1. Fault Detection Design and Simulation Based on Battery Modelling.
- Author
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Amifia, Lora Khaula, Widayat, Sigit Agung, Cahyadi, Adha Imam, and Wahyunggoro, Oyas
- Subjects
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ELECTRIC vehicles , *LITHIUM cells , *STORAGE batteries , *BATTERY management systems - Abstract
In electric vehicles, a lithium polymer battery is usually adopted as the main energy storage battery for charging and discharging processes. To manage the battery, Battery Management System (BMS) is needed in the effective and efficient way in order to assure the operation of an EV successful. Failure in the battery means failure in the whole system. In fact, most of the battery damage are found due to the failure of error detection on the battery's sensors or actuators. Therefore, it requires fault detection on the battery which can work accurately. In this research, the implementation of equivalent circuit models of Lithium Polymer batteries has been done in the Matlab Simulink model to determine the working limit of the voltage and current so that any fault can be detected and isolated, such as overcurrent and overvoltage. The simulation results show that the error detection can be done accurately so that the battery can work optimally. [ABSTRACT FROM AUTHOR]
- Published
- 2016
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