Proceedings of the 2016 International Forum on Mechanical, Control and Automation (IFMCA 2016)

Design of Battery Management System

Authors
Chuanwei Zhang, Linyang Li
Corresponding Author
Chuanwei Zhang
Available Online March 2017.
DOI
https://doi.org/10.2991/ifmca-16.2017.5How to use a DOI?
Keywords
Battery management system; CAN bus; Cloud platform BP Neural network; State of Charge estimation
Abstract
Power battery is the core component of the electric vehicle, but its performance is often restricted by equilibrium and temperature conditions. In order to solve those problems, a new type of battery management system was developed. In terms of whole structure, the master slave distributed design scheme was adopted. In aspects of hardware, the battery monitoring circuit, communication circuit and protection circuit were designed. In terms of software, the balance, temperature control strategy and the SOC estimation strategy based on cloud platform neural network were used. At the same time, the man-machine interaction interface of LABVIEW was established, which could display the battery information in real time. Finally, the electronic load was served as the load to simulate the ideal working conditions. The results show that the collected voltage and temperature information is accurate, the system response is rapid, and the SOC estimation error is controlled less than 5 .
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This is an open access article distributed under the CC BY-NC license.

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Volume Title
Proceedings of the 2016 International Forum on Mechanical, Control and Automation (IFMCA 2016)
Series
Advances in Engineering Research
Publication Date
March 2017
ISBN
978-94-6252-307-4
ISSN
2352-5401
DOI
https://doi.org/10.2991/ifmca-16.2017.5How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Chuanwei Zhang
AU  - Linyang Li
PY  - 2017/03
DA  - 2017/03
TI  - Design of Battery Management System
BT  - Proceedings of the 2016 International Forum on Mechanical, Control and Automation (IFMCA 2016)
PB  - Atlantis Press
SP  - 32
EP  - 39
SN  - 2352-5401
UR  - https://doi.org/10.2991/ifmca-16.2017.5
DO  - https://doi.org/10.2991/ifmca-16.2017.5
ID  - Zhang2017/03
ER  -