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Fault Detection Design and Simulation Based on Battery Modelling
DOI:10.1063/1.4958526.png)
摘要
En 中文
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.
Keyword:
CHARGE ESTIMATION
STATE
AI总结
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期刊
S
IF:
1.9
论文数:
34
被引数:
562
机构
引用论文
State of charge estimation for Li-ion batteries using neural network modeling and unscented Kalman filter-based error cancellation基于神经网络建模和无迹卡尔曼滤波误差消除的锂离子电池荷电状态估计
A Hybrid Battery Model Capable of Capturing Dynamic Circuit Characteristics and Nonlinear Capacity Effects一种能够捕捉动态电路特性和非线性容量效应的混合电池模型
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