scholarly journals A Wireless Multicoil Charging System for Low-Voltage Electric Vehicle Applications

2021 ◽  
Vol 12 (4) ◽  
pp. 172
Author(s):  
Lukas Elbracht ◽  
Jannis Noeren ◽  
Nejila Parspour
Keyword(s):  
Boundary Conditions ◽  
Electric Vehicle ◽  
Electric Vehicles ◽  
High Power ◽  
Low Voltage ◽  
Drive Train ◽  
Entire System ◽  
Electrical Simulation ◽  
Charging System ◽  
Various Boundary Conditions

In order to inductively charge electric vehicles, which are based on a low-voltage drive train, high currents have to be overcome. This work describes a simulative approach to charge 48 V-based electric vehicles wirelessly with high power. A system was designed on the basis of various boundary conditions and validated by simulation. In order to increase the transmittable power, the system was investigated for an extendable approach and was examined for modularity. In particular, the influences of the secondary coils on each other must be taken into account. Finally, the entire system was evaluated by physical and electrical simulation.

scholarly journals Optimized Strategic Planning of Future Norwegian Low-Voltage Networks with a Genetic Algorithm Applying Empirical Electric Vehicle Charging Data

Electricity ◽  
2021 ◽  
Vol 2 (1) ◽  
pp. 91-109
Author(s):  
Julian Wruk ◽  
Kevin Cibis ◽  
Matthias Resch ◽  
Hanne Sæle ◽  
Markus Zdrallek
Keyword(s):  
Genetic Algorithm ◽  
Electric Vehicle ◽  
Electric Vehicles ◽  
Low Voltage ◽  
Network Planning ◽  
Voltage Regulation ◽  
Electric Vehicle Charging ◽  
Vehicle Charging ◽  
The Impact

This article outlines methods to facilitate the assessment of the impact of electric vehicle charging on distribution networks at planning stage and applies them to a case study. As network planning is becoming a more complex task, an approach to automated network planning that yields the optimal reinforcement strategy is outlined. Different reinforcement measures are weighted against each other in terms of technical feasibility and costs by applying a genetic algorithm. Traditional reinforcements as well as novel solutions including voltage regulation are considered. To account for electric vehicle charging, a method to determine the uptake in equivalent load is presented. For this, measured data of households and statistical data of electric vehicles are combined in a stochastic analysis to determine the simultaneity factors of household load including electric vehicle charging. The developed methods are applied to an exemplary case study with Norwegian low-voltage networks. Different penetration rates of electric vehicles on a development path until 2040 are considered.

scholarly journals Smart charging for electric vehicles to minimise charging cost

2017 ◽  
Vol 231 (6) ◽  
pp. 526-534 ◽  
Author(s):  
Yue Wang ◽  
David Infield ◽  
Simon Gill
Keyword(s):  
Electric Vehicle ◽  
Electric Vehicles ◽  
Distribution System ◽  
Power Flow ◽  
Optimal Power Flow ◽  
Low Voltage ◽  
Wholesale Price ◽  
Heuristic Method ◽  
Domain Model ◽  
Smart Charging

This paper assumes a smart grid framework where the driving patterns for electric vehicles are known, time variations in electricity prices are communicated to householders, and data on voltage variation throughout the distribution system are available. Based on this information, an aggregator with access to this data can be employed to minimise electric vehicles charging costs to the owner whilst maintaining acceptable distribution system voltages. In this study, electric vehicle charging is assumed to take place only in the home. A single-phase Low Voltage (LV) distribution network is investigated where the local electric vehicles penetration level is assumed to be 100%. Electric vehicle use patterns have been extracted from the UK Time of Use Survey data with a 10-min resolution and the domestic base load is generated from an existing public domain model. Apart from the so-called real time price signal, which is derived from the electricity system wholesale price, the cost of battery degradation is also considered in the optimal scheduling of electric vehicles charging. A simple and effective heuristic method is proposed to minimise the electric vehicles’ charging cost whilst satisfying the requirement of state of charge for the electric vehicles’ battery. A simulation in OpenDSS over a period of 24 h has been implemented, taking care of the network constraints for voltage level at the customer connection points. The optimisation results are compared with those obtained using dynamic optimal power flow.

The Research and Design of Intelligent Battery Charger for Electric Vehicle

2013 ◽  
Vol 454 ◽  
pp. 15-18
Author(s):  
Ying Zhao ◽  
En Zhen Hou ◽  
Xu Fang
Keyword(s):  
Electric Vehicle ◽  
Electric Vehicles ◽  
Battery Management ◽  
Battery Charger ◽  
Main Concept ◽  
Battery Charging ◽  
Charging System ◽  
Battery Management Systems ◽  
Working Principle ◽  
Research And Design

Battery charging is the most substantial issue in battery management systems, and the intelligent charger can provide stable and reliable energy conversion to electric vehicles. So the research of high power intelligent battery charger becomes very important. This paper introduces the main concept of battery charging of an electric vehicle, and studies the working principle and hardware scheme of an intelligent charging system, and researches the material performance. And based on research results, we will propose desirable characteristics of charger for public use.

Conceptual Design of an Automatically Replacing and Charging System for Electric Vehicles

2012 ◽  
Vol 510 ◽  
pp. 136-140
Author(s):  
Shu Ping Chen ◽  
Fan Qiang Cheng ◽  
Chen Gan Liu ◽  
Qing Chun Zhang ◽  
Long Li
Keyword(s):  
Electric Vehicle ◽  
Conceptual Design ◽  
Electric Vehicles ◽  
Vehicle Model ◽  
Charging System ◽  
Charging Station ◽  
Gps Navigation ◽  
Late Model ◽  
Long Time ◽  
Low Efficiency

Electric vehicle is an important developing trend of the vehicle industry and the power and technique field. But nowadays, there still exist some problems in this field which cant be solved with mature solutions, such as long time of charging, high cost of replacing and charging station and large areas it covers, low efficiency and so on. By building an effective model, this paper brings up a conceptual design of an automatic system of replacing and charging batteries for electric vehicles with the late-model design of the multi-station device. By observing the effect of the experimental device, it can solve the problems mentioned above, but more should be done to improve it. This design, the demo system, mainly includes electric vehicle model system, replacing and charging station system and GPS navigation system, and it performs excellent in experiment.

Wireless Charging of Electric Vehicles: A Review and Experiments

2011 ◽  
Author(s):  
Chengbin Ma ◽  
Minfan Fu ◽  
Xinen Zhu
Keyword(s):  
Magnetic Resonance ◽  
Electric Vehicle ◽  
Electric Vehicles ◽  
High Efficiency ◽  
System Level ◽  
Prototype System ◽  
Wireless Charging ◽  
Charging System ◽  
Magnetic Resonance Coupling ◽  
Resonance Coupling

In this paper, the technologies for electric vehicle wireless charging are reviewed including the inductive coupling, magnetic resonance coupling and microwave. Among them, the magnetic resonance coupling is promising for vehicle charging mainly due to its high efficiency and relatively long transfer range. The design and configuration of the magnetic resonance coupling based wireless charging system are introduced. A basic experimental setup and a prototype electric vehicle wireless charging system are developed for experimental and research purposes. Especially the prototype system well demonstrates the idea of fast and frequent wireless charging of supercapacitor electric vehicles using magnetic resonance coupling. Though the idea of wireless energy transfer looks sophisticated, it is proved to be a handy technology from the work described in the paper. However, both component and system-level optimization are still very challenging. Intensive investigations and research are expected in this aspect.

scholarly journals A Robust Fuzzy Sliding Mode Controller Synthesis Applied on Boost DC-DC Converter Power Supply for Electric Vehicle Propulsion System

2013 ◽  
Vol 2013 ◽  
pp. 1-9 ◽  
Author(s):  
Boumediène Allaoua ◽  
Brahim Mebarki ◽  
Abdellah Laoufi
Keyword(s):  
Power Electronics ◽  
Electric Vehicle ◽  
Electric Vehicles ◽  
High Power ◽  
Power Supply ◽  
Sliding Mode ◽  
Propulsion System ◽  
Control Law ◽  
Sliding Mode Controller ◽  
Fuzzy Sliding Mode

The development of electric vehicles power electronics system control comprising of DC-AC inverters and DC-DC converters takes a great interest of researchers in the modern industry. A DC-AC inverter supplies the high power electric vehicle motors torques of the propulsion system and utility loads, whereas a DC-DC converter supplies conventional low-power, low-voltage loads. However, the need for high power bidirectional DC-DC converters in future electric vehicles has led to the development of many new topologies of DC-DC converters. Nonlinear control of power converters is an active area of research in the fields of power electronics. This paper focuses on a fuzzy sliding mode strategy (FSMS) as a control strategy for boost DC-DC converter power supply for electric vehicle. The proposed fuzzy controller specifies changes in the control signal based on the surface and the surface change knowledge to satisfy the sliding mode stability and attraction conditions. The performances of the proposed fuzzy sliding controller are compared to those obtained by a classical sliding mode controller. The satisfactory simulation results show the efficiency of the proposed control law which reduces the chattering phenomenon. Moreover, the obtained results prove the robustness of the proposed control law against variation of the load resistance and the input voltage of the studied converter.

Low voltage and high power DC-AC inverter topologies for electric vehicles

2013 ◽  
Author(s):  
Rashidreza Karimi ◽  
Thies Koeneke ◽  
Dennis Kaczorowski ◽  
Timur Werner ◽  
Axel Mertens
Keyword(s):  
Electric Vehicles ◽  
High Power ◽  
Low Voltage
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