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SOH Estimation of LMO/NMC-based Electric Vehicle Lithium-Ion Batteries Using the Incremental Capacity Analysis Technique

机译:基于增量容量分析技术的基于LMO / NMC的电动汽车锂离子电池的SOH估算

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The implementation of an accurate but also low computational demanding state-of-health (SOH) estimation algorithm represents a key challenge for the battery management systems in electric vehicle (EV) applications. In this paper we investigate the suitability of the incremental capacity analysis (ICA) technique for estimating the capacity fade and subsequently the SOH of LMO/NMC-based EV Lithium-ion batteries. Based on ageing results collected during eleven months of testing, we were able to accurately relate the capacity fade of the studied batteries to the evolution of the voltage value, which corresponds to one of the incremental capacity (IC) valleys, obtained using the ICA technique.
机译:对于电动汽车(EV)应用中的电池管理系统而言,准确而又计算量少的健康状态(SOH)估计算法的实现提出了关键挑战。在本文中,我们研究了增量容量分析(ICA)技术用于评估基于LMO / NMC的EV锂离子电池的容量衰减以及随后的SOH的适用性。根据在十一个月的测试中收集到的老化结果,我们能够准确地将所研究电池的容量衰减与电压值的变化相关联,电压值的变化对应于使用ICA技术获得的增量容量(IC)谷值之一。

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