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Thermo-Electric Characterization of Lithium-Ion Batteries for Photovoltaic-Assisted Electric Vehicle Applications | ||
| Journal of Solar Energy Research | ||
| مقالات آماده انتشار، پذیرفته شده، انتشار آنلاین از تاریخ 19 خرداد 1405 | ||
| نوع مقاله: Research Article | ||
| شناسه دیجیتال (DOI): 10.22059/jser.2026.408359.1689 | ||
| نویسندگان | ||
| Vijayageetha V* 1؛ Shanmugavadivoo N2؛ Sivasankar G3 | ||
| 1Department of EEE,Thiagarajar college of engineering,Madurai,Tamil Nadu,India. | ||
| 2Department of EEE,Thiagarajar college of engineering,Madurai,Tamil Nadu, India | ||
| 3Department of EEE,Thiagarajar college of engineering , Madurai,Tamil Nadu,India | ||
| چکیده | ||
| Electric vehicles play a significant role in supporting renewable energy systems, and battery safety is a major concern during fast charging. To maintain the optimal temperature of the battery, efficient battery monitoring is vital in ensuring safe, efficient, and reliable operation. This paper presents a real-time electro-thermal characterization of a lithium-ion battery charged at controlled charging conditions on a battery simulator, and temperature distribution was continuously monitored using a Thermal camera. From experimental results, the temperature reached 77 °C at 1C which is higher than 38 °C at 0.25C slow charging resulted in more heating occurring at the terminal-connector region rather than the battery surface. The electro-thermal characterization was carried out to determine the temperature variations at various charging loads. Thermocouple-based validation was observed under solar-assisted photovoltaic charging to ensure the accuracy and reliability of temperature measurements. To enhance the accuracy of the measurements taken, the changes in temperature were examined by conducting a Monte Carlo uncertainty analysis. The statistical validation observed that the relationship between actual temperature readings and estimated ones, which is observed in the low error values (Root Mean Square Error (RMSE) = 0.34°C, Mean Absolute Error (MAE) = 0.32°C, and percentage error between 3.25% and 6.58%). | ||
| کلیدواژهها | ||
| Thermal Imaging؛ Battery Simulator؛ C-rate Charging؛ Hot-spot analysis؛ Photo voltaic | ||
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آمار تعداد مشاهده مقاله: 15 |
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