Open AccessResearch on Electric Vehicle Battery On-line Management System
Author(s) -
Yanxing Qi,
Xiaofeng Yang
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/769/4/042101
Subject(s) - battery (electricity) , debugging , internal resistance , microcontroller , computer science , automotive engineering , equalization (audio) , kalman filter , line (geometry) , stm32 , value (mathematics) , electrical engineering , engineering , embedded system , channel (broadcasting) , power (physics) , artificial intelligence , chip , physics , geometry , mathematics , quantum mechanics , machine learning , programming language
This paper takes STM32 MCU as the control core to make deep research on the electric vehicle battery online management system. The internal resistance detection method and Kalman filter method are used to estimate the SOC value, and the equalization control circuit is used to make the SOC value of each single battery tend to be consistent, and the equalizing protection circuit is used to effectively protect the battery. Debugging and experimental results show that the system can accurately estimate the SOC value, solve the problem of inconsistent SOC value of each single battery, and effectively improve the efficiency of the battery.