Buswig, Yonis.M.Yonis and Qays, Ohirul and Affam, Azuka and Hani, Albalawi and Norhuzaimin, Julai and Al-Khalid, Othman and Sim, Sy Yi (2020) Designing a control system based on SOC estimation of BMS for PV-Solar system. INTERNATIONAL JOURNAL OF INTEGRATED ENGINEERING, 12 (6). pp. 148-157. ISSN 2229-838X
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Abstract
One of the major challenges forbattery energy stowage system is to design a supervisory controller whichcan yield high energy concentration, reducedself-discharge rate and prolong the battery lifetime. A regulatory PV-Battery Management System (BMS) based State of Charge (SOC) estimation is presented in this paper that optimally addresses the issues. The proposed control algorithm estimates SOC by Backpropagation Neural Network (BPNN) scheme and utilizesthe Maximum Power PointTracking(MPPT)schemeof the solar panels to take decision for charging, discharging or islanding mode of the Lead-Acid battery bank. A case study(SOC estimation) is demonstrated as well to depictthe efficiency(Error 0.082%) of the proposed modelusing real time data. The numerical simulation structured through real-time information concedes that the projected control mechanismis robust and accomplishes several objectives of integratedPV-BMS for instance avoiding overcharging and deep discharging manner under different solar radiations
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | BMS, SOC estimation, BPNN, PV, unimas, university, universiti, Borneo, Malaysia, Sarawak, Kuching, Samarahan, ipta, education, research, Universiti Malaysia Sarawak |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Divisions: | Academic Faculties, Institutes and Centres > Faculty of Engineering Faculties, Institutes, Centres > Faculty of Engineering |
| Depositing User: | Yonis Buswig |
| Date Deposited: | 12 Nov 2020 07:02 |
| Last Modified: | 12 Nov 2020 07:03 |
| URI: | http://ir.unimas.my/id/eprint/32720 |
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