基于负载变化引起的弛豫过程分析的锂电池技术状态监测方法的实施特殊性

E. S. Denisov, G. Nikishina, R. Eniliev, T. Nikishin
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摘要

本文介绍了一种估算锂电池(LB)二阶电气模型参数的技术,该技术基于对锂电池对阶跃式负载变化的响应分析。这种方法的优点是使用简单紧凑的测量设备即可实现。考虑到最大锂电池负载的限制,在估算模型参数时,可以将非线性方程组的求解简化为线性代数方程组的求解。这一发现使得使用廉价的通用微控制器来实现这一方法成为可能。因此,本文提出了一种降低计算成本的方法,即用两个单指数模型顺序拟合实验弛豫曲线,而不是使用复杂的双指数模型。该方法将确定枸杞电模型参数的时间缩短了两倍多。实验研究表明,所获得的等效电路参数依赖关系可以用枸杞中发生的物理化学反应的一般特性来解释。从实用角度来看,所提出的方法具有很大的优势。首先,与电化学阻抗光谱法相比,它具有更好的时间定位能力。由于放电过程对结果的影响,这一优势对枸杞尤其重要。此外,诊断系统的响应时间也大大缩短。其次,建议的方法需要更简单、更便宜的测试设备,这使得在制造和开发阶段将控制集成到枸杞中成为可能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
IMPLEMENTATION PECULIARITIES OF METHOD FOR LITHIUM BATTERIES TECHNICAL STATE MONITORING BASED ON ANALYSIS OF RELAXATION PROCESSES CAUSED BY LOAD VARIATIONS
The paper describes a technique for estimating the parameters of the second-order electrical model of lithium battery (LB), based on the analysis of its response to a step-like load change. The advantage of this approach is the implementation with simple and compact measuring equipment. Taking into account the limitations for the maximum LB load, the solution of a system of nonlinear equations when estimating the model parameters can be reduced to solving a system of linear algebraic equations. This finding makes it possible to implement the approach with inexpensive general-purpose microcontrollers. Thus, the paper proposes a method for reducing computational costs, which consists in sequential fitting of experimental relaxation curves with two single-exponential models instead of using a complex two-exponential model. It provides more than twofold reduction in the time for identifying the parameters of the LB’s electrical model. The experimental studies show that the obtained dependences of the equivalent circuit parameters can be explained by the general properties of physicochemical reactions occurring in LB. From a practical point of view, the proposed method has great advantages. First, it has better time localization compared to electrochemical impedance spectrometry. This advantage is especially important for LB due to the effect of the discharge processes on the results. In addition, the response time of diagnostic systems is significantly reduced. Secondly, the proposed method requires simpler and more inexpensive test equipment, which potentially makes it possible to integrate controls into the LB at the manufacturing and exploitation stages.
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