• Transactions of the Korean hydrogen and new energy society
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• v.30 no.4
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• pp.362-368
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• 2019

Electric vehicles contribute greatly to energy conservation, $CO_2$ reduction and energy security through high fuel economy and various electric sources. Electric cars have a huge economic impact. More than 14 million hybrid electric cars have been sold worldwide. More than 3 million plug-in electric vehicles have been sold worldwide. The environmental impact depends greatly on the amount of national power generation, and as the electric grid becomes more and more carbon-intensive, countries are increasingly adopting hybrid and electric vehicles. Electricity is expanding beyond cars. Electric buses, trucks, and ships have similar benefits.

• International Journal of Advanced Culture Technology
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• v.11 no.2
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• pp.330-344
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• 2023

This research report cuts across management sciences (market strategy entry mode development) and innovative technology (Electric Vehicle (EV)) alongside measures to submerge global warming. The development of a successful entry mode for the electric Vehicle into the African continent is the main objective of the study. The study focuses on an analysis of how electric car manufacturers can enter the African market in other to achieve global sustainability and social responsibility. The methodology is based on identifying the factors that affect the choice of an entry mode into international markets by multinational companies desiring to leverage their revenue through a foreign market. It also offered a quantitative approach that can support the economic and sustainability entry mode model for EVs and a qualitative approach of Porter's five forces analysis as an entry mode coaching tool for EVs. These proxies are used in quite a wide range of multivariate statistical methods (trend analysis, ratio, and probability, comparative t-test technique, auto-regression, and ordinary least square technique). The result acknowledges joint venture and setting of the plant (physical presents) as the optimal entry mode in African EV market. It requires the EV manufacturers a tire-free emission innovation technology in order to optimize the global sustainability initiative.

• Journal of the Korea Convergence Society
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• v.10 no.6
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• pp.191-201
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• 2019

This study aims at understanding the fundamental characteristics of EV consumer based upon user survey and understanding the challenges to promote EV adoption in Korea. Data are obtained from two different surveys. One asked 304 EV buyers in Korea and another asked 905 prospective customer about EV awareness and perception, EV purchase intention, and etc. Analysis is composed of two parts; one is about the general characteristics and purchase intention of general consumers; another is about the intent to repurchase EV owners. We discuss the policy implications to expand EV demand in Korean market based on two purchase and repurchase logit models.

• KEPCO Journal on Electric Power and Energy
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• v.1 no.1
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• pp.67-71
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• 2015

The concept known as Vehicle-to-Grid (V2G) is to provide power to help balance loads by charging at night when demand is low and sending power to the grid when demand is high. Therefore, it is important to model the cost-benefit characteristics of Electric vehicle(EV)'s operation considering the negawatt market in real time. This paper proposes a methodology to formulate the various costs and economic benefits for sending the EV's power back to the grid, including a concept of inconvenience costs caused by operating the EV as a battery. This paper also introduces the general decision-making process based on the cost-benefit analysis in order to simulate the reasonable participation of V2G service. In the case study, it is confirmed by two-case simulations that the proposed approach is useful to help EV owners' decision-making. In the future, it is expected that the proposed methodology can be used as a decision-making guideline to help prepare the EV' power transmission.

• Journal of Technology Innovation
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• v.23 no.3
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• pp.137-167
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• 2015

Based on the stakeholder theory, this paper analyzes a clash of standards in Korea's Electric Vehicle(EV) market, particularly between an EV charging standard and a smart grid communication standard in 2012~2013. For charging, EV is connected with the electric power grid and simultaneously exchanges data regarding the charging status. When EV is connected with the power grid, a clash between two standards may arise. It actually happened when BMW entered into the Korean EV market with the DC Combo charging system. In that course, the frequency interference occurred between the EV data communication technology adopted by BMW and the AMI(Advanced Metering Infrastructure) for the smart grid system in Korea. Standardization of Korea's EV charging systems was required to solve this problem. However, it had been delayed due to the confrontation between various stakeholders involved in the process of standardization. It lasted until the DC combo was accepted as one of the Korea EV charging standards(KSAE SAE 1772-2040, 2014.1) by KSAE(The Korea Society of Automotive Engineers) in January 2014. This is an interesting case in the age of convergence. As it deals with the standard competition not among EV standards, but a clash between the EV industry and the smart grid, i.e. electric power industry, it addresses the necessity to consider standardization processes between different industries. This study draws on the stakeholder theory to analyse the dynamics of the standard clash between EV charging systems and the smart grid system, which is a unique example of standard clash between different industries. We expect such clashes to increase in the age of convergence.

• The Transactions of the Korean Institute of Electrical Engineers P
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• v.61 no.2
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• pp.59-66
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• 2012

Recently, the market of Electric Vehicle(EV) is increasing more and more than before. Thus a new heater for the EV is required. The PTC devices may be used the heater for the EV. In this paper, a simple DC-DC Converter is proposed as the PTC Heater for the EV. The proposed circuit was optimally desired to decrease the stress of the power devices and reduce the current ripples. To apply the result of the test in the laboratory to the actual EV system with the high DC voltage, ripple current, average current and output peak current are predicted by using the least-squares method. Finally, the proposed circuit is validated by various experiments.

• Journal of Distribution Science
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• v.18 no.9
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• pp.31-43
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• 2020

Purpose: This study examined a comprehensive model for assessing the success probability of electric vehicle (EV) commercialization in the Korean market. The study identified three risks associated with successful commercialization which were technology, social, policy, environmental, and consumer risk. Research design, methodology: The assessment of the riskiness was represented by a Bayes belief network, where the probability of success at each stage is conditioned on the outcome of the preceding stage. Probability of success in each stage is either dependent on input (i.e., investment) or external factors (i.e., air quality). Initial input stages were defined as the levels of investment in product R&D, battery technology, production facilities and battery charging facilities. Results: Reasonable levels of investment were obtained by expert opinion from industry experts. Also, a survey was carried out with 78 experts consisting of automaker engineers, managers working at EV parts manufacturers, and automobile industry researchers in government think tanks to obtain the conditional probability distributions. Conclusion: The output of the model was the likelihood of success - expressed as the probability of market acceptance - that depended on the various input values. A model is a useful tool for understanding the EV industry as a whole and explaining the likely ramifications of different investment levels.

• Journal of the Korean Institute of Gas
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• v.23 no.1
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• pp.54-61
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• 2019

As the market for portable electronic devices expands, the demand for Lithium Ion Battery (LIB) is also increasing. LIB has higher efficiency than other secondary batteries, but there is a risk of explosion / fire due to thermal runaway reaction. Especially, Electric Vehicles (EV) equipped with a large capacity LIB cell also has a danger due to a large amount of toxic gas generated by a fire. Therefore, it is necessary to analyze the risk of toxic gas generated by EV fire to minimize accident damage. In this study, the flow of toxic gas generated by EV fire was numerically analyzed using Computational Fluid Dynamic. Scenarios were established based on literature data and EV data to confirm the effect distance according to time and exposure standard. The purpose of this study is to analyze the risk of toxic gas caused by EV fire and to help minimize the loss of life and property caused by accidents.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2022.06a
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• pp.201-203
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• 2022

Increasing global market of used electric vehicle (EV) battery encourages international firms to establish its subsidiary companies or business units specializing in battery recycling. Such kind of companies predominantly use closed loop supply chain (CLSC) for their operations of battery manufacturing and used battery recycling/reusing in global scale. However, EV battery recycling, as a relatively new industry, makes its global CLSC be exposed to various types of risks, which leads to inefficiency of supply processes and makes supply chains more complicated and vulnerable. Identifying, evaluating, and analyzing possible risks in CLSC has a great importance for optimization and increasing effectiveness for the global supply chain of used EV battery. Itwill assist to elaborate the efficient CLSC management and possible risk mitigation strategies to keep the global EV battery supply chain resilient and sustainable. This study aims to develop a conceptual framework for risk assessment in this new sector. Therefore, it will populate the framework with possible failure modes identified from various literature on EV battery recycling and closed loop supply chains so that future research can validate and utilize the conceptual framework.

• Journal of Internet Computing and Services
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• v.21 no.5
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• pp.119-127
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• 2020

As the electric vehicle (EV) market in South Korea grows, it is required to expand charging facilities to respond to rapidly increasing EV charging demand. In order to conduct a comprehensive facility planning, it is necessary to forecast future demand for electricity and systematically analyze the impact on the load capacity of facilities based on this. In this paper, we design and develop a Long Short-Term Memory (LSTM) neural network model that predicts the daily peak electric load at each charging station using the EV charging data of KEPCO. First, we obtain refined data through data preprocessing and outlier removal. Next, our model is trained by extracting daily features per charging station and constructing a training set. Finally, our model is verified through performance analysis using a test set for each charging station type, and the limitations of our model are discussed.