The temperature of lithium-ion batteries rises linearly and is kept within a safe range by the battery management system during normal vehicle operation. However, if external factors or motor current exceeds the standard current limit for a short time, the battery temperature may rise exponentially. If the rate of temperature rises too high and exceeds 250 °C, it causes chemical reaction inside the battery, resulting in thermal discharge. The chemical reaction that occurs due to high temperature is irreversible and can quickly lead to fire, causing the electrical vehicle to go up in flames. An artificial Intelligence-based Battery Management System (BMS) can predict the rise in temperature, monitor safe current level, avoid thermal depletion of the battery, and warn the user. In this study, we propose a modification to the existing BMS to improve performance.
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