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We have previously proposed a novel parameter identification method for the Li-ion battery equivalent circuit model (ECM) considering the electrochemical properties, with which a second order ECM resistances/capacitances values can be obtained from electrochemical parameters. In this paper, we apply this physics-based ECM with Kalman filter for cell SOC estimation. To implement the Kalman filter to...
Ultracapacitors (UCs) are the significant component of the energy storage systems (ESS) in the electric traction applications. In the field of electric transportation the UCs need to be modeled dynamically in order to capture real-time characteristics. The model should provide precise estimation of UC responses to various charge/discharge conditions and also predict the behavior of UCs under varied...
Accurate knowledge of the battery state-of-charge (SOC) and state-of-health (SOH) is critical for optimal and safe utilisation of the battery. Although the battery system dynamics contain electrochemical, thermal, electrical, and ageing phenomena, most state estimators resort to equivalent circuit models (ECM). These models are often not accurate and are problematic for SOC estimation during an extended...
Accurate estimation of SOC is the crucial factor to ensure safe operation of a battery. Current estimation methods are derived based on electric equivalent circuit models that do not take into account dependences of SOC on lithium concentrations, temperature, and other electrochemical phenomena. A new model for a Li-polymer battery was developed based on a 1D electrochemical microcell model. This...
The real time monitoring and control of resistance spot welds is a problem of critical importance in automotive and many other manufacturing industries. However, till this date, there are no reliable, low-cost, non-destructive techniques for predicting the size and strength of the weld nuggets in real time. This paper investigates the usage of voltage, current, and force data for the above tasks....
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