The need for a quick yet informative technique for diagnosing the lithium-ion batteries is escalating. Conventional impedance-based diagnosis methods are usually time-demanding for a complete electrochemical impedance spectroscopy measurement and involve complicated calculations to extract battery information, which therefore have limited applications in battery monitoring. In this study, we propose a multi-point impedance technique, involving impedance measurement on three characteristic frequency points and being able to separate ohmic, contact and solid electrolyte interphase resistances. The characteristic frequency points are calibrated using distribution of relaxation time method. This multi-point impedance technique holds potential for large-scale high-throughput battery monitoring and screening.

对用于诊断锂离子电池的快速而有用的技术的需求正在增长。常规的基于阻抗的诊断方法通常需要时间来完成完整的电化学阻抗谱测量，并且涉及复杂的计算以提取电池信息，因此在电池监控中的应用受到限制。在这项研究中，我们提出了一种多点阻抗技术，该技术涉及在三个特征频率点上进行阻抗测量，并且能够分离欧姆，接触和固体电解质的相间电阻。使用弛豫时间分布法对特征频率点进行校准。这种多点阻抗技术为大规模高通量电池监控和筛选提供了潜力。