基于电池健康状态预测的储能系统功率分配.docxVIP

基于电池健康状态预测的储能系统功率分配

目录

1.内容概览................................................3

1.1研究背景.............................................3

1.2研究目的与意义.......................................4

1.3文档结构.............................................5

2.电池健康状态预测技术....................................6

2.1电池健康状态评估方法.................................8

2.1.1电池容量评估.....................................9

2.1.2电池内阻评估....................................10

2.1.3电池循环寿命评估................................11

2.2电池健康状态预测模型................................12

2.2.1传统预测模型....................................14

2.2.2深度学习预测模型................................15

2.2.3基于机器学习的预测模型..........................16

3.储能系统功率分配策略...................................18

3.1功率分配原则........................................19

3.1.1功率平衡原则....................................20

3.1.2电池寿命最大化原则..............................21

3.1.3经济性原则......................................23

3.2基于电池健康状态的功率分配方法......................24

3.2.1基于电池剩余寿命的功率分配......................25

3.2.2基于电池内阻的功率分配..........................27

3.2.3基于电池循环寿命的功率分配......................28

4.基于电池健康状态预测的功率分配算法设计.................29

4.1算法设计思路........................................31

4.2算法流程............................................32

4.2.1数据预处理......................................33

4.2.2电池健康状态预测................................34

4.2.3功率分配计算....................................35

4.2.4算法验证与优化..................................37

5.实验与分析.............................................37

5.1实验平台搭建........................................40

5.2实验数据采集........................................40

5.3实验结果分析........................................42

5.3.1电池健康状态预测效果评估........................43

5.3.2功率分配效果评估................................45

5.3.3算法性能比较....................................46

6.结论与展望.............................................48

6.1研究结论.