Search Results - (( intelligence system cell algorithm ) OR ( intelligence system control algorithm ))*

Energy management strategies, control systems, and artificial intelligence-based algorithms development for hydrogen fuel cell-powered vehicles: A review by Oladosu T.L., Pasupuleti J., Kiong T.S., Koh S.P.J., Yusaf T.

“…Therefore, this study presents the prospect of artificial intelligence-based algorithms, control systems, and energy management strategies advances on HFCEVs performance optimization. …”

Intelligent algorithms and control strategies for battery management system in electric vehicles: Progress, challenges and future outlook by Hossain Lipu M.S., Hannan M.A., Karim T.F., Hussain A., Saad M.H.M., Ayob A., Miah M.S., Indra Mahlia T.M.

“…Advanced vehicle control systems; Automotive batteries; Charging (batteries); Controllers; Electric automobiles; Fire hazards; Global warming; Intelligent control; Battery performance; Battery storage system; Computation complexity; Control strategies; Intelligent Algorithms; Internal and external factors; Precise monitoring; Vehicle applications; Battery management systems…”

Intelligent algorithm based modeling of renewable and green energy resources for microgrid optimization by Khamis, Alias

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Hybrid artificial intelligent algorithm for call admission control in WCDMA mobile network by Tee Y.K., Tiong S.K., Johnny K.S.P., Yeoh E.C.

Subjects: “…Algorithms…”

Efficiency improvement of a standalone photovoltaic system using fuzzy-based maximum power point tracking algorithm by Alhamdawee, Ehsan Mohsin Obaid

“…As a result, low efficiency ratio is obtained. The artificial intelligent MPPT techniques have the advantage of the adaptive nature to control the non-linear systems. …”
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A review of photovoltaic water pumping system designing methods, control strategies and field performance by Muhsen D.H., Khatib T., Nagi F.

“…Artificial intelligence; Design; Numerical methods; Photovoltaic cells; Pumping plants; Pumps; Solar energy; Solar power generation; Artificial intelligent; Field performance; Incremental conductance; Load matching; Maximum Power Point Tracking algorithms; Photovoltaic systems; Photovoltaic water pumping; Water pumping systems; Maximum power point trackers…”

A Modular Intelligent Control Framework for Scalable Biohydrogen Production in Microbial Electrolysis Cells by Mohd Farid, Atan, Mohamad Afiq, Mohd Asrul, Andrica Claudia, Henry, Hafizah, Abdul Halim Yun, Ivy Tan, Ai Wei, Josephine Lai, Chang Hui

“…This review traces the evolution of five control paradigms, including voltage/proportional-integral-derivative (PID), model-based, adaptive, fuzzy logic, and artificial-intelligence (AI) systems, as well as hybrid intelligent controllers, and benchmarks each against scalability, dynamic responsiveness, and energy-recovery performance. …”
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Optimized Intelligent Controller for Energy Storage based Microgrid towards Sustainable Energy Future by Abu S.M., Hannan M.A., Mansor M., Ker P.J., Yaw Long C.

“…This system relies on a single renewable energy source, a photovoltaic (PV) system that is integrated with the energy storage system (ESS) including hydrogen-based fuel cell, battery, and supercapacitor for effective power management. …”

Photovoltaic-based single-ended primary-inductor converter with dual-fuzzy logic control-based maximum power point tracking by Ramalu, Tanaselan

“…Among artificial intelligent algorithms used in MPPT are neural network, fuzzy logic control (FLC) and genetic algorithm. …”
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Artificial intelligent power prediction for efficient resource management of WCDMA mobile network by Tee Y.K., Tinng S.K., Koh J., David Y.

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Charge equalization controller algorithm for series-connected lithium-ion battery storage systems: Modeling and applications by Hannan M.A., Hoque M.M., Ker P.J., Begum R.A., Mohamed A.

A hybrid approach for artificial immune recognition system / Mahmoud Reza Saybani by Mahmoud Reza, Saybani

“…Many researchers, who have developed methods and algorithms within the field of artificial intelligence, machine learning and data mining, have addressed extracting useful information from the data. …”
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Process Planning Optimization In Reconfigurable Manufacturing Systems by Musharavati, Farayi

“…On the other hand, the superior performance of the genetic algorithm that implements an extended diversity control mechanism demonstrates that more competent genetic algorithms can be designed through customized operators. …”
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An Intelligent Controlling Method for Battery Lifetime Increment Using State of Charge Estimation in PV-Battery Hybrid System by Qays, Md Ohirul, Yonis M Yonis, Buswig, Hazrul, Basri, Hossain, Md Liton, Ahmed, Abu-Siada, Rahman, Md Momtazur, Muyeen, S. M.

“…As such, an intelligent power control approach for a PV-battery standalone system is proposed in this paper to improve the reliability of the battery along its operational life. …”
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Energy Management System For Three-Wheel Light Electric Vehicle Using Multi-Sources Energy Models by Azidin, Farid Arafat

“…A close loop vehicle system implemented with intelligent EMS is designed in MATLAB/Simulink. …”
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Cloud co-residency denial of service threat detection inspired by artificial immune system by Ahmad A., Shafiuddin W., Kama M.N., Idris N.B., Madihah Mohd Saudi

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A fuzzy-predictive current control with real-time hardware for PEM fuel cell systems by Kanouni B., Badoud A.E., Mekhilef S., Elsanabary A., Bajaj M., Zaitsev I.

“…This research study presents the application of the FC-PCC (Fuzzy Logic Predictive Current Control) algorithm in the context of maximum power point tracking (MPPT) for a proton exchange membrane fuel cell system employing a three-level boost converter (TLBC). …”

Charging and discharging control of Li-Ion battery energy management for Electric vehicle application by Verasamy M., Faisal M., Ker P.J., Hannan M.A.

“…An intelligent charge control algorithm is used for this purpose. …”

Active Cell Balancing Control Method for Series-Connected Lithium-Ion Battery by Buswig, Yonis.M.Yonis, Al-Khalid, Bin Hj Othman, Norhuzaimin, Bin Julai

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A comprehensive overview of classical and modern route planning algorithms for self-driving mobile robots by Wan Daud, Wan Mohd Bukhari, Abu, Nur Syuhadah, Omar, Siti Nashayu, Sohaimeh, Shahirul Ashraf, Adli,, M. H.

“…Classical or traditional methods, such as Roadmaps (Visibility Graph and Voronoi Diagram), Potential Fields, and Cell Decomposition, and modern methodologies such as heuristic-based (Dijkstra Method, A* Algorithms, and D* Algorithms), metaheuristics algorithms (such as PSO, Bat Algorithm, ACO, and Genetic Algorithm), and neural systems such as fuzzy neural networks or fuzzy logic (FL) and Artificial Neural Networks (ANN) are described in this report. …”
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