云计算-基于改进迭代中心差分卡尔曼滤波器的锂电池SOC估计算法的研究.pdf

ABSTRACT

With the development of electronic Industries, requirements of electronic

products performance are getting higher, the volume and weight of power supply are

as small as possible, but the power is as high as possible. Compared with other

batteries, lithium battery as a new type of battery is definitely the best choice because

of its higher energy force ratio, higher volume ratio and lower self-discharge rate.

Lithium battery is not only used in the field of portable electronic products, but also

discussing several kinds of battery models. The accuracy and effectiveness of the

model are verified through battery discharge-rest experiment in different condition.

The online identification of battery model parameters is proceeding using adjustable

factor of the least squares method. The modified iterative Center Difference Kalman

Filter for lithium SOC estimation is put forward after analysis and comparison of

several kinds of lithium batteries and combining adaptive filtering algorithm, to

enhance the adaptive and accuracy of algorithm, the estimated accuracy of lithium

batteries is raised and the adaptive and accuracy of algorithm is improved.

Finally, the hardware platform using the lithium battery of Tianjin Lishen

Company is constructed based on the communication with FPGA and AT90CAN128,

目 录

目 录 .............................................................................................................................. 3

第一章 绪论 ........................................................................................................................ 1

1.1 锂电池简介 ................................................................................................................ 1

1.2 锂电子电池应用现状 ................................................................................................ 3

1.3 锂电子发展及其前景 ................................................................................................ 4

1.4 锂电池管理系统 ........................................................................................................ 5

1.5 课题研究内容 ............................................................................................................ 8

2.2.4 卡尔曼滤波 ....................................................................................................... 13

2.3 本章小结 ................................................................................................................. 13

第三章 电池模型及参数辨识 ............................................................................................ 14

3.1 电池模型 ................................................................................................................. 14

3.1.1 电化学模型 ....................................................................................................... 14

3.1.2 神经网络模型 ................................................................................................... 14

3.1.3 等效电路模型 ................................................................................................... 15

3.2 磷酸铁锂电池模型的建立 ....................................................................................... 17

3.3 OCV 与 SOC 曲线的测取 ........................................................................................... 18

3.4 模型验证 ................................................................................................................. 20

第四章 锂电池 SOC 估计算法 ........................................................................................... 36

4.1 扩展卡尔曼滤波算法 .............................................................................................. 36

4.2 中心差分卡尔曼滤波 .............................................................................................. 39

4.3 迭代 CDKF 算法 ....................................................................................................... 44

4.4 改进的 ICDKF 算法 ................................................................................................... 45

4.5 本章小结 ................................................................................................................. 47

第五章 仿真实验与数据分析 ............................................................................................ 48

5.1 电池模型的空间状态方程 ....................................................................................... 48

5.2 模型参数与 SOC 联合估算 ...................................................................................... 49

5.2.1 脉冲式放电情况下锂电池 SOC 估计图 ............................................................ 50

6.1 FPGA 简介 ................................................................................................................. 65

6.2 分频电路 ................................................................................................................. 65

6.3 电压/温度检测电路 ................................................................................................. 66

6.4 电流检测电路 .......................................................................................................... 68

6.5 LCD 液晶显示电路 .................................................................................................... 70

6.6 串口通讯的实现 ...................................................................................................... 71

6.7 本章小结 ................................................................................................................. 74

第七章 总结与展望 ........................................................................................................... 76

7.1 论文总结 ................................................................................................................. 76

7.2 展望 ......................................................................................................................... 77