A Li-ion battery modeling and parameter identification method based on fractional order theory
A lithium-ion battery and parameter identification technology, applied in the measurement of electricity, measurement of electrical variables, instruments, etc., can solve the problem of difficulty in obtaining reliable estimates for online identification of swarm intelligence algorithms, and achieve simple structure, accurate model, and high identification accuracy. Effect
Active Publication Date: 2022-04-08
NANTONG UNIVERSITY
View PDF5 Cites 0 Cited by
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
For example, particle swarm optimization and its improved algorithm can be better applied to different working conditions, but it becomes a problem that the online identification of swarm intelligence algorithm is difficult to obtain a reliable estimate
Method used
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View moreImage
Smart Image Click on the blue labels to locate them in the text.
Smart ImageViewing Examples
Examples
Experimental program
Comparison scheme
Effect test
Embodiment 1
[0118] see Figure 1 to Figure 6 The technical solution provided by the present invention is a lithium battery modeling and parameter online identification method based on fractional order theory. In this embodiment, Panasonic lithium-ion battery NCR-18650B is used as the object of research. The calibration voltage is 3.7V, and the battery capacity It is 3400mAh. The battery is charged to the cut-off voltage by constant current charging (0.5C), and the battery is fully charged after standing for 1 hour. The battery works in intermittent constant current discharge mode: discharge for 5 minutes, rest for 30 minutes, discharge current is 3400mA, discharge rate is 1C. This process is repeated until the voltage drops to the discharge cut-off voltage. Test voltage curve and current curve such as Figure 4 shown.
[0119] In order to better realize the purpose of the present invention, the present embodiment is lithium-ion battery modeling and parameter online identification method...
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More PUM
Login to View More Abstract
The invention provides a lithium ion battery modeling and parameter identification method based on fractional order theory, belonging to the technical field of ion batteries. It solves the technical problem that the integer-order equivalent circuit model has weak ability to describe the dynamic characteristics of the battery, the low-order model cannot meet the accuracy requirements, and the high-order model will increase the model complexity and calculation amount. The technical solution comprises the following steps: step 1) adopting the empirical formula method to determine the relationship of OCV-SOC; step 2) deriving the system identification equation; and step 3) constructing the identification process of the improved ant colony optimization algorithm. The beneficial effects of the present invention are: although the PNGV model improved by the fractional order theory of the present invention presents nonlinearity and is more accurate, the PNGV model identification expression based on the fractional order is deduced, and the improved ant colony optimization algorithm is used for online identification, which can Obtaining model parameters and fractional orders with high estimation accuracy can accurately and effectively reflect the real-time performance of lithium batteries.
Description
technical field [0001] The invention relates to the technical field of ion batteries, in particular to a lithium ion battery modeling and parameter identification method based on fractional order theory. Background technique [0002] With the rapid development of the new energy vehicle industry, batteries, as the core part of the energy supply of new energy vehicles, have become the mainstream research direction of scholars from all over the world. Lithium batteries have become the most important energy storage components in batteries due to their advantages such as long life and high specific energy. The battery management system in new energy vehicles is especially important for the safe and efficient use of lithium batteries. In order to simulate lithium batteries in the battery management system, it is necessary to establish a model with a simple structure and easy to simulate. In reality, it is still a challenging task to complete the above model establishment and onli...
Claims
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More Application Information
Patent Timeline
Login to View More Patent Type & Authority Patents(China)
IPC IPC(8): G01R31/367
CPCG01R31/367
Inventor 李俊红蒋泽宇王娟李磊褚云琨芮佳丽李政
Owner NANTONG UNIVERSITY