Open AccessComparative study of state of charge estimation algorithms for Lithium-Ion Battery
Author(s) -
N Shamarova,
Przemysław Komarnicki,
Christoph Wenge
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1111/1/012053
Subject(s) - battery (electricity) , state of charge , internal resistance , reliability (semiconductor) , reliability engineering , computer science , process (computing) , lithium (medication) , state of health , power (physics) , task (project management) , state (computer science) , automotive engineering , energy (signal processing) , electrical engineering , engineering , algorithm , systems engineering , mathematics , medicine , statistics , physics , quantum mechanics , endocrinology , operating system
Batteries are known to have found full applications in industries ranging from small electronic devices, mobile phones to complex systems such as electric vehicles and energy storage systems. The last one is characterized by the presence of large batteries with more than hundreds or thousands of batteries, so the process of estimation of their parameters becomes even more critical, demanding and complex. The evaluation of the state of batteries should be understood as finding the exact value of the following values: state of charge, capacity and internal resistance. The last two parameters are used to assess the health of batteries, to find available power and amount of energy respectively. Estimation the state of charge remains one of the most difficult tasks in the study of battery conditions. It is also one of the most important parameters that affect the correct operation of the battery, namely reliability, safety, performance. The main task of this paper is to present methods for reliable testing and evaluation of lithium batteries under different scenarios and conditions.