許多的研究已經確認磷酸鋰鐵其電池芯，在充電與放電的過程中其行為模式都是

許多的研究已經確認磷酸鋰鐵其電池芯，在充電與放電的過程中其行為模式都是一種相當複雜的非線性型態，完全無法用數學模型來精確地估測其充放電行為，連帶地嚴重地影響到在電壓平衡系統中所必須進行的電池芯其電荷狀態(State of Charge, SOC)估測之準確度。基於上述各項因素的考量，在本項計畫案中我們採用基於人工智慧的機器學習策略，實現一個模糊控制電路模組，藉以達到磷酸鋰鐵電池組其電芯電壓平衡之計畫目標。

結果 (英文) 1:

Many studies have confirmed that the lithium iron phosphate battery cell, the charging and discharging process in which a rather complex pattern of behavior is non-linear patterns, not entirely mathematical model to accurately estimate the charging and discharging behavior, jointly seriously affect the battery cell voltage that must be performed in its state of charge balancing system (state of charge, SOC) estimation of accuracy. Based on consideration of the factors described above, in the present case we use the term project based on machine learning strategies artificial intelligence, fuzzy control to realize a circuit module, so as to achieve a balance of iron phosphate lithium battery cell voltage which is a target program.

結果 (英文) 2:

Many studies have confirmed that lithium phosphate, its battery cell, behaves in a rather complex nonlinear pattern during charging and discharging, and cannot accurately estimate its charge and discharge behavior with mathematical models, which seriously affects the charge state of the battery cell that must be carried in a voltage balancing system (State of the Charge, SOC) estimates the accuracy. Based on the above factors, in this plan we use artificial intelligence-based machine learning strategy to achieve a fuzzy control circuit module to achieve the planned target of the core voltage balance of the lithium iron phosphate battery pack.

結果 (英文) 3:

Many researches have confirmed that the behavior mode of lithium iron phosphate battery cell is a rather complex nonlinear type in the process of charging and discharging, which can not be accurately estimated by mathematical model, and seriously affects the state of charge of battery cell which must be carried out in the voltage balance system, SOC) estimation accuracy. Based on the above factors, in this project, we use machine learning strategy based on artificial intelligence to realize a fuzzy control circuit module, so as to achieve the planned goal of cell voltage balance of lithium iron phosphate battery pack.