基于充电行为电量规划的自适应能量管理策略  

Adaptive energy management strategy based on charging behavior and energy planning

作　　者：汪少华[1,2] 郑允祥 施德华 WANG Shaohua;ZHENG Yunxiang;SHI Dehua(Automotive Engineering Research Institute,Jiangsu University,Zhenjiang 212013,China;Jiangsu Engineering Research Center of Electric Drive System and Intelligent Control for Alternative Vehicles,Zhenjiang 212013,China)

机构地区：[1]江苏大学汽车工程研究院,江苏镇江212013 [2]江苏省新能源汽车电驱动系统与智能控制工程研究中心,江苏镇江212013

出　　处：《重庆理工大学学报（自然科学）》2024年第6期1-10,共10页Journal of Chongqing University of Technology：Natural Science

基　　金：中国博士后科学基金项目(2023M731444);镇江市重点研发计划(GY2021001)。

摘　　要：为提高插电式混合动力汽车(PHEV)的燃油经济性,以并联式PHEV为研究对象,考虑驾驶员充电行为,提出基于充电行为电量规划和等效燃油消耗最小策略(ECMS)的自适应能量管理策略。构建了包含不同类型工况的组合工况。根据驾驶员的充电行为特征(充电频率、充电上限、放电下限)进行充电行为分析,并进行4类工况电量消耗与燃油消耗ECMS策略下的离线仿真数据获取。根据驾驶员充电行为以及离线数据进行SOC轨迹的规划。结果表明:在电池SOC初始值分别为0.9、0.6时,提出的能量管理策略相较于基于电量消耗维持的等效燃油消耗策略,整车燃油经济性分别提升7.87%和13.1%。To enhance the fuel efficiency of plug-in hybrid electric vehicles(PHEV),this paper takes parallel PHEVs as research object and proposes an adaptive energy management strategy based on charging behavior,energy planning,and the equivalent fuel consumption minimization strategy(ECMS).First,a set of combined operating conditions encompassing various work cycles is constructed.Second,an analysis of charging behavior is conducted based on driver-specific characteristics such as charging frequency,charging upper limit,and discharge lower limit.Offline simulation data on battery consumption and fuel consumption under the ECMS for four distinct operating conditions are then obtained.Finally,SOC trajectory planning is performed based on driver charging behavior and offline data.Our findings indicate that,with initial battery SOC values of 0.9 and 0.6 respectively,the proposed energy management strategy improves vehicle fuel economy by 7.87% and 13.1% compared to the ECMS solely based on battery consumption maintenance.

关 键 词：混合动力汽车 能量管理策略 电量规划 等效燃油消耗最小策略 充电行为特征 

分 类 号：U469.7[机械工程—车辆工程]