Design of Battery Management System for Electric Vehicles

Tsung Hsun Wu, Tzu Yang Pai, Chih Hsing Liu, Pei Yin Chen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publicationISPACS 2021 - International Symposium on Intelligent Signal Processing and Communication Systems
Subtitle of host publication5G Dream to Reality, Proceeding
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665419512
DOIs
Publication statusPublished - 2021
Event2021 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2021 - Hualien, Taiwan
Duration: 2021 Nov 162021 Nov 19

Publication series

NameISPACS 2021 - International Symposium on Intelligent Signal Processing and Communication Systems: 5G Dream to Reality, Proceeding

Conference

Conference2021 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2021
Country/TerritoryTaiwan
CityHualien
Period21-11-1621-11-19

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Networks and Communications
  • Signal Processing
  • Safety, Risk, Reliability and Quality

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