Validation Analysis of a Distributed Battery Management System Implementation : Invited Paper

F. Quiñones, Julián Goinhex, Nicolás Calarco
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Abstract

In this work, a hardware implementation of a distributed Battery Management System was carried out. This hardware is formed by a current and voltage monitor, a SD card, and a microcontroller, in which a remaining discharge time prediction algorithm based on an extended Kalman filter was programmed. The Kalman filter estimates the state of charge and another dynamic variable that allow to use the Lambert function to find the remaining discharge time from the end-of-discharge voltage value. By using a commercial battery, the performance of the algorithm was evaluated at different discharge rates. The experimental results show that the proposal is suitable to be implemented on a embedded system or integrated into an application specific integrated circuit to be coupled in a battery pack.
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分布式电池管理系统实现的验证分析:特邀论文
在本工作中,进行了分布式电池管理系统的硬件实现。该硬件由电流和电压监测器、SD卡和微控制器组成,其中编写了基于扩展卡尔曼滤波的剩余放电时间预测算法。卡尔曼滤波器估计电荷状态和另一个动态变量,允许使用兰伯特函数从放电结束电压值中找到剩余的放电时间。以商用电池为例,对该算法在不同放电速率下的性能进行了评估。实验结果表明,该方案可以在嵌入式系统上实现,也可以集成到特定应用的集成电路中耦合到电池组中。
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