Abstract
In battery management systems of electric vehicles, the estimation of parameters such as state of charge (SoC) and state of health (SoH) of a battery plays a very important role in preventing battery failure and preserving its life. In this study, a battery state of health estimation and real-time monitoring for electric vehicle batteries were made using the STM32F4 microcontroller, and a novel battery management system was proposed. In the proposed system, the Thevenin equivalent model of the battery is simulated in MATLAB Simulink by applying a Kalman filter, and the results are programmed in LabVIEW real-time software. Also in the study, a graphical driver interface (GDI) was created using the UDP protocol. With the GDI, a real-time monitoring and battery replacement warning can be received.
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Kilic, E., Bayindir, R., Ayik, S. (2021). Real-Time Monitoring with Labview of the Battery Management System and the Estimated Electric Vehicle Battery SoH. In: Dash, S.S., Panigrahi, B.K., Das, S. (eds) Sixth International Conference on Intelligent Computing and Applications . Advances in Intelligent Systems and Computing, vol 1369. Springer, Singapore. https://doi.org/10.1007/978-981-16-1335-7_50
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DOI: https://doi.org/10.1007/978-981-16-1335-7_50
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