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作 者:王喆伟 朱文超 黄亮[1] 谢长君[1,2] 李浩[1] Wang Zhewei;Zhu Wenchao;Huang Liang;Xie Changjun;Li Hao(School of Automation,Wuhan University of Technology,Wuhan 430070;Hubei Key Laboratory of Modern Auto Parts Technology,Wuhan University of Technology,Wuhan 430070)
机构地区:[1]武汉理工大学,自动化学院,武汉430070 [2]武汉理工大学,现代汽车零部件技术湖北省重点实验室,武汉430070
出 处:《汽车技术》2021年第8期14-19,共6页Automobile Technology
基 金:国家自然科学基金面上项目(51977164)。
摘 要:基于局部逐级拓扑优化的车载尾气发电系统,提出了一种基于线性外推的最大功率跟踪算法,实时调节电路阻抗完成目标负载的阻抗匹配,建立了热电发电系统仿真模型,验证了算法的可行性,并通过试验台架测试,在不同工况下对比基于线性外推的最大功率跟踪(MPPT)算法和经典的扰动观察法的灵敏度和误差,试验测得在3500 r/min的发动机转速下,基于线性外推的MPPT算法的跟踪误差为4.09%,且不同工况下最低跟踪误差达3.55%。结果表明,所提出的算法跟踪所需时间更短、误差更小,能够最大化系统功率输出。Based on the vehicle exhaust electricity generation system with the local stepwise topology optimization,this paper proposes a Maximum Power Point Tracking(MPPT)algorithm based on linear extrapolation.With the circuit impedance adjusted in real time to complete the impedance matching of the target load,the simulation model of thermoelectric power generation system is established to verify the feasibility of the algorithm that has passed the bench test,and the sensitivity and error of MPPT algorithm based on linear extrapolation and the classical disturbance observation method are compared in different working conditions.Test results show that the tracking error of MPPT algorithm based on linear extrapolation is 4.09%at the engine speed of 3500 r/min,and the minimum tracking error in the different working conditions is 3.55%.The results show that the proposed algorithm has shorter tracking time and smaller error and can maximize the system power output.
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