Thermal Fault Detection and Localization Framework for Large Format Batteries
Thermal Fault Detection and Localization Framework for Large Format Batteries
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DOI：
10.1016/j.jpowsour.2021.230400
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发表时间：
2021-03
期刊：
影响因子：
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通讯作者：
S. Sattarzadeh;Tanushree Roy;Satadru Dey
中科院分区：
文献类型：
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作者：
S. Sattarzadeh;Tanushree Roy;Satadru Dey
防止热故障的安全性在电池系统中至关重要。实时热诊断可以成为这种更安全电池的关键推动因素。与圆柱形电池相比，大规格袋式或棱柱形电池中的热故障诊断提出了额外的挑战。这些挑战源于以下事实：大规格电池中的温度分布本质上至少是二维的（沿着长度和宽度），而这种分布在圆柱形电池中可以在一维（沿着径向方向）上合理地近似。这种差异使得温度传感器的放置变得重要，并且检测算法的设计具有挑战性。在这项工作中，我们解决这些问题，提出了一个框架，（i）优化传感器的位置，以提高热故障的可检测性和可隔离性，和（ii）设计一个过滤方案的故障检测和定位的基础上的二维热模型。商业电池的实验和模拟研究所提出的框架说明。
Safety against thermal failures is crucial in battery systems. Real-time thermal diagnostics can be a key enabler of such safer batteries. Thermal fault diagnostics in large format pouch or prismatic cells pose additional challenges compared to cylindrical cells. These challenges arise from the fact that the temperature distribution in large format cells is at least two-dimensional in nature (along length and breadth) while such distribution can be reasonably approximated in one dimension (along radial direction) in cylindrical cells. This difference makes the placement of temperature sensor(s) non-trivial and the design of detection algorithm challenging. In this work, we address these issues by proposing a framework that (i) optimizes the sensor locations to improve detectability and isolability of thermal faults, and (ii) designs a filtering scheme for fault detection and localization based on a two dimensional thermal model. The proposed framework is illustrated by experimental and simulation studies on a commercial battery cell.