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Relative Entropy based Lithium-ion Battery Pack Short Circuit Detection for Electric Vehicle

机译:基于相对熵的电动汽车锂离子电池组短路检测

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The thermal runaway of an electric vehicle (EV) battery can cause severe loss of property and human life. A cell short circuit can lead to thermal runaway in a minutes. Therefore, battery short circuit detection systems are important for prevention and limitation of EV fire incidents. This paper proposes a short circuit detection and isolation method for lithium-ion battery packs based on relative entropy. The proposed data-driven method can identify the voltage drop behavior caused by the short circuit. It is verified using real-world data measured from electric vehicles which experienced thermal runaway causing a fire incident. The relative entropy method can recognize the data pattern in real time and give a short circuit alarm to the driver.
机译:电动汽车(EV)电池的热失控会导致严重的财产损失和人员生命损失。电池短路会在几分钟内导致热失控。因此,电池短路检测系统对于预防和限制EV火灾事故很重要。提出了一种基于相对熵的锂离子电池组短路检测与隔离方法。所提出的数据驱动方法可以识别由短路引起的电压降行为。使用从经历热失控引起火灾的电动汽车上测得的真实世界数据对它进行验证。相对熵方法可以实时识别数据模式,并向驾驶员发出短路警报。

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