Extending Battery System Operation via Adaptive Reconfiguration

Extending Battery System Operation via Adaptive Reconfiguration
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DOI:
10.1145/3284556
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发表时间:
2019-01
期刊:
ACM Transactions on Sensor Networks (TOSN)
影响因子:
--
通讯作者:
Liang He;L. Kong;Y. Gu;Cong Liu;T. He;K. Shin
Liang He;L. Kong;Y. Gu;Cong Liu;T. He;K. Shin
中科院分区:
其他
文献类型:
--
作者:
Liang He;L. Kong;Y. Gu;Cong Liu;T. He;K. Shin

文献摘要

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大型电池组通常用于诸如电动车辆(EV)和智能电网的应用中。传统上,为了向负载提供稳定的电压,使用电压调节器将电池组的输出电压转换为负载所需的水平,从而导致功率损耗,特别是当供应电压与所需电压之间的差异较大或负载较轻时。在本文中,我们通过电池系统的重新配置框架来解决这个问题。通过抽象的电池系统作为一个细胞图,我们开发了一个自适应的重新配置算法,以确定所需的系统配置的基础上,实时负载的要求。我们的设计是通过基于原型的实验,电动汽车驾驶轨迹为基础的仿真,和大规模的模拟评估。结果表明,系统运行时间延长了5倍,特别是在面临严重的电池不平衡时。
Large-scale battery packs are commonly used in applications such as electric vehicles (EVs) and smart grids. Traditionally, to provide stable voltage to the loads, voltage regulators are used to convert battery packs’ output voltage to those of the loads’ required levels, causing power loss especially when the difference between the supplied and required voltages is large or when the load is light. In this article, we address this issue via a reconfiguration framework for the battery system. By abstracting the battery system as a cell graph, we develop an adaptive reconfiguration algorithm to identify the desired system configurations based on real-time load requirements. Our design is evaluated via both prototype-based experiments, EV driving trace-based emulations, and large-scale simulations. The results demonstrate an extended system operation time of up to 5×, especially when facing severe cell imbalance.