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Journal articles on the topic 'Hybrid management control systems'

Author: Grafiati

Published: 24 June 2021

Last updated: 29 July 2025

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1

Tomlin, C., G. Pappas, J. Lygeros, D. Godbole, S. Sastry, and G. Meyer. "Hybrid Control in Air Traffic Management Systems 1." IFAC Proceedings Volumes 29, no. 1 (1996): 5512–17. http://dx.doi.org/10.1016/s1474-6670(17)58559-6.

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2

Priyadarshini, Aayushi, Shekhar Yadav, and Sandesh Patel. "Energy Management Schemes for Hybrid Electric Vehicles." International Energy Journal 25, no. 1B (2025): 293. https://doi.org/10.64289/iej.25.01b05.9638289.

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An internal combustion engine (ICE) and one or more electric motors are combined in hybrid electric vehicles (HEVs) to improve fuel economy and lower greenhouse gas emissions. This paper explores the various HEVs, such as series hybrids, parallel hybrids, series-parallel hybrids, and plug-in hybrid electric vehicles (PHEVs). Each types are described in terms of its components and operational modes, highlighting the advantages and challenges associated with each type. Key technological components of HEVs, such as the ICE, permanent magnet synchronous motors (PMSM), battery systems, and power el

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3

van der Laan, Erwin, Marc Salomon, Rommert Dekker, and Luk Van Wassenhove. "Inventory Control in Hybrid Systems with Remanufacturing." Management Science 45, no. 5 (1999): 733–47. http://dx.doi.org/10.1287/mnsc.45.5.733.

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4

Zhang, Wei, and Jianghai Hu. "Dynamic buffer management using optimal control of hybrid systems." Automatica 44, no. 7 (2008): 1831–40. http://dx.doi.org/10.1016/j.automatica.2007.10.036.

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5

Bongermino, Elisabetta, Michele Tomaselli, Vito G. Monopoli, Gianluca Rizzello, Francesco Cupertino, and David Naso. "Hybrid Aeronautical Propulsion: Control and Energy Management." IFAC-PapersOnLine 50, no. 2 (2017): 169–74. http://dx.doi.org/10.1016/j.ifacol.2017.12.031.

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Chen, Mo, and Claire J. Tomlin. "Hamilton–Jacobi Reachability: Some Recent Theoretical Advances and Applications in Unmanned Airspace Management." Annual Review of Control, Robotics, and Autonomous Systems 1, no. 1 (2018): 333–58. http://dx.doi.org/10.1146/annurev-control-060117-104941.

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Autonomous systems are becoming pervasive in everyday life, and many of these systems are complex and safety-critical. Formal verification is important for providing performance and safety guarantees for these systems. In particular, Hamilton–Jacobi (HJ) reachability is a formal verification tool for nonlinear and hybrid systems; however, it is computationally intractable for analyzing complex systems, and computational burden is in general a difficult challenge in formal verification. In this review, we begin by briefly presenting background on reachability analysis with an emphasis on the HJ

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Thomas, Walter E., Wesley J. Everman, Jayla Allen, Jim Collins, and John W. Wilcut. "Economic Assessment of Weed Management Systems in Glufosinate-Resistant, Glyphosate-Resistant, Imidazolinone-Tolerant, and Nontransgenic Corn." Weed Technology 21, no. 1 (2007): 191–98. http://dx.doi.org/10.1614/wt-06-054.1.

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Four field studies were conducted in 2004 to evaluate corn tolerance, weed control, grain yield, and net returns in glufosinate-resistant (GUR), glyphosate-resistant (GYR), imidazolinone-tolerant (IT), and nontransgenic (NT) corn with various herbicide systems. No significant differences between hybrid systems were observed for weed control. Limited corn injury (< 5%) was observed for all herbicide treatments. A single early POST (EPOST) system withoutS-metolachlor and sequential POST over the top (POT) herbicide systems, averaged over corn hybrids and PRE and late POST-directed (LAYBY) her

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Yue, Huijun, Jinyu Lin, Peng Dong, Zhinan Chen, and Xiangyang Xu. "Configurations and Control Strategies of Hybrid Powertrain Systems." Energies 16, no. 2 (2023): 725. http://dx.doi.org/10.3390/en16020725.

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The configuration and control strategy of hybrid powertrain systems are significant for the development of hybrid electric vehicles (HEV) because they significantly affect their comprehensive performance. In this paper, the types, features, and applications of the mainstream hybrid powertrain configurations on the market in recent years are summarized and the effects of different configurations on the comprehensive performance of HEVs are compared. Moreover, the technical routes for each hybrid configuration are highlighted, as configuration optimization methods have become a technical difficu

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Roslan, Sharul Baggio, Dimitrios Konovessis, and Zhi Yung Tay. "Sustainable Hybrid Marine Power Systems for Power Management Optimisation: A Review." Energies 15, no. 24 (2022): 9622. http://dx.doi.org/10.3390/en15249622.

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The increasing environmental concerns due to emissions from the shipping industry have accelerated the interest in developing sustainable energy sources and alternatives to traditional hydrocarbon fuel sources to reduce carbon emissions. Predominantly, a hybrid power system is used via a combination of alternative energy sources with hydrocarbon fuel due to the relatively small energy efficiency of the former as compared to the latter. For such a hybrid system to operate efficiently, the power management on the multiple power sources has to be optimised and the power requirements for different

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10

Wu, Zhangling, Peiquan Jin, Chengcheng Yang, and Lihua Yue. "Efficient Memory Management for NVM-Based Hybrid Memory Systems." International Journal of Control and Automation 9, no. 1 (2016): 445–58. http://dx.doi.org/10.14257/ijca.2016.9.1.38.

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11

Dwivedi, Shailendra, та Yash Dave. "Energy Management And Control Strategies For Parallel Hybrid Eleсtriс Vehiсle". Journal of Futuristic Sciences and Applications 5, № 1 (2022): 65–70. http://dx.doi.org/10.51976/jfsa.512209.

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For the parallel hybrid electric vehicle, the various control strategies for energy management are illustrated with the implementation of fuzzy logic. The controller is designed and simulated in two modes for the economy and fuel optimisation. In order to manage the energy in HEV with three separate energy sources—batteries, Fuel cell and a supercapacitor system, —this article intends to create a fuzzy logic controller. By considering a complete system, the operating efficiency of the components need to be optimized. the control strategy implementation will be performed by the forward-facing a

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12

Sankarananth, S., G. Santhosh Kumar, and G. Kavitha. "A Novelty of Several Optimization Criteria Hybrid Energy Storage System and Power Management in EV Applications." E3S Web of Conferences 405 (2023): 02007. http://dx.doi.org/10.1051/e3sconf/202340502007.

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The power management capabilities of hybrid energy storage systems offer several advantages for EVs, including improved performance, longer battery life, and reduced cost. HES technologies which combine Li-ion cells with ultra-capacitors (UC), are developing as just a possible alternative to the constraints of conventional ESS for conserving electricity. Lithium-ion batteries have a limited cycle life, meaning that they gradually degrade with each charge-discharge cycle. This can reduce the overall lifetime of the ESS and require more frequent replacements, adding to the cost and environmental

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13

Alleyne, Andrew, Timothy Deppen, Jonathan Meyer, and Kim Stelson. "Enery management in Mobile Hydraulics." Mechanical Engineering 135, no. 06 (2013): S4—S6. http://dx.doi.org/10.1115/1.2013-jun-5.

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This paper explores research into hydraulic hybrids that span a wide range of applications from heavy-duty vehicles, such as city buses, to small passenger vehicles. This case study also highlights the importance of having a well-designed energy management strategy if one is to maximize benefit of the hybrid powertrain. There is potential for hydraulic hybrid vehicles to offer a cost-effective solution to the need for increased efficiency in transportation systems. The high-power density of fluid power makes it a natural choice for energy storage in urban driving environments where there are f

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14

Zarin, Anjum Ananna, Talukder Khadiza, Nondi Sumona, Hasan Mahmudul, and Chowdhury Nahid-Ur-Rahman. "A Qualitative Study on Hybrid Microgrid Control Methodologies: Challenges and Prospects." Journal of Emerging Trends in Electrical Engineering 6, no. 3 (2024): 32–47. https://doi.org/10.5281/zenodo.13744003.

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<em>Recent advancements in conventional power systems have been significantly driven by the development of modern smart grids. These grids feature interconnected microgrids that are characterized by high levels of energy storage and renewable energy penetration, making them increasingly popular in contemporary distribution networks. Looking forward, electrical distribution systems are considered to hold substantial promise for hybrid AC-DC systems. The operation of these hybrid systems, facilitated by interfacing converters that connect AC and DC microgrids, benefits from this. Effective power

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15

Anantwar, Harsha, and Shanmukh Sunda. "Intelligent Optimized Voltage Control for Hybrid Off-Grid Power Systems." Journal of Asian Energy Studies 7 (February 8, 2023): 39–47. http://dx.doi.org/10.24112/jaes.070003.

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Hybrid off-grid power systems with different renewable and non-renewable energy sources, such as wind, photovoltaics, and diesel generation, have a wide application scope in regions where grid extension is not possible. To supply quality power, hybrid off-grid power systems need proper reactive power management to deal with randomly changing load and supply. In particular, to realize dependable and quality power supply, hybrid off-grid power systems require suitable and efficient control techniques. A properly tuned controller of reactive power sources is crucial to maintain a prescribed volta

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16

Kong, Hui, and Haobo Zhao. "A Review of Energy Management Strategies for Ship Hybrid Power Systems." International Journal of Education and Humanities 19, no. 3 (2025): 41–47. https://doi.org/10.54097/tv814c06.

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With the enhancement of environmental awareness and the increase in the demand for sustainable development in the shipping industry, the energy management strategy of ship hybrid power systems has become a research hotpot. This paper integrates multiple related papers and comprehensively expounds the current research status of energy management strategies for ship hybrid power systems. A variety of energy management strategies are introduced in detail, including rule-based control strategy, model predictive control, equivalent consumption minimization strategy, intelligent algorithm control st

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17

Abreu, Amanda, Romain Bourdais, and Hérvé Guéguen. "Hierarchical Model Predictive Control for Building Energy Management of Hybrid Systems." IFAC-PapersOnLine 51, no. 16 (2018): 235–40. http://dx.doi.org/10.1016/j.ifacol.2018.08.040.

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18

Zhang, Hong, and Paul Georgescu. "Finite-time control of impulsive hybrid dynamical systems in pest management." Mathematical Methods in the Applied Sciences 37, no. 17 (2014): 2728–38. http://dx.doi.org/10.1002/mma.3013.

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19

Ramesh T. "Deep learning -Based Control and Management of grid connected hybrid renewable energy system." Journal of Information Systems Engineering and Management 10, no. 30s (2025): 859–74. https://doi.org/10.52783/jisem.v10i30s.4935.

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Hybrid renewable energy sources (HRESs), including wind and photovoltaic systems (PV), are gaining popularity as alternatives to traditional sources for power in distributed generation, with the integration of energy storage systems(BAT) enhancing their effectiveness, such as battery, are important for ensuring equilibrium between the variable nature of energy production and the changing conditions of dynamic RL load. The situation demands sophisticated power control and management strategies to address difficult circumstances. This study examines and assesses an effective method for regulatin

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20

Doff-Sotta, Martin, Mark Cannon, and Marko Bacic. "Optimal energy management for hybrid electric aircraft." IFAC-PapersOnLine 53, no. 2 (2020): 6043–49. http://dx.doi.org/10.1016/j.ifacol.2020.12.1672.

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21

Taranenko, Nikita, and Iryna Trunova. "Research on machine learning methods for energy consumption optimization in plug-in hybrid electric vehicles." Vehicle and electronics. Innovative technologies, no. 27 (May 28, 2025): 137–51. https://doi.org/10.30977/veit.2025.27.0.10.

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Problem. The growing demand for sustainable and energy-efficient transportation has intensified interest in plug-in hybrid electric vehicles as an effective alternative to conventional internal combustion engine vehicles. However, the efficiency and flexibility of these systems are significantly constrained by traditional energy management strategies, which lack adaptability to real-world dynamic driving conditions, road scenarios, and individual driving styles. The need for real-time, predictive, and intelligent control algorithms has become critical to optimize energy use, reduce fuel consum

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22

Naji Alhasnawi, Bilal, Basil H. Jasim, and M. Dolores Esteban. "A New Robust Energy Management and Control Strategy for a Hybrid Microgrid System Based on Green Energy." Sustainability 12, no. 14 (2020): 5724. http://dx.doi.org/10.3390/su12145724.

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The recent few years have seen renewable energy becoming immensely popular. Renewable energy generation capacity has risen in both standalone and grid-connected systems. The chief reason is the ability to produce clean energy, which is both environmentally friendly and cost effective. This paper presents a new control algorithm along with a flexible energy management system to minimize the cost of operating a hybrid microgrid. The microgrid comprises fuel cells, photovoltaic cells, super capacitors, and other energy storage systems. There are three stages in the control system: an energy manag

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23

Reddy, Y. Jaganmohan, Y. V. Pavan Kumar, Anilkumar Ramsesh, and K. Padma Raju. "Dynamic Control Algorithm for Energy Management In Hybrid Power Systems With A Novel Design for Power Quality Improvement." International Journal of Scientific Research 2, no. 5 (2012): 150–56. http://dx.doi.org/10.15373/22778179/may2013/53.

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24

Gajewski, Piotr, and Krzysztof Pieńkowski. "Control of the Hybrid Renewable Energy System with Wind Turbine, Photovoltaic Panels and Battery Energy Storage." Energies 14, no. 6 (2021): 1595. http://dx.doi.org/10.3390/en14061595.

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The aim of the paper is the study of the Hybrid Renewable Energy System, which is consisted of two types of renewable energy systems (wind and sun) and is combined with storage energy system (battery). The paper presents the classification and review of architectures of Hybrid Renewable Energy Systems. The considered Hybrid Renewable Energy System was designed as a multi-converter system with gearless Wind Turbine driven Permanent Magnet Synchronous Generator and with a Photovoltaic Array and Battery Energy System. The mathematical models of individual elements of a complex Hybrid Renewable En

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25

Chekira, Ouadiâ, Ali Boharb, Younes Boujoudar, Hassan El Moussaoui, Tijani Lamhamdi, and Hassane El Markhi. "An improved energy management control strategy for a standalone solar photovoltaic/battery system." Indonesian Journal of Electrical Engineering and Computer Science 27, no. 2 (2022): 647. http://dx.doi.org/10.11591/ijeecs.v27.i2.pp647-658.

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This <span>paper proposes efficient energy management in hybrid microgrid-comprising of photovoltaic (PV) and battery storage systems. The proposed technique. The hybrid system's power balance is based on smart control to meet the demands of isolated off-grid direct current (DC) loads as well as to stabilize the voltage to DC Bus. The Perturb and Observe technique (P&amp;O) is used to achieve maximum power point tracking by adjusting the duty cycle of the Bidirectional converter, which links the Li-ion battery to the DC Bus of stand-alone power systems (SPS). The proposed controller

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26

Zhong, Dawei, Bolan Liu, Liang Liu, Wenhao Fan, and Jingxian Tang. "Artificial Intelligence Algorithms for Hybrid Electric Powertrain System Control: A Review." Energies 18, no. 8 (2025): 2018. https://doi.org/10.3390/en18082018.

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With the accelerating depletion of fossil fuels and growing severity of air pollution, hybrid electric powertrain systems have become a research hotspot in transportation, owing to their ability to improve fuel economy and reduce emissions. However, optimizing the control of these systems is challenging, as it involves multi-power source coordination, dynamic operating condition adaptation, and real-time energy distribution. Traditional control methods, whether rule-based or optimization-based, often lack global optimality and adaptability. In recent years, artificial intelligence algorithms h

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27

Berthaut, F., A. Gharbi, and R. Pellerin. "Joint hybrid repair and remanufacturing systems and supply control." International Journal of Production Research 48, no. 14 (2009): 4101–21. http://dx.doi.org/10.1080/00207540902933148.

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28

Elmouatamid, Abdellatif, Radouane Ouladsine, Mohamed Bakhouya, Najib El Kamoun, Mohammed Khaidar, and Khalid Zine-Dine. "Review of Control and Energy Management Approaches in Micro-Grid Systems." Energies 14, no. 1 (2020): 168. http://dx.doi.org/10.3390/en14010168.

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The demand for electricity is increased due to the development of the industry, the electrification of transport, the rise of household demand, and the increase in demand for digitally connected devices and air conditioning systems. For that, solutions and actions should be developed for greater consumers of electricity. For instance, MG (Micro-grid) buildings are one of the main consumers of electricity, and if they are correctly constructed, controlled, and operated, a significant energy saving can be attained. As a solution, hybrid RES (renewable energy source) systems are proposed, offerin

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29

Zhao, Zicong, Jing Xun, Xin Wan, and Ruochuan Yu. "MPC Based Hybrid Electric Vehicles Energy Management Strategy." IFAC-PapersOnLine 54, no. 10 (2021): 370–75. http://dx.doi.org/10.1016/j.ifacol.2021.10.190.

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30

Hemeida, Mahmoud, Tomonobu Senjyu, Salem Alkhalaf, Asmaa Fawzy, Mahrous Ahmed, and Dina Osheba. "Reactive Power Management Based Hybrid GAEO." Sustainability 14, no. 11 (2022): 6933. http://dx.doi.org/10.3390/su14116933.

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Electrical power networks are expanded regularly to meet growing energy requirements. Reactive power dispatch (RPD) optimization is a powerful tool to enhance a system’s efficiency, reliability, and security. RPD optimization is classified as a non-linear and non-convex problem. In this paper, the RPD optimization problem is solved based on novel hybrid genetic algorithms—equilibrium optimizer (GAEO) optimization algorithms. The control variables are determined in such a way that optimizes RPD and minimizes power losses. The efficiency of the proposed optimization algorithms is compared to oth

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31

Bogdanov, Vladimir. "Hybrid control systems: from ontological reflection to conceptualization of the phenomenon." Science. Culture. Society 30, no. 2 (2024): 25–36. http://dx.doi.org/10.19181/nko.2024.30.2.2.

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As the practices of using digital means in various spheres of life and at the levels of ensuring its regulation, it becomes more and more urgent to consider the nature and consequences of hybridization of social and digital relations, the results of which are now manifested at all levels of social management: social (interaction of the state and society), organizational (managerial, sectoral), local (territorial and interpersonal interaction). In this context, a dual perspective of hybridization emerges: technocratic (unification, modernization, and control from above). In this context, a dual

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32

Cicirelli, Franco, and Libero Nigro. "Admission Control in Home Energy Management Systems Using Theatre and Hybrid Actors." Modelling 2, no. 2 (2021): 288–307. http://dx.doi.org/10.3390/modelling2020015.

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The goal of a Home Energy Management System (HEMS) is that of purposely shaping the cumulative energy consumption curves of domestic appliances by imposing suitable monitoring and control policies. The development of HEMS, like the development of general Cyber-Physical Systems (CPSs), is challenging, as it requires the exploitation of suitable methodological approaches which are able to deal jointly with the continuous and discrete behaviours of a CPS. In this paper, a methodological approach for HEMS is advocated which relies on the use of the Theatre actor system with hybrid actors. As a key

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33

Sureshkumar, Kumaravel, and Vijayakumar Ponnusamy. "Hybrid renewable energy systems for power flow management in smart grid using an efficient hybrid technique." Transactions of the Institute of Measurement and Control 42, no. 11 (2020): 2068–87. http://dx.doi.org/10.1177/0142331220904818.

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Efficient approach for power flow management of hybrid renewable energy system connected smart grid system is proposed in this paper. Here, the proposed approach is the combination of both the modified elephant herding optimization algorithm with tabu search algorithm named as MEHOTSA. In the proposed technique, the modified elephant herding optimization algorithm plays out the assessment procedure to establish the exact control signals for the system and builds up the control signals database for the offline way in light of the power variety between source side and the load side. The multi-ob

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34

Khan, Akhlaque Ahmad, Ahmad Faiz Minai, Rupendra Kumar Pachauri, and Hasmat Malik. "Optimal Sizing, Control, and Management Strategies for Hybrid Renewable Energy Systems: A Comprehensive Review." Energies 15, no. 17 (2022): 6249. http://dx.doi.org/10.3390/en15176249.

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To meet the expanding energy demand, all available energy sources must be utilized. Renewable energies are both eternal and natural, but their major downside is their inconsistency. Due to the rising costs of fossil fuels and the CO2 they emit, hybrid renewable energy (HRE) sources have gained popularity as an alternative in remote and rural areas. To address this issue, a hybrid renewable energy system (HRES) can be developed by combining several energy sources. In order to build modern electrical grids that have advantages for the economy, environment, and society, the hybrid system is prefe

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35

Mahesh Ganesh Jalgaonkar, Dr. Santosh C. Wagaj. "Real-Time Battery Monitoring and Control for EV Applications." Cuestiones de Fisioterapia 54, no. 3 (2025): 4391–98. https://doi.org/10.48047/tr39pv19.

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The battery is an essential component of electric vehicles and represents a step toward sustainable mobility. Electric and hybrid vehicles rely largely on Battery Management Systems (BMS) to operate effectively. The battery management system (BMS) assures the battery's safety and consistency.

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36

A.D., Adebayo, and Christian A. "Voltage and Frequency Control for Hybrid Stand-Alone Power Systems For Isolated Communities." Advanced Journal of Science, Technology and Engineering 1, no. 1 (2021): 8–28. http://dx.doi.org/10.52589/ajste-qaxnewum.

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This paper proposes a control and overall coordination of a hybrid stand-alone power system. The system may comprise a wind turbine, fuel cell, electrolyzer, battery storage, diesel generator and a set of loads. The overall control planning of the hybrid system is based on a two-level structure. The top-level is the energy management and power regulation system. Depending on wind and load conditions, this system generates reference dynamic operating points to low-level individual sub-systems. The energy management and power regulation system also controls the load scheduling operation during u

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37

Harrigan, Fiona. "Evolution of Accounting Controls in a De-Integrated Project Structure: A Case of Hybridization." Journal of Information Systems 28, no. 2 (2014): 329–55. http://dx.doi.org/10.2308/isys-50777.

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ABSTRACT This paper studies accounting controls in the design and production of the 787 aircraft project by Boeing Commercial Aircraft Group (BCAG). The literature strongly supports the role of accounting control systems in operationalizing de-integrated structures, acknowledging that such systems may become “hybrids” of accounting and technological practices. Hybrid processes are critical in operationalizing network forms and allowing products and technologies to be developed in “virtual” spaces. As accounting encounters hybrids (e.g., costing of product specifications, technological performa

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Lin, Xinfan, Youngki Kim, Shankar Mohan, Jason B. Siegel, and Anna G. Stefanopoulou. "Modeling and Estimation for Advanced Battery Management." Annual Review of Control, Robotics, and Autonomous Systems 2, no. 1 (2019): 393–426. http://dx.doi.org/10.1146/annurev-control-053018-023643.

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The commercialization of lithium-ion batteries enabled the widespread use of portable consumer electronics and serious efforts to electrify trans-portation. Managing the potent brew of lithium-ion batteries in the large quantities necessary for vehicle propulsion is still challenging. From space applications a billion miles from Earth to the daily commute of a hybrid electric automobile, these batteries require sophisticated battery management systems based on accurate estimation of battery internal states. This system is the brain of the battery and is responsible for estimating the state of

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39

Boughton, Charlotte, and Roman Hovorka. "#We don't have to wait any more Closed-loop systems: transforming the landscape." British Journal of Diabetes 22, Supplement 1 (2022): S85—S89. http://dx.doi.org/10.15277/bjd.2022.374.

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Hybrid closed-loop systems are transforming the clinical management of T1DM. Large randomised controlled trials of hybrid closed-loop systems have demonstrated safety and efﬁcacy, with signiﬁcant improvements in glycaemic control compared to control therapy, and there are now several commercially approved hybrid closed-loop systems available in the UK. There is also a growing body of evidence demonstrating the quality of life beneﬁts associated with hybrid closed-loop systems, both for users and also for parents/caregivers and other family members. We review the clinical evidence supporting cu

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40

Al-Saadi, Ziad, Duong Phan Van, Ali Moradi Amani, et al. "Intelligent Driver Assistance and Energy Management Systems of Hybrid Electric Autonomous Vehicles." Sustainability 14, no. 15 (2022): 9378. http://dx.doi.org/10.3390/su14159378.

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Automotive companies continue to develop integrated safety, sustainability, and reliability features that can help mitigate some of the most common driving risks associated with autonomous vehicles (AVs). Hybrid electric vehicles (HEVs) offer practical solutions to use control strategies to cut down fuel usage and emissions. AVs and HEVs are combined to take the advantages of each kind to solve the problem of wasting energy. This paper presents an intelligent driver assistance system, including adaptive cruise control (ACC) and an energy management system (EMS), for HEVs. Our proposed ACC dete

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Yong-Lei Zhao, Yong-Lei Zhao, and Hai-Feng Yan Yong-Lei Zhao. "Control of Fuel Lithium Battery Hybrid Vehicle Power Supply System and Vehicle Energy Management Strategy." 電腦學刊 34, no. 5 (2023): 189–96. http://dx.doi.org/10.53106/199115992023103405014.

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<p>The main research object of this article is the increasing number of new energy vehicles, focusing on the energy management issues of new energy vehicles. Firstly, a real car model was established: an engine mathematical model, an electric motor mathematical model, and a power battery mathematical model. Then, in order to achieve optimal management of vehicle energy management, an algorithm model for vehicle energy dynamic planning was established with the goal of minimizing energy consumption. Finally, simulation experiments were conducted to verify the performance improvement of the

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42

Babu, Thiruveedula Madhu, Kalagotla Chenchireddy, Kotha Kalyan Kumar, Vasukul Nehal, Sappidi Srihitha, and Marikal Ram Vikas. "Intelligent control strategies for grid-connected photovoltaic wind hybrid energy systems using ANFIS." International Journal of Advances in Applied Sciences 13, no. 3 (2024): 497. http://dx.doi.org/10.11591/ijaas.v13.i3.pp497-506.

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This study proposes intelligent control strategies for optimizing the grid integration of photovoltaic (PV) and wind energy in hybrid systems using an adaptive neuro-fuzzy inference system (ANFIS). The ANFIS control aims to enhance grid stability, improve power management, and maximize renewable energy (RE) utilization. The hybrid system's performance is evaluated through simulations, considering various environmental conditions and load demands. Results demonstrate the effectiveness of the proposed ANFIS-based control in dynamically adjusting the power output from PV and wind sources, ensurin

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Thiruveedula, Madhu Babu, Chenchireddy Kalagotla, Kalyan Kumar Kotha, Nehal Vasukul, Srihitha Sappidi, and Ram Vikas Marikal. "Intelligent control strategies for grid-connected photovoltaic wind hybrid energy systems using ANFIS." International Journal of Advances in Applied Sciences (IJAAS) 13, no. 3 (2024): 497–506. https://doi.org/10.11591/ijaas.v13.i3.pp497-506.

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This study proposes intelligent control strategies for optimizing the grid integration of photovoltaic (PV) and wind energy in hybrid systems using an adaptive neuro-fuzzy inference system (ANFIS). The ANFIS control aims to enhance grid stability, improve power management, and maximize renewable energy (RE) utilization. The hybrid system's performance is evaluated through simulations, considering various environmental conditions and load demands. Results demonstrate the effectiveness of the proposed ANFIS-based control in dynamically adjusting the power output from PV and wind sources, ensurin

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Boros, Ruben Rafael, Marcell Jobbágy, and István Bodnár. "Optimized Real-Time Energy Management and Neural Network-Based Control for Photovoltaic-Integrated Hybrid Uninterruptible Power Supply Systems." Energies 18, no. 6 (2025): 1321. https://doi.org/10.3390/en18061321.

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The increasing penetration of photovoltaic (PV) systems and the need for reliable backup power solutions have led to the development of hybrid uninterruptible power supply (UPS) systems. These systems integrate PV energy storage with battery backup and grid power to optimize real-time energy management. This paper proposes an advanced energy management strategy and an artificial neural network (ANN)-based control method for PV-integrated hybrid UPS systems. The proposed strategy dynamically determines the optimal power-sharing ratio between battery storage and the grid based on real-time econo

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Hamza, Ameer, Muhammad Arshad Javid, Sadaqat Hayyat, and Mohammed Najeeb Ahmed Abdualjaleel Abduallah. "Energy Management in Lithium-Ion Battery and Supercapacitor Hybrid Systems: Techniques and Approaches." EJSMT 1, no. 1 (2025): 71–80. https://doi.org/10.59324/ejsmt.2025.1(1).05.

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The lithium-ion battery/supercapacitor hybrid energy storage system has become the most widely used hybrid energy storage system due to its excellent performance, low cost, and strong versatility. Energy management technology is one of the core technologies in hybrid energy storage systems and remains a significant research focus. To systematically review the energy management methods for hybrid energy storage systems, this article first introduces the topology, energy management architecture, and power allocation control of lithium-ion battery/supercapacitor hybrid systems. Next, the article

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Enemali Abah, David, Yusuf Sani Abu, Musa Adamu Ndalami, Aminu Jibrin Aliyu, and Nuraddeen Adam Iliyasu. "Efficient energy management for hybrid power systems using Fuzzy Logic Controller." KIU journal of science engineering and technology 4, no. 1 (2025): 176–81. https://doi.org/10.59568/kjset-2025-4-1-18.

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Energy management is critical for the efficient utilization of power resources, particularly in hybrid energy systems that integrate multiple energy sources. This study presents a Fuzzy Logic-based Energy Management System (FLEMS) designed to optimize power distribution and enhance overall system efficiency. The proposed system leverages fuzzy logic to enable real-time decision-making by dynamically adjusting power flow based on key parameters such as load demand, renewable energy availability, and battery storage capacity. The hybrid system integrates solar photovoltaic (PV), a diesel generat

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R., Sathishkumar, Venkateswaran M., Deepamangai P., and Soundar Rajan P. "An efficient power management control strategy for grid-independent hybrid renewable energy systems with hybrid energy storage: Hybrid approach." Journal of Energy Storage 96 (August 2024): 112685. http://dx.doi.org/10.1016/j.est.2024.112685.

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Sruthi, S., K. Karthikumar, and P. Chandrasekhar. "An efficient power management control strategy for grid-independent hybrid renewable energy systems with hybrid energy storage: Hybrid approach." Journal of Energy Storage 95 (August 2024): 112325. http://dx.doi.org/10.1016/j.est.2024.112325.

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Jung, Hyein, Tae Hoon Oh, Hyun Min Park, Heeyun Lee, and Jong Min Lee. "Hybrid Model Predictive Control for Hybrid Electric Vehicle Energy Management Using an Efficient Mixed-Integer Formulation." IFAC-PapersOnLine 55, no. 7 (2022): 501–6. http://dx.doi.org/10.1016/j.ifacol.2022.07.493.

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Deng, Junpeng, Luigi del Re, and Stephen Jones. "Predictive Hybrid Powertrain Energy Management with Asynchronous Cloud Update." IFAC-PapersOnLine 53, no. 2 (2020): 14123–28. http://dx.doi.org/10.1016/j.ifacol.2020.12.1013.

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