Battery State-of-Health (SOH) Estimation

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课程简介

University of Colorado System

课程大纲

As battery cells age, their total capacities generally decrease and their resistances generally increase. This week, you will learn WHY this happens. You will learn about the specific physical and chemical mechanisms that cause degradation to lithium-ion battery cells. You will also learn why it is relatively simple to estimate and track changes to resistance, but why it is difficult to track changes to total capacity accurately.

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In this course, you will learn how to implement different state-of-health estimation methods and to evaluate their relative merits. By the end of the course, you will be able to: - Identify the primary degradation mechanisms that occur in lithium-ion cells and understand how they work - Execute provided Octave/MATLAB script to estimate total capacity using WLS, WTLS, and AWTLS methods and lab-test data, and to evaluate results - Compute confidence intervals on total-capacity estimates - Compute estimates of a cell’s equivalent-series resistance using lab-test data - Specify the tradeoffs between joint and dual estimation of state and parameters, and steps that must be taken to ensure robust estimates (honors)

电池健康状态(SOH)估计:在本课程中,您将学习如何实施不同的健康状态估计方法并评估其相对优点。在课程结束时,您将能够: -确定锂离子电池中发生的主要降解机理,并了解其工作原理 -执行提供的Octave / MATLAB脚本,以使用WLS,WTLS和AWTLS方法以及实验室测试数据估算总容量,并评估结果 -计算总容量估计值的置信区间 -使用实验室测试数据计算电池等效串联电阻的估算值 -指定状态和参数的联合和双重估计之间的权衡,以及确保稳健估计(荣誉)必须采取的步骤

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