基于二分梯度法的汽车尾气发电最大功率跟踪算法

发布时间：2018-03-21 20:06

  本文选题：热电转换　切入点：汽车尾气热电发电　出处：《中国机械工程》2016年19期 　论文类型：期刊论文

【摘要】：基于建立的汽车尾气热电发电实验系统,采用最小二乘法对热电输出功率与电压的数据进行了拟合,并针对已有开路电压比例系数法、干扰观测法等MPPT算法在热电发电系统中应用存在的不足,提出了基于二分梯度法的新型MPPT算法,并给出详细算法实现步骤。实验结果表明,采用二分梯度法的MPPT算法相比传统算法在跟踪精度和速度上有较大提升,其最大功率点跟踪精度达到98.7%,跟踪速度为120ms。
[Abstract]:Based on the experimental system of automobile exhaust thermoelectric power generation, the data of output power and voltage are fitted by least square method, and the ratio coefficient method of open circuit voltage is used to solve the problem. In this paper, a new MPPT algorithm based on dichotomous gradient method is proposed, and the implementation steps of the algorithm are given. The experimental results show that, Compared with the traditional MPPT algorithm, the tracking accuracy and speed of the MPPT algorithm with bipartite gradient method are greatly improved. The maximum power point tracking accuracy is 98.7 and the tracking speed is 120ms.
【作者单位】： 武汉理工大学;太阳能高效利用湖北省协同创新中心;湖北工业大学;
【分类号】：U464.134.4;TM617
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本文编号：1645349