Published February 1, 2019 | Version v1
Journal article

Study on the SOC estimation method for Lithium power battery based on tomographic images

  • 1. Guangdong Key Laboratory of Automotive Engineering Guangzhou 510641, P.R China (China)

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/10.1088/1742-6596/1168/4/042005

Additional details

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