scholarly journals Photovoltaic Actuated Induction Motor for Driving Electric Vehicle

The paper depicts about the photovoltaic actuated induction motor for driving electric vehicle, helps in improving the efficiency of electric vehicles, the advance “power electronic interface” is used. System efficiency and reliability are improved by this proposed idea, and current or voltage ripple can be effectively reduced. Using this proposed model reduces the component’s dimensions (active and passive), thus reducing costs and this technology reducing stress on switching devices. The designing and analysis of proposed model is done by using MATLAB / Simulink.

2021 ◽  
Vol 850 (1) ◽  
pp. 012036
Author(s):  
R Latha ◽  
S Adharsh Babu ◽  
M Vivek Kumar

Abstract Electric vehicles are the future of mobility solutions. The electric vehicles are driven by an electric motor with the help of a power electronic interface. The power electronic interface needs to be designed in an efficient way both in mechanical and electrical aspects. This paper proposes the concept of design, simulation and analysis of a 10 kW Multi-Device Interleaved DC-DC Boost Converter (MDIBC) to drive a 4 kW Induction Motor. The motor is driven from the MDIBC through an inverter with SPWM technique. The variation in DC link voltage due to motor is controlled and stabilized to give a constant DC of 400 V. MDIBC consists of semi-controlled switches topology excited by Phase Shifted PWM technique to reduce the ripple current in interleaving inductors. The dual loop control methodology using PI controller is adopted to reduce the ripple in input inductor current and DC link voltage. The open loop simulation and closed loop simulation are done in MATLAB Simulink environment. The simulation results show that the overshoots and steady state error in inductor currents and output voltage are reduced in addition with reduction in current and voltage ripples.


2022 ◽  
pp. 1-24
Author(s):  
Isa S. Qamber ◽  
Mohamed Y. Alhamad

The movements for any type of electric vehicle (EV) can be powered by wheels or driven by rotary motors. EVs derive their power from various sources, including fossil fuels. In the long term, reducing the cost of electrically powered vehicles (EDV) is seen as an essential ingredient to increase consumer acceptance. In addition, it aims to reduce the weight and volume of EDV. Moreover, the focus is on improving the performance, efficiency, and reliability of the EDV. The development of innovative modules is important when the acceleration of production and marketing needs to be improved. Consumers are looking for the production and transmission of electrical energy. This contributes to a greener environment. One of the most important parts of an EV is its battery. A proposed model presented in this chapter considers several parameters: solar radiation (PV panels), EV backup battery, and main charger. The model allows energy storage to be developed efficiently.


2017 ◽  
Vol 9 (1) ◽  
pp. 168781401668314 ◽  
Author(s):  
Yu Wang ◽  
Enli Lü ◽  
Huazhong Lu ◽  
Nong Zhang ◽  
Xingxing Zhou

This article develops a systematic model to study electric vehicle powertrain system efficiency by combining a detailed model of two-speed dual-clutch transmission system efficiency losses with an electric vehicle powertrain system model. In this model, the design factors including selection of the electric machine, gear ratios’ change, multi-plate wet clutch design, and gear shift schedule design are considered. Meanwhile, the application of detailed model for drag torque losses in the gearbox is discussed. Furthermore, the proposed model, developed with the MATLAB/Simulink platform, is applied to optimize/maximize the efficiency of the electric vehicle powertrain system using genetic algorithms. The optimization results demonstrate that the optimal results are different between simulations via New Europe Drive Cycle and Urban Dynamometer Driving Schedule, and comprehensive design and optimization of the powertrain system are necessary.


1996 ◽  
Vol 116 (3) ◽  
pp. 256-264
Author(s):  
Takayuki Mizuno ◽  
Kazuo Tsuboi ◽  
Isao Hirotsuka ◽  
Shintaro Suzuki ◽  
Isao Matsuda ◽  
...  

2018 ◽  
Vol 10 (8) ◽  
pp. 2888 ◽  
Author(s):  
Jie Ma ◽  
Lin Cheng ◽  
Dawei Li ◽  
Qiang Tu

In recent years, many countries have published their timetables to promote electric vehicles. Many researches have focused on the benefits of electric vehicles. Compared with gas vehicles, electric vehicles are more suitable for modern cities, because they are considered to be environment-friendly by the public. Hence we pay attention to the environmental costs of electric vehicles. In this paper, an electric vehicle network is established. To analyze this electric vehicle network, we define environmental costs for the network and propose a stochastic user equilibrium model to describe drivers’ route choice behavior. An algorithm is proposed to solve this model. The model and the algorithm are illustrated through a numerical example. We test the calculation feasibility of the proposed model and the computational efficiency of the proposed algorithm via this numerical example. A comparative analysis is conducted to show the benefits of introducing electric vehicles into traffic networks. With the sensitivity analysis, we also reveal the relationship between people’s environmental awareness, the quantity of electric vehicles and the environmental costs of the overall traffic network.


Author(s):  
Xiangyu Luo ◽  
Rui Qiu

Electric vehicles, a significant part of sustainable transport, are attracting increasing attention with the development of sustainable cities. However, as supporting facilities of electric vehicles, public charging stations are of great significance to the promotion of electric vehicles. This paper proposes an electric vehicle charging station location model to improve the resource utilization of electric vehicles for sustainable cities. In this model, reservation services, idle rates during off-peak periods, and waiting time during peak periods are considered. Finally, a case from Chengdu, China, is used to examine the effectiveness of the proposed model. Then, further analyses of reservation ratios and penetration rates are conducted. The results show that the introduction of a reservation service has a positive effect on reducing the total cost, which would provide further support for sustainable cities and have an even greater impact on healthier lives.


2019 ◽  
Vol 292 ◽  
pp. 01066
Author(s):  
Sorin Ioan Deaconu ◽  
Marcel Topor ◽  
Gabriel Nicolae Popa ◽  
Feifei Bu

Electric transportation has made rapid developments and significant steps toward the full electrical powertrain systems. With the increased use of electric vehicles energy conversion systems several technologies have been developed and reached a high degree of performance. Since electric vehicles and hybrid are the more cost competitive technology available today, the evolution toward a more reliable powertrain combining different electric powertrain systems is needed. Induction machine and permanent magnet generators/motors integrated powertrains have some significant advantages over other types of systems such as no need of excitation, low volume and weight, high precision, and no use of a complex gearbox for torque/speed conversion. A electric vehicle powertrain for EV propulsion with a induction motor and a matrix converter is proposed in this paper. The induction motor is controlled using the direct torque flux algorithm. The traditional power conversion stages consist of a rectifier followed by an inverter and bulky DC link capacitor. It involves 2 stages of power conversion and, subsequently, the efficiency of the overall EV is reduced because of power quality issues mainly based on total harmonic distortion. The proposed solution incorporates a matrix converter is mainly utilized to control the induction electric motor for propulsion. The matrix converter is a simple and compact direct AC-AC converter. The proposed EV with matrix converter is modeled using PSIM.


Energies ◽  
2019 ◽  
Vol 12 (24) ◽  
pp. 4615
Author(s):  
Myeong-Hwan Hwang ◽  
Hae-Sol Lee ◽  
Se-Hyeon Yang ◽  
Hyun-Rok Cha ◽  
Sung-Jun Park

Currently, the eco-friendly vehicle market is growing continuously. In the automobile industry, various electric vehicle models are being developed, and several technological innovations are being made. Certain limited vehicle types, such as passenger cars, are being converted to electric vehicles; moreover, a variety of small electric vehicles, including smart mobility vehicles, are being developed. The driving motor of an electric vehicle, e.g., a brushless Direct Current motor (BLDC), is one of the key components that determine its driving performance. However, since the recent hike in prices of the rare earth magnets used in BLDCs, the development of induction motor with lower cost and a simple product structure has become essential. Therefore, this study proposes an optimized design for an outer rotor induction motor with high efficiency in the low-speed section for electric vehicles. The motor designed in this study is efficient for speeds less than 1000 rpm, and our experimental results prove that the prototypes can provide up to 84.8% efficiency. This optimized motor is expected to have widespread application in the eco-friendly vehicle market.


2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Shen Li ◽  
Hailong Zhang ◽  
Huachun Tan ◽  
Zhiyu Zhong ◽  
Zhuxi Jiang

Mileage anxiety is one of the most important factors that affect the driving experience due to the limitation of battery capacity. Robust and accurate prediction of the energy consumption of the journey of the electric vehicle can guide the driver to allocate the power rationally and relieve the anxiety of the mileage. Since vehicle sharing is the biggest application scenario of electric vehicles, it is a critical challenge in share mobility research area. In this paper, a travel energy consumption prediction model of electric vehicles is proposed in order to improve the mobility of shared cars and reduce the anxiety of drivers because they are worried about insufficient power. A recurrent neural network with attention mechanism and deep neural network is used to build the model. To validate the proposed model, a simulation is demonstrated based on both traffic and vehicle information. After the simulation, experimental results show that the proposed model has high prediction accuracy, and we also show through visualization how the model finds high relevant road segments of the road network while dealing with corresponding traffic state input.


Circuit World ◽  
2020 ◽  
Vol 46 (2) ◽  
pp. 125-135
Author(s):  
Vibha Kamaraj ◽  
Chellammal Nallaperumal

Purpose Growing concerns about the depletion of fossil fuels and global awareness about the environmental pollution motivate the automobile industries to search for an alternative transportation system such as hybrid vehicular systems, plug-in hybrid vehicular systems and electric vehicular systems. To have carbon emission-free environment, these electric vehicles use renewable sources, such as solar and fuel cell, as primary source of supply. As these renewable sources are intermittent in nature, an energy buffer such as battery or super capacitor is required for the smooth supply and regulation of load power. The current electric vehicle systems use multistage power electronic converters for energy transfer. Therefore, this paper aims to propose a modified multiport converter based on Luo topology. Design/methodology/approach The suggested converter is developed based on Luo topology using voltage lift technique. Findings Most of the research presents buck boost converter as power electronic interface in electric vehicle applications. Whereas the converter proposed in this paper is based on Luo topology. It exhibits the features of single stage conversion between the input output ports, with less ripple, high efficiency, fewer components and centralized control for effective power management. Originality/value The presented converter can work in all possible modes such as buck and boost modes independently or simultaneously during various operating conditions of electric vehicles. During buck/boost mode, the primary source PV (Photovoltaic) in the converter provides the required power for the vehicle and charges the secondary source, i.e. battery, whereas during boost mode the battery supplies the sufficient power to load.


Sign in / Sign up

Export Citation Format

Share Document