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Evaluating the Degradation Mechanism and State of Health of LiFePO 4 Lithium-Ion Batteries in Real-World Plug-in Hybrid Electric Vehicles Application for Different Ageing Paths

机译:在不同老化路径下的实际插电式混合动力电动汽车中,LiFePO 4锂离子电池的降解机理和健康状况评估

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Accurate determination of the performance and precise prediction of the state of health (SOH) of lithium-ion batteries are necessary to ensure reliability and efficiency in real-world application. However, most SOH offline studies were based on dynamic stress tests, which only reflect the universal rule of degradation, but are not necessarily applicable for real-world applications. This paper presents an experimental evaluation of two different operations of real-world plug-in hybrid electric vehicles with LiFePO 4 batteries as energy-storage systems. First, the LiFePO 4 batteries were subjected to a set of comparative experimental tests that consider the effects of charge depleting (CD) and charge sustaining (CS) operations. Then, different voltage analysis along with the close-to-equilibrium open circle voltage was utilized to evaluate the performance of the batteries in life cycles. Finally, a qualitative relationship between the external factors (the percentage of time of CD/CS operations during the entire driving range) and the degradation mechanism was built with the help of the proposed methods. Results indicated that the external factors affect the degree of the batteries degradation, but not up to the point when the capacity fading stage occurs. This relationship contributes to the foundation for plug-in hybrid electric vehicles’ (PHEVs’) energy management strategy or battery management system control strategy.
机译:锂离子电池性能的准确确定和健康状态(SOH)的精确预测对于确保在实际应用中的可靠性和效率是必需的。但是,大多数SOH离线研究都是基于动态应力测试,这些测试仅反映了退化的普遍规律,但不一定适用于实际应用。本文介绍了使用LiFePO 4电池作为储能系统的现实世界插电式混合动力汽车的两种不同操作的实验评估。首先,对LiFePO 4电池进行了一组对比实验测试,这些实验考虑了电荷耗尽(CD)和电荷维持(CS)操作的影响。然后,利用不同的电压分析以及接近平衡的开环电压来评估电池在生命周期中的性能。最后,借助所提出的方法,建立了外部因素(在整个行驶范围内CD / CS操作时间的百分比)与降级机制之间的定性关系。结果表明,外部因素影响电池的退化程度,但没有达到容量衰减阶段发生的程度。这种关系为插电式混合动力汽车(PHEV)的能源管理策略或电池管理系统控制策略奠定了基础。

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