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21st Southern California Nonlinear Control Workshop
A Behavioral
Algorithm for State of Charge Estimation
Ayça Balkan, UCLA
Ayça Balkan, UCLA
Advisor:
Paulo Tabuada
Estimating the state of charge (SOC) of electrochemical batteries is an important, yet challenging task. In our work, we propose a new algorithm to estimate the SOC using the behavioral framework proposed by Jan Willems. Our method, which only requires terminal voltage and terminal current data, does not postulate any model of a battery unlike most of the previous work. We compare the performance of our algorithm with existing methods and demonstrate comparable results.
Estimating the state of charge (SOC) of electrochemical batteries is an important, yet challenging task. In our work, we propose a new algorithm to estimate the SOC using the behavioral framework proposed by Jan Willems. Our method, which only requires terminal voltage and terminal current data, does not postulate any model of a battery unlike most of the previous work. We compare the performance of our algorithm with existing methods and demonstrate comparable results.