리튬이온전지의 노화를 고려한 SOH 및 SOC 추정 알고리즘에 관한 연구

Due to industrialization and the use of fossil fuels, the world is facing problems of abnormal climate and global warming. In order to solve this problem, research and development of electric vehicles and energy storage systems are also rapidly progressing. In this study, we fabricated SOH and SOC estimation algorithm of BMS for efficient use of battery, which is a key component of electric vehicle and energy storage system. Algorithm is made by using internal resistance measuring method that compensates for the disadvantages of voltage based method and coulomb counting method applied to existing BMS. In addition, in order to confirm the algorithm using the internal resistance estimating technique, the experiment was conducted by producing OCV characteristics test and battery model. The SOH and SOC estimation algorithms using internal resistance estimation technique can be used more efficiently than the normal estimation method.