自适应坡度的复合电源物流车能量管理研究  

Research on Energy Management of Compound Power Logistics Vehicle Based on Adaptive Slope

作　　者：吴婧之 余芳 杨佳珠 刘静雯 杨勇生[1] Wu Jingzhi;Yu Fang;Yang Jiazhu;Liu Jingwen;Yang Yongsheng(Shanghai Maritime University,Shanghai 201306)

机构地区：[1]上海海事大学,上海201306

出　　处：《汽车技术》2023年第3期56-62,共7页Automobile Technology

基　　金：上海市科学技术委员会资助项目(20dz1203005)。

摘　　要：为提高复合电源纯电动物流车的能量利用率,结合道路坡度对现有的复合电源能量管理策略进行了优化。首先,设计可基于不同道路坡度系数自动调整超级电容输出功率的模糊控制器;然后,采用粒子群优化算法对模糊控制器进行优化;最后,利用MATLAB/Simulink在CYC_UDDS城市道路工况下设定不同的坡度进行仿真验证。仿真结果表明,所提出的控制策略在固定上坡、固定下坡和实际城市道路坡度下分别可减少3.47%、28.91%和3.94%的能量消耗,更好地发挥超级电容的优势。In order to improve the energy utilization rate of composite power pure electric logistics vehicle,this paper optimized the existing composite power energy management strategy combined with the road slope.Firstly,a fuzzy controller which can automatically adjust the output power of supercapacitor based on different road slope coefficients was designed.Then Particle Swarm Optimization(PSO)algorithm was used to optimize the fuzzy controller.Finally,MATLAB/Simulink was used in CYC_UDDS to set different slopes for simulation verification under urban road conditions.The simulation results show that the proposed control strategy can reduce the energy consumption by 3.47%,28.91%and 3.94%respectively on the fixed uphill,fixed downhill and the actual urban road slope,so it can give better play to the advantages of supercapacitor.

关 键 词：复合电源 能量管理 道路坡度 模糊控制 粒子群优化 

分 类 号：U469.72[机械工程—车辆工程]