Akademik Veri Yönetim Sistemi
ANKARA International Congress on Scientific Research -IX, Ankara, Türkiye, 26 - 29 Aralık 2023, ss.2626-2636, (Tam Metin Bildiri)
ABSTRACT The concerns about global warming, the environmental damage caused by fossil fuels, goals related to reducing greenhouse gas emissions, rapid advancements in battery technologies, and other factors are increasing interest in electric vehicles (EVs) day by day. In this context, lithium-ion batteries, characterized by high energy density, fast charging, and discharging capabilities, have emerged as the primary energy storage source for electric vehicles. To ensure the efficient and safe operation of lithium-ion batteries, electronic control systems known as Battery Management Systems (BMS) are crucial. BMS continuously monitors key parameters such as voltage, current, temperature, and capacity, providing assessments of the battery's charge and health status. It prevents the battery from operating under adverse conditions, such as overcharging, over-discharging, high temperature, and excessive current, thereby preventing physical damage and premature aging. In series and/or parallel-connected battery systems, the BMS plays a critical role in achieving equal charge and discharge among batteries, maximizing energy utilization, and extending battery life. To test the functions of BMS, a battery energy storage system with a pack voltage of 44.4V and a capacity of 2900mAh is designed using the LTC6804-1 BMS development module. The LTC6804-01 BMS module is employed for monitoring and passively balancing battery cells. The battery pack consists of INR18650A28 cells with the code produced by ASPILSAN, configured in a 12S1P (12 series-1 parallel) arrangement. The DC590B USB converter module is employed for the system communication using the LTC6804-GUI software. Various charge and discharge currents are applied to the battery system, enabling the testing of cell voltage, temperature, current, cell balancing, and communication functions. This research offers a comprehensive examination of BMS functionalities, encompassing both theoretical analysis and experimental investigation.