基于电化学模型的锂离子电池等效电路参数表示改进方法

Chalukya Bhat, Janamejaya Channegowda, S. Chaudhari, Kali Naraharisetti
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摘要

锂离子电池是当今大多数消费电子产品的主要动力来源。充电状态(SOC)的估计是电池可用电量的一个指标,对于确定设备的可用工作时间至关重要。SOC对于估计电动汽车的可用里程至关重要。大多数涉及电池的计算使用等效电路集总模型进行计算,这些模型是不准确的,因为它们不能捕获电池的完整电化学动力学。本文采用考虑电解质行为的单粒子模型来估计等效电路参数。该方法在提高SOC估计精度的同时降低了计算复杂度。该方法中使用的电化学模型考虑了两个球对称扩散方程:一个在代表性负粒子内($\mathrm{k}=\mathrm{n}$),另一个在代表性正粒子内($\mathrm{k}=\mathrm{p}$),包括电解质方程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Improved Equivalent Circuit Parameter Representation of Lithium Ion Batteries Using Electrochemical Model Based Approach
Lithium ion batteries are the primary source of power for most of the consumer electronics today. Estimation of State-of-Charge (SOC), an indicator of available charge in a battery, is vital to determine available operational time of the device. SOC is crucial to estimate the available range in an electric vehicle. Most calculations involving batteries use an equivalent circuit lumped model for calculation purposes, these models are inaccurate as they do not capture the complete electrochemical dynamics of the cell. In this paper we employ Single Particle Model which considers electrolyte behaviour while estimating equivalent circuit parameters. The proposed approach improves SOC estimation accuracy while reducing computational complexity. The electrochemical model used in this approach takes into account two spherically symmetric diffusion equations: one within a representative negative particle ($\mathrm{k}=\mathrm{n}$) and one within a representative positive particle ($\mathrm{k}=\mathrm{p}$) including electrolyte equations.
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