Proceedings of the 2016 International Conference on Mechatronics, Control and Automation Engineering

An Intelligent Driving and Management System of Solar LED with Adaptive Disturbance Observation Method

Authors
Qing Hu, Xiaodan Du, Hui Chen
Corresponding Author
Qing Hu
Available Online July 2016.
DOI
https://doi.org/10.2991/mcae-16.2016.3How to use a DOI?
Keywords
intelligent driving and management system; adaptive disturbance observation method; maximum power point tracking
Abstract
Solar power has become one of the most important renewable resources due to the energy crisis recently. An intelligent solar LED lighting driver system based on embedded technology was designed to make full use of the green energy. Electricity which was detected real-timely was generated by solar cells. Boost-Buck DC/DC converter was controlled by PWM to realize the control of Maximum Power Point Tracking Charge and the intelligent management to the batteries. Besides, LED was adopted to improve the energy efficiency, working reliability, practicality and environment protection. The new system is efficient, stable and practical. It can be widely applied in all kinds of embedded devices to supply the effective and environment protective energy.
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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 Conference on Mechatronics, Control and Automation Engineering
Series
Advances in Engineering Research
Publication Date
July 2016
ISBN
978-94-6252-237-4
ISSN
2352-5401
DOI
https://doi.org/10.2991/mcae-16.2016.3How 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  - Qing Hu
AU  - Xiaodan Du
AU  - Hui Chen
PY  - 2016/07
DA  - 2016/07
TI  - An Intelligent Driving and Management System of Solar LED with Adaptive Disturbance Observation Method
BT  - Proceedings of the 2016 International Conference on Mechatronics, Control and Automation Engineering
PB  - Atlantis Press
SP  - 12
EP  - 14
SN  - 2352-5401
UR  - https://doi.org/10.2991/mcae-16.2016.3
DO  - https://doi.org/10.2991/mcae-16.2016.3
ID  - Hu2016/07
ER  -