Published December 1, 2018 | Version v1
Journal article

Study of SOC dynamic estimation method of power lithium battery

  • 1. College of Mechanical and Electrical Engineering, Zaozhuang University, Zaozhuang (China)

Description

The Partnership for a New Generation of Vehicles (PNGV) battery equivalent model is established on the basis of the existing charging state estimation method. Based on the kalman filtering algorithm, a state space expression based on the Davidson's battery model is established. Finally, Matlab/Simulink is used for simulating calculation. Simulation and experiment show that the selected PNGV model has high precision and can simulate the charging and discharging characteristics of the battery truly, so that the SOC estimation value is controlled within the range of high precision. (paper)

Availability note (English)

Available from http://dx.doi.org/10.1088/1757-899X/452/3/032057

Additional details

Publishing Information

Journal Title
IOP Conference Series. Materials Science and Engineering (Online)
Journal Volume
452
Journal Issue
3
Journal Page Range
[5 p.]
ISSN
1757-899X

Conference

Title
3. International Conference on Insulating Materials, Material Application and Electrical Engineering
Dates
15-16 Sep 2018
Place
Melbourne (Australia)

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
52102422
Subject category
S36: MATERIALS SCIENCE; S42: ENGINEERING;
Resource subtype / Literary indicator
Conference
Descriptors DEI
ALGORITHMS; COMPUTERIZED SIMULATION; FILTERS; LITHIUM; LITHIUM ION BATTERIES
Descriptors DEC
ALKALI METALS; ELECTRIC BATTERIES; ELECTROCHEMICAL CELLS; ELEMENTS; ENERGY STORAGE SYSTEMS; ENERGY SYSTEMS; MATHEMATICAL LOGIC; METALS; SIMULATION