Modeling and analysis of dynamic wireless charging for electric vehicles under different working scenarios

2020 ◽  
pp. 002072092092854
Author(s):  
Ning Wang ◽  
Qingxin Yang ◽  
Hengjun Zhang
Keyword(s):  
Electric Vehicle ◽  
Electric Vehicles ◽  
Storage System ◽  
Energy Storage System ◽  
Wireless Charging ◽  
Wireless Power ◽  
Energy Usage ◽  
Modeling And Analysis ◽  
Vehicle System ◽  
Driving Range

Dynamic wireless charging technology can solve the charging problem of electric vehicle. There is little research on the influence of dynamic wireless charging on electric vehicle. This paper establishes the energy model of the vehicle system by using Advisor and MATLAB. An energy control strategy for dynamic wireless charging of electric vehicles is designed. The influence of dynamic wireless power transfer on energy storage system loss and electric vehicle range under different operating scenarios and different minimum battery charge states is studied. The variation of state of charge, energy usage and the overall system efficiency are compared and analyzed. This paper analyzes the influence of SOC by vehicle parameters and external parameters in dynamic wireless charging, and the influence on electric vehicle driving range further.

scholarly journals Battery Life Enhancement in a Hybrid Electrical Energy Storage System Using a Multi-Source Inverter

2019 ◽  
Vol 10 (2) ◽  
pp. 17 ◽  
Author(s):  
Yogesh Mahadik ◽  
K. Vadirajacharya
Keyword(s):  
Electric Vehicles ◽  
Storage System ◽  
Peak Load ◽  
Electrical Energy ◽  
Energy Storage System ◽  
Open Loop ◽  
Battery Life ◽  
Loop Control ◽  
Power Exchange ◽  
Driving Range

This paper introduces a new topology using a multi-source inverter with the intention of reducing the battery current and weight, while enhancing the battery life and increasing the driving range for plug-in electric vehicles, with the combination of a battery and an ultracapacitor (UC) as storage devices. The proposed topology interconnects the UC and battery directly to the three-phase load with a single-stage conversion using an inverter. The battery life is considerably reduced due to excess (peak) current drawn by the load, and these peak load current requirements are met by connecting the ultracapacitor to the battery, controlled through an inverter. Here, the battery is used to cater to the needs of constant profile energy demands, and the UC is used to meet the dynamic peak load profile. This system is highly efficient and cost-effective when compared to a contemporary system with a single power source. Through a comparative analysis, the cost-effectiveness of the proposed energy management system (EMS) is explained in this paper. Energy and power exchange are implemented with an open-loop control strategy using the PSIM simulation environment, and the system is developed with a hardware prototype using different modes of inverter control, which reduces the average battery current to 27% compared to the conventional case. The driving range of electric vehicles is extended using active power exchange between load and the sources. The dynamics of the ultracapacitor gives a quick response, with battery current shared by the ultracapacitor. As a result, the battery current is reduced, thereby enhancing the driving cycle. With the prototype, the results of the proposed topology are validated.

scholarly journals Wireless Charging of Electrical Vehicle on Road

2021 ◽  
pp. 270-276
Author(s):  
Mr. Suraj Hussainsaheb Mulla ◽  
Mr. Vipul Uddhav Hawale ◽  
Mr. Pradeep Ramrao More ◽  
Mr. Kiran Joy Mandumpal ◽  
Prof. Supriya Shigwan
Keyword(s):  
Electric Vehicles ◽  
Storage System ◽  
Selection Criterion ◽  
Wireless Power Transfer ◽  
Antenna System ◽  
Prototype System ◽  
Wireless Charging ◽  
Power Transfer ◽  
Wireless Power ◽  
Vehicle Charging

Electric vehicles are seen as an alternative option in response to the depletion of resources. In order to increase the use of EVs in daily life, practical and reliable methods to charge batteries of EVs are quite important, accordingly wireless power transfer (WPT) is considered as a solution to charge batteries. In this project, a prototype system of wireless charger which has 60 kHz operation frequency is designed and implemented. Plug-in Electric Vehicles (PEV) are burdened by the need for cable and plug charger, galvanic isolation of the on-board electronics, bulk and cost of this charger and the large energy storage system (ESS) packs needed. But by using Wireless Charging system‘s Wireless charging opportunity. It Provides convenience to the customer, inherent electrical isolation, regulation done on grid side and reduces on-board ESS size using dynamic on-road charging. The main objective of our project is to design and develop an antenna system suitable for vehicle using resonant magnetic coupled wireless power transfer technology to electric vehicle charging systems. Application of WPT in EVs provides a clean, convenient and safe operation. At the core of the WPT systems are primary and secondary coils. These coils construct a loosely coupled system where the coupling coefficient is between 0.1-0.5. In order to transfer the rated power, both sides have to be tuned by resonant capacitors. The operating frequency is a key selection criterion for all applications and it especially affects the dimensions of the coils and the selection of the components for the power electronic circuit. A Resonant wireless transfer system for vehicle charging technology is designed.

scholarly journals Fractional-Order Modeling and Analysis of a Variable Structure Hybrid Energy Storage System for EVs

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
Jianlin Wang ◽  
Dan Xu ◽  
Jiahui Zhou ◽  
Jinlu Mao
Keyword(s):  
Energy Storage ◽  
Nonlinear Control ◽  
Fractional Order ◽  
Electric Vehicles ◽  
Storage System ◽  
Energy Storage System ◽  
Modeling And Analysis ◽  
Hybrid Energy ◽  
Hybrid Energy Storage ◽  
Hybrid Energy Storage System

Hybrid energy storage system has been widely studied as an important technology for electric vehicles. Since the hybrid energy storage system is a nonlinear and complex system, the modeling of the system and the high-precision nonlinear control strategy are technical difficulties for research. The establishment of a high-precision mathematical model of the hybrid energy storage system is the basis for the study of high-quality nonlinear control algorithms. Fortunately, the theory of fractional calculus can help build accurate mathematical models of hybrid energy storage systems. In order to obtain the high-quality nonlinear control strategy of this complex system, this paper, respectively, carried out fractional-order modeling and analysis on the three basic equivalent working states of the hybrid energy storage system of electric vehicles. Among them, the fractional-order average state space model is carried out for the equivalent Buck and Boost mode. Also, the steady-state analysis of the equivalent Dual-Boost mode is carried out by combining the fractional-order calculus theory with the equivalent small parameter variable method. Finally, the effectiveness and precision of the fractional-order model are proved by simulation and experiment.

scholarly journals A Novel Design on Hybrid Energy Storage System for an Electric Vehicle using NNFF Technology

2019 ◽  
Vol 8 (3) ◽  
pp. 3444-3448
Keyword(s):  
Energy Storage ◽  
Electric Vehicle ◽  
Electric Vehicles ◽  
Storage System ◽  
Energy Storage System ◽  
Long Distance ◽  
Super Capacitor ◽  
Hybrid Energy ◽  
Hybrid Energy Storage ◽  
Hybrid Energy Storage System

As each day passes, we, humans, are attracted towards more and more technology for the easiness of our day to day life. One such technology, which has a very high scope in future and in the aspect of reducing pollution and providing clean environment, is the use of electric vehicles. Moreover, the electric vehicles provides long distance endurance and it is really minimizes the cost. This paper mainly discusses about the use and benefit of hybrid energy storage system for electric vehicle with the help of Neural Network Fitting Function technology, which is based on a controller. At last, comparison between graphs of a base model and the proposed model is also shown, which clearly shows reduction in variation of the battery current, super capacitor, load current and dc voltage graph.

scholarly journals Power Flow management among PV, BESS and Grid for EV Charging

2019 ◽  
Vol 1 (1) ◽  
pp. 102-112
Author(s):  
Menaka Karki ◽  
Dol Raj Kunwar ◽  
Bijay Sharma ◽  
Sunil Paudel ◽  
Tanka Nath Ojha
Keyword(s):  
Electric Vehicle ◽  
Electric Vehicles ◽  
Power Flow ◽  
Storage System ◽  
Management Strategies ◽  
Energy Storage System ◽  
Flow Management ◽  
Power Sources ◽  
Charging Station ◽  
Continuous Power

Electric Vehicles (EVs) are the cleanest means of transportation compared to the conventional vehicles. Unlike conventional vehicles, EVs do not depend on petroleum products and thus use of electric vehicle is going to dominate the transportation sector soon. The battery electric vehicles need charging stations for their battery to charge. The proposed topology focuses on power flow management for charging of EV loads. it proposes electric vehicle charging system in which vehicle owners are allowed to park their vehicle in the charging station and EVs are charged up to their desired SOC level. The proposed system promotes penetration of RES to a larger extent which minimizes the kwh cost of grid energy consumption, and hence generating significant economical revenue of the charging station. In this paper, charging station is modeled with PV, battery and grid, and power management strategies are proposed among them. Regulation of load sharing and prevention of mismatch between circulating currents supplied by power sources is implemented using fixed droop method. The trend of power demand by EVs in the charging station is estimated and matching between demand and supply is implemented. Energy storage system is used in order to support continuous power availability in the station. The simulations are successfully implemented to validate the effectiveness of the system and to demonstrate the load management system by the uncoordinated method of charging. The overall system is implemented by algorithm run in MATLAB/Simulink.

scholarly journals A PV Based Hybrid Energy Storage System for Electric Vehicles

2021 ◽  
Vol 9 (12) ◽  
pp. 672-680
Author(s):  
Shaik Abdul Wajahat Tamanna
Keyword(s):  
Energy Storage ◽  
Solar Energy ◽  
Electric Vehicle ◽  
Electric Vehicles ◽  
Storage System ◽  
Energy Generation ◽  
Energy Storage System ◽  
Hybrid Energy ◽  
Hybrid Energy Storage ◽  
Hybrid Energy Storage System

Abstract: Charging of electric vehicles have been a major problem as the charging stations are not installed every where, either we have to charge the vehicle at home or we should have to go to a charging point and it takes a lot of time. Addition of solar energy generation to electric vehicle will give the advantage of charging the vehicle while it is in parking. The overall performance and endurance of the battery of a electric vehicle can be improved by designing a PV based hybrid energy storage system with the magnetic integration of Bessel low pass filter to the DC-DC converter. The size of battery is reduced, endurance of the battery is also improved and the effectiveness of proposed method is validated by simulation. Keywords: Solar energy generation, hybrid-energy storage system, DC-DC converter, electric vehicle, endurance of the batter.

Hybrid Energy Storage System for Hybrid and Electric Vehicles: Review and a New Control Strategy

2011 ◽  
Author(s):  
Xing Zhang ◽  
Zuomin Dong ◽  
Curran Crawford
Keyword(s):  
Energy Storage ◽  
Electric Vehicle ◽  
Electric Vehicles ◽  
Control Strategy ◽  
Storage System ◽  
Energy Storage System ◽  
High Energy ◽  
Hybrid Energy ◽  
Hybrid Energy Storage ◽  
Hybrid Energy Storage System

Onboard energy storage system (ESS) plays a major role for vehicle electrification. The performance of hybrid electric vehicle (HEV), plug-in HEV (PHEV), extended range electric vehicle (EREV), fuel cell vehicle (FCV), and electric vehicles (EV) heavily depends upon their ESS technology. The ESS must be able to store sufficient energy for adequate pure electric range, provide adequate peak power for needed vehicle performance under various driving cycles, absorb energy efficiently during regenerative breaking, and have long operation life and low costs. At present, pure battery based ESS often cannot effectively meet all these requirements due to many trade-offs. In order to improve the overall performance of ESS, integration of two (or more) energy sources have been studied to best utilize the unique characteristics of each, leading to a hybrid energy storage system (HESS). Hybridization of high-energy batteries and ultracapacitors with complementary characteristics present a common choice today. In this paper, the necessity and superiority of a HESS are illustrated considering system performance, efficiency, costs, functional life, and temperature requirements. Three major types of battery-ultracapacitor HESS, passive, semi-active and fully active, are presented. Various HESS control strategies proposed in the past are then reviewed, including rules or reference curves and tables based control, fuzzy logic control, and closed-loop control. Building upon these review and analyses, a novel control strategy based on signal separation using sparse coding is proposed at the end.

scholarly journals MODELING AND ANALYSIS OF AN ELECTRIC VEHICLE USING PAMVEC

2018 ◽  
Vol 17 (2) ◽  
pp. 37
Author(s):  
S. C. A. de Almeida ◽  
F. L. A. Vieira
Keyword(s):  
Energy Consumption ◽  
Electric Vehicle ◽  
Electric Vehicles ◽  
Specific Energy ◽  
Fossil Fuel ◽  
Modeling And Analysis ◽  
Acceptable Range ◽  
Battery Packs ◽  
Driving Range ◽  
The Cost

Electric vehicles are considered a key technology to reduce fossil fuel consumption, emissions and energy consumption. However, Electric Vehicles require larger battery packs to reach acceptable range levels. The development of new batteries with higher specific energy could reduce the mass and the cost of Electric Vehicles and increase their driving range. This work analyzes the influence of battery specific energy on battery pack mass, energy consumption and the cost per kilometer of a Tesla Model S Electric Vehicle. The energy consumption and the cost per kilometer calculated were 0.221 kWh/km (22.1 kWh/100 km) and 0.024 US$/km respectively.

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