Published February 1, 2019
| Version v1
Journal article
Study on the SOC estimation method for Lithium power battery based on tomographic images
Description
Due to the common SOC estimation methods cannot accurately estimate the SOC of the battery in real time, it results in inaccurate SOC estimation. Therefore, the SOC estimation method for lithium power battery based on tomography images is proposed, it can be used to obtain tomographic images that reflect the structural morphology parameters density, area and thickness of the cathode and anode electrodes active materials in real time. Finally, a prediction model for the SOC with pixels of cathode and anode electrodes active materials is established. The result shows that the SOC can be calculated by the structural morphological parameters of the battery in real time, and the estimation results are more accurate and reliable. (paper)
Availability note (English)
Available from http://dx.doi.org/10.1088/1742-6596/1168/4/042005Additional details
Identifiers
Publishing Information
- Journal Title
- Journal of Physics. Conference Series (Online)
- Journal Volume
- 1168
- Journal Issue
- 4
- Journal Page Range
- [11 p.]
- ISSN
- 1742-6596
Conference
- Title
- International Conference on Computer Information Science and Application Technology
- Dates
- 7-9 Dec 2018
- Place
- Daqing (China)
INIS
- Country of Publication
- United Kingdom
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 53038640
- Subject category
- S71: CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS; S42: ENGINEERING;
- Resource subtype / Literary indicator
- Conference
- Descriptors DEI
- ANODES; CATHODES; DENSITY; IMAGES; LITHIUM; MATERIALS; MORPHOLOGY; THICKNESS; TOMOGRAPHY
- Descriptors DEC
- ALKALI METALS; DIAGNOSTIC TECHNIQUES; DIMENSIONS; ELECTRODES; ELEMENTS; METALS; PHYSICAL PROPERTIES