State of charge estimation at battery level from multiple cells management
Xavier Pichon, Alexandre Collet, Delphine Riu, Jean-Christophe Crébier
Abstract
Xavier Pichon, Alexandre Collet, Delphine Riu, Jean-Christophe Crébier
Abstract
Accurate State Of Charge estimations are one of the critical functionalities of Battery Management Systems, whether it is for single-cell batteries or multiple-cells batteries. However, battery-SOCs are usually generalized without any consideration about cell disparities. In this presentation, we propose to define a more relevant battery-SOC by analyzing the already existing studies about SOC estimation for single cell (cell-SOC) and by developing a battery-SOC which takes cell disparities into account. A focus is also done to explore how to link uncertainties of cells estimations and accuracy of the final battery-SOC in order to give reliable information to the user about the charge amount stored in the battery. The algorithm is then implemented for numeric analysis and comparisons.
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Accurate State Of Charge estimations are one of the critical functionalities of Battery Management Systems, whether it is for single-cell batteries or multiple-cells batteries. However, battery-SOCs are usually generalized without any consideration about cell disparities. In this presentation, we propose to define a more relevant battery-SOC by analyzing the already existing studies about SOC estimation for single cell (cell-SOC) and by developing a battery-SOC which takes cell disparities into account. A focus is also done to explore how to link uncertainties of cells estimations and accuracy of the final battery-SOC in order to give reliable information to the user about the charge amount stored in the battery. The algorithm is then implemented for numeric analysis and comparisons.
Key concepts: Battery (electricity), State of charge, Computer science, System on a chip, Estimation, State (computer science), Primary cell, Reliability engineering