• 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.

• Proceedings of the KIPE Conference
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• 1999.07a
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• pp.303-306
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• 1999

Traction system of 2-motor driven electric vehicle(EV) is consisted of motor(IPMSM), inverter, and battery. In order to enhance dynamic characteristics of the system, such driving conditions as acceleration ability and load(current magnitude) should be considered in the vector control algorithm for the IPMSM. So, in this paper, the most suitable structure of vector control algorithm for the EV is considered. Conformity had been verified through experimental results.

• Proceedings of the KIEE Conference
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• 2009.07a
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• pp.867_868
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• 2009

Interior permanent magnet synchronous motor [IPMSM] which has high power density is applied to motor for Hybrid electric vehicle[HEV], Electric vehicle[EV], Fuel cell electric vehicle[FCEV] and electric home appliances. In order to improve efficiency performance of IPMSM, this paper presented a study by making a hole around air barrier. Because concentrated rib stress is distributed by suitable hole, the hole can reduce rib thickness of IPM rotor. And it can help decrease PM[Permanent Magnet] leakage flux. Saliency ratio($L_q/L_d$) is also increased by magnetic circuit change. For this study, structure analysis of rotor is performed by Ansys program.

• Journal of Hydrogen and New Energy
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• v.32 no.4
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• pp.263-270
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• 2021

In this study, we proposed the necessity of reusing the battery industry after domestic use, preparing legal arrangements by step for recycling, clarifying responsible materials by processing stage, and establishing infrastructure and screening diagnostic rating system. The purpose of this study is to establish a life cycle integrated management system for electric vehicle batteries and to find suitable ways for improving the lifespan of electric vehicle batteries, reuse, and recycling in stages to avoid other environmental pollution problems due to batteries after using electric vehicles used to reduce environmental pollution due to climate change.

• International Journal of Internet, Broadcasting and Communication
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• v.15 no.2
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• pp.202-209
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• 2023

This study aims to analyze the correlation between semiconductor innovation and market dominance in the mobility electric vehicle industry. To this end, the study presentsstrategiesthat provide low-price competitiveness along with high-value creation in the electric vehicle and semiconductor markets. The first change in the era of high interest rates is to overcome the crisis of survival for value. Furthermore, the study acknowledges the ongoing second wave of change as the digital technology's value continues to rise, and companies experience decreased productivity due to rising ESG labor costs. The study analyzed price competitiveness in the context of the increased adoption of electric vehicles and the integration of semiconductor prices, proving that Tesla and Samsung Semiconductor have developed technology to dominate the market, with appropriate low-cost strategies applied as the value of innovation declines.

• Tribology and Lubricants
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• v.40 no.4
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• pp.111-117
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• 2024

Due to global CO₂ emission reductions and fuel efficiency regulations, the trend toward transitioning from internal combustion engine vehicles to electric vehicles (EVs) has accelerated. Consequently, the problem of EV failures has become a focal point of active research. The parasitic capacitance generated during motor-shaft rotation induces voltage that deteriorates the raceway and ball surfaces of bearings, causing electrical damage in EVs. Despite numerous attempts to address this issue, most studies have been conducted under high viscosity lubricant and low load conditions. However, due to factors such as high-speed operation, rapid acceleration and deceleration, motor heating, and motor system-decelerator integration, current EV applications have shown diminished stability in lubrication films of motor bearings, thereby leveraging the investigation to address the risk of electrical damage. This study investigates the electrical damage to rolling bearing elements in EV motor drive systems. The experimental analysis focuses on the effects of electric currents and operational loads on bearing integrity. A test rig is designed to generate high-rate voltage specific to a motor system's parasitic capacitance, and bearing samples are exposed to these currents for specified durations. Component evaluation involves visual inspections and vibration measurements. In addition, a predictive model for electrical failure is developed based on accumulated data, which demonstrates the ability to predict the likelihood of electrical failure relative to the duration and intensity of current exposure. This in turn reduces uncertainties in practical applications regarding electrical erosion modes.

• The Transactions of the Korean Institute of Power Electronics
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• v.4 no.4
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• pp.357-367
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• 1999

When traction system of 2-motor driven electric vehicle(EV) is consisted of two motors (IPMSM) . two inverters. and one traction controller, control performances of IPMSM for an electric vehicle is affected by parameter variation b because of large current magnitude and wide current phase angle. To solve this problem, new parameter estimator for L Ld and Lq is constructed by neu때 network technique. And new vector control algorithm with parameter estimator by n neural network is proposed for IPMSM.And also. an advanced traction control algorithm is proposed using fuzzy c controller in order to enhance the driveability oftwo-wheel drive EVs with fitted with a traction control system Performances of the proposed algorithm are examined by simulations and the experimental resul않 with respect to t the prototype IPMSM and EV.

• Proceedings of the KIEE Conference
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• 2011.07a
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• pp.1141-1142
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• 2011

An electrical vehicle (EV) is a huge issue in the automotive industry. The EV have many electrical units: electric motors, batteries, converters, ets. The DC power distribution system (PDS) is essential for the EV. The DC PDS offers many advantages. However, multiple loads in the DC PDS may affect the severe instability on the DC bus voltage. Therefore, a voltage bus conditioner (VBC) may use the DC PDS. The VBC is used to mitigate the voltage transient on the bus. In this paper, sliding mode controller (SMC) is designed for the VBC of DC PDS in the EV. The simulation results by PISM simulation package are presented for validating the proposed control technique.

• Proceedings of the KIPE Conference
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• 2013.07a
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• pp.453-454
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• 2013

본 논문은 EV(Electric Vehicle) 자동차에 사용되는 배터리의 충/방전 전류에 따른 SOC (State of Charge) 및 전압특성을 시뮬레이션으로 구현 및 검증하기 위하여, 양방향 DC-DC 컨버터를 설계 및 구현을 하였다. 실험을 통해 EV 자동차의 도심 주행 모드(FTP-75) 충/방전 전류 패턴을 재현 하였다. 제어기법으로는 PI전류 제어를 사용 하였으며, 배터리 전류 리플을 최소화하기 위하여 L-C-L필터를 사용 하였다.

• Journal of the Korean Society of Manufacturing Technology Engineers
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• v.21 no.1
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• pp.90-94
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• 2012

This study evaluates the strength of surface treatment parts using the hard anodizing method to the aluminum alloy brake disks. In order to achieve weight reduction of vehicles, Eco-friendly cars parts of the high-quality and competitive price is to equip. Especially while pursuing parts of weight reduction, it has to maintain the strength of the surface of the brake by nature. To enhance surface strength of aluminum alloy, we use hard anodizing technology in the surface treatment. This study is resulted of 3 times greater the hardness value of the hard anodized specimen than the aluminum alloy specimen for the lightweight parts of EV brake disk