Abstract
Dual Active Bridge (DAB) converters are widely used in energy storage systems and electrical vehicle applications due to providing isolation and bidirectional power flow. However, recycling energy causes additional losses and minimum efficiency. So, there are phase shift control techniques to minimize recycling energy and increase efficiency. In this paper, nature-inspired evolutionary algorithms which are Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) are used to determine the optimum phase shift ratios in search space.
Keywords
Particle swarm optimization
Converters
Evolutionary algorithm
Genetic algorithm
Computer science
Power (physics)
Efficient energy use
Algorithm
Energy (signal processing)
Evolutionary computation
Mathematical optimization
Electronic engineering
Engineering
Mathematics
Electrical engineering
Physics
Subject Areas
Advanced DC-DC Converters
·Electrical and Electronic Engineering ·Physical Sciences
Multilevel Inverters and Converters
·Electrical and Electronic Engineering ·Physical Sciences
Microgrid Control and Optimization
·Control and Systems Engineering ·Physical Sciences
Citations by Year
2024: 1
2025: 3
OpenAlex SDG Match
SDGs auto-classified by OpenAlex (score ≥ 0.4 shown).
Affordable and clean energy 90%
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