A microcontroller-based state-of-health estimator for lithium-ion batteries
A microcontroller-based state-of-health estimator for lithium-ion batteries
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基于微控制器的锂离子电池健康状态估计器
DOI：
10.1049/cp.2014.0519
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发表时间：
2014
期刊：
影响因子：
--
通讯作者：
Nejad S
中科院分区：
文献类型：
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作者：
Nejad S
尽管可充电电池具有许多优点，但它们的容量退化和健康状态（SoH -电池在其寿命内提供其可充电放电容量的能力）仍然是大多数电力应用中的问题。SoH是电池电荷存储能力的定性测量，这是确定电池使用寿命终止的关键因素，从而防止意外的电力短缺。本文介绍了一种廉价的基于微处理器的电池循环仪的设计和实现，该电池循环仪能够对锂离子（Li离子）电池进行充电和放电，同时准确测量注入或从中移除的电荷。在线SoH估计技术，然后开发基于电池端电压和去除安培小时电荷之间的关系的线性近似。两个磷酸铁锂（LiFePO 4）电池的实验结果给信心的SoH估计模型和建议的电池循环。
Despite the many advantages of rechargeable batteries, their capacity degradation and state-of-health (SoH - ability of a battery to provide its nameplate discharge capacity over its lifetime) remains an issue in most power applications. The SoH is a qualitative measure of the battery's charge storage capability, which is a key factor in determining the battery's end-of-service-life, thus preventing unintended power shortages. This paper presents the design and implementation of an inexpensive microcontroller-based cell cycler, capable of charging and discharging lithium-ion (Li-ion) battery cells whilst accurately measuring the charge being injected or removed from them. An online SoH estimation technique is then developed based on the linear approximation of the relationship between the cell terminal voltage and removed ampere-hour charge. The experimental results on two lithium iron phosphate (LiFePO4) battery cells give confidence to both the SoH estimation model and the proposed cell cycler.