2025年第2期147-154,共8页Computer Simulation

基　　金：国家自然科学基金(62201200);河南省高校科技创新人才计划项目(23HASTIT021);龙门实验室重大科技项目(231100220200);河南省重点研发与推广专项科技攻关(222102210056,222102240009);河南省科技研发计划联合基金(222103810036);内蒙古机电控制重点实验室开放基金(IMMEC2022001,IMMEC2022002)。

摘　　要：针对PHEV节油潜能未充分发挥和现有能量管理策略的工况适应性不足的问题,提出PHEV工况自适应能量管理策略。首先讨论了等效能耗最小策略(ECMS)的优化效果与等效因子的关系;其次提出等效因子寻优算法,并分析了等效因子优化值与工况类型的关系,在此基础上构建了等效因子查找表;第三,采用查找表在线确定等效因子,构建了工况自适应的ECMS策略。仿真表明,不同工况类型下等效因子优化值有明显的统计差异。所提出的工况自适应能量管理策略可适应不同工况类型,在保证优化效果的同时提高了运算速度,有利于实际应用。In order to solve the problems of PHEV's insufficient energy-saving potential and insufficient adaptability of existing energy management strategies,a PHEV adaptive energy management strategy is proposed in this paper.Firstly,the relation between the optimization effect of the equivalent energy consumption minimization strategy(ECMS)and the equivalent factor is discussed.Then,the algorithm of the equivalent factor optimization is put forward,and the relation between the optimal value of the equivalent factor and the type of driving condition is analyzed.Thirdly,the equivalent factor lookup table is constructed and used to determine the equivalent factor online,thus,an adaptive ECMS strategy is constructed.Simulation results show that there are significant statistical dfferences in the optimal values of the equivalent factors under dfferent driving conditions.The proposed adaptive energy management strategy can adapt to different types of driving conditions,and improve the operation speed while ensuring the optimization effect,which is beneficial to practical application.

关 键 词：能量管理 可插电混合动力汽车 等效能耗最小策略 工况自适应 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术] TP202.7[自动化与计算机技术—计算机科学与技术]