本文研製一以模糊邏輯控制為基礎的智慧型電池平衡器，此平衡器電路著重於穩定的控制電池平衡器的平衡電流。本文所提出之平衡電路功率級採用雙向返馳式轉換器，使用此架構可使得平衡電路在單顆電池與整組電池組間雙向傳送能量，透過兩種平衡操作模式能夠有效的使電池組裡的電池電量達到平衡。然而，此雙向返馳式轉換器的導通週期若為固定，平衡電流會隨著電池電壓的下降而下降，如此會使得平衡後期的速度變慢。為了解決此問題，本文提出利用模糊邏輯演算法進行平衡控制，此新型的模糊邏輯控制可根據電池電壓與電池組電壓來調變責任週期以保持一恆定的平衡電流，與固定責任週期法和多階段責任週期調整法相比，所提出的模糊控制平衡電流法能有效的減少36%與19%的平衡時間。

In this thesis, an intelligent cell balancing scheme based on fuzzy logic control (FLC) is proposed to adaptively control the equalizing current of series-connected lithium-ion batteries. The power stage utilized in this thesis is a bidirectional flyback converter. Using this topology, bidirectional energy transfer between an individual cell and the whole battery pack can be achieved. Using this approach, efficient cell balancing can be achieved.
However, if the duty cycle of the bidirectional flyback converter is kept constant, the balancing current will decrease as the cell voltage decreases; this will correspondingly increase the balancing time. To deal with this problem, a FLC-based balancing algorithm is proposed. The presented FLC-based technique can adjust the duty cycle value according to the measured voltage and keeps the balancing current nearly constant. Comparing with fixed-duty-cycle and multi-stage duty-cycle approaches,

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