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Li-ion-Battery State-of-charge diagnosis-prognosis based on Lebesgue-sampling equivalent-circuit-model

Reference #: 01527 The University of South Carolina is offering licensing opportunities for Li-ion-Battery State-of-charge diagnosis-prognosis based on Lebesgue-sampling equivalent-circuit-model. Background: Traditional SOC estimation and prediction is mainly based on the electrochemical model (EM) or ECM of Li-battery. The EM method has a high computation...

Published: 1/26/2023 | Inventor(s): Bin Zhang, Enhui Liu

Keywords(s): accuracy, computation, efficiency, Equivalent circuit model, Lebesgue sampling, open circuit voltage, SOC diagnostics and prognostics

Category(s): Energy

Lebesgue-sampling-based battery whole-service-life SOC estimation using simplified first principle model

Reference #: 01493 The University of South Carolina is offering licensing opportunities for Lebesgue-sampling-based battery whole-service-life SOC estimation using simplified first principle model Background: Traditional state of health and state of charge estimation is mainly based on the electrochemical model or equivalent circuit model of Li-battery....

Published: 7/17/2023 | Inventor(s): Enhui Liu, Bin Zhang

Keywords(s): accuracy, computation, Lebesgue sampling, Simplified first principle model, SOC estimation

Category(s): Engineering and Physical Sciences, Energy