電池電量測試方法

專利類型

發明

專利國別 (專利申請國家)

中華民國

專利申請案號

101127793

專利證號

I 461718

專利獲證名稱

電池電量測試方法

專利所屬機關 (申請機關)

義守大學

獲證日期

2014/11/21

技術說明

本技術以機率類神經網路法，發展智慧型電池殘餘電量(State of Charge, SOC)估測網路。以8051單晶片微處理機為基礎，嵌入機率類神經網路殘餘電量建模韌體，完成電動機車殘餘電量監視系統研製。應用磷酸鋰鐵電池之高能量密度特性優點為電池系統，提高電池使用效率及增加電動機車馬達負載續航力。依騎乘者隨機操作放電模式，即時監視電動機車電池動態負載行為，擷取電池端電壓、放電電流及計算殘餘電量。考量電池放電電流加乘效應，修正電池端電壓與殘餘電量之非線性模型。以電池端電壓為機率類神經網路輸入變數，電池殘餘電量為輸出變數，完成機率類神經網路殘餘電量估測模型之學習及回想訓練。 This technology utilizes the probabilistic neural network approach to develop the intelligent battery state of charge (SOC) estimation network. Based on the 8051 single-chip microprocessor, the electric motorcycle intelligent battery SOC estimation system is developed by embedding the probabilistic neural network SOC modeling firmware. According to the random operational power discharge mode of the motorcycle rider, the battery dynamic load of the electric motorcycle could be monitored in real time to retrieve the battery terminal voltage and discharge current, and calculate the battery’s SOC. By considering the synergic effect of the battery power discharge current, non-linear models of battery terminal voltage and SOC are modified. With the battery terminal voltage as the input variable and SOC as the output variable of the probabilistic neural network (PNN), the learning and recalling training of the probabilistic neural network SOC estimation model are completed.

備註

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