Multi-Objective Optimization of Bi-directional On-Board Chargers Based on 650V GaN Power Transistors

Bay, Olcay; Hosseinabadi, Farzad; Chakraborty, Sajib; Baghdadi, Mohamed El; Hegazy, Omar

doi:10.1109/iecon49645.2022.9968522

Cited by 4 publications

(3 citation statements)

References 16 publications

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“…In the context of the V2G setup, the varying activities of electric vehicles can introduce complexity to the power system. To address this, an optimization strategy is employed to handle the energy transactions between each electric vehicle and the power grid within the V2G system [9]. The smart technique of optimizing the V2G algorithm leverages the mobility of EVs to provide V2G services and attain specific objectives.…”

Section: Optimization Of V2g Systemmentioning

confidence: 99%

“…Nonetheless, obtaining feasible solutions using this method can be quite challenging. In recent times, Artificial Intelligence (AI) has emerged as an alternative approach to solving complex V2G problems [6], [9]- [11]. Two reliable and feasible AI optimization methods for V2G systems are the Genetic Algorithm (GA) and the Particle Swarm Optimization (PSO).…”

Section: Optimization Of V2g Systemmentioning

confidence: 99%

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Vehicle-to-grid system optimization for electric vehicle – a review

Abu Hassan,

Abdullah,

Nik Ali

et al. 2023

IOP Conf. Ser.: Earth Environ. Sci.

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The transportation industry is a major contributor to global greenhouse gas emissions, and the adoption of electric vehicles (EVs) presents a viable solution to this problem. The implementation of vehicle-to-grid (V2G) systems has significantly enhanced energy supply and utilization efficiency, particularly through the integration of renewable energy sources such as solar and wind. However, the complexity of the V2G system necessitates addressing multiple objectives and constraints. Previous research has employed optimization methods to refine the V2G system. However, traditional linear and quadratic programming approaches are limited to simple and linear objectives, while non-linear programming methods encounter challenges when dealing with uncertain variables. Consequently, there is a pressing need for a more dependable optimization method capable of managing uncertain variables in this intricate system, particularly in the context of renewable energy source integration. This paper reviews the feasible and reliable optimization approaches utilized by scholars and researchers, examining the multiple objective functions and constraints required for optimizing the V2G system.

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Section: Optimization Of V2g Systemmentioning

confidence: 99%

Section: Optimization Of V2g Systemmentioning

confidence: 99%

Vehicle-to-grid system optimization for electric vehicle – a review

Abu Hassan,

Abdullah,

Nik Ali

et al. 2023

IOP Conf. Ser.: Earth Environ. Sci.

View full text Add to dashboard Cite

show abstract

“…GaN has been successfully adopted in a two-stage OBC that combines a totem-pole PFC with a synchronous buck dc/dc converter [36]. The optimal design requires accounting for conflicting targets thus the adoption of multi-optimal stochastic algorithms is useful at the design stage [37,38]. Once again, electromagnetic compatibility issues due to the use of GaN devices in OBCs must be also carefully considered.…”

Section: Introductionmentioning

confidence: 99%

The GaN Breakthrough for Sustainable and Cost-Effective Mobility Electrification and Digitalization

et al. 2023

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Vehicle electrification and digitalization are even more and more increasingly pushed by several aims, such as the improvement in sustainability, wellness, safety, and reliability. The need for onboard power electronics is a common factor for the different types of electric vehicles. Similarly, the increasing presence of onboard Internet of Things items as well as systems implementing artificial intelligence asks for additional power electronics that ensure supplying them according to their rating plate. Additionally, power converters have to perform this task also for traditional loads (infotainment; climate control, and so on) and new ones (USB and wireless chargers; Light detection and ranging, LiDAR applications, and so on). The transaction towards full electrification and digitalization requires highly efficient and compact power electronics converters. In this perspective, the Gallium nitride (GaN) high-electron-mobility transistors (HEMTs) are the best enabler device technology. This paper analyses the current and prospective improvement in sustainability and cost achievable with GaN in the automotive sector. Then, the advantages of the system in package GaN devices in power converter supporting this transaction, such as 48 V–12 V converters, onboard charges, and cell phone wireless chargers are experimentally investigated. The results have highlighted that, already in 2023, the use of Si devices in these applications does not enable further a lower overall converter cost with respect to GaN-based solutions. The reduction of passive costs enabled by using higher frequency thanks to the GaN features compensates for its higher cost. On the other hand, GaN HEMT enables high efficiency in all the aforesaid automotive applications as also experimentally proved in this paper, making it the best solution in terms of sustainability.

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