MPPT Algorithms of AETEG Based on Dichotomy and Gradient Method

Abstract

Abstract: A function of output power and voltage for thermoelectric conversion module was fitted by the least square method based on the AETEG experimental system. Herein, a novel MPPT algorithm characterized by the aggregated dichotomy and gradient method was proposed, in comparison to some traditional algorithms such as the open circuit voltage proportional coefficient method and the disturbance observation method et al. The experimental results show that the tracking accuracy and speed of proposed method are as 98.7% and 120ms respectively, having a significant improvements compared with existing algorithms.

Key words: thermoelectric conversion, automobile exhausts thermoelectric generator (AETEG), maximum power point tracking(MPPT), gradient and dichotomy method

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。

关键词: 热电转换, 汽车尾气热电发电, 最大功率跟踪, 二分梯度法

CLC Number:

Fang Wei, Quan Shuhai , Fang Hong , Tan Baohua, Huang Liang . MPPT Algorithms of AETEG Based on Dichotomy and Gradient Method[J]. China Mechanical Engineering.

房伟, 全书海 , 方洪 , 谭保华, 黄亮 . 基于二分梯度法的汽车尾气发电最大功率跟踪算法[J]. 中国机械工程.

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