TY - GEN
T1 - Design of Battery Management System for Electric Vehicles
AU - Wu, Tsung Hsun
AU - Pai, Tzu Yang
AU - Liu, Chih Hsing
AU - Chen, Pei Yin
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - The battery management system is one of the key technologies for electric vehicles. This system is mainly used to monitor the status of the battery, improve the efficiency and reliability of the battery, prevent the battery from overcharge and over discharge, and to extend the battery life. This research uses NUVOTON's Coretex-M4 chip M487SIDAE as the control core to construct a set of "low-cost and high-efficiency battery management system", for the electric vehicles. With self-designed battery monitoring and sensing circuits to measure various important parameters of the battery module, A set of C# real-time monitoring screens is constructed on the computer interface to facilitate the monitoring of the personnel, and to make the battery information in real time. Recording and data accumulation are convenient for users to perform subsequent battery health status diagnosis and analysis offline, which can be used to effectively judge the battery life.
AB - The battery management system is one of the key technologies for electric vehicles. This system is mainly used to monitor the status of the battery, improve the efficiency and reliability of the battery, prevent the battery from overcharge and over discharge, and to extend the battery life. This research uses NUVOTON's Coretex-M4 chip M487SIDAE as the control core to construct a set of "low-cost and high-efficiency battery management system", for the electric vehicles. With self-designed battery monitoring and sensing circuits to measure various important parameters of the battery module, A set of C# real-time monitoring screens is constructed on the computer interface to facilitate the monitoring of the personnel, and to make the battery information in real time. Recording and data accumulation are convenient for users to perform subsequent battery health status diagnosis and analysis offline, which can be used to effectively judge the battery life.
UR - http://www.scopus.com/inward/record.url?scp=85124150380&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85124150380&partnerID=8YFLogxK
U2 - 10.1109/ISPACS51563.2021.9650999
DO - 10.1109/ISPACS51563.2021.9650999
M3 - Conference contribution
AN - SCOPUS:85124150380
T3 - ISPACS 2021 - International Symposium on Intelligent Signal Processing and Communication Systems: 5G Dream to Reality, Proceeding
BT - ISPACS 2021 - International Symposium on Intelligent Signal Processing and Communication Systems
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2021 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2021
Y2 - 16 November 2021 through 19 November 2021
ER -