Abstract
Lithium-based rechargeable battery modules are widely used in Electric vehicles (EV), which are likely to become the primary method of transportation in the coming years. EVs are major actors due to their zero emissions of dangerous gases and increased energy efficiency. Lithium batteries should be examined and adjusted regularly to maintain the EV system's safety, productivity, and reliability. Due to a large number of battery cells in EVs, a battery management system (BMS) is required. An EV's battery should be ready to provide both long-lasting power and high energy. The BMS makes decisions based on measurable parameters. Battery resistivity, volume, the status of charge estimation (SoC), state of health (SoH), power declining, and remaining useful life can all be predicted by employing three non-invasive battery measurements like the voltage, current, and temperature. This article is about a low-cost, high-performance BMS. The paper aims to design a cost-effective BMS without compromising its performance. MATLAB is used to simulate and test the suggested design.
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