Artificial Neural Network based Battery Management System on State of Charge Estimation for Optimal Operation of Photovoltaic-Battery Integrated System
Due to the reduction of fossil-fuel utilization PV-Battery integrated system is a preferable power supply in many areas of the world. Designing a supervisory controller that can harvest high energy density and prolong the battery lifetime is one of the major challenges in a battery energy storage sy...
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| Main Author: | |
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| Format: | Thesis |
| Language: | English |
| Published: |
Universiti Malaysia Sarawak (UNIMAS)
2020
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| Online Access: | http://ir.unimas.my/id/eprint/33252/4/Artificial%20Neural%20Network%20based%20Battery%20Management%20System%20on%20State%20of%20Charge.pdf http://ir.unimas.my/id/eprint/33252/ |
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| Institution: | Universiti Malaysia Sarawak |
| Language: | English |