A Comprehensive Analysis of Wireless Charging Systems for Electric Vehicles

Mohamed, Naoui; Aymen, Flah; Alharbi, Turki E. A.; El-Bayeh, Claude Ziad; Eicker, Ursula; Sbita, Lassaâd; Ghoneim, Sherif S. M.

doi:10.1109/access.2022.3168727

Cited by 39 publications

(24 citation statements)

References 93 publications

(97 reference statements)

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“…We then computed the mutual inductances in the case of no misalignment (Figure 8) and 30% and 50% horizontal misalignment (Figures 9.a and 9.b respectively). When working with dynamic charging, it is usual to analyse wireless charging for different misalignment conditions [27]. In Table 4, these parameters are included.…”

Section: B Electrical Analysismentioning

confidence: 99%

Efficient Methodology of the Coil Design for a Dynamic Wireless Charger

Triviño-Cabrera¹,

Aguado²,

Delgado³

2022

IEEE Access

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from the "Proyectos de I+D+i -RTI Tipo A" program."ABSTRACT Dynamic charging is a promising technology that will increase the use of electric vehicles with reduced battery requirements. Designing this type of system is more complex than for a static charger, and leads to a significantly higher demand of computational resources. First, the complex geometries of the coils do not allow analytical equations to be used, and FE tools must therefore be used instead. However, the Litz wire conductor used in these coils will pose a computational problem if it is not well modelled. The second difficulty is that these systems should be analysed with more potential relative positions between the coils, as misalignment is intrinsic in a dynamic charger. These two complications mean that the design process can greatly benefit from techniques that reduce the time taken to derive the coil parameters. This paper shows the feasibility of using an equivalent layer to model the Litz wire in a dynamic charging application, which significantly reduces the computational time of each iteration up to 20 times. As a consequence, the complete design process is faster and accurate. For this demonstration, we illustrate the design for a dynamic charger of a remote control car.

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Section: B Electrical Analysismentioning

confidence: 99%

Efficient Methodology of the Coil Design for a Dynamic Wireless Charger

Triviño-Cabrera¹,

Aguado²,

Delgado³

2022

IEEE Access

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“…This is because when x m = 0, constraints ( 9) and (10) always hold for all feasible values of w u,m allowed by the demand and thus are not activated; only when x m = 1 does constraint (9) yield τ u,m ≤ w u,m and constraint (10) yield w u,m ≤ τ z,m , and thus, w u,m = τ u,m x m . Constraints (11) and ( 12) specify each w u,m as a positive continuous variable.…”

Section: Methodsmentioning

confidence: 99%

“…Emerging wireless charging (WC) technology holds the promise of overcoming these issues [11][12][13]. With this technology, the EV's battery is charged via wireless power transfer (WPT) technology [14,15].…”

Section: Introductionmentioning

confidence: 99%

“…With this technology, the EV's battery is charged via wireless power transfer (WPT) technology [14,15]. WPT is an emerging and promising technology that was introduced by Nikola Tesla in the 19th century and over time has evolved to become a competitive solution with wired charging systems [11]. This technology can replace plug-in interfaces through transmitters and receivers, allowing the flow of energy in the form of electromagnetic or static waves in a noncontact manner.…”

Section: Introductionmentioning

confidence: 99%

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Optimal Deployment of Dynamic Wireless Charging Lanes for Electric Vehicles considering the Battery Charging Rate

Pei

Jia

et al. 2022

Journal of Advanced Transportation

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Dynamic wireless charging (DWC) technology enables the charging of electric vehicles (EVs) en route without the need for stopping on long-distance trips. Based on DWC technology, a dynamic wireless charging system (DWCS) concept is proposed to determine the number of DWC lanes and their locations and lengths considering varying battery charging rates. A two-stage approach is proposed to design the optimal DWCS. First, we propose a mixed-integer model with nonlinear constraints to determine the locations and lengths of the charging lanes. This model is further reformulated as a mixed-integer linear problem to make it suitable to solve with off-the-shelf commercial solvers (e.g., Gurobi). Next, we propose a method to obtain an approximately optimal solution for the number of lanes. Then, a numerical example from a freeway in Guangdong Province, China, is investigated to demonstrate the applicability of the proposed model and its effectiveness in reducing the construction costs.

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“…After the PMSG generates electricity, the used boost converter (BC) will take care of the electric signal and try to control its variation (Abdullah et al, 2012a;Mohamed et al, 2022).…”

Section: Specification Internmentioning

confidence: 99%

Comparative analysis of MPPT techniques for enhancing a wind energy conversion system

et al. 2022

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One of the most reliable and advanced renewable energy sources is wind energy. It is critical to harness as much wind energy as possible and maintain wind turbines operating at full capacity. Maximum power point tracking (MPPT) is a cutting-edge study that incorporates a variety of approaches. Because each MPPT technique has its own set of advantages and disadvantages, developing an accurate maximum power point tracking methodology for a certain case necessitates understanding. As a result, they must be checked thoroughly. This research tries to examine many algorithms that can be used to improve the wind energy system’s global MPPT performance. The traditional “Perturb and Observe” tool, the optimization method based on the “particle swarm optimization algorithm,” the neural network, and the “fuzzy logics” as intelligent tools are these techniques. The main objective of this research is to define and evaluate four different flexible algorithms that achieve the fundamental objective of this optimization. The advantages, drawbacks, and thorough analysis of MPPT systems are highlighted in terms of initial investment, responsiveness, and capacity to create maximum energy output. All of this comparison was made through simulation software, which is the MATLAB Simulink tool. The conclusions are supported by a comprehensive discussion and presentation of the results for a variety of situations and tests that reflect real-world behavior in any wind system.

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A Comprehensive Analysis of Wireless Charging Systems for Electric Vehicles

Cited by 39 publications

References 93 publications

Efficient Methodology of the Coil Design for a Dynamic Wireless Charger

Efficient Methodology of the Coil Design for a Dynamic Wireless Charger

Optimal Deployment of Dynamic Wireless Charging Lanes for Electric Vehicles considering the Battery Charging Rate

Comparative analysis of MPPT techniques for enhancing a wind energy conversion system

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