Abstract
Establishing robust, accurate, and low-complexity battery models is crucial for Smart Grid applications to effectively utilize and manage lithium-ion batteries and estimate battery states. This paper analyzes lithium-ion battery electrochemical impedance spectrograms and integrates impedance elements with fractional-order characteristics into Thevenin circuit models based on fractional calculus theory. These models can be embedded in microprocessors for accurate real-time results. A time domain identification procedure minimizes Integral Absolute Error, yielding simple, high-accuracy fractional order modeling of Energy Storage Systems in Real Smart Grids, with a very acceptable average Nrmse index of fit.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
