Journal articles: 'Ultracapacitor current control'

1

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.

Full text

Abstract:

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.

APA, Harvard, Vancouver, ISO, and other styles

2

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.

Full text

Abstract:

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.

APA, Harvard, Vancouver, ISO, and other styles

3

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.

Full text

Abstract:

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.

APA, Harvard, Vancouver, ISO, and other styles

4

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.

Full text

Abstract:

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.

APA, Harvard, Vancouver, ISO, and other styles

5

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.

Full text

APA, Harvard, Vancouver, ISO, and other styles

6

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.

Full text

APA, Harvard, Vancouver, ISO, and other styles

7

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.

Full text

Abstract:

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.

APA, Harvard, Vancouver, ISO, and other styles

8

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.

Full text

Abstract:

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.

APA, Harvard, Vancouver, ISO, and other styles

9

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.

Full text

APA, Harvard, Vancouver, ISO, and other styles

10

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.

Full text

Abstract:

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.

APA, Harvard, Vancouver, ISO, and other styles

11

Bejaoui, Fatah, Chokri Mechmeche, Ali Sghaier Tlili, and Hamed Yahoui. "Design and implementation of a hybrid control for the energy management system in electric traction." Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering 234, no. 10 (July 10, 2020): 1075–87. http://dx.doi.org/10.1177/0959651820932677.

Full text

Abstract:

This article intends designing and implementing a hysteresis current controller for the energy management system within an electric traction to maintain the output voltage in a certain interval whatever the disturbances to the system. The energy management system within an electric traction encompasses a battery functioning as a fuel cell within the primary energy source, an ultracapacitor considered as an auxiliary source and two direct current to direct current converters renowned as boost and buck/boost converters, whose modeling is constantly contemplated as a very difficult task. As a matter of fact, these converters are designed as switching circuits with a prevalent change of structures, which makes them strongly nonlinear. Thereby, they can be assumed as hybrid dynamical systems whose continuous parts are especially characterized by electrical magnitudes, namely, the currents and voltages in the converters, and whose discrete part is illustrated by the high-frequency switching metal–oxide–semiconductor field-effect transistor which demands faster control mechanisms to ensure proper regulation of the output voltage of two direct current to direct current converters. The validity and effectiveness strategy control of the energy management system are highlighted by numerical simulation as well as by experimental implementation on the DSPACE1104 R&D Controller Board.

APA, Harvard, Vancouver, ISO, and other styles

12

Chiang, Yi-Hsien, Wu-Yang Sean, and Se-Min Jeong. "Current control of energy management system by applying ultracapacitor with boost converter interface for reused lithium-ion battery." Journal of Cleaner Production 220 (May 2019): 945–52. http://dx.doi.org/10.1016/j.jclepro.2019.02.107.

Full text

APA, Harvard, Vancouver, ISO, and other styles

13

Ye, Kanglong, and Peiqing Li. "A new adaptive PSO-PID control strategy of hybrid energy storage system for electric vehicles." Advances in Mechanical Engineering 12, no. 9 (September 2020): 168781402095857. http://dx.doi.org/10.1177/1687814020958574.

Full text

Abstract:

Research on optimization of control strategy for hybrid energy storage system (HESS) of the electric vehicle (EV), a new adaptive control strategy based on particle swarm optimization (PSO) algorithm is proposed in this paper. The steady-state power of the filtered power is used as the ideal output power of the battery. For the steady-state current output of the battery, the output power of the ultracapacitor is dynamically adjusted by the proportional-integral-derivative (PID) controller to construct a power difference control structure. The parameters of PID controller are optimized by PSO algorithm, and the target test is compared and analyzed based on MATLAB/Advisor. The research results show that the proposed PSO-PID control strategy can quickly eliminate the power deviation and achieve the approximate global optimization of the EV energy management strategy. Compared with the pre-optimized PID control strategy, the output current and power of the battery pack are smoother and the total power consumption is reduced by 3.8360% and 0.5125%, respectively. Then, the energy consumption parameters of PSO-PID are compared with the theoretical minimum energy consumption calculated by dynamic programming (DP) algorithm, and the deviation is less than 1% under both conditions.

APA, Harvard, Vancouver, ISO, and other styles

14

Pavković, Danijel, Mihael Lobrović, Mario Hrgetić, and Ante Komljenović. "A design of cascade control system and adaptive load compensator for battery/ultracapacitor hybrid energy storage-based direct current microgrid." Energy Conversion and Management 114 (April 2016): 154–67. http://dx.doi.org/10.1016/j.enconman.2016.02.005.

Full text

APA, Harvard, Vancouver, ISO, and other styles

15

Ye, Kanglong, Peiqing Li, and Hao Li. "Optimization of Hybrid Energy Storage System Control Strategy for Pure Electric Vehicle Based on Typical Driving Cycle." Mathematical Problems in Engineering 2020 (June 29, 2020): 1–12. http://dx.doi.org/10.1155/2020/1365195.

Full text

Abstract:

Taking a hybrid energy storage system (HESS) composed of a battery and an ultracapacitor as the study object, this paper studies the energy management strategy (EMS) and optimization method of the hybrid energy storage system in the energy management and control strategy of a pure electric vehicle (EV) for typical driving cycles. The structure and component model of the HESS are constructed. According to the fuzzy control strategy, aimed at the roughness of the membership function in EMS, optimization strategies based on a genetic algorithm (GA) and particle swarm optimization (PSO) are proposed; these use energy consumption as their optimal objective function. Based on the improved EV model, the fuzzy control strategy is studied in MATLAB/Advisor, and two control strategies are obtained. Compared with the simulation results based on three driving cycles, urban dynamometer driving schedule (UDDS), new European driving cycle (NEDC), and ChinaCity, the optimum control strategy were obtained. The theoretical minimum energy consumption of HESS was reached by dynamic programming (DP) algorithm in the same simulation environment. The research shows that, compared with the PSO, the output current peak and current fluctuation of the battery optimized by the GA are lower and more stable, and the total energy consumption is reduced by 3–9% in various simulation case studies. Compared with the theoretical minimum value, the deviation of energy consumption simulated by GA-Fuzzy Control is 0.6%.

APA, Harvard, Vancouver, ISO, and other styles

16

Yuan, Wen-Poo, Se-Min Jeong, Wu-Yang Sean, and Yi-Hsien Chiang. "Development of Enhancing Battery Management for Reusing Automotive Lithium-Ion Battery." Energies 13, no. 13 (June 28, 2020): 3306. http://dx.doi.org/10.3390/en13133306.

Full text

Abstract:

In this study, a battery management system (BMS) is developed for reused lithium-ion battery (RLIB). Additional enhancing functions of battery management are established, i.e., estimation of life-sensitized parameters and life extension. Life-sensitizing parameters mainly include open-circuit voltage (OCV) and internal resistances (IRs). They are sensitized parameters individually relative to state of charge (SOC) and state of health (SOH). For estimating these two parameters, an adaptive control scheme is implemented in BMS. This online adaptive control approach has been extensively applied to nonlinear systems with uncertainties. In two experiments, OCV and IRs of reused battery packs are accurately extracted from working voltage and discharge current. An offline numerical model using a schematic method is applied to verify the applicability and efficiency of this proposed online scheme. Furthermore, a solution of actively extending life by using an ultracapacitor to share peak power of RLIB through adjusting duty ratio is also proposed. It is shown that this enhancing battery management for RLIB can properly estimate OCV and IRs, and actively extend the life of the RLIB in two experiments.

APA, Harvard, Vancouver, ISO, and other styles

17

Peng, Xin Hong, Xi Zhang Chu, Peng Fei Huang, and Ke Shan. "Improved Power Performance of Activated Carbon Anode by Fe₂O₃ Addition in Microbial Fuel Cells." Applied Mechanics and Materials 700 (December 2014): 170–74. http://dx.doi.org/10.4028/www.scientific.net/amm.700.170.

Full text

Abstract:

Poor energy output and high cost are the key factors to inhibit the development and application of microbial fuel cells (MFCs). Different types of modification techniques for anode material are suggested to improve power performance in MFCs. nanoFe2O3 is characteristics of no toxicity, biocompatibility and low cost. In this work, stainless steel mesh (SSM), ultracapacitor activated carbon with SSM (AcM), Fe2O3 added AcM (AMF) anodes are investigated to improve MFCs performance. The highest maximum power density (806 ± 26 mW·m-2) is obtained in AMF anode, which is 11 % higher than that of AcM (730 ± 27 mW·m-2), and 57 folds higher than that of SSM anode (12 ± 0.7 mW·m-2). The semi-conducting properties of passive film on the anode surface play a rather important role in anodic reaction by Mott-Schottky analysis. Tafel test demonstrates that the exchange current density (8.36×10-4 A·m-2) is improved by 20 % for AMF compared with AcM control (6.93×10-4 A·m-2). These results show AcM is suitable as MFCs anode, and further addition of Fe2O3 can increase the extracellular electron transfer in that way increase power production in MFCs.

APA, Harvard, Vancouver, ISO, and other styles

18

Zhang, Xiaoyong, Jiaxuan Lei, Heng Li, Hongtao Liao, and Jun Peng. "Cooperative Control for Multi-Module Charging Systems of Ultracapacitors." Energies 13, no. 19 (October 7, 2020): 5218. http://dx.doi.org/10.3390/en13195218.

Full text

Abstract:

Ultracapacitors have recently received great attention for energy storage due to their small pollution, high power density, and long lifetime. In many applications, ultracapacitors need to be charged with a high current, where a multi-module charging system is typically adopted. Although the classical decentralized control method can control the charging process of ultracapacitors, there exists a problem that the charging current may be imbalanced among charging modules. In this paper, a cooperative cascade charging method is proposed for the multi-module charging system to reduce the current imbalance among charging modules. First, the state-space averaging method and graph theory are used to model the multiple-module charging system. Second, an effective cooperative cascade control is proposed, where the outer voltage loop stabilizes the output voltage to the desired voltage and the inner current loop guarantees the current of each charger to follow the target current. The block diagram is used to establish the closed-loop model of the charging system. In order to evaluate the proposed charging method, a laboratory prototype was established. Compared with the classical decentralized method, this method can effectively suppress the current imbalance, which is proved by simulation and experimental results.

APA, Harvard, Vancouver, ISO, and other styles

19

Zhou, Rong, Zhiwu Huang, Heng Li, Jun Peng, and Yu Song. "An MPC Control System for Onboard Ultracapacitors with Maximum Current Constraint." Journal of Advanced Computational Intelligence and Intelligent Informatics 21, no. 2 (March 15, 2017): 266–70. http://dx.doi.org/10.20965/jaciii.2017.p0266.

Full text

Abstract:

This study proposes model predictive control (MPC) for onboard ultracapacitors for light rail vehicles using a maximum current constraint. In this study, a Kalman filter is used to estimate the system states. Compared to the PID controller, the MPC-based charging control strategy can solve the maximum current limit problem because it converts the charging problem to an optimization one. Simulation and experiments are carried out to demonstrate the effectiveness of the method.

APA, Harvard, Vancouver, ISO, and other styles

20

Yu, Hai Fang, Zhi Qiang Liu, and Shu Mei Cui. "Nonlinear Proportional Factor Control Strategy of Hybrid Energy Storage System for Hybrid Electric Vehicle." Applied Mechanics and Materials 448-453 (October 2013): 3158–63. http://dx.doi.org/10.4028/www.scientific.net/amm.448-453.3158.

Full text

Abstract:

It has been shown that none of any energy sources which own high specific energy or high specific power, but not both, can solely fulfil all the demands of hybrid electric vehicle (HEV) in some circumstances. In this paper a battery/ultra-capacitor hybrid energy storage system (B/UC HESS) using ultracapacitors which replace primary sole Ni-MH energy source, without any changes in other parts of HEV was presented. Based on the energy flow of energy storage system and operating status of the vehicle, a nonlinear proportional factor control strategy with a goal of improving battery life was introduced. The simulation results under different urban driving cycles show that the peak charge/discharge currents are smoothed effectively, which benefits the battery lifetime improvement. The results also show that the buffering effect of ultracapacitors has optimized the charging and discharging processes of Ni-MH battery considerably.

APA, Harvard, Vancouver, ISO, and other styles

21

Snoussi, Jamila, Seifeddine Ben Elghali, Mohamed Benbouzid, and Mohamed Mimouni. "Auto-Adaptive Filtering-Based Energy Management Strategy for Fuel Cell Hybrid Electric Vehicles." Energies 11, no. 8 (August 14, 2018): 2118. http://dx.doi.org/10.3390/en11082118.

Full text

Abstract:

The global need to solve pollution problems has conducted automotive engineers to promote the development and the use of electric vehicle technologies. This paper focuses on the fuel cell hybrid electric vehicle which uses a proton exchange membrane fuel cell as a main source associated to hybrid storage device: lithium ion battery and ultracapacitors. A common interest in such technology is to spread out the energy flow between its different sources in order to satisfy the power demand for any requested mission. However, the challenging task stills the optimization of this split to reduce hydrogen consumption and respect, at the same time, the system limitations such as admissible limits of storage system capacities and battery current variation. An adaptive filtering-based energy management strategy is proposed in this paper to ensure an optimum distribution of the energy between the sources taking into account dynamic and energetic constraints of each device. For more performance, a fuzzy logic system is used to adapt the frequency of separation with the system state evolution. A sliding mode control is applied to control electric characteristics (voltage and currents) in the considered hybrid power supply. Simulation results, obtained under MATLAB®/SimPowerSystems® for four driving cycles are presented. The proposed strategy achieved good performances by respecting the ultracapacitors state of charge while preserving the battery lifetime under various driving missions.

APA, Harvard, Vancouver, ISO, and other styles

22

Sorlei, Ioan-Sorin, Nicu Bizon, Phatiphat Thounthong, Mihai Varlam, Elena Carcadea, Mihai Culcer, Mariana Iliescu, and Mircea Raceanu. "Fuel Cell Electric Vehicles—A Brief Review of Current Topologies and Energy Management Strategies." Energies 14, no. 1 (January 5, 2021): 252. http://dx.doi.org/10.3390/en14010252.

Full text

Abstract:

With the development of technologies in recent decades and the imposition of international standards to reduce greenhouse gas emissions, car manufacturers have turned their attention to new technologies related to electric/hybrid vehicles and electric fuel cell vehicles. This paper focuses on electric fuel cell vehicles, which optimally combine the fuel cell system with hybrid energy storage systems, represented by batteries and ultracapacitors, to meet the dynamic power demand required by the electric motor and auxiliary systems. This paper compares the latest proposed topologies for fuel cell electric vehicles and reveals the new technologies and DC/DC converters involved to generate up-to-date information for researchers and developers interested in this specialized field. From a software point of view, the latest energy management strategies are analyzed and compared with the reference strategies, taking into account performance indicators such as energy efficiency, hydrogen consumption and degradation of the subsystems involved, which is the main challenge for car developers. The advantages and disadvantages of three types of strategies (rule-based strategies, optimization-based strategies and learning-based strategies) are discussed. Thus, future software developers can focus on new control algorithms in the area of artificial intelligence developed to meet the challenges posed by new technologies for autonomous vehicles.

APA, Harvard, Vancouver, ISO, and other styles

23

Bandini, Gabriele, Gianluca Caposciutti, Mirko Marracci, Alice Buffi, and Bernardo Tellini. "An experimental analysis of Lithium battery use for high power application." E3S Web of Conferences 238 (2021): 09004. http://dx.doi.org/10.1051/e3sconf/202123809004.

Full text

Abstract:

In the recent years, the sustainable energy demand is growing among the civil and industrial sectors. However, the renewable sources present an aleatory behaviour, and the improvement of their reliable and secure employment have received great interest. In this framework, the energy storage devices can be used to smooth the market demand and to increase the control on the energy fluxes over transmission lines. To this aim, devices such as Li-ion batteries are widely used in several application scenarios, such as the transportation sector. Generally speaking, batteries are often classified as high-energy devices and their use for high-power applications is limited. Indeed, for the latter applications, other devices, such as supercapacitors or ultracapacitors, are usually employed. In the present work, the use of 3Ah 18650 Li-Ion batteries is investigated for high-power applications, and a performance analysis during pulsed discharge with current up to 50C is carried out. These experimental conditions are significantly beyond the manufacturer specifications; therefore, an accurate ageing estimation of the cell is required, and a novel internal resistance control method is proposed to monitor the state of health of the device.

APA, Harvard, Vancouver, ISO, and other styles

24

Ahmad, Javed, Mohammad Zaid, Adil Sarwar, Chang-Hua Lin, Mohammed Asim, Raj Kumar Yadav, Mohd Tariq, Kuntal Satpathi, and Basem Alamri. "A New High-Gain DC-DC Converter with Continuous Input Current for DC Microgrid Applications." Energies 14, no. 9 (May 4, 2021): 2629. http://dx.doi.org/10.3390/en14092629.

Full text

Abstract:

The growth of renewable energy in the last two decades has led to the development of new power electronic converters. The DC microgrid can operate in standalone mode, or it can be grid-connected. A DC microgrid consists of various distributed generation (DG) units like solar PV arrays, fuel cells, ultracapacitors, and microturbines. The DC-DC converter plays an important role in boosting the output voltage in DC microgrids. DC-DC converters are needed to boost the output voltage so that a common voltage from different sources is available at the DC link. A conventional boost converter (CBC) suffers from the problem of limited voltage gain, and the stress across the switch is usually equal to the output voltage. The output from DG sources is low and requires high-gain boost converters to enhance the output voltage. In this paper, a new high-gain DC-DC converter with quadratic voltage gain and reduced voltage stress across switching devices was proposed. The proposed converter was an improvement over the CBC and quadratic boost converter (QBC). The converter utilized only two switched inductors, two capacitors, and two switches to achieve the gain. The converter was compared with other recently developed topologies in terms of stress, the number of passive components, and voltage stress across switching devices. The loss analysis also was done using the Piecewise Linear Electrical Circuit Simulation (PLCES). The experimental and theoretical analyses closely agreed with each other.

APA, Harvard, Vancouver, ISO, and other styles

25

Rajabzadeh, Mahdi, Seyed Mohammad Taghi Bathaee, and M. A. Golkar. "Advanced DC-link voltage regulation of fuel-cell electric vehicle." COMPEL - The international journal for computation and mathematics in electrical and electronic engineering 35, no. 3 (March 17, 2016). http://dx.doi.org/10.1108/compel-04-2015-0166.

Full text

Abstract:

Purpose This paper investigates the DC-Link voltage regulation of fuel cell electric vehicle (FCEV) with hybrid power source (HPS). The HPS consists of fuel cell (FC) as the main source and ultracapacitor (UC) as the auxiliary source in order to compensate for the slow dynamics of FC in transient conditions. The system is a multiconverter structure which is comprised of a boost DC/DC converter and a buck-boost converter connecting FC and UC to DC-link respectively. Design/methodology/approach The FCEV is modeled dynamically, considering the nonlinear behavior of HPS and multiconverter system. This paper presents an advanced control approach based on the control Lyapunov function (CLF) to regulate the DC-link voltage and impeccable tracking of UC current to its references. The stability analysis of closed loop system is also insured. Findings The performance of proposed controller is illustrated via Simulink® using numerical simulations under European Extra Urban Driving Cycle (EUDC). The simulation results show that the presented method is both satisfactory and consistent with expectation. Originality/value The proposed control method is state of the art in FCEV and improves the energy management system.

APA, Harvard, Vancouver, ISO, and other styles

Journal articles on the topic 'Ultracapacitor current control'

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles