Academic literature on the topic 'Ultracapacitor current control'

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Journal articles on the topic "Ultracapacitor current control"

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Pavković, Danijel, Mihael Cipek, Zdenko Kljaić, Tomislav Mlinarić, Mario Hrgetić, and Davor Zorc. "Damping Optimum-Based Design of Control Strategy Suitable for Battery/Ultracapacitor Electric Vehicles." Energies 11, no. 10 (October 22, 2018): 2854. http://dx.doi.org/10.3390/en11102854.

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This contribution outlines the design of electric vehicle direct-current (DC) bus control system supplied by a battery/ultracapacitor hybrid energy storage system, and its coordination with the fully electrified vehicle driveline control system. The control strategy features an upper-level DC bus voltage feedback controller and a direct load compensator for stiff tracking of variable (speed-dependent) voltage target. The inner control level, comprising dedicated battery and ultracapacitor current controllers, is commanded by an intermediate-level control scheme which dynamically distributes the upper-level current command between the ultracapacitor and the battery energy storage systems. The feedback control system is designed and analytical expressions for feedback controller parameters are obtained by using the damping optimum criterion. The proposed methodology is verified by means of simulations and experimentally for different realistic operating regimes, including electric vehicle DC bus load step change, hybrid energy storage system charging/discharging, and electric vehicle driveline subject to New European Driving Cycle (NEDC), Urban Driving Dynamometer Schedule (UDDS), New York Certification Cycle (NYCC) and California Unified Cycle (LA92), as well as for abrupt acceleration/deceleration regimes.
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Chen, Qihong, Rong Long, Shuhai Quan, and Liyan Zhang. "Nonlinear Recurrent Neural Network Predictive Control for Energy Distribution of a Fuel Cell Powered Robot." Scientific World Journal 2014 (2014): 1–9. http://dx.doi.org/10.1155/2014/509729.

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This paper presents a neural network predictive control strategy to optimize power distribution for a fuel cell/ultracapacitor hybrid power system of a robot. We model the nonlinear power system by employing time variant auto-regressive moving average with exogenous (ARMAX), and using recurrent neural network to represent the complicated coefficients of the ARMAX model. Because the dynamic of the system is viewed as operating- state- dependent time varying local linear behavior in this frame, a linear constrained model predictive control algorithm is developed to optimize the power splitting between the fuel cell and ultracapacitor. The proposed algorithm significantly simplifies implementation of the controller and can handle multiple constraints, such as limiting substantial fluctuation of fuel cell current. Experiment and simulation results demonstrate that the control strategy can optimally split power between the fuel cell and ultracapacitor, limit the change rate of the fuel cell current, and so as to extend the lifetime of the fuel cell.
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Han, Wei We, Jian Ru Wan, Shao Lun Huang, and Qing You Dai. "Modeling and Simulation of Elevator as Energy Saving System Based on Isolation Bidirectional DC/DC Converter." Advanced Materials Research 1014 (July 2014): 233–40. http://dx.doi.org/10.4028/www.scientific.net/amr.1014.233.

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To solve the problem as influence of feedback elevator energy saving device on power quality and high cost of ultracapacitor storage elevator energy saving device, isolation bidirectional DC/DC converter is used. By analysis and modeling of isolation bidirectional DC/DC converter with small signal analysis method, double loop PI control strategy is introduced. The technical difficulty that high transformation ratio transform of DC bus voltage to ultracapacitor voltage is overcome. Cost of elevator energy saving device is reduced at the same time when storage and reuse of elevator feedback energy are realized. Based on the advantage of high current discharge, high current provided by ultracapacitor reduces impact on power grid when elevator starts. The effectiveness and feasibility of the control method is proved through MATLAB/Simulink simulation.
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Mahadik, Yogesh, and K. Vadirajacharya. "Battery Life Enhancement in a Hybrid Electrical Energy Storage System Using a Multi-Source Inverter." World Electric Vehicle Journal 10, no. 2 (April 12, 2019): 17. http://dx.doi.org/10.3390/wevj10020017.

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This paper introduces a new topology using a multi-source inverter with the intention of reducing the battery current and weight, while enhancing the battery life and increasing the driving range for plug-in electric vehicles, with the combination of a battery and an ultracapacitor (UC) as storage devices. The proposed topology interconnects the UC and battery directly to the three-phase load with a single-stage conversion using an inverter. The battery life is considerably reduced due to excess (peak) current drawn by the load, and these peak load current requirements are met by connecting the ultracapacitor to the battery, controlled through an inverter. Here, the battery is used to cater to the needs of constant profile energy demands, and the UC is used to meet the dynamic peak load profile. This system is highly efficient and cost-effective when compared to a contemporary system with a single power source. Through a comparative analysis, the cost-effectiveness of the proposed energy management system (EMS) is explained in this paper. Energy and power exchange are implemented with an open-loop control strategy using the PSIM simulation environment, and the system is developed with a hardware prototype using different modes of inverter control, which reduces the average battery current to 27% compared to the conventional case. The driving range of electric vehicles is extended using active power exchange between load and the sources. The dynamics of the ultracapacitor gives a quick response, with battery current shared by the ultracapacitor. As a result, the battery current is reduced, thereby enhancing the driving cycle. With the prototype, the results of the proposed topology are validated.
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Samosir, Ahmad Saudi. "DEVELOPMENT OF A CURRENT CONTROL ULTRACAPACITOR CHARGER BASED ON DIGITAL SIGNAL PROCESSING." TELKOMNIKA (Telecommunication Computing Electronics and Control) 7, no. 3 (December 1, 2009): 145. http://dx.doi.org/10.12928/telkomnika.v7i3.587.

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Greenwell, Wes, and Ardalan Vahidi. "Predictive Control of Voltage and Current in a Fuel Cell–Ultracapacitor Hybrid." IEEE Transactions on Industrial Electronics 57, no. 6 (June 2010): 1954–63. http://dx.doi.org/10.1109/tie.2009.2031663.

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van Jaarsveld, Maarten J., and Rupert Gouws. "An Active Hybrid Energy Storage System Utilising a Fuzzy Logic Rule-Based Control Strategy." World Electric Vehicle Journal 11, no. 2 (April 10, 2020): 34. http://dx.doi.org/10.3390/wevj11020034.

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The research presented in this paper documents the implementation of an active hybrid energy storage system that combined a battery pack and an ultracapacitor bank. The implemented hybrid energy storage system was used to reduce the peak-power that the battery needs to provide to the load. An active topology utilising two direct current/direct current (DC/DC) converters and a switch was used to implement the hybrid energy storage system. Fuzzy logic was used as a close-loop control structure to control the DC/DC converters in the topology, whilst a rule-based control strategy was used to control the operating states of the hybrid energy storage system. Experimental implementation of the system showed that the system was able to actively control the energy flow throughout the hybrid energy storage system in order to limit the power drawn from the battery to a user-defined limit. The performance of the fuzzy logic controllers was also experimentally found to be sufficient when used in conjunction with the rule-based control strategy. The system allows one to utilize batteries that are optimized for energy density seeing that the system was able to actively limit the power drawn from the battery, whilst providing the required power to the load by utilising the ultracapacitor bank.
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Erawan, Minhat Ade, Khamis Nor Hisham, Azli Yahya, Andromeda Trias, Juli Purwanto Nugroho Kartiko, Safura Hashim Nor Liyana, Mahmud Nazriah, and M. Daud Razak. "Control Strategy for Electrical Discharge Machining (EDM) Pulse Power Generator." Applied Mechanics and Materials 554 (June 2014): 643–47. http://dx.doi.org/10.4028/www.scientific.net/amm.554.643.

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Electrical Discharge Machining (EDM) is a advanced machine that can control electrical spark to erode metal on the workpiece. In manufacturing, EDM is used on hard material parts that are extremely difficult to machine by conventional machining processes. EDM system consists of a shaped tool and the work piece, which are connected to a power supply and placed in a dielectric fluid. EDM pulse power generator applies voltage and current pulses between the electrode and workpiece to generate sparks through the gap. To obtain the optimum metarial removal rate (MRR), a good alternative is to improve the gap voltage and gap current. A proposed solution to these issue is combining ultracapacitor bank to the main power supply circuit for EDM machines. The control feedback of this research is designed to make sure that the current on DC bus is maintained at current setting during the machining processes.
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Ahmadi, Behzad, Farhad Barati, and Charif Karimi. "A Variable Current-Limit Control Scheme for a Bi-directional Converter used in Ultracapacitor Applications." Electric Power Components and Systems 46, no. 3 (February 7, 2018): 278–89. http://dx.doi.org/10.1080/15325008.2018.1445139.

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Shtessel, Yuri B., Malek Ghanes, and Roshini S. Ashok. "Hydrogen Fuel Cell and Ultracapacitor Based Electric Power System Sliding Mode Control: Electric Vehicle Application." Energies 13, no. 11 (June 1, 2020): 2798. http://dx.doi.org/10.3390/en13112798.

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Control of a perturbed electric power system comprised of a hydrogen fuel cell (HFC), boost and boost/buck DC–DC power converters, and the ultra-capacitor (UC) is considered within an electric vehicle application. A relative degree approach was applied to control the servomotor speed, which is the main controllable load of the electric car. This control is achieved in the presence of the torque disturbances via directly controlling the armature voltage. The direct voltage control was accomplished by controlling the HFC voltage and the UC current in the presence of the model uncertainties. Controlling the HFC and UC current based on the power balance approach eliminated the non-minimum phase property of the DC–DC boost converter. Conventional first order sliding mode controllers (1-SMC) were employed to control the output voltage of the DC–DC boost power converter and the load current of the UC. The current in HFC and the servomotor speed were controlled by the adaptive-gain second order SMC (2-ASMC). The efficiency and robustness of the HFC/UC-based electric power systems controlled by 1-SMC and 2-ASMC were confirmed on a case study of electric car speed control via computer simulations.
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Dissertations / Theses on the topic "Ultracapacitor current control"

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Eroglu, Hasan Huseyin. "Design And Implementation Of An Ultracapacitor Test System." Master's thesis, METU, 2010. http://etd.lib.metu.edu.tr/upload/12612235/index.pdf.

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In this thesis, a test system is designed and implemented in order to evaluate the basic electrical performance and determine the parameters of ultracapacitors (UC). The implemented UC test system is based on power electronics converters and it is capable of charging and discharging the UC under test with predetermined current profiles. The charging operation is provided by a configuration involving the AC utility grid, a step-down transformer, a diode bridge, and a DC bus filter capacitor followed by a step-down DC-DC converter. The energy stored in the UC under test, as a result of the charging operation, is discharged to a resistor bank through a step-up DC-DC converter and a DC chopper structure. The charging and discharging current applied to the UC under test is provided by means of current mode control of power electronics converters. The control mechanism of the power electronics converters and the transition operations between the charging and discharging phases of the test system is realized via a microcontroller supported hardware structure. In the scope of the thesis study, a UC module composed of five serially connected UC cells is constructed. Constant current and constant power tests are applied to the constructed UC module. The performance of the implemented UC test system is investigated by means of computer simulations and experimental results. Further, basic electrical behaviour of the constructed UC module is evaluated and the parameters are extracted experimentally.
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Kalina, Emil. "Aplikace ultrakapacitorů v dopravních systémech." Doctoral thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2008. http://www.nusl.cz/ntk/nusl-233433.

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The work deals with relatively new components allowing electric energy accumulation – ultracapacitors. It focuses on their application in traffic systems – in independent electric vehicles. Design and verification of a system with ultracapacitor and DC/DC adaptive converter was done. Control of the adaptive converter modifies very positively the time wafeform of the traction accumulator current during the drive cycle. The designed connection of ultracapacitor and DC/DC converter implemented in the drive structure of experimental electric vehicle with induction machine contributes to increment the action radius of the vehicle by 16% (determined by experimental verification). This result was achived particularly by limitation of traction accumulator current peaks, And by more effective storage of energy gained by recuperative braking of the vehicle as well. The core of the system is a control of the adaptive converter in order to provide an active filtration of the accumulator’s current to its long-period mean value, i.e. elimination of current (power) peaks. These are caused by acceleration from non-zero initial vehicle speed or by recuperative braking. This is done by a subsidiary current loop. The converter has a superior voltage regulation loop, which sets in long-time period the voltage of ultracapacitors to the proper value – indirectly dependent on the speed of the vehicle. This ensures the appropriate energy management of the ultracapacitor. In the following, properties of test set of ultracapacitors were verified. Finally, methods of suppression of capacity variability influence in series connection of these components were compiled and critically reviewed.
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Conference papers on the topic "Ultracapacitor current control"

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Hredzak, Branislav, and Vassilios G. Agelidis. "Direct current control of a battery-ultracapacitor power supply." In IECON 2012 - 38th Annual Conference of IEEE Industrial Electronics. IEEE, 2012. http://dx.doi.org/10.1109/iecon.2012.6389246.

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Greenwell, Wesley, and Ardalan Vahidi. "Experiments in Predictive Coordination of a Fuel Cell/Ultracapacitor Hybrid." In ASME 2008 Dynamic Systems and Control Conference. ASMEDC, 2008. http://dx.doi.org/10.1115/dscc2008-2190.

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A rule-based and a model predictive power management strategy are evaluated in experiments for power management of a fuel cell/ultracapacitor hybrid. The two degrees of freedom provided by use of two dc/dc convertors enable independent low-level control of the DC BUS voltage and the current split between the fuel cell and ultracapacitor. The high-level control objectives are to respond to rapid variations in load while minimizing damaging fluctuations in fuel cell current and maintaining the ultracapacitor charge (or voltage) within allowable bounds. Experiments show that both strategies can be tuned to meet these control objectives; however the predictive nature of the model predictive scheme coupled with its ability to aggressively push the ultracapacitor to its constraint line results in smoother fuel cell current transients.
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Ghorbanpour, Amin, and Hanz Richter. "Control With Optimal Energy Regeneration in Robot Manipulators Driven by Brushless DC Motors." In ASME 2018 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/dscc2018-8972.

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In this work, simultaneous energy regeneration and motion control for robot manipulators with brushless motors is considered. The robot has a number of semi-active joints connected to ultracapacitors, while the remaining joints are fully-active, powered from constant-voltage power supplies. A three-phase inverter is used to apply voltage to each motor, and the space vector pulse width modulation technique is used to generate voltage commands for the inverter. A PI controller is used to generate voltage commands for the inverter based on reference currents. A method is developed to obtain actual torque based on the desired torque generated by a virtual controller, which can be any suitable robot motion control algorithm, for instance inverse dynamics. A novel optimization approach is used to generate reference currents that maximize the amount of regenerative energy stored in the ultracapacitor and motor inductance subject to the torque demanded by the virtual controller. An explicit solution is found for the optimal current references and it is shown that the well-known choice of a zero direct current component in the direct-quadrature frame is sub-optimal relative to our energy optimization objective. A simulation using a 2-link planar manipulator with one active and one semi-active joint is used to illustrate the results.
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Niemoeller, Benjamin A., and Philip T. Krein. "Battery-ultracapacitor active parallel interface with indirect control of battery current." In 2010 Power and Energy Conference At Illinois (PECI). IEEE, 2010. http://dx.doi.org/10.1109/peci.2010.5437163.

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Joshi, Mahendra Chandra, and Susovon Samanta. "Average current mode control of battery/ultracapacitor hybrid energy system & its microcontroller based implementation." In 2018 IEEMA Engineer Infinite Conference (eTechNxT). IEEE, 2018. http://dx.doi.org/10.1109/etechnxt.2018.8385359.

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Ye, Yanzhu, Ratnesh Sharma, and Di Shi. "Adaptive Control of Hybrid Ultracapacitor-Battery Storage System for PV Output Smoothing." In ASME 2013 Power Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/power2013-98210.

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The integration of hybrid energy storage system (ESS) with PV has been considered an effective solution for PV power smoothing, e.g. the hybrid Ultracapacitor (UC)-Battery storage system. This paper proposes a fuzzy-logic-based adaptive power management system for smoothing PV power output, which manages the power sharing between the UC and Battery system. In this method, the real-time system dynamics are reflected in the adaptive control parameter settings. At the same time this method effectively considers the characteristics and operational constraints of the energy storage devices, e.g. SOC limit, charge/discharge current limit, etc., in order to sustain the system operation. A hybrid PV/UC/Battery power system is modeled by Matlab/Simulink. The simulation studies are performed to demonstrate the effectiveness and advantages of the proposed control method in PV fluctuation suppression, sustainable system operation, energy storage performance.
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Kumar, Rajneesh, and Bin Yao. "Model Based Power-Split and Control for Electric Energy System in a Hybrid Electric Vehicle." In ASME 2006 International Mechanical Engineering Congress and Exposition. ASMEDC, 2006. http://dx.doi.org/10.1115/imece2006-14588.

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In this paper, a configuration of electric energy storage system for Hybrid Electric Vehicles has been proposed that consists of a small battery and ultracapacitor pack coupled to the vehicle bus through dc-dc converters. The entire system, together with necessary power electronics pack, has been modeled and a Model Predictive Controller (MPC) has been designed for the purpose of power management of the linearized system. This controller has been simulated with the nonlinear plant for charging and discharging current profiles and is shown to be working well around the equilibrium point of the plant. Results show the effectiveness of this approach in keeping the battery current small and steady during fast transients and peak load conditions.
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Braslavsky, Isaak, Iurii Plotnikov, and Stanimir Valtchev. "The mathematical modeling of alternating current electric drive with DC-DC converter and ultracapacitors." In 2016 IEEE International Power Electronics and Motion Control Conference (PEMC). IEEE, 2016. http://dx.doi.org/10.1109/epepemc.2016.7752048.

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Valencia, Guillermo E., Gabriel Cubas Glen, John C. Turizo, and Ramiro J. Chamorro. "Mimo Generalized Predictive Control for a Small Wind Turbine–Fuel Cell Hybrid Energy System." In ASME 2009 3rd International Conference on Energy Sustainability collocated with the Heat Transfer and InterPACK09 Conferences. ASMEDC, 2009. http://dx.doi.org/10.1115/es2009-90311.

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This paper presents a comparative performance analysis between the generalized predictive control (GPC) and the traditional proportional integral derivative (PID) under different dynamics cases in hybrid energy systems, which is composed of by a 400 W small wind turbine, a polymer electrolyte membrane (PEM) fuel cells (PEMFC), an electrolyzer, and finally the ultracapacitors and a power converter unit in order to minimize voltage fluctuations in the system and generate AC voltage. In addition, the transient responses of the system to step changes in the load current and wind speed are presented as a result of the manipulation in the flow of reactants to the fuel cell. SIMULINK™ is used for the simulation of this highly nonlinear hybrid energy system.
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Huang, Zhiwu, Hao Li, Jia Hu, Weirong Liu, and Jianfeng Liu. "An on-line fast model predictive control of highpower ultracapacitors charging current for renewable energy urban rail vehicle." In 2014 IEEE Applied Power Electronics Conference and Exposition - APEC 2014. IEEE, 2014. http://dx.doi.org/10.1109/apec.2014.6803522.

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