Published December 1, 2018
| Version v1
Journal article
Study of SOC dynamic estimation method of power lithium battery
Creators
- 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/452/3/032057Additional details
Identifiers
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