Sustainable Electric Personal Mobility: The Design of a Wireless Charging Infrastructure for Urban Tourism

Kwag, Sung Il; Hur, Uh-Jin; Ko, Young Dae

doi:10.3390/su13031270

Cited by 15 publications

(9 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In this study, the optimal solution is derived using IBM's ILOG CPLEX. IBM's ILOG CPLEX is a sophisticated mathematical optimization tool designed to solve linear programming (LP), mixed-integer programming (MIP), and quadratic programming (QP) problems, among others [30]. It is widely recognized for its efficiency, reliability, and the ability to handle large-scale optimization problems.…”

Section: Optimal Solution Solvermentioning

confidence: 99%

Efficient Expansion Algorithm of Urban Logistics Network for Medical Products Considering Environmental Impact

Jo,

Ko,

et al. 2024

Sustainability

Self Cite

View full text Add to dashboard Cite

As society continues to age, people are becoming more concerned about their health care. This has led to an increase in the demand for medical products in urban areas, emphasizing the need for regular and prompt deliveries. However, the existing logistics centers are located in the suburbs of Seoul, a metropolitan city, which makes it challenging to ensure timely delivery. To address this issue, this study aims to establish new logistics centers in urban areas, particularly in Seoul, while minimizing CO2 emissions from delivery vehicles in alignment with sustainability efforts. The scientific gap addressed in and the novelty of this paper is that the input parameters are prepared based on actual data from a medical company in Korea to reflect reality, and the mathematical model-based optimization technique is applied to determine the optimal location of a new logistics center. The genetic algorithm is developed to solve the proposed mathematical model by deriving optimal or near-optimal solutions. Furthermore, the numerical experiment examined the impact of establishing a new logistics center in one of the candidate areas of local governments in Seoul by considering environmental impact. As a result, the new logistics network can reduce CO2 emissions by approximately 66.74% compared to the existing logistics network.

show abstract

Section: Optimal Solution Solvermentioning

confidence: 99%

Efficient Expansion Algorithm of Urban Logistics Network for Medical Products Considering Environmental Impact

Jo,

Ko,

et al. 2024

Sustainability

Self Cite

View full text Add to dashboard Cite

show abstract

“…Two studies analysed bike-sharing systems and personal mobility. Balacco et al [188] sought to determine the number of docks at electric bicycle charging stations, with a charging system based on pumps used as turbine, and Kwag et al [159] to determine the installation of wireless charging infrastructure (both static and dynamic) at tourist locations, considering electric scooters.…”

Section: Technology and Energymentioning

confidence: 99%

A Comprehensive Survey and Future Directions on Optimising Sustainable Urban Mobility

Borchers,

Wittowsky,

Augusto Souza Fernandes

2024

IEEE Access

View full text Add to dashboard Cite

Climate change is currently the biggest environmental threat, being the cities responsible for a significant impact on greenhouse gas emissions. In this sense, the transport sector is among the main causes for both emissions and the depletion of non-renewable resources. Considering this scenario, there is an appeal to build more accessible, smart, sustainable and energy-efficient cities, promoting energy transition in urban systems and increasing the quality of urban life. This review aims to analyse transport and urban mobility studies that employ optimisation techniques to achieve environmental, sustainability or climate change mitigation goals. After an overview regarding modelling aspects of how such goals were addressed, the nature of the objective functions, the perspectives considered, and the network application, such studies were classified into five areas and further detailed. The areas comprise: (i) planning and policy-making; (ii) environmental variables; (iii) demand and traffic management; (iv) technology and energy; and (v) nonspatial measures. In this sense, future research directions should include optimisation models that consider the social aspects of transport and the interests of passengers, operators and the community simultaneously, improve the modelling of environmental impacts to increase its robustness, and deal with large network problems.INDEX TERMS Climate change, Greenhouse gas (GHG) emissions, Optimisation, Passenger urban transport, Sustainable mobility.

show abstract

“…These chargers must enable safe, controlled and autonomous recharging. Wireless chargers are highlighted as one of the potential solutions for personal mobility transport [8], which provides a safe charging while it avoids dealing with different grid connectors [9]. In this paper, we present a wireless charger for an e-scooter.…”

Section: Introductionmentioning

confidence: 99%

Optimized Design of a Wireless Charger Prototype for an e-Scooter

et al. 2023

View full text Add to dashboard Cite

Individual mobility vehicles are revolutionizing transportation in the urban environment. Among them, e-scooters are one of the fastest growing vehicles. However, these vehicles have some drawbacks such as incompatibility among different chargers or reduced autonomy, which especially affects e-scooters rental. Wireless charging is presented as a solution to these drawbacks since it allows the batteries to be charged without user intervention. This paper addresses the design process and implementation details related to a magnetic-resonance charger for an e-scooter. In contrast to the previous works, we present a comprehensive approach that addresses the design of the coil topology, the dimensions of the ferrite tiles, the definition of the gap and the optimised control for a CC-CV charge. The main contribution of the work is the consideration of all these issues jointly while we also take into account the vehicle's materials and structure for an accurate design and implementation. The dimensions of the vehicle impose a strong restriction on the coil design. Therefore, a detailed analysis about the location of the secondary and primary coils in a real e-scooter is executed with Ansys Maxwell. The study about the geometries of ferrite tiles is also performed considering the particularities of this type of vehicle. This study led to an optimal solution for the coil geometries and ferrite placement that minimizes the costs. The proposed system has been validated with the implementation of a real prototype of 100 W, to which a CC-CV control has been incorporated to achieve a safe charge for different battery states. The control can be easily adapted for a wide range of e-scooters. In this way, the use of this type of chargers on public installations can be maximized.

show abstract

Sustainable Electric Personal Mobility: The Design of a Wireless Charging Infrastructure for Urban Tourism

Cited by 15 publications

References 23 publications

Efficient Expansion Algorithm of Urban Logistics Network for Medical Products Considering Environmental Impact

Efficient Expansion Algorithm of Urban Logistics Network for Medical Products Considering Environmental Impact

A Comprehensive Survey and Future Directions on Optimising Sustainable Urban Mobility

Optimized Design of a Wireless Charger Prototype for an e-Scooter

Contact Info

Product

Resources

About