本研究提出一個新的殘電量量測方法，其基礎理論是電池在放電時，電池內的等效電阻和電容都會隨著放電深度的變化而改變大小。本文針對此特性設計了一套電池殘電量量測系統，能不影響電池放電的情況下，對電池輸入一個步階訊號，擷取電池在放電狀態下的步階響應，利用數位濾波器與系統鑑別的技術後處理分析電池響應資料，找出電池在系統參數，發現系統參數與殘電量存在線性關係，經過環境因素補償法補償後，可用系統參數評估電池的殘電量。 One of the most important tasks of the power lithium - ion battery management systems is to precisely estimate the current state of charge (SOC) of the batteries online.This paper presents a new, online, battery state-of-charge estimation and monitoring system for discharge periods of lithium - batteries, commonly used in telecommunication power systems. Our battery management system can perform both the online monitoring and SOC estimation tasks by the use of the same low-cost 8-bit micro-controller. The state equation for battery model and the system dynamic approach for system identification also have been presented. The test results show the proposed identification system has good performance with reduced battery dynamic under the real environments.
