141. DATA-BASED MODELING OF A LIFEPO4 BATTERY AS AN ENERGY STORAGE SYSTEM

Department: Mechanical & Aerospace Engineering
Research Institute Affiliation: Center for Control Systems and Dynamics (CCSD)
Faculty Advisor(s): Raymond de Callafon

Primary Student
Name: Xin Zhao
Email: xiz028@ucsd.edu
Phone: 858-822-3457
Grad Year: 2015

Abstract
The project aims to develop real-time tools for identifying the dynamic properties of a Li-ion battery as an energy storage system. Getting a better understanding of the dynamics allows a better integration of batteries in a electric energy storage system. Considering charging /discharging signal as input and the transferred energy of the energy storage system as output, a model of the battery can be estimated by using Least Squares Techniques. A Li-ion battery test platform, including circuitry and control program, is built up. The dynamic charging/discharging process is realized by controlling two power MOSFETs. The behavior of the system during the process is obtained by acquiring the measurement of voltage and current signal. Then the feasibility of the method is verified based on the test results.

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