The Experts below are selected from a list of 120360 Experts worldwide ranked by ideXlab platform
Igor Papič - One of the best experts on this subject based on the ideXlab platform.
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simulation model for discharging a lead acid battery energy storage system for load leveling
IEEE Transactions on Energy Conversion, 2006Co-Authors: Igor PapičAbstract:A battery energy storage system (BESS) stores energy at lower demand and sends saved energy back to the system during peak load. It thus represents a good solution for daily load leveling. The evaluation of the Ampere-hour capacity of the battery needed for load leveling during a period of several hours is of great importance when using BESS as an active power peaking station. A battery simulation model that was developed for this purpose is presented in the paper. The model takes into account the battery Voltage dependency on the capacity and current, and is based on the performed battery measurements at constant discharging currents. By using this model, which should prove to be a very effective tool for BESS capacity planning, the simulation of the characteristic load leveling was performed and compared to the Measured Voltage and current profiles.
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Simulation model for discharging a lead-acid battery energy storage system for load leveling
IEEE Transactions on Energy Conversion, 2006Co-Authors: Igor PapičAbstract:Summary form only given. A battery energy storage system - BESS stores energy at lower demand and sends saved energy back to the system during peak load. It thus represents a good solution for daily load leveling. The evaluation of the ampere-hour capacity of the battery needed for load leveling during a period of several hours is of great importance when using BESS as an active power peaking station. A battery simulation model that was developed for this purpose is presented in the paper. The model takes into account the battery Voltage dependency on the capacity and current, and is based on the performed battery measurements at constant discharging currents. By using the mentioned model, which should prove to be a very effective tool for BESS capacity planning, the simulation of the characteristic load leveling was performed and compared to the Measured Voltage and current profiles
Robert D Lorenz - One of the best experts on this subject based on the ideXlab platform.
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improved nonlinear model for electrode Voltage current relationship for more consistent online battery system identification
IEEE Transactions on Industry Applications, 2013Co-Authors: Larry W Juang, Phillip J Kollmeyer, T M Jahns, Robert D LorenzAbstract:An improved nonlinear model for the electrode Voltage-current relationship for online battery system identification is proposed. In contrast to the traditional linear-circuit model, the new approach employs a more accurate model of the battery electrode nonlinear steady-state Voltage drop based on the Butler-Volmer (BV) equation. The new form uses an inverse hyperbolic sine approximation for the BV equation. Kalman-filter-based system identification is proposed for determining the model parameters based on the Measured Voltage and current. Both models have been implemented for lead-acid batteries and exercised using test data from a Corbin Sparrow electric vehicle. A comparison of predictions for the two models demonstrates the improvements that can be achieved using the new nonlinear model. The results include improved battery Voltage predictions that provide the basis for more accurate state-of-function readings.
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improved nonlinear model for electrode Voltage current relationship for more consistent online battery system identification
Energy Conversion Congress and Exposition, 2011Co-Authors: Larry W Juang, Phillip J Kollmeyer, T M Jahns, Robert D LorenzAbstract:An improved nonlinear model for the electrode Voltage-current relationship for online battery system identification is proposed. In contrast with the traditional linear-circuit model, the new approach employs a more accurate model of the battery electrode nonlinear steady-state Voltage drop based on the Butler-Volmer equation. The new form uses an inverse hyperbolic sine approximation for the Butler-Volmer equation. Kalman filter-based system identification is proposed for determining the model parameters based on the Measured Voltage and current. Both models have been implemented for lead-acid batteries and exercised using test data from a Corbin Sparrow electric vehicle. A comparison of predictions for the two models demonstrates the improvements that can be achieved using the new nonlinear model. The results include improved battery Voltage predictions that provide the basis for more accurate state-of-function (SOF) readings.
Larry W Juang - One of the best experts on this subject based on the ideXlab platform.
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improved nonlinear model for electrode Voltage current relationship for more consistent online battery system identification
IEEE Transactions on Industry Applications, 2013Co-Authors: Larry W Juang, Phillip J Kollmeyer, T M Jahns, Robert D LorenzAbstract:An improved nonlinear model for the electrode Voltage-current relationship for online battery system identification is proposed. In contrast to the traditional linear-circuit model, the new approach employs a more accurate model of the battery electrode nonlinear steady-state Voltage drop based on the Butler-Volmer (BV) equation. The new form uses an inverse hyperbolic sine approximation for the BV equation. Kalman-filter-based system identification is proposed for determining the model parameters based on the Measured Voltage and current. Both models have been implemented for lead-acid batteries and exercised using test data from a Corbin Sparrow electric vehicle. A comparison of predictions for the two models demonstrates the improvements that can be achieved using the new nonlinear model. The results include improved battery Voltage predictions that provide the basis for more accurate state-of-function readings.
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improved nonlinear model for electrode Voltage current relationship for more consistent online battery system identification
Energy Conversion Congress and Exposition, 2011Co-Authors: Larry W Juang, Phillip J Kollmeyer, T M Jahns, Robert D LorenzAbstract:An improved nonlinear model for the electrode Voltage-current relationship for online battery system identification is proposed. In contrast with the traditional linear-circuit model, the new approach employs a more accurate model of the battery electrode nonlinear steady-state Voltage drop based on the Butler-Volmer equation. The new form uses an inverse hyperbolic sine approximation for the Butler-Volmer equation. Kalman filter-based system identification is proposed for determining the model parameters based on the Measured Voltage and current. Both models have been implemented for lead-acid batteries and exercised using test data from a Corbin Sparrow electric vehicle. A comparison of predictions for the two models demonstrates the improvements that can be achieved using the new nonlinear model. The results include improved battery Voltage predictions that provide the basis for more accurate state-of-function (SOF) readings.
Ebrahim Vaahedi - One of the best experts on this subject based on the ideXlab platform.
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a network decoupling transform for phasor data based Voltage stability analysis and monitoring
Power and Energy Society General Meeting, 2012Co-Authors: Wilsun Xu, Iraj Rahimi Pordanjani, Yunfei Wang, Ebrahim VaahediAbstract:Summary form only given. It is well known that a power network can be represented as a multinode, multibranch Thevenin circuit connecting loads to generators. This paper shows that eigen-decomposition can be performed on the Thevenin impedance matrix, creating a set of decoupled single-node, single-branch equivalent circuits. The decoupled circuits can reveal important characteristics of a power system. By applying the transform to calculated or Measured Voltage phasor data, a technique for tracking the modes of Voltage collapse and for identifying areas vulnerable to Voltage collapse has been developed. Case studies conducted on multiple power systems have confirmed the effectiveness of the proposed method. In addition to Voltage stability applications, the proposed transform presents a new approach for processing and interpreting multilocation phasor data.
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a network decoupling transform for phasor data based Voltage stability analysis and monitoring
IEEE Transactions on Smart Grid, 2012Co-Authors: Wilsun Xu, Iraj Rahimi Pordanjani, Yunfei Wang, Ebrahim VaahediAbstract:It is well known that a power network can be represented as a multinode, multibranch Thevenin circuit connecting loads to generators. This paper shows that eigen-decomposition can be performed on the Thevenin impedance matrix, creating a set of decoupled single-node, single-branch equivalent circuits. The decoupled circuits can reveal important characteristics of a power system. By applying the transform to calculated or Measured Voltage phasor data, a technique for tracking the modes of Voltage collapse and for identifying areas vulnerable to Voltage collapse has been developed. Case studies conducted on multiple power systems have confirmed the effectiveness of the proposed method. In addition to Voltage stability applications, the proposed transform presents a new approach for processing and interpreting multilocation phasor data.
T M Jahns - One of the best experts on this subject based on the ideXlab platform.
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improved nonlinear model for electrode Voltage current relationship for more consistent online battery system identification
IEEE Transactions on Industry Applications, 2013Co-Authors: Larry W Juang, Phillip J Kollmeyer, T M Jahns, Robert D LorenzAbstract:An improved nonlinear model for the electrode Voltage-current relationship for online battery system identification is proposed. In contrast to the traditional linear-circuit model, the new approach employs a more accurate model of the battery electrode nonlinear steady-state Voltage drop based on the Butler-Volmer (BV) equation. The new form uses an inverse hyperbolic sine approximation for the BV equation. Kalman-filter-based system identification is proposed for determining the model parameters based on the Measured Voltage and current. Both models have been implemented for lead-acid batteries and exercised using test data from a Corbin Sparrow electric vehicle. A comparison of predictions for the two models demonstrates the improvements that can be achieved using the new nonlinear model. The results include improved battery Voltage predictions that provide the basis for more accurate state-of-function readings.
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improved nonlinear model for electrode Voltage current relationship for more consistent online battery system identification
Energy Conversion Congress and Exposition, 2011Co-Authors: Larry W Juang, Phillip J Kollmeyer, T M Jahns, Robert D LorenzAbstract:An improved nonlinear model for the electrode Voltage-current relationship for online battery system identification is proposed. In contrast with the traditional linear-circuit model, the new approach employs a more accurate model of the battery electrode nonlinear steady-state Voltage drop based on the Butler-Volmer equation. The new form uses an inverse hyperbolic sine approximation for the Butler-Volmer equation. Kalman filter-based system identification is proposed for determining the model parameters based on the Measured Voltage and current. Both models have been implemented for lead-acid batteries and exercised using test data from a Corbin Sparrow electric vehicle. A comparison of predictions for the two models demonstrates the improvements that can be achieved using the new nonlinear model. The results include improved battery Voltage predictions that provide the basis for more accurate state-of-function (SOF) readings.
