AC Copper Losses Analysis of the Ironless Brushless DC Motor used in a Flywheel Energy Storage System

2016 ◽  
Vol 26 (7) ◽  
pp. 1-5 ◽  
Author(s):  
Kai Liu ◽  
Xinghe Fu ◽  
Mingyao Lin ◽  
Liuchen Tai
Keyword(s):  
Energy Storage ◽  
Storage System ◽  
Energy Storage System ◽  
Dc Motor ◽  
Brushless Dc Motor ◽  
Flywheel Energy Storage ◽  
Flywheel Energy Storage System ◽  
Brushless Dc ◽  
Copper Losses

Copper Losses and Rotor Losses Calculation for the BLDCM Used in a Flywheel Energy Storage System

2013 ◽  
Vol 416-417 ◽  
pp. 93-98
Author(s):  
Kai Liu ◽  
Jian Hui Hu ◽  
Ji Bin Zou ◽  
Fei Xu ◽  
Yong Li
Keyword(s):  
Energy Storage ◽  
Eddy Current ◽  
Storage System ◽  
Operation Mode ◽  
Energy Storage System ◽  
Flywheel Energy Storage ◽  
Eddy Current Losses ◽  
Flywheel Energy Storage System ◽  
Rotor Losses ◽  
Copper Losses

This paper presents a finite element investigation into the copper losses and rotor eddy current losses in brushless DC motors used in a flywheel energy storage system. The copper and rotor losses generate heat which needs to be dissipated in order to not exceed a defined temperature level for the magnet or winding insulation to avoid demagnetization or damage, which if it occurs will reduce the motor performance. The principle of operation and losses calculations are presented in the paper. The influences on the copper and eddy current losses are analyzed in detail, including the operation mode, the control strategy and the variation of the speed. Simulation and experimental results are presented and discussed.

scholarly journals Design of a Neural Super-Twisting Controller to Emulate a Flywheel Energy Storage System

Energies ◽  
2021 ◽  
Vol 14 (19) ◽  
pp. 6416
Author(s):  
Daniel A. Magallón ◽  
Carlos E. Castañeda ◽  
Francisco Jurado ◽  
Onofre A. Morfin
Keyword(s):  
Neural Network ◽  
Energy Storage ◽  
Storage System ◽  
Energy Storage System ◽  
Dc Motor ◽  
Flywheel Energy Storage ◽  
Flywheel Energy Storage System ◽  
Energy Feedback ◽  
Twisting Algorithm ◽  
Motor Velocity

In this work, a neural super-twisting algorithm is applied to the design of a controller for a flywheel energy storage system (FESS) emulator. Emulation of the FESS is achieved through driving a Permanent Magnet Synchronous Machine (PMSM) coupled to a shaft to shaft DC-motor. The emulation of the FESS is carried out by controlling the velocity of the PMSM in the energy storage stag and then by controlling the DC-motor velocity in the energy feedback stage, where the plant’s states of both electrical machines are identified via a neural network. For the neural identification, a Recurrent Wavelet First-Order Neural Network (RWFONN) is proposed. For the design of the velocity controller, a super-twisting algorithm is applied by using a sliding surface as the argument; the latter is designed based on the states of the RWFONN, in combination with the block control linearization technique to the control of the angular velocity from both machines in their respective operation stage. The RWFONN is trained online using the filtered error algorithm. Closed-loop stability analysis is included when assuming boundedness of the synaptic weights. The results obtained from Matlab/Simulink validate the performance of the proposal in the control of an FESS.

Design and Fabrication of a Micro Flywheel Energy Storage System With a High-Temperature Superconductor Bearing

2005 ◽  
Author(s):  
Bongsu Kim ◽  
Junseok Ko ◽  
Sangkwon Jeong ◽  
Seung S. Lee
Keyword(s):  
High Temperature ◽  
Energy Storage ◽  
High Temperature Superconductor ◽  
Storage System ◽  
Energy Storage System ◽  
Flywheel Energy Storage ◽  
Flywheel Energy Storage System ◽  
Brushless Dc ◽  
Pinning Effect ◽  
Halbach Array

A micro flywheel energy storage system with a high-temperature superconductor (HTS) bearing which is characterized by the diamagnetic effect and the flux pinning effect has been developed. The micro flywheel is made up of circumferential magnets for a motor/generator as well as concentric magnets for an HTS bearing and they are fitted into a 34-mm diameter and 3-mm thick aluminum disk. Mass and moment of inertia of the micro flywheel are 12.75 g and 1.84E−6 kgm2, respectively. For simplicity and miniaturization of the whole system, the micro flywheel directly takes torque from a planar stator, which consists of an axial flux type brushless DC motor/generator. The micro flywheel successfully rotated up to 38,000 rpm in vacuum condition as it is levitating above the stator with a gap of about 1 mm. However, there are some eddy current losses in the stator and non-axisymmetry in magnetic field causing large drag torque. In order to solve these problems, an improved magnet array in the flywheel including a Halbach array is proposed and 3D simulations have been conducted.

Nonlinear modeling and simulation of flywheel energy storage rotor system with looseness and rub-impact coupling hitch

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Zhu Youfeng ◽  
Liu Xinhua ◽  
Wang Qiang ◽  
Wang Zibo ◽  
Zang Hongyu
Keyword(s):  
Energy Storage ◽  
Differential Equations ◽  
Nonlinear Modeling ◽  
Storage System ◽  
Energy Storage System ◽  
Rotor System ◽  
Flywheel Energy Storage ◽  
Flywheel Energy Storage System ◽  
New Energy ◽  
Single Disk

Abstract Flywheel energy storage system as a new energy source is widely studied. This paper establishes a dynamic model of a single disk looseness and rub-impact coupling hitch flywheel energy storage rotor system firstly. Then dynamic differential equations of the system under the condition of nonlinear oil film force of the sliding bearing are given. Runge–Kutta method is used to solve the simplified dimensionless differential equations. The effect of variable parameters such as disk eccentricity, stator stiffness and bearing support mass on the system are analyzed. With the increase of eccentricity, the range of period-three motion is significantly reduced and the range of chaotic motion begins to appear in the bifurcation diagram. Meanwhile, stiffness of the stator and mass of the bearing support have a significant influence on the flywheel energy storage rotor system.

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