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Review on sensors fault diagnosis and fault-tolerant techniques for lithium ion batteries in electric vehicles

机译:电动汽车锂离子电池传感器故障诊断与容错技术综述

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Lithium ion batteries have been widely used in electric vehicles (EVs) due to their high power density, high energy density and long cycle life. Lithium ion battery systems in EVs require high voltage to meet power and energy demand. They consist of a large number of cells connected in series or parallel combination of both. A battery management system (BMS) is used to ensure safe and reliable operation of EV battery systems. The normal operation of the BMS highly depends on the installed sensors which provide the BMS the information of current, voltage and temperature for maintaining the battery systems in the safe working condition. Thus, it is critical for the BMS to diagnose these sensor faults and take measures to mitigate the influences of these sensor faults on the operation of EVs in real time. This paper will comprehensively review recent techniques for sensors fault diagnosis and tolerance for lithium ion batteries in EVs from the perspectives of model-based approaches.
机译:锂离子电池由于其高功率密度,高能量密度和长循环寿命而被广泛用于电动汽车(EV)。电动汽车中的锂离子电池系统需要高压才能满足功率和能量需求。它们由大量串联或并联组合的电池组成。电池管理系统(BMS)用于确保EV电池系统的安全可靠运行。 BMS的正常运行在很大程度上取决于所安装的传感器,这些传感器向BMS提供电流,电压和温度信息,以使电池系统保持在安全的工作状态。因此,BMS诊断这些传感器故障并采取措施减轻这些传感器故障对EV实时运行的影响至关重要。本文将从基于模型的方法的角度全面回顾电动汽车中锂离子电池传感器故障诊断和耐受性的最新技术。

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