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Battery Battery Management Systems (BMS) are integrated control infrastructures developed to ensure safety, efficiency, and life optimization in multicell battery configurations. These systems play a critical role in numerous applications including electric vehicles (HOUSE), energy storage systems (ESS), industrial power applications, and portable electronic devices like. The performance of these systems largely depends on the characteristic properties of the monitored cells; accordingly, the control algorithms developed in this thesis are configured on an Aspilsan INR18650A28 model lithium-ion cell, taking into account parameters that directly affect system efficiency. cell
Cell voltage is a direct parameter that provides information on the battery’s state of charge (State of Charge – SOC), state of health (State of Health – SOH), and overall performance. It is also critical for identifying cell-to-cell imbalances and preventing overcharge or overdischarge risks.
Voltage measurement is typically performed using multichannel analog-to-digital converters (ADCs) connected to the cell terminals. These integrated circuits periodically sample cell voltages and convert them into digital signals for transmission to microcontrollers.

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