复合储能式装载机动态规划能量管理策略仿真  

Simulation of dynamic programming energy management strategy for composite energy storage loaders

作　　者：刘振博[1] 林慕义[1,2] 陈勇 白宇[1] LIU Zhenbo;LIN Muyi;CHEN Yong;BAI Yu(Mechanical Electrical Engineering School,Beijing Information Science and Technology University,Beijing 100192,China;Beijing Laboratory for New Energy Vehicles,Beijing 100192,China)

机构地区：[1]北京信息科技大学机电工程学院,北京100192 [2]北京电动车辆协同创新中心,北京100192

出　　处：《重庆理工大学学报（自然科学）》2024年第11期213-220,共8页Journal of Chongqing University of Technology：Natural Science

基　　金：国家自然科学基金项目(51275053);科技创新能力服务建设-科研基地建设-新能源汽车北京实验室(市级)(PXM2022_014224_000005)。

摘　　要：复合储能式装载机具有多个能量源且结构复杂,为了进一步优化各能量源的分配效果,解决ANFIS无法实现最优控制的问题,在Matlab/Simulink软件中建立装载机整车后向仿真模型,对整车控制器进行动态规划(DP)的算法设计。对优化控制策略开展多工况下模型仿真分析,分析结果显示在应用最广泛的典型V工况下燃油经济性指标值提升了5.41%;利用dSPACE进行硬件在环试验,试验结果与仿真结果基本一致,验证了动态规划控制器的可靠性。This paper studies the optimization of the energy management strategy for a composite energy storage loading machine with multiple energy sources and a complex structure.The compound energy storage loader integrates three energy supply systems:the diesel engine system,battery drive system,and hydraulic system.The diesel engine system provides the primary power required for the loader and serves as the main energy source.The electric drive system,which is second only to the engine system in importance,uses the motor to supply energy for the vehicle’s electronic equipment.The hydraulic drive system provides power for lifting operations and recovers energy.Due to the diverse energy sources and complex structure of the composite energy storage loading machine,efficiently allocating and managing these energy sources presents a critical challenge.While the traditional adaptive neuro-fuzzy inference system(ANFIS)can manage energy to some extent,it cannot achieve global optimal control.Therefore,this time,dynamic programming algorithm is used to optimize the loader’s energy management strategy in four typical working conditions,so as to achieve the global optimization strategy of energy management under all working conditions.In the research process,a backward simulation model of the loading machine was established in Matlab/Simulink,and a dynamic programming-based algorithm was designed to optimize the energy management strategy of the vehicle controller.The dynamic programming algorithm solves the optimal torque allocation problem between the engine,motor,and hydraulic pump/motor in reverse order,based on the known driving and loading conditions.The goal of this strategy is to maximize the fuel economy of the engine while satisfy the vehicle’s power requirements.In the optimization process of the dynamic programming algorithm,three parameters,namely battery SOC,regenerative brake accumulator SOC,and potential energy recovery accumulator SOC,which can reflect the driving and working state of the vehicle and have a

关 键 词：复合储能 动态规划 硬件在环 燃油经济性 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术] TH137[自动化与计算机技术—计算机科学与技术]