Open AccessA Graphical Model of A Flywheel Energy Storage System based on Causal Ordering Graph and Energetic Macroscopic Representation Methods
Author(s) -
Jingzheng Ren,
Hongwei Ma
Publication year - 2020
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/768/6/062058
Subject(s) - flywheel , matlab , flywheel energy storage , bond graph , computer science , graph , energy flow , visualization , representation (politics) , simulation , energy (signal processing) , energy storage , automotive engineering , engineering , artificial intelligence , theoretical computer science , power (physics) , mathematics , statistics , physics , quantum mechanics , combinatorics , politics , law , political science , operating system
Flywheel energy storage system is becoming more and more popular for its high efficiency, no pollution and low cost during the whole life-time. To study its characteristics and control methods, the model of a flywheel system is required to be established firstly. This paper built the graphical model of a flywheel system based on the Causal Ordering Graph (COG) and Energetic Macroscopic Representative (EMR) methods, which enhance the visualization and clarify the inside energy flow of the model. A typical control method of the flywheel is also derived and realized by the graphical methods. Simulation results based on Matlab/Simulink verify the effectiveness of the proposed model and its control method.