• Title/Summary/Keyword: Electric-Vehicles

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Charging Control Strategy of Electric Vehicles Based on Particle Swarm Optimization

  • Boo, Chang-Jin
    • Journal of IKEEE
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    • v.22 no.2
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    • pp.455-459
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    • 2018
  • In this paper, proposed a multi-channel charging control strategy for electric vehicle. This control strategy can adjust the charging power according to the calculated state-of-charge (SOC). Electric vehicle (EV) charging system using Particle Swarm Optimization (PSO) algorithm is proposed. A stochastic optimization algorithm technique such as PSO in the time-of-use (TOU) price used for the energy cost minimization. Simulation results show that the energy cost can be reduced using proposed method.

A Study for Development of Integrated DC Railway System Analysis Algorithm (도시철도 급완행 통합해석 알고리즘 개발에 관한 연구)

  • Jang, Dong Uk;Kim, Moo Sun;Hong, Jae Sung;Lee, Hansang
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.64 no.4
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    • pp.646-652
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    • 2015
  • Increasing needs for rapid driving vehicles during rush hour, there are various researches how to operate or allocate rapid driving vehicles with the existing normal driving vehicles. In the aspect of power system, it should be preceded by an analysis for power equipment capacity. Also, it should be studied whether the added rapid driving vehicles gives a bad effects for stable operation of railway systems or not. In order to derive the results for these analysis processes, this paper suggest a novel analysis algorithm which can implement integrated analysis including rapid and normal driving railway vehicles simultaneously. This algorithm has been verified using Seoul Metro 7 Line data.

The Efficiency Characteristics of Electric Vehicle (EV) According to the Diverse Driving Modes and Test Conditions (다양한 주행모드 및 시험 조건에 따른 전기자동차 효율 특성)

  • LEE, MIN-HO;KIM, SUNG-WOO;KIM, KI-HO
    • Journal of Hydrogen and New Energy
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    • v.28 no.1
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    • pp.56-62
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    • 2017
  • Although most electricity production contributes to air pollution, the vehicle organizations and environmental agency categorizes all EVs as zero-emission vehicles because they produce no direct exhaust or emissions. Currently available EVs have a shorter range per charge than most conventional vehicles have per tank of gas. EVs manufacturers typically target a range of 160 km over on a fully charged battery. The energy efficiency and driving range of EVs varies substantially based on driving conditions and driving habits. Extreme outside temperatures tend to reduce range, because more energy must be used to heat or cool the cabin. High driving speeds reduce range because of the energy required to overcome increased drag. Compared with gradual acceleration, rapid acceleration reduces range. Additional devices significant inclines also reduces range. Based on these driving modes and climate conditions, this paper discusses the performance characteristics of EVs on energy efficiency and driving range. Test vehicles were divided by low / high-speed EVs. The difference of test vehicles are on the vehicle speed and size. Low-speed EVs is a denomination for battery EVs that are legally limited to roads with posted speed limits as high as 72 km/h depending on the particular laws, usually are built to have a top speed of 60 km/h, and have a maximum loaded weight of 1,400 kg. Each vehicle test was performed according to the driving modes and test temperature ($-25^{\circ}C{\sim}35^{\circ}C$). It has a great influence on fuel efficiency amd driving distance according to test temperature conditions.

A Study on the Quantitative Risk Assessment of Mobile Hydrogen Refueling Station (이동식수소스테이션 정량적 위험성평가에 관한 연구)

  • KIM, DONG-HWAN;LEE, SU-MIN;JOE, CHOONG-HEE;KANG, SEUNG KYU;HUH, YUN-SIL
    • Journal of Hydrogen and New Energy
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    • v.31 no.6
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    • pp.605-613
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    • 2020
  • In July and October of this year, the government announced the 'Green new deal plan within the Korean new deal policy' and 'Strategies for proliferation of future vehicles and market preoccupation'. And, in response to changes in the global climate agreement, it has decided to expand green mobility such as electric vehicles and hydrogen electric vehicles with the aim of a "net-zero" society. Accordingly, the goal is to build 310 hydrogen refueling stations along with the supply of 60,000 hydrogen vehicles in 2022, and the hydrogen infrastructure is being expanded. however, it is difficult to secure hydrogen infrastructure due to expensive construction costs and difficulty the selection of a site. In Korea, it is possible to build a mobile hydrogen station according to the safety standards covering special case of the Ministry of Industry. Since the mobile hydrogen station can be charged while moving between authorized place, it has the advantage of being able to meet a large number of demands with only one hydrogen refueling station, so it is proposed as a model suitable for the early market of hydrogen infrastructure. This study demonstrates the establishment of a hydrogen refueling station by deriving a virtual accident scenario for leakage and catastrupture for each facility for the risk factors in a mobile hydrogen station, and performing a quantitative risk assessment through the derived scenario. Through the virtual accident scenario, direction of demonstration and implications for the construction of a mobile hydrogen refueling station were derived.

A Study on the Fire Risk of High-voltage Cables for Electrical Vehicles (전기차용 고전압 케이블의 화재 위험성에 관한 연구)

  • Sin Dong Kang;Ye Jin Park;Si Hyun Kim;Jae-Ho Kim
    • Journal of the Korean Society of Safety
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    • v.38 no.4
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    • pp.8-14
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    • 2023
  • This study presents the characteristics of short circuits (SCs) caused by excessive currents in high-voltage cables used in electric vehicles and emphasizes the need to calculate the cross-sectional areas of these cables according to the SC current. Three direct current power supplies were connected in parallel to test the SC characteristics caused by excessive currents, and a timer and a magnetic contactor were used to deliver the conduction time and SC current. A circular infrared-radiation heater was used to test the temperature-dependent SC characteristics, a thermocouple was used to measure the temperature, and a shunt resistor was used to measure the current. As the SC current increased, the fusing time of the cable decreased. Additionally, a high-voltage cable (with an area of 16 mm2 ) used in electric vehicles fused when a current (approximately equal to 55 times the allowable current) flowed for 0.2 s (operating time of the protective device). When the SC current is 10 kA, the cable may fuse during the operating time of the protective device, thus creating a fire hazard. In electric vehicles, the size of the SC current increases in proportion to the capacity of the battery. Thus, the cross-sectional areas of the cables used should be calculated accordingly, and cable operations should be properly coordinated with the surrounding protective devices.

A Case Study on Quality Improvement of Electric Vehicle Hairpin Winding Motor Using Deep Learning AI Solution (딥러닝 AI 솔루션을 활용한 전기자동차 헤어핀 권선 모터의 용접 품질향상에 관한 사례연구)

  • Lee, Seungzoon;Sim, Jinsup;Choi, Jeongil
    • Journal of Korean Society for Quality Management
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    • v.51 no.2
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    • pp.283-296
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    • 2023
  • Purpose: The purpose of this study is to actually implement and verify whether welding defects can be detected in real time by utilizing deep learning AI solutions in the welding process of electric vehicle hairpin winding motors. Methods: AI's function and technological elements using synthetic neural network were applied to existing electric vehicle hairpin winding motor laser welding process by making special hardware for detecting electric vehicle hairpin motor laser welding defect. Results: As a result of the test applied to the welding process of the electric vehicle hairpin winding motor, it was confirmed that defects in the welding part were detected in real time. The accuracy of detection of welds was achieved at 0.99 based on mAP@95, and the accuracy of detection of defective parts was 1.18 based on FB-Score 1.5, which fell short of the target, so it will be supplemented by introducing additional lighting and camera settings and enhancement techniques in the future. Conclusion: This study is significant in that it improves the welding quality of hairpin winding motors of electric vehicles by applying domestic artificial intelligence solutions to laser welding operations of hairpin winding motors of electric vehicles. Defects of a manufacturing line can be corrected immediately through automatic welding inspection after laser welding of an electric vehicle hairpin winding motor, thus reducing waste throughput caused by welding failure in the final stage, reducing input costs and increasing product production.