Battery Performance Measurement System for Solar Cells Displayed Using A Web Application

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Napat Pattarapatya
Panutda Wongsa
Chanwit Musika
Chananate Arthayukti
Srisuda Sorranansri
Sathira Chaichanaklang

Abstract

This research was conducted to study the performance measurement of lithium-ion batteries for
solar cell systems and display them through a web application. They created two solar cell battery packs, each containing 7 lithium-ion batteries. A microcontroller was applied to measure the battery during charging and discharging. The measured data consists of voltage, current and temperature, which were used to calculate electrical power, state of charge, battery percentage and battery status. Data was stored on cloud storage. A web application was developed using Vue.JS to display results. The battery data measurement test results are accurate, and the notification of abnormal status for each battery cell is correct.

Article Details

How to Cite
Pattarapatya, N., Wongsa, P., Musika, C., Arthayukti, C., Sorranansri, S., & Chaichanaklang, S. . (2024). Battery Performance Measurement System for Solar Cells Displayed Using A Web Application. Journal of Science and Technology Rajamangala University of Technology Krungthep, 1(1). retrieved from https://li04.tci-thaijo.org/index.php/stjrmutk/article/view/solarcell
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References

กมลณิตย์ ภู่สร, บัณฑิต ตันบุญจิตต์ และอดุลย์ ทวินันท์, “การออกแบบโปรแกรมแสดงผลการวัดแบตเตอรี่สำหรับรถยนต์ไฟฟ้า”, ใน การประชุมวิชาการทางวิศวกรรมไฟฟ้า ครั้งที่ 44, จังหวัดน่าน, 17-19 พฤศจิกายน 2564, หน้า 812-815.

ศุภชัย สมอดิศร, ภพพล หล้าอ่อน, “ระบบควบคุมแบตเตอรี่ในรถไฟฟ้า”, ปริญญานิพนธ์ วศ.บ. (วิศวกรรมอิเล็กทรอนิกส์), สถาบันเทคโนโลยีพระจอมเกล้าเจ้าคุณทหารลาดกระบัง, กรุงเทพฯ, 2559.

S. Sampath, X. Yin, Z.W. Tham, Y.F. Chen, L. Zhang, "Real-time and non-contact estimation of state of charge for lithium-ion battery using laser ultrasonics", Journal of Power Sources, vol. 605, no. 234544, Jun. 2024.

G. Zubi, R.S. Adhikari, N.E. Sanchez, W.A. Bravo, "Lithium-ion battery-packs for solar home systems: Layout, cost and implementation perspectives", Journal of Energy Storage, vol. 32, no. 101985, Dec. 2020.

Y. Zheng, A. Shen, X. Han, M. Ouyang, "Quantitative short circuit identification for single lithium-ion cell applications based on charge and discharge capacity estimation", Journal of Power Sources, vol. 517, no. 230716, Jan. 2022.

M.R. Tsai, K.C. Chen, "One single polynomial function-based charge voltage curve and its application to estimate the states of lithium-ion batteries in series", Journal of Energy Storage, vol. 59, no. 106502, Mar. 2023.

A.K.M.A. Habib, M.D. Hasan, "Lithium-ion battery state-of-charge balancing circuit using single resonant converter for electric vehicle applications", Journal of Energy Storage, vol. 61, no. 106727, May 2023.

S. Meng, F. Meng, H. Chi, H. Chen, A. Pang, "A robust observer based on the nonlinear descriptor systems application to estimate the state of charge of lithium-ion batteries", Journal of the Franklin Institute, vol. 360, pp. 11397-11413, Nov. 2023.

H. Huang, C. Bian, M. Wu, D. An, S. Yang, "A novel integrated SOC-SOH estimation framework for whole-life-cycle lithium-ion batteries", Energy, vol. 288, no. 129801, Feb. 2024.