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所在平台: Coursera |
课程主页: https://www.coursera.org/learn/battery-pack-balancing-power-estimation
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课程名称：电池组平衡与功率估算 概述：该课程可作为学分课程学习，课程代码为ECEA 5734，属于科罗拉多大学博尔德分校电气工程硕士学位的一部分。在本课程中，您将学习如何设计平衡系统以及计算电池组的剩余能量和可用功率。课程结束时，您将能够： - 评估不同的电池平衡设计选择，并阐明其相对优缺点 - 为简单的被动平衡电路设计元件值 - 使用提供的Octave/MATLAB模拟工具评估电池组需要平衡的速度 - 使用简单的电池单元模型计算剩余能量和可用功率 - 使用提供的Octave/MATLAB脚本，通过综合等效电路模型计算可用功率 课程大纲： 1. 被动平衡方法 - 描述：您将学习电池组为何自然失去平衡、一些平衡策略以及如何使用被动电路来平衡电池组。 2. 主动平衡方法 - 描述：主动平衡方法试图节省能量，您将了解主动平衡电路和方法，并学习如何编写Octave代码以确定电池组失去平衡的速度。 3. 使用简化电池模型计算可用功率 - 描述：您将复习HPPC功率限制方法，并学习如何扩展该方法以满足SOC、负载功率和电子电流的限制。 4. 使用综合电池模型计算可用功率 - 描述：我们将探索使用xKF输入和完整ESC电池模型的更准确方法，并学习如何在Octave中实现该方法。 5. 未来的电池管理系统算法 - 描述：介绍一些概念，以激励未来使用物理模型的电池管理系统算法，这些算法能够描述电池内部的物理过程。 6. 毕业设计项目 - 描述：该项目将探索选择开关电阻被动平衡系统的电阻值以及基于HPPC方法的功率限制方法的改进。 通过本课程的学习，您将全面掌握电池组的平衡技术与功率估算方法，为电池管理系统的发展奠定坚实的基础。
Name:Passive balancing methods for battery packs
Description:In previous courses, you learned how to write algorithms to satisfy the estimation requirements of a battery management system. Now, you will learn how to write algorithms for two primary control tasks: balancing and power-limits computations. This week, you will learn why battery packs naturally become unbalanced, some balancing strategies, and how passive circuits can be used to balance battery packs.
Name:Active balancing methods for battery packs
Description:Passive balancing can be effective, but wastes energy. Active balancing methods attempt to conserve energy and have other advantages as well. This week, you will learn about active-balancing circuitry and methods, and will learn how to write Octave code to determine how quickly a battery pack can become out of balance. This is useful for determining the dominant factors leading to imbalance, and for estimating how quickly the pack must be balanced to maintain it in proper operational condition.
Name:How to find available battery power using a simplified cell model
Description:This week, we begin by reviewing the HPPC power-limit method from course 1. Then, you will learn how to extend the method to satisfy limits on SOC, load power, and electronics current. You will learn how to implement the power-limits computation methods in Octave code, and will see results for a representative scenario.
Name:How to find available battery power using a comprehensive cell model
Description:The HPPC method, even as extended last week, makes some simplifying assumptions that are not met in practice. This week, we explore a more accurate method that uses full state information from an xKF as its input, along with a full ESC cell model to find power limits. You will learn how to implement this method in Octave code and will compare its computations to those from the HPPC method you learned about last week.
Name:Future Battery-Management-System Algorithms
Description:Present-day BMS algorithms primarily use equivalent-circuit models as a basis for estimating state-of-charge, state-of-health, power limits, and so forth. These models are not able to describe directly the physical processes internal to the cell. But, it is exactly these processes that are precursors to cell degradation and failure. This week quickly introduces some concepts that might motivate future BMS algorithms that use physics-based models instead.
Name:Capstone project
Description:This capstone project explores the design of resistor value for a switched-resistor passive balancing system as well as enhancing a power-limits method based on the HPPC approach.
This course can also be taken for academic credit as ECEA 5734, part of CU Boulder’s Master of Science in Electrical Engineering degree. In this course, you will learn how to design balancing systems and to compute remaining energy and available power for a battery pack. By the end of the course, you will be able to: - Evaluate different design choices for cell balancing and articulate their relative merits - Design component values for a simple passive balancing circuit - Use provided Octave/MATLAB simulation tools to evaluate how quickly a battery pack must be balanced - Compute remaining energy and available power using a simple cell model - Use provided Octave/MATLAB script to compute available power using a comprehensive equivalent-circuit cell model
