本論文對於鋰離子電池組的固有電量中，加入不同放電調度機制，目的為了提升電池組的運行時間，有效善用電池本身的恢復效應以及不同放電電流下對於額定容量效應的影響，且電池放電過程中加入擴展卡爾曼濾波器應用於估測電池的殘存電量，用以達到實時監控電池當前狀態。本研究電池組是由4顆相同的鋰離子電池並聯組成，用以比較不同放電調度機制，分別有並聯放電和貪婪調度，以及本文所提Peukert定律結合權重調度，同時驗證Peukert定律於鋰離子電池之運用。為分析電池組的不同放電機制，吾人建立兩種不同放電情境，一是電池組電量於滿電(100%)和非滿電(100%、95%、90%、85%)兩種狀態，並進行不同放電率(0.5C、0.75C、1.0C、1.25C、1.5C)的實驗，二是規劃負載用電的情境為負載用電順序固定與隨機變動兩種，共假設四種不同負載電流和放電時間，分別為滿載(2.0 C / 5 min)、半載(1.5 C / 7 min)、輕載(1.0 C / 8 min)和極輕載(0.75 C / 10 min)。由實驗結果得知，Peukert定律結合權重調度於不同放電情境時，可有效提升電池組的放電量且延長負載的運行時間，並快速平衡各顆電池的電量差異，進而達到電池電量平衡的效果。

In this thesis, various discharge scheduling mechanisms were implemented in a lithium-ion battery pack to enhance its operational time and make efficient use of the battery's recovery effect and the impact of rated capacity at different discharge currents. An extended Kalman filter was employed during the battery discharge process to estimate the remaining capacity and enable real-time monitoring of the battery's current state. The battery pack used in this study consists of four identical lithium-ion batteries connected in parallel. Three different discharge scheduling methods including parallel discharge, greedy scheduling, and the proposed method combining Peukert's law with weighted scheduling were compared. The applicability of Peukert's law to lithium-ion batteries was also verified.
To analyze the different discharge mechanisms of the battery pack, two scenarios were arranged. The first scenario involved discharging the battery pack under full charge (100%) and non-full charge conditions (100%, 95%, 90%, 85%) at different discharge rates (0.5C, 0.75C, 1.0C, 1.25C, 1.5C). The second scenario involved planned load with fixed and random variations. Four different load currents and discharge times were considered: full load (2.0C/5 min), half load (1.5C/7 min), light load (1.0C/8 min), and very light load (0.75C/10 min).
Based on the experimental results, it was found that the method combining Peukert's law with weighted scheduling effectively increased the discharge capacity of the battery pack and extended the operational time of the load under different discharge scenarios. It also helped quickly balance the differences in the individual battery capacities, thus achieving battery capacity balancing.

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