ORCID Profile
0000-0001-9182-4010
Current Organisations
University of Chittagong
,
Monash University
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Publisher: IEEE
Date: 10-2016
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2023
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 05-2023
Publisher: IEEE
Date: 11-2016
Publisher: Elsevier BV
Date: 08-2017
Publisher: AIP Publishing
Date: 03-2016
DOI: 10.1063/1.4944961
Abstract: Lithium-Ion (Li-Ion) batteries are commonly used as automobile energy storage systems for powering applications due to their lucrative features. However, a battery management system with in idual cell monitoring and balancing of Li-Ion batteries for long use and casualties' protection are still major issues in electric vehicle applications. This paper deals with the development of a voltage equalization control algorithm for in idual cell monitoring and balancing of series connected Li-Ion battery cells. The developed states and sequences of the control algorithm manage the whole processes of battery cell monitoring, charging, and discharging, respectively. A charge equalization model is implemented with series connected 10 Li-Ion battery cells utilizing the developed control algorithm. Results show that charging and discharging, and cell balancing performance of the control algorithm are capable of quickly responding to reach the state of charge difference of 2.5% among all cells, defending the existing anomaly, providing tolerable stress to components and operating at a higher efficiency of 84.9%.
Publisher: International Journal of Renewable Energy Research
Date: 2019
Publisher: Elsevier BV
Date: 03-2017
Publisher: AIP Publishing
Date: 11-2016
DOI: 10.1063/1.4967972
Abstract: This study presents a charging and discharging controller of a lithium-ion battery for charge equalization control of a battery storage system using the particle swarm optimization (PSO) algorithm. The charge equalization controller is designed using a bidirectional flyback DC–DC converter for exchanging the amount of energy from a battery series stack to an overdischarged cell to be charged and vice versa. The constant current–constant voltage charge proportional–integral (PI) control and discontinuous current mode control are applied to charge and discharge the lithium-ion battery on a flyback converter operation. This proposed system utilizes the PSO algorithm to optimize the values of the PI controller parameters. Optimization results produce the ideal values of the PI controller parameters with minimum error indices, thereby regulating the pulse-width modulation to the MOSFET switching drive of the flyback converter and upgrading the battery charge performance for charge equalization. The PSO algorithmic approach-based developed system is proven to be robust and competent for high-tech storage systems toward the advancement of sustainable electric vehicle technologies and renewable source of applications.
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2018
Publisher: MDPI AG
Date: 12-11-2019
DOI: 10.3390/ELECTRONICS8111335
Abstract: This paper presents the development of fuzzy-based inverter controller for photovoltaic (PV) application to avoid the nonlinearity characteristic and fluctuations of PV inverter output. The fuzzy-based controller algorithm is employed in the PV inverter control system to optimize the duty cycles of the insulated-gate bipolar transistors (IGBTs) and to enhance the inverter outputs with lower harmonic contents and unity power factor. The developed fuzzy-based PV inverter controller is implemented in the MATLAB/Simulink models and experimentally tested in a dSPACE DS1104 process controller. The obtained simulation result of the developed fuzzy-based PV inverter controller is validated with experimental results under different performance conditions. It is seen that the experimental results of the switching signals, inverter voltage and current, control parameters, and total harmonic distortion (THD) of load current and output voltage of the PV inverter are closely matched with that of the simulation results. To validate the inverter performance, the proposed fuzzy-based PV inverter controller outperforms other studies with a voltage THD of 2.5% and a current THD of 3.5% with unity power factor.
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2022
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2018
Publisher: Institution of Engineering and Technology (IET)
Date: 12-2017
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 05-2017
Publisher: MDPI AG
Date: 13-09-2017
DOI: 10.3390/EN10091390
Publisher: IEEE
Date: 09-2018
Publisher: IEEE
Date: 11-2015
Publisher: IEEE
Date: 09-2019
Publisher: American Scientific Publishers
Date: 06-2017
Publisher: Elsevier BV
Date: 12-2018
Location: Bangladesh
Location: Bangladesh
No related grants have been discovered for Md. Murshadul Hoque.