scholarly journals Performance analysis of three port full bridge converter for hybrid photovoltaic/battery management system

2019 ◽  
Vol 23 (Suppl. 1) ◽  
pp. 79-89 ◽  
Author(s):  
Mehmet Senol
Keyword(s):  
Performance Analysis ◽  
Management System ◽  
Operating Conditions ◽  
Experimental Result ◽  
Battery Management System ◽  
Battery Management ◽  
Solar Pv ◽  
Pv System ◽  
Point Tracking ◽  
Pv Panel

In this paper, performance analysis of three port full bridge converter based hybrid photovoltaic (PV)/battery management system is explained. The overall control system of the three port full bridge converter based PV/battery management system is created and simulated using MATLAB. Maximum power point tracking of solar PV system is controlled by perturb and observe method. Load regulation of PV/ battery management system is controlled by phase shift pulsewidth modulation technique. The system is tested for various real time operating conditions of the power system such as variation of PV panel voltage, change of battery voltage, and change of load power. The experimental verification also is carried out for developed system. Finally, simulation result and experimental result are compared for the developed system.

Fuzzy Logic-based Battery Management System for Solar-Powered Li-Ion Battery in Electric Vehicle Applications

2020 ◽  
pp. 2150043
Author(s):  
P. Justin Raj ◽  
V. Vasan Prabhu ◽  
K. Premkumar
Keyword(s):  
Fuzzy Logic ◽  
Management System ◽  
Lithium Ion ◽  
Battery Management System ◽  
Solar Photovoltaic ◽  
Battery Management ◽  
Solar Pv ◽  
Battery System ◽  
Flyback Converter ◽  
Solar Powered

This paper presents the solar powered charging control of lithium-ion battery. The flyback converter is used to extract the maximum power from the solar photovoltaic (PV) array and charge the battery. This paper also presents the fuzzy logic-based battery management system to protect the batteries due to overcharging and over-discharging conditions. The proposed method is designed and developed in the MATLAB/Simulink platform. Solar PV powered battery system is tested for step change in irradiance conditions and corresponding results are measured and analyzed. The effectiveness of the fuzzy logic-based battery management system is also presented. The simulation model for BMS technique has overall efficiency of 95.1%. In order to verify the effectiveness of the proposed system, experimental verification of the proposed method is implemented in real time and compared with simulation results.

scholarly journals Extreme Power Point Tracking to Yield Maximum Power in Solar Grid System

2018 ◽  
Vol 7 (2.32) ◽  
pp. 459
Author(s):  
D Seshi Reddy ◽  
G S.S.susmitha ◽  
N Yamini ◽  
N Yashwanth
Keyword(s):  
Operating Conditions ◽  
Maximum Power ◽  
Operating Voltage ◽  
Solar Pv ◽  
Pv System ◽  
Power Extraction ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Wide Range ◽  
Power Point

To minimize power losses by limiting maximum feed-in power in a PV system. By this, we can get a stable powergenerationoperation. There are currently two types of charge controllers commonly used in Solar PV grid connected power system, (i) PWM (pulse width modulation) & MPPT (Maximum Power Point Tracking). Present solar inverter are not performing good yielding for wide range of irradiance and temperature. In this paper, MPPT adoption target to improve the performance when solar cell temperature varies from moderate to maximum from 450C to 750C. We used modified Perturb and Observation P&O MPPT technique, because it modifies the operating voltage or current of PV panel until we get maximum power extraction at wide range of operating conditions. Another technique opted in this paper, PWM charge controller is a good low cost solution for small capacity inverters only. In DC - DC converter switching strategy such that optimizes charge distribution between the battery bank or utility grid. In this we use only voltage sensor at PV array along with irradiance and temperature inputs and same had simulated in MATLAb2017a environment. The results obtained are satisfactory with consistant performance for wide range of temperature.  

Low-Power Design for Battery Management System

2012 ◽  
Vol 588-589 ◽  
pp. 773-776
Author(s):  
Shuo Li ◽  
Xiao Jun Liu ◽  
En Qing Dong ◽  
Xiao Chao Xiao
Keyword(s):  
Low Power ◽  
Circuit Design ◽  
Management System ◽  
Low Power Design ◽  
Experimental Result ◽  
Battery Management System ◽  
Battery Management ◽  
Li Ion Battery ◽  
Temperature Parameter ◽  
Li Ion

This paper designs a Battery Management System (BMS) based on MCU C8051F350 for 4 series Li-ion battery. It implements the functions of battery pack charge and discharge protection, status display, voltage, current and temperature parameter acquisition and accomplishing RS232 communication between MCU and PC. The analysis of the low-power processing is focused on in the circuit design process. Experimental result shows that this design can reduce power consumption of BMS effectively.

Development of prototype battery management system for PV system

2022 ◽  
Vol 181 ◽  
pp. 1294-1304
Author(s):  
Kamil Okay ◽  
Sermet Eray ◽  
Aynur Eray
Keyword(s):  
Management System ◽  
Battery Management System ◽  
Battery Management ◽  
Pv System

scholarly journals A SINGLE LC TANK BASED ACTIVE VOLTAGE BALANCING CIRCUIT FOR BATTERY MANAGEMENT SYSTEM

2018 ◽  
Vol 19 (1) ◽  
pp. 158-167 ◽  
Author(s):  
AKM AHASAN HABIB ◽  
S.M.A Motakabber ◽  
MUHAMMAD IBN IBRAHIMY ◽  
AHM Zahirul Alam
Keyword(s):  
Management System ◽  
High Speed ◽  
Energy Utilization ◽  
Experimental Result ◽  
Operating Voltage ◽  
Battery Management System ◽  
Battery Management ◽  
Compact Structure ◽  
Voltage Balancing ◽  
Lc Tank

A single series resonant converter has been designed to balance the voltage level of nowadays, battery operated vehicles and machine power tools are becoming popular due to their simple and compact structure, low operating and maintenance costs, moreover renewable energy utilization facility etc. In order to obtain the necessary operating voltage and current of these devices, many electric cells are combined together in series and parallel combination. A series battery balancing circuit can be used to improve the efficiency of each cell charging and discharging process and consequently increase the lifespan of it. A battery management system (BMS) needs an efficient balancing circuit. This paper presents a high-speed single LC-tank DC to DC converter based electric cell balancing schemes. Since the supercapacitors are equivalent of rechargeable battery; in this research two supercapacitors have been used instead of rechargeable batteries. The voltage balance has been maintained by charging and discharging the supercapacitors through a single LC-tank circuit. As a result, the overall voltage balancing time has been reduced and improved the circuit performance. Experimental result shows that the proposed balancing circuit can reduce the voltage difference between the two supercapacitors from 350 mV to 0 V in 284 seconds, which is less time than the existing system.

scholarly journals Solar Power Generation System for the Canadian Space Agency STRATOS Program

2021 ◽  
Vol 239 ◽  
pp. 00006
Author(s):  
Amine Doulfikar ◽  
Ian Cabales ◽  
Akash Hossan ◽  
Jeff Bloemink ◽  
Pooya Taheri
Keyword(s):  
Power Generation ◽  
Power Distribution ◽  
Solar Power ◽  
Battery Management System ◽  
Battery Management ◽  
Solar Pv ◽  
Solar Panels ◽  
Weight Restrictions ◽  
Solar Power Generation ◽  
Point Tracking

This paper discusses the design and application of solar photovoltaics (PV) under aerospace conditions. The application of solar PV that is addressed is the Power Distribution Unit (PDU) for the Canadian Space Agency’s (CSA) stratospheric balloon (STRATOS) program. The PDU utilizes four 1 kWh Battery Unit (BUs) that have been sized with volume and weight restrictions in mind. Without the capacity to provide enough energy to support multi-day missions, they are thus supplemented by the solar power generation subsystem presented in this paper. The power generation sub-system includes a bespoke solar panel design and a centralized Maximum Power Point Tracking (MPPT) power conversion unit to maximize the power output of solar panels. The centralized unit can accommodate up to eight solar panels, each consisting of nine individual C60 SunPower solar cells. The centralized MPPT unit consists of two MPPT controllers, each controller supporting up to four solar panels. The MPPT unit is modular and can be easily integrated to the CSA’s existing intelligent Battery Management System (BMS).

An Investigation of Temperature Measurement Granularity Towards Improving Li-Ion Battery Management System Design

2019 ◽  
Author(s):  
Mehrdad Zandigohar ◽  
Nima Lotfi
Keyword(s):  
System Design ◽  
Management System ◽  
Operating Conditions ◽  
Battery Pack ◽  
Battery Management System ◽  
Battery Management ◽  
Li Ion Batteries ◽  
Li Ion Battery ◽  
Fault Detection And Identification ◽  
Li Ion

Abstract Li-ion batteries have gained increased popularity in the past few decades as the main source in various mobile and stationary energy storage applications. Battery management system design, especially fault diagnosis, however, is still a challenge regarding Li-ion batteries. Traditional Li-ion BMSs rely on measurements from current, voltage, and temperature sensors sparsely located throughout the battery pack. Such a BMS is not capable of predicting battery behavior under various operating conditions; moreover, it cannot account for internal discrepancies among battery cells, incipient faults, the distributed nature of battery parameters and states, and the propagation effects inside a battery pack. Although majority of these effects have already been observed and reported, they are either studied in electrochemistry laboratories using in-situ techniques and detailed theoretical analysis or in practical manufacturing settings by engineers and technicians, which are typically considered proprietary information. The aim of this paper is to bridge the gap between these two domains. In other words, a detailed electrochemical/thermal simulation of a Li-ion battery cell under healthy and faulty conditions is performed to provide a better understanding of the exact spatial requirements for an efficient and reliable thermal management system for Li-ion batteries. The results of this study are specifically of great importance for battery fault detection and identification, mainly due to the recent advancements in distributed sensing technologies such as fiber optics.

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