現今世界對於鋰電池的使用越來越廣泛，隨之對於電量的預估就需要越來越精確，而市面上對於鋰電池電量的預估方式，通常是使用庫倫積分法進行預測電量，但實際使用上，會出現越來越不準的現象，所以出現了許多對於補償方式的研究，可是在深入了解後，發現都有其缺點存在，最後會導致電量預估誤差擴大，針對這些缺點，作者建構一套殘餘電量預估的數學模型，並將此模型擴展到可通用到異種電池，新電池只需循環幾次充放電，就可以建構自己的殘餘電量數學模型，甚至可以在每顆鋰電池的使用過程，不斷校正自身的數學模型，使電量預估的準確率提高，而在電池衰減時，此套模型可以事先反應並不斷調整模型來符合衰減後的電池，真正做到每顆電池客製化自己的數學模型，並可讓使用者最佳化充放電參數，減緩電池衰減，本研究實證完整的放電誤差在2%內，而放電5成後的誤差率也在3%左右，此數學模型可供電池廠商，手機廠商，電動車廠商等等有需要使用到鋰電池進的廠商，進行續開發成軟體、充電器等。

Nowadays, the increasingly extensive application of Lithium batteries proposes a more accurate requirement for the estimation of power consumption. Coulomb counting method is the commonly used way to estimate Lithium battery power in the market, but it will become more inaccurate in actual. For this reason, many studies on compensation methods are conducted. However, the in-depth understanding finds the shortcomings are widespread. There are two most important problems. One is the compensation method after battery attenuation, which is too complicated and time-consuming to be performed by ordinary users. The other is that there is no discussion or research on the interaction between current and power charge & discharge, which will finally expand the error of power estimation.On this basis, the simple and accessible charge & discharge data is adopted to construct a set of mathematical model for state-of-charge (SOC). Meanwhile, this model is expanded to be universal for dissimilar batteries so that the new battery can establish its own mathematical model of remnant capacity by cycling charge & discharge for several times. Moreover, each cell in the new battery can even keep rectifying its mathematical model during use so as to accurately enhance battery estimation. By means of reacting in advance and constantly adjusting the model, this set of model can also match the attenuated battery to authentically enable each cell to customize its mathematical model. The model allows users to optimize charge and discharge parameters so as to slow down the battery attenuation. In this study, it is empirically verified that the complete discharge error is within 2% and the error after 50% of discharge is about 3%. This mathematical model is applicable to manufacturers using Lithium battery, such as the producers of battery, cell phone and electric vehicle, which can be further developed into software and charger, etc.

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