The Experts below are selected from a list of 296205 Experts worldwide ranked by ideXlab platform
Vassilios G Agelidis - One of the best experts on this subject based on the ideXlab platform.
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multi agent sliding mode control for State of Charge balancing between battery energy storage systems distributed in a dc microgrid
IEEE Transactions on Smart Grid, 2018Co-Authors: Thomas Morstyn, Andrey V Savkin, Branislav Hredzak, Vassilios G AgelidisAbstract:This paper proposes the novel use of multi-agent sliding mode control for State of Charge balancing between distributed dc microgrid battery energy storage systems. Unlike existing control strategies based on linear multi-agent consensus protocols, the proposed nonlinear State of Charge balancing strategy: 1) ensures the battery energy storage systems are either all charging or all discharging, thus eliminating circulating currents, increasing efficiency, and reducing battery lifetime degradation; 2) achieves faster State of Charge balancing; 3) avoids overloading the battery energy storage systems during periods of high load; and 4) provides plug and play capability. The proposed control strategy can be readily integrated with existing multi-agent controllers for secondary voltage regulation and accurate current sharing. The performance of the proposed control strategy was verified with an RTDS Technologies real-time digital simulator, using switching converter models and nonlinear lead-acid battery models.
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distributed control for State of Charge balancing between the modules of a reconfigurable battery energy storage system
IEEE Transactions on Power Electronics, 2016Co-Authors: Thomas Morstyn, Branislav Hredzak, Milad Momayyezan, Vassilios G AgelidisAbstract:This paper presents a distributed control strategy for State-of-Charge balancing between the battery modules of a reconfigurable battery energy storage system. The autonomous modules share State-of-Charge information with their neighbors over a sparse communication network and cooperate to reach a balanced State of Charge. The proposed control strategy provides advantages in terms of reduced communication requirements and increased modularity, over a centralized battery management system. Steady-State analysis provides bounds on the mean error and mean-squared error of the distributed average State-of-Charge estimates used for autonomous balancing control. The proposed control strategy enforces module topology constraints specific to the particular reconfigurable battery implementation. The State-of-Charge balancing mode current controller prevents current spikes during module topology transitions. Experimental results demonstrate the performance of the proposed control strategy for a reconfigurable energy storage system made up of four 6-V, 7-Ah lead-acid battery modules.
Thomas Morstyn - One of the best experts on this subject based on the ideXlab platform.
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multi agent sliding mode control for State of Charge balancing between battery energy storage systems distributed in a dc microgrid
IEEE Transactions on Smart Grid, 2018Co-Authors: Thomas Morstyn, Andrey V Savkin, Branislav Hredzak, Vassilios G AgelidisAbstract:This paper proposes the novel use of multi-agent sliding mode control for State of Charge balancing between distributed dc microgrid battery energy storage systems. Unlike existing control strategies based on linear multi-agent consensus protocols, the proposed nonlinear State of Charge balancing strategy: 1) ensures the battery energy storage systems are either all charging or all discharging, thus eliminating circulating currents, increasing efficiency, and reducing battery lifetime degradation; 2) achieves faster State of Charge balancing; 3) avoids overloading the battery energy storage systems during periods of high load; and 4) provides plug and play capability. The proposed control strategy can be readily integrated with existing multi-agent controllers for secondary voltage regulation and accurate current sharing. The performance of the proposed control strategy was verified with an RTDS Technologies real-time digital simulator, using switching converter models and nonlinear lead-acid battery models.
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distributed control for State of Charge balancing between the modules of a reconfigurable battery energy storage system
IEEE Transactions on Power Electronics, 2016Co-Authors: Thomas Morstyn, Branislav Hredzak, Milad Momayyezan, Vassilios G AgelidisAbstract:This paper presents a distributed control strategy for State-of-Charge balancing between the battery modules of a reconfigurable battery energy storage system. The autonomous modules share State-of-Charge information with their neighbors over a sparse communication network and cooperate to reach a balanced State of Charge. The proposed control strategy provides advantages in terms of reduced communication requirements and increased modularity, over a centralized battery management system. Steady-State analysis provides bounds on the mean error and mean-squared error of the distributed average State-of-Charge estimates used for autonomous balancing control. The proposed control strategy enforces module topology constraints specific to the particular reconfigurable battery implementation. The State-of-Charge balancing mode current controller prevents current spikes during module topology transitions. Experimental results demonstrate the performance of the proposed control strategy for a reconfigurable energy storage system made up of four 6-V, 7-Ah lead-acid battery modules.
Il Song Kim - One of the best experts on this subject based on the ideXlab platform.
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Nonlinear State of Charge estimator for hybrid electric vehicle battery
IEEE Transactions on Power Electronics, 2008Co-Authors: Il Song KimAbstract:A new method for battery State of Charge estimation using a sliding mode observer has been developed. A nonlinear battery dynamic modeling technique is established and design methodology with the sliding mode observer is presented. Contrary to the conventional methods using complicated battery modeling, a simple resistor-capacitor battery model was used in this work. The modeling errors caused by the simple model are compensated by the sliding mode observer. The structure of the sliding mode observer is simple, but it shows robust control property against modeling errors and uncertainties. The convergence of the proposed observer has been proved by the equivalent control method. The performance of the system has been verified by the sequence of urban dynamometer driving schedule test. The test results of the proposed observer system shows robust tracking performance under real driving environments.
M Kazacos - One of the best experts on this subject based on the ideXlab platform.
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State of Charge monitoring methods for vanadium redox flow battery control
Journal of Power Sources, 2011Co-Authors: Maria Skyllaskazacos, M KazacosAbstract:Abstract During operation of redox flow batteries, differential transfer of ions and electrolyte across the membrane and gassing side reactions during charging, can lead to an imbalance between the two half-cells that results in loss of capacity. This capacity loss can be corrected by either simple remixing of the two solutions, or by chemical or electrochemical rebalancing. In order to develop automated electrolyte management systems therefore, the State-of-Charge of each half-cell electrolyte needs to be known. In this study, two State-of-Charge monitoring methods are investigated for use in the vanadium redox flow battery. The first method utilizes conductivity measurements to independently measure the State-of-Charge of each half-cell electrolyte. The second method is based on spectrophotometric principles and uses the different colours of the Charged and disCharged anolyte and catholyte to monitor system balance and State-of Charge of each half-cell of the VRB during operation.
Wei Xie - One of the best experts on this subject based on the ideXlab platform.
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Open circuit voltage and State of Charge relationship functional optimization for the working State monitoring of the aerial lithium-ion battery pack.
Journal of Cleaner Production, 2018Co-Authors: Shun-li Wang, Chuan-yun Zou, Shi-jie Pei, Chun-mei Yu, Carlos Fernandez, Xiao Xia Li, Wei XieAbstract:Abstract The aerial lithium-ion battery pack works differently from the usual battery packs, the working characteristic of which is intermittent supplement Charge and instantaneous large current disCharge. An adaptive State of Charge estimation method combined with the output voltage tracking strategy is proposed by using the reduced particle - unscented Kalman filter, which is based on the reaction mechanism and experimental characteristic analysis. The improved splice equivalent circuit model is constructed together with its State-space description, in which the operating characteristics can be obtained. The relationship function between the open circuit voltage and the State of Charge is analyzed and especially optimized. The feasibility and accuracy characteristics are tested by using the aerial lithium-ion battery pack experimental samples with seven series-connected battery cells. Experimental results show that the State of Charge estimation error is less than 2.00%. The proposed method achieves the State of Charge estimation accurately for the aerial lithium-ion battery pack, which provides a core avenue for its high-power supply security.