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Artificial Intelligence-Based Lifetime Optimization in the Smart Batteries
Sorouri, Hoda
(PI)
Teodorescu, Remus
(Supervisor)
Power Electronics System Integration and Materials
The Faculty of Engineering and Science
AAU Energy
Photovoltaic Systems
Batteries
Electric Power Systems and Microgrids
Center for Research on Smart Battery
Overview
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Keyphrases
Advanced Technologies
50%
Artificial Intelligence
100%
Battery Management System
100%
Battery Performance
50%
Control Method
50%
Control Strategy
50%
Digital Twin
50%
Expected Outcomes
50%
Impedance Method
50%
Intelligent Control
50%
Lifetime Optimization
100%
Performance Enhancement
50%
Real-world Experiment
50%
Smart Battery
100%
State of Charge
100%
Computer Science
And-States
100%
Artificial Intelligence
100%
Control Method
50%
Control Strategy
100%
Digital Twin
50%
Expected Outcome
50%
Intelligent Control System
50%
Performance Enhancement
50%