健康状况
电池(电)
电池组
储能
可靠性工程
能量(信号处理)
降级(电信)
计算机科学
估计
锂(药物)
锂离子电池
国家(计算机科学)
工程类
功率(物理)
统计
算法
数学
系统工程
内分泌学
物理
电信
医学
量子力学
作者
Qi Huang,Shunli Wang,Zonghai Chen,Ran Xiong,Carlos Fernandez,Daniel‐Ioan Stroe
标识
DOI:10.1007/978-981-99-5344-8_5
摘要
The purpose of this chapter is to extract health indicators, validate ESP cell model and battery pack model, and validate health state estimation methods under specific experimental conditions. This chapter firstly establishes an experimental platform and clusters two major types of working conditions based on actual energy storage conditions. Secondly, this chapter extracts and analyzes the correlation of health indicators under typical energy storage conditions. Finally, this chapter validates the ESP model and multi-cell model under low-rate constant current energy storage degradation conditions and variable-rate energy storage degradation conditions, and conducted validation analysis of the health state estimation method on this basis. The analysis results demonstrate that the health state estimation method for energy storage lithium-ion battery packs developed in this book based on multidimensional health indicators and NSA-BP model has obvious advantages.
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