Abstract
Energy is a valuable asset on the planet. It can be divided into two types. One is renewable energy and the other one is non-renewable energy. Although renewable energy is inexhaustible, the efficiency of conversion is bad that it can't afford human use. Non-renewable energy such as oil, natural gas, coal and other fossil fuels is our main way to generate electricity. These fossil fuels are be generated by natural processes after millions of years, and they can't be renew. If we can't make the most of it, the day of energy depletion will come early. Nowadays, we begin to notice the issue of energy management. Then, how to efficiently manage and plan large-scale battery systems has become more popular recently. This paper is the extension of [22]. There are several issues in a large-scale battery systems, such as reliability, efficiency, sustainability, flexibility and complexity, that have been addressed in [22]. The battery switching network that they design and analysis hopes to solve these problems. We utilize theorem and corollary which is proved in [22] to simulate a battery switching network with Matlab/Simulink. When a request (we use a resistance to represent a load in this simulation) comes, the battery switching network will control switches to turn on or turn off at the proper time according to alternating C-transform (in algorithm 1) and Largest Remaining Capacity First (LRCF) mechanism. Finally, we can know which battery packs provide the required voltages of load by the figure of State of Charge.