• Journal of the Korean Society of Industry Convergence
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• v.25 no.4_1
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• pp.493-504
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• 2022

Recently, as interest in eco-friendliness grows, the supply of hybrid electric vehicles and pure electric vehicles (EVs) for improving fuel efficiency of automobiles is rapidly expanding. The average daily energy consumption of electric vehicles is less than 20 [%] of the total ESS capacity of the vehicle, and research on additional functions using the ESS of the vehicle is urgently needed to expand the supply of electric vehicles. V2H(Vehicle to Home), like V2G(Vehicle to Grid), includes the concept of cooperating with system stabilization using ESS of electric vehicles. In addition, it includes various operations that can realize home welfare, such as uninterrupted power supply in case of power outage at home, and power supply for home DC devices. Therefore, in order to expand the supply of eco-friendly electric vehicles, it is urgently required to develop a V2H system with various functions that can realize home welfare. In this paper, we propose a V2H system with a CLLC resonant converter and a non-isolated step-up converter that can solve different impedance and resonant frequencies depending on the power transfer direction. The proposed V2H system is 6 [kVA] applicable to 150-450 [V], the voltage range that can use the ESS voltage for electric vehicles, and is designed with a capacity that can handle instantaneous electricity use at home. In addition, in order to verify the feasibility, an experiment by Psim simulation and prototype production was performed.

• International Journal of Computer Science & Network Security
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• v.24 no.4
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• pp.87-106
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• 2024

Vehicle-to-Home (V2H) and Home Centralized Photovoltaic (HCPV) systems can address various energy storage issues and enhance demand response programs. Renewable energy, such as solar energy and wind turbines, address the energy gap. However, no energy management system is currently available to regulate the uncertainty of renewable energy sources, electric vehicles, and appliance consumption within a smart microgrid. Therefore, this study investigated the impact of solar photovoltaic (PV) panels, electric vehicles, and Micro-Grid (MG) storage on maximum solar radiation hours. Several Deep Learning (DL) algorithms were applied to account for the uncertainty. Moreover, a Reinforcement Learning HCPV (RL-HCPV) algorithm was created for efficient real-time energy scheduling decisions. The proposed algorithm managed the energy demand between PV solar energy generation and vehicle energy storage. RL-HCPV was modeled according to several constraints to meet household electricity demands in sunny and cloudy weather. Simulations demonstrated how the proposed RL-HCPV system could efficiently handle the demand response and how V2H can help to smooth the appliance load profile and reduce power consumption costs with sustainable power generation. The results demonstrated the advantages of utilizing RL and V2H as potential storage technology for smart buildings.

• Hwankyungkyoyuk
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• v.22 no.1
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• pp.97-109
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• 2009

The purpose of this study is to grasp the degree of recognition of the ESD(Education for Sustainable Development) form Technology Home Economic teachers in high schools, to analyze contents related to the ESD within the textbooks, and to propose the improvement method of the textbooks. As a result, first, the degree of recognition on the ESD was less than about 30.1% in Technology Home Economic teachers. Second, the content and factor criterions for the ESD were developed on the basis of the previous studies. They are suitable for applying to the Vehicle Chapter in the textbooks and are including 9 contents and 7 factors, respectively. Third, the contents related to the ESD within a Technology. Home Economic textbook showed 36.1% in Technology, 33.8% in Home Economics including social and cultural(44.7%), environmental(47.1%), and economic contents(8.2%). But they in the Vehicle Chapter within the textbooks presented 69.1%, 4.8%, 26.1% in social and cultural, environmental, and economic contents, respectively. Finally, the improvement method of the new textbook for the Vehicle Chapter is to adopt issued factors including the suitable adjustment on the vehicle structure and safety as well as the supplement of environmental contents related to the ESD. In addition, it is necessary to contain the contents such as the developing process of environment-friendly vehicles, the economically sustainable consumption strategy, and the cause-and-effect relationship with the global warming in the new textbook.

• Journal of Auto-vehicle Safety Association
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• v.8 no.2
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• pp.30-36
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• 2016

According to revolutionary developments in automobile technologies, various electronically controlled components of vehicles are rapidly increasing. A variety of advanced vehicles (hybrid vehicle, hydrogen fuel-cell vehicle, electric vehicle, etc.) using electrical energy source are increasing, too. The electromagnetic compatibility is getting more important for development of a vehicle because those advanced vehicles are equipped with more new electronic systems. In general, electromagnetic compatibility tests consist of an electromagnetic interference (EMI) test and an electromagnetic susceptibility (EMS) test. In this paper, in order to investigate the electromagnetic interference in the cabin of vehicle by various electric and electronic components of vehicles, a series of narrowband electromagnetic emission tests are conducted. For comparison, the several digital home appliances (smartphone under charging, laptop compuer and digital camera), which are used a lot in daily lives, are tested.

• The Journal of the Convergence on Culture Technology
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• v.5 no.2
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• pp.367-373
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• 2019

As the number of Battery Electric Vehicle (BEV) is increasing dramatically Vehicle-to-Grid (V2G) te chnology also has been spotlight from industry and academia recently. With help of V2G technology Battery of EV can play many important roles like as energy storage system (ESS) and electric energy resource in Smart Grid environment. This paper provides comprehensive review of Vehicle-to-Home(V2H), Vehicle-to-Building(V2B) and Vehicle-to-Grid(V2G) technologies. The economical analysis of these technologies is also discussed.

• Journal of Digital Convergence
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• v.11 no.7
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• pp.141-148
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• 2013

Smart grid can two-way communication using ICT(Information & Communication Technology). Also, smart grid can supply to dynamic power that grafted to electric vehicle can activate to electric vehicle charging infrastructure and used to storage battery of home. Storage battery of home can resale to power provider. These electric vehicle charging infrastructure locate fixed on home, apartment, building, etc charging infrastructure that used fluid on user. If don't authentication for user of fluid user use to charging infrastructure, electric charging service can occurred to illegal use, electric charges and leakgage of electric information. In this paper, we propose smartcard and dynamic ID based user authentication scheme for used secure to electric vehicle service in smart grid environment.

• Proceedings of the Korea Association of Information Systems Conference
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• 1996.11a
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• pp.199-204
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• 1996

It is discussed how to determine the home location of idle vehicles in an AGVS with a loop guide path in a way of maximizing the request-call response probabilities for all demand. Optimal home position is selected by solving the simultaneous equations easily. Static positioning strategy is analyzed in which a single home position is allocated to which every vehicle is routed whenever it becomes idle. The cases of unidirectional guidepath is considered only. We provide a numerical example to illustrate the search algorithm developed for the case and compare the searched optimal solutions with the others.

• The Journal of the Korea institute of electronic communication sciences
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• v.15 no.1
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• pp.53-60
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• 2020

With the major advancement of vehicle-related technologies and services, the demands for the in/out-vehicle service expansion increase significantly. The key importance of the service expansion is to provide various vehicle-centric services in addition to improve the convenience and usability of users with connectivity. Recently, Internet of Things (IoT) gains major attention for small device connectivity and service, and it widens its area to other industries including automotive to advance and diversify its services. In this paper, we investigated the technical direction of the IoT service with the analysis of IoT technologies in the perspective of the vehicle. At first, we analyzed the vehicle and IoT services in each so that we are able to suggest the service design guideline and consideration to release integrated services between vehicle and IoT. Also, we reviewed the cases of few vehicle and home IoT integration services for the major insights and future direction of the integration services.

• Journal of the korean Society of Automotive Engineers
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• v.5 no.1
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• pp.54-62
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• 1983

This paper presents structural analyses performed on the white body of vehicle using the most competitive analyzer, Finite Element Method, and attempts to obtain design criteria of body. By applying the substructure and restart technique to structural model, computation time is reduced. The synthetic processing from modelling to graphic visualization is accomplished by several subprograms, viz., various pre-post processors. On the basis of home-made vehicle modeling, typical cases of accident and service load is analyzed and discussed. The results obtained will guide the designer to design the structure optimally.

• IE interfaces
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• v.22 no.4
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• pp.359-367
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• 2009

The vehicle travel time between the demand points in downtown area is greatly influenced by complex road condition and traffic situation that change real time to various external environments. Most of research in the vehicle routing problems compose vehicle routes only considering travel distance and average vehicle speed between the demand points, however did not consider dynamic external environments such as traffic situation by service time zones. A realistic vehicle routing problem which considers traffic situation of smooth, delaying, and stagnating by three service time zones such as going to work, afternoon, and going home was suggested in this study. A mathematical programming model was suggested and it gives an optimal solution when using ILOG CPLEX. A hybrid genetic algorithm was also suggested to chooses a vehicle route considering traffic situation to minimize the total travel time. By comparing the result considering the traffic situation, the suggested algorithm gives better solution than existing algorithms.