计算机科学
荷电状态
电池(电)
估计
国家(计算机科学)
算法
作者
Rafael Sanín,Mauricio Fernández-Montoya,Maria Alejandra Garzon-Vargas,Alejandro Velasquez-Lopez
出处
期刊:Communications in computer and information science
日期:2019-10-16
卷期号:: 605-615
标识
DOI:10.1007/978-3-030-31019-6_51
摘要
Accurate estimation of Rechargeable Batteries Parameters, such as State Of Charge (SOC), contributes to their safety and reliable operation in a wide variety of applications (e.g. automotive, stationary energy storage, medical equipment, among others). Due to variations in environmental and load conditions, battery cells and their instrumentation devices can experience deviations from their standard operation values, leading to an imprecise measurement of State Of Charge (SOC) indicator variables. Then, SOC estimation models are required. These estimations developed through analytical models consider intrinsic battery chemistry variables and operation cycle conditions are taken from charge and discharge testing; where hysteresis phenomena, measurement, and theoretical adjustment errors can be identified over Open Circuit Voltage (OCV)-SOC curves.
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