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Fuzzy control of hybrid energy storage system

The HESS contains at least two types of electrochemical batteries having different properties. Control algorithms are based on fuzzy logic and perform real-time control having the goal of active power balancing. Fuzzy rules are adapted to exploit individual advantages of each bat
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Wavelet packet-fuzzy control of hybrid energy storage systems

In this paper, a hybrid energy storage system consisting of energy-type storage system and power-type storage system is used to smooth the PV power generation fluctuations.

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Fractional order fuzzy control of hybrid power system with

Model of different energy storage systems. In the hybrid energy system of Fig. 1, the FESS, BESS and the UC are connected in the feedback loop and are actuated by the signal from the FO fuzzy controller. These absorb or release energy from or to the grid if there is a surplus or deficit amount of power respectively.

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Proposed frequency decoupling-based fuzzy logic control for

The semiconductor revolution in 1874 and DC/AC power transistors in 1948 improved power electronics, enabling advanced technologies to enhance power conversion efficiency for distributed energy resources (DERs) with different coupling configurations and control structures [1, 2].Renewable energy helps achieve cheaper electricity, smaller grids, and

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What is a hybrid energy storage system?

The proposed hybrid energy storage system of the HEV in this work consists of two energy sources: (1) main source: fuel cell and (2) auxiliary source: ultra-capacitor and battery. Furthermore, a fuzzy logic-based nonlinear controller has been developed to effectively control the management of energy sources according to load demand.

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Fuzzy logic-model predictive control energy management

This EMS uses i) fuzzy logic control to guarantee the state of charge of the energy storage system (ESS) at the desired range, ii) model predictive control (MPC) to define the operation of the ESS and iii) rule-based control to manage additional sources and ensure power balance. The MPC strategy uses a fuzzy logic predictor algorithm for load

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Fuzzy energy management strategy for hybrid electric vehicles on

The battery/ultracapacitor hybrid power supply system can solve the problems of high cost and short life of a single power system, and the energy management of hybrid power system has become a vital issue in the field of electric vehicles. In this paper, a fuzzy energy management strategy on the state-of-charge (SOC) estimation of power battery is proposed.

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Fuzzy and feedforward control of an hybrid thermal energy storage system

A control model for operating a system that stores simultaneously sensible heat from solar and electric energy is proposed. The hybrid thermal energy storage system accumulates solar energy during

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What is a hybrid energy storage system (Hess)?

To solve the problem of battery capacity degradation caused by high current magnitudes and frequent current variations in electric vehicles (EVs), a hybrid energy storage system (HESS) incorporating high energy density storage (battery) and high power density storage (ultracapacitor) is proposed.

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Novel Hybrid Fuzzy/Rule-based Energy Management for Grid

The effective control of the storage system has great importance in maintaining the balance between generation and demand to regulate the bus voltage in the DC microgrid. For this

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Fuzzy-barrier sliding mode control of electric-hydrogen hybrid

In this study, a novel model and nonlinear barrier function-based first order sliding mode control (NBF-FOSMC) of a hybrid hydrogen-electric energy storage system in DC

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A comprehensive review on fuzzy logic control systems for all, hybrid

For this purpose, power distribution and energy management strategies are very important for hybrid energy storage systems (HESS). If a hybrid power system has a good energy management strategy, it can fully exploit its advantages and achieve the desired goals (Wang et al. 2020). Fuzzy logic control has the advantages of being flexible, being

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Fuzzy-barrier sliding mode control of electric-hydrogen hybrid energy

In this study, a novel model and nonlinear barrier function-based first order sliding mode control (NBF-FOSMC) of a hybrid hydrogen-electric energy storage system in DC microgrid has been presented. The photo-voltaic array works at its maximum power point while the fuel cell consumes hydrogen produced by the electrolyzer along with the battery and

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Observer-based type-2 fuzzy approach for robust control and energy

In this paper, an observer-based type-2 fuzzy method is proposed for control and energy management strategy (EMS) of the hybrid energy storage system (HESS) which can be composed of the fuel cell (FC), battery (BA), and supercapacitor (SC).

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Fuzzy-barrier sliding mode control of electric-hydrogen hybrid energy

In this study, a novel model and nonlinear barrier function-based first order sliding mode control (NBF-FOSMC) of a hybrid hydrogen-electric energy storage system in DC microgrid has been presented.

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Fuzzy logic-based control strategy for a battery/supercapacitor hybrid

In order to optimize the operation status of hybrid energy storage system in electric vehicles, a novel fuzzy logic control strategy is proposed. This strategy adopts Kalman filtering algorithm to estimates state of charge (SOC) and state of power (SOP), which can calculate the optimum power and alleviate the errors of SOC effectively. Besides, the framework of the strategy and

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Fuzzy and feedforward control of an hybrid thermal energy storage system

The hybrid thermal energy storage system accumulates solar energy during sunny days and releases it later at night or during cloudy days. It also stores heat from an electric heater during off-peak periods so as to release it later during peak periods. The control strategy for a fuzzy logic/feedforward controller (FLFFC) is then exemplified

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A Novel Design of Fuzzy Logic Control Algorithm for Hybrid Energy

This paper investigates the control methodology of hybrid energy storage system (HESS)in the context of microgrid. It develops a novel fuzzy logic control (FLC)method for HESS aiming at minimizing power fluctuation between the microgrid and the external grid to deal with peak power demands and reduce the disturbance caused by distributed renewable energy sources. The

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Is fuzzy logic tuned PID controller based on IPMSM?

Rohan A, Asghar F, Kim SH (2018) Design of fuzzy logic tuned PID controller for electric vehicle BASED on IPMSM using flux-weakening. J Electr Eng Technol 13 (1):451–459 Majeed MA, Khan MG, Asghar F (2019) Nonlinear control of hybrid energy storage system for hybrid electric vehicles.

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Fuzzy logic-based coordinated control method for multi-type

In order to take full advantage of the complementary nature of multi-type energy storage and maximally increase the capability of tracking the scheduled wind power output, a charging–discharging control strategy for a battery energy storage system (BESS) comprising many control coefficients is established, and a power distribution method employing fuzzy

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CEEMD-Fuzzy Control Energy Management of Hybrid Energy

Abstract: To improve the performance of the energy storage system of electric vehicles, a complete ensemble empirical mode decomposition-fuzzy logic control energy management

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Fuzzy logic-based voltage regulation of hybrid energy storage

The proposed hybrid energy storage system of the HEV in this work consists of two energy sources: (1) main source: fuel cell and (2) auxiliary source: ultra-capacitor and

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Experts versus Algorithms? Optimized Fuzzy Logic Energy

fuzzy logic control for the energy management of hybrid energy storage systems. Therefore, this article makes the following contributions: Firstly, it aims at giving a detailed account of the expert knowledge used to design the fuzzy logic controller in the context of autonomous PV hybrid systems with battery and H2 storage path. Secondly,

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Energy Management Control Strategy of Hybrid Energy Storage System

In order to solve the problem of delayed power supply due to sudden load change in DC microgrid, a hybrid energy storage system composed of fuel cell, supercapacitor and battery is proposed to supply power to the load. Firstly, in order to realize the rational distribution of the load demand power in the hybrid energy storage system, the fuzzy logic

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An Energy Management Strategy Based on Fuzzy Logic for Hybrid Energy

An Energy Management Strategy Based on Fuzzy Logic for Hybrid Energy Storage System in Electric Vehicles. Yongpeng Shen, Yongpeng Shen. Non-member. (SOC) of UC, the speed, and demand power of EV, an energy management strategy (EMS) based on fuzzy logic control (FLC) for the HESS is proposed in this paper. According to the strategy, the

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Hybrid energy storage system control and capacity allocation

Hybrid energy storage system (HESS) can cope with the complexity of wind power. But frequent charging and discharging will accelerate its life loss, and affect the long-term wind power smoothing effect and economy of HESS. Ref. [7] adopted a fuzzy controller to control the energy storage power signals, zoning the ACE and SOC signals to

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DC MICROGRID WITH ENERGY STORAGE SYSTEM and

DC Microgrid with Energy Storage System and Hybrid Distributed . . . . 109 Journal of Engineering Science and Technology Special Issue 8/2023 Fig. 2. The control diagram for the photo voltaic system. Fig. 3. The control diagram of the energy storage system. The fuzzy logic controller regulates bus voltage and power balance and

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What is a fuzzy control strategy?

This paper uses a fuzzy control strategy, based on the actual operating conditions of the ship, except that the ship''s power fluctuation is very small; the SC will provide energy for the ship to make full use of the SC instead of waiting for the arrival of high-power fluctuations.

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Is fuzzy logic based controller a good choice for HEV?

The proposed HEV model has been developed using MATLAB/Simulink environment and the simulation results verify that the proposed fuzzy logic-based controller provides better voltage regulation and efficient energy management for the complete drive range of the HEV.

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About Fuzzy control of hybrid energy storage system

About Fuzzy control of hybrid energy storage system

The HESS contains at least two types of electrochemical batteries having different properties. Control algorithms are based on fuzzy logic and perform real-time control having the goal of active power balancing. Fuzzy rules are adapted to exploit individual advantages of each battery technology while maximising overall HESS lifetime.

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