scholarly journals Comparison Study of Battery & Supercapacitor Standalone Storage System Based Light Electric Vehicle Using MATLAB/SIMULINK

2021 ◽  
Vol 9 (12) ◽  
pp. 1071-1082
Author(s):  
Praveen Vankadari
Keyword(s):  
Energy Storage ◽  
Electric Vehicle ◽  
Control Strategies ◽  
Storage System ◽  
Energy Storage System ◽  
Bldc Motor ◽  
Ic Engine ◽  
Matlab Simulink ◽  
Transportation Sector ◽  
Acceleration And Deceleration

Abstract: Because of rising air pollution and finite oil supplies, the transportation sector is transitioning from IC engine vehicles (ICEV) to EV (Electric Vehicle). However, because of the constraints imposed by the energy storage, there are still some questions about EV's performance and dependability. In our proposed system, a comprehensive analysis has been carried out on a Light EV configuration having a propulsion system driven by a BLDC motor supplied by a Energy storage system (ESS) consisting of a Battery or Supercapacitor. To gain an understanding of the electric vehicle driving dynamics, it is first simulated based on fundamental knowledge about electric vehicles. Then each component and their modelling with control strategies are developed to get a clear picture of the computation of various constraints in EV during its operation. Later parts of this study are dedicated to examining their energy and power management during the acceleration and deceleration phases of the vehicle for battery and supercapacitor standalone operations separately with their key results tabulated using MATLAB/Simulink. Keywords: EV (Electric Vehicle), BLDC motor, Energy storage system, Battery, Supercapacitor, Energy Management System.

The Simulation Study of Pure Electric Vehicle with Dual-Energy Storage System Based on Matlab/Simulink

2013 ◽  
Vol 437 ◽  
pp. 213-216
Author(s):  
Shuang Du ◽  
Chun Cheng Zuo
Keyword(s):  
Energy Storage ◽  
Electric Vehicle ◽  
Control Strategy ◽  
Storage System ◽  
Simulation Models ◽  
Energy Storage System ◽  
Dual Energy ◽  
Matlab Simulink ◽  
Fuzzy Control Strategy ◽  
Ultra Capacitor

Through matlab/simulink, the simulation models of Pure Electric Vehicle (PEV) with Dual-Energy Storage System (DESS) composed of batteries and ultra-capacitor are established. The paper designs the fuzzy control strategy for DESS and puts PEV with DESS and PEV with Single-Energy Storage System (SESS) state of capacity (SOC) of batteries comparison. Also it analyses advantages and prospects of development for PEV with DESS.

scholarly journals Stratification Analysis and Behaviour of a Real Industrial Thermocline Thermal Energy Storage Tank for Cogeneration Purposes

Processes ◽  
2021 ◽  
Vol 9 (1) ◽  
pp. 120
Author(s):  
Francisco Fernández ◽  
José Díaz ◽  
María Folgueras ◽  
Inés Suárez
Keyword(s):  
Energy Storage ◽  
Thermal Energy ◽  
Thermal Energy Storage ◽  
Control Strategies ◽  
Storage System ◽  
Good Control ◽  
Energy Storage System ◽  
Temperature Gradients ◽  
Operation Conditions ◽  
Mean Temperature

Thermal energy storage systems help to couple thermal energy generation and process demand in cogeneration facilities. One single deposit with two design temperatures and one main temperature step in sensible thermal energy storage define the thermocline systems. Performance of one high size real thermocline thermal energy storage system is analysed. Starting from temperature and mass flow rate data registered by the plant control system, one advanced thermodynamic analysis is performed. The quality of heat storage is analysed in terms of evaluation of the stratification in the thermocline zone. The temperature data registered at 21 positions is extended by displacement analysis generating detailed profiles. Fraction of recoverable heat, thermocline width, stratification indices based on energy and exergy analysis, and mean temperature gradients in the thermocline region are calculated. These parameters are monitored under real operation conditions of the plant. The calculated parameters are studied to check their distribution and correlation. First and Second Law indices show parallel behaviour and two values are found that delimit situations of high and low values of mean temperature gradients. It was observed that buoyancy generates uniform forced movement with the right water temperature entering the diffusers, but good control strategies are essential to avoid mixing. The system demonstrated great stability in this use.

Intelligent Temperature Controller for Energy Storage System in Electric Vehicle Applications

2021 ◽  
Author(s):  
Musfika Mannan ◽  
Ali Q. Al-Shetwi ◽  
S. Fitriah Nor ◽  
M A Hannan ◽  
Ker Pin Jern ◽  
...  
Keyword(s):  
Energy Storage ◽  
Electric Vehicle ◽  
Storage System ◽  
Energy Storage System ◽  
Temperature Controller

scholarly journals Damping Optimum-Based Design of Control Strategy Suitable for Battery/Ultracapacitor Electric Vehicles

Energies ◽  
2018 ◽  
Vol 11 (10) ◽  
pp. 2854 ◽  
Author(s):  
Danijel Pavković ◽  
Mihael Cipek ◽  
Zdenko Kljaić ◽  
Tomislav Mlinarić ◽  
Mario Hrgetić ◽  
...  
Keyword(s):  
Control System ◽  
Energy Storage ◽  
Electric Vehicle ◽  
Storage System ◽  
Energy Storage System ◽  
Hybrid Energy ◽  
Hybrid Energy Storage ◽  
Hybrid Energy Storage System ◽  
Dc Bus ◽  
Upper Level

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.

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