scholarly journals Event-triggered H∞ position control of receiver coil for effective mobile wireless charging of electric vehicles

2017 ◽  
Vol 40 (14) ◽  
pp. 3994-4003
Author(s):  
Weihua Deng ◽  
Kang Li ◽  
Jing Deng
Keyword(s):  
Real Time ◽  
Electric Vehicle ◽  
Electric Vehicles ◽  
Control Strategy ◽  
Position Control ◽  
State Feedback Control ◽  
Receiver Coil ◽  
Wireless Charging ◽  
Charging Efficiency ◽  
Event Triggered

The emergence of dynamic wireless charging technologies brings about new possibilities for on-road real-time charging of electric vehicles in solving the battery bottleneck for the mass roll-out of electric vehicles worldwide. In this new area, charging efficiency is one of the most important issues to be addressed for on-road wireless charging. While most current research mainly focuses on the electronic power design of the charging system, little has been done to improve charging efficiency through real-time mechanical control. In this paper, a switch control strategy based on an event-triggered mechanism is proposed, to improve the charging efficiency when an electric vehicle moves along a power supply road track. An [Formula: see text] control problem is formulated and sufficient stabilization criteria are derived in the form of linear matrix inequalities when the electric vehicle derails from the effective charging range. Numerical simulation confirms that the proposed control approach outperforms the general state feedback control method. The developed control strategy is applied to control a newly built electric vehicle wireless charging test platform with desirable control performance.

The Control Strategy Of V2G Participating in Peak Regulation in Power System

2011 ◽  
Vol 383-390 ◽  
pp. 4151-4157
Author(s):  
Wen Qi Tian ◽  
Jing Han He ◽  
Jiu Chun Jiang ◽  
Cheng Gang Du
Keyword(s):  
Power System ◽  
Electric Vehicle ◽  
Electric Vehicles ◽  
Control Strategy ◽  
Distributed Energy ◽  
Control Center ◽  
Distributed Energy Storage ◽  
New Energy ◽  
Regulation Function ◽  
Control Layer

With the increase of new energy power generation, the requirement of smart grid and the popularity of electric vehicles, the research focus on V2G. With Electric vehicles being distributed energy storage or distributed generation, peak regulation in power system is involved in important functions of V2G. In order to achieve peak regulation function, the paper has analyzed the control relationship between the electric vehicles, V2G station and electric vehicle charge\ discharge control center, presented charge and discharge control strategy based on the two levels of electric vehicle charge\discharging control center and V2G station control layer and introduced algorithms and examples to achieve these strategies.

Multirate Integration in Hybrid Electric Vehicle Virtual Proving Grounds

1998 ◽  
Author(s):  
Dario Solis ◽  
Chris Schwarz
Keyword(s):  
Real Time ◽  
Electric Vehicle ◽  
Time Scales ◽  
Electric Vehicles ◽  
Time Scale ◽  
Hybrid Electric Vehicle ◽  
Hybrid Electric Vehicles ◽  
Differential Algebraic Equations ◽  
Vehicle Systems ◽  
Hybrid Electric

Abstract In recent years technology development for the design of electric and hybrid-electric vehicle systems has reached a peak, due to ever increasing restrictions on fuel economy and reduced vehicle emissions. An international race among car manufacturers to bring production hybrid-electric vehicles to market has generated a great deal of interest in the scientific community. The design of these systems requires development of new simulation and optimization tools. In this paper, a description of a real-time numerical environment for Virtual Proving Grounds studies for hybrid-electric vehicles is presented. Within this environment, vehicle models are developed using a recursive multibody dynamics formulation that results in a set of Differential-Algebraic Equations (DAE), and vehicle subsystem models are created using Ordinary Differential Equations (ODE). Based on engineering knowledge of vehicle systems, two time scales are identified. The first time scale, referred to as slow time scale, contains generalized coordinates describing the mechanical vehicle system that includs the chassis, steering rack, and suspension assemblies. The second time scale, referred to as fast time scale, contains the hybrid-electric powertrain components and vehicle tires. Multirate techniques to integrate the combined set of DAE and ODE in two time scales are used to obtain computational gains that will allow solution of the system’s governing equations for state derivatives, and efficient numerical integration in real time.

Control Strategy of Hybrid Electric Vehicles Based on Driving Style Identification

2014 ◽  
Vol 945-949 ◽  
pp. 1587-1596
Author(s):  
Xian Zhi Tang ◽  
Shu Jun Yang ◽  
Huai Cheng Xia
Keyword(s):  
Electric Vehicle ◽  
Electric Vehicles ◽  
Control Strategy ◽  
Hybrid Electric Vehicle ◽  
Hybrid Electric Vehicles ◽  
Entropy Theory ◽  
Driving Style ◽  
Identification Error ◽  
Identification Method ◽  
Hybrid Electric

The driving style comprehensive identification method based on the entropy theory is presented. The error and error proportion of each identification result are calculated. The entropy and the variation degree of the identification error of each identification method are calculated based on the definition of information entropy. According to the entropy and the variation degree of the identification error, the weight of each kind of identification method can be determined in the comprehensive identification method, and the driving style comprehensive identification algorithm is derived. The control strategy of hybrid electric vehicles based on the driving style identification is proposed. The economic control strategy and dynamic control strategy are established. Depending on the results of driving style identification, aiming at different kinds of drivers, the mode of control strategies can be adjusted, so the demands of different kinds of drivers can be satisfied. The hybrid electric vehicle simulation model and control strategy model are built, and the simulations have been done. Due to the simulation results, the drivers’ intention comprehensive identification method based on the entropy theory is proved to represent the driver’s driving style systematically and comprehensively, and the hybrid electric vehicle control strategy based on the driving style identification can make the vehicles satisfy different drivers’ demands.

scholarly journals Control Strategy and Performance Simulation Study on Extended Range Electric Vehicle

2019 ◽  
Vol 79 ◽  
pp. 03006
Author(s):  
Limian Wang ◽  
Shumao Wang ◽  
Zhenghe Song
Keyword(s):  
Electric Vehicle ◽  
Electric Vehicles ◽  
Control Strategy ◽  
Structure Design ◽  
System Structure ◽  
Simulation Research ◽  
Range Extender ◽  
Strategy Model ◽  
Extended Range ◽  
And Performance

Electric vehicles are recognized as an effective way to alleviate the energy crisis and environmental degradation, and extended range electric vehicles which have both the technical advantages of hybrid electric vehicles and pure electric vehicles, have gradually become a research hotspot in the automotive industry. In this paper, the system structure design of the extended range electric vehicle is carried out. On the basis of the pure electric vehicle, the engine and generator set are added. The control strategy model is established and the simulation research is carried out. The results show that the proposed control strategy model optimizes the working range of the range extender, takes into account the performance of the battery and the drive motor, and shows good tracking characteristics.

Research on Data Display for New Electric Vehicle

2013 ◽  
Vol 694-697 ◽  
pp. 2675-2679
Author(s):  
Qiu Chan Bai ◽  
Chun Xia Jin ◽  
Ding Li Yang ◽  
Ma Hua Wang
Keyword(s):  
System Design ◽  
Real Time ◽  
Electric Vehicle ◽  
Electric Vehicles ◽  
Hall Sensor ◽  
Electronic Instrument ◽  
Data Display ◽  
The Core ◽  
Speed Measurement ◽  
Display Function

Based on the data display of instrument for the current electric vehicle is imperfect, this paper puts forward designing a generic electronic instrument of electric vehicle with speed, mileage and power data display function. The microcontroller of AT89C52 is the core of system design. The design uses Hall sensor as a speed detection sensor to realize the mileage/speed measurement display of electric vehicle. It uses the 24C02 saving the mileage information in case of power-down system, uses LED module in real-time displaying the speed, mileage and power, and provides the alarm function of hypervelocity. The design of the system is in real time, running well in the test, may be promoted to the electric vehicles research and development industry.

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 Modeling, Analysis, and Implementation of Series-Series Compensated Inductive Coupled Power Transfer (ICPT) System for an Electric Vehicle

2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
Moustapha Elwalaty ◽  
Mohamed Jemli ◽  
Hechmi Ben Azza
Keyword(s):  
Electric Vehicle ◽  
Mathematical Expression ◽  
Electrical Circuit ◽  
Air Gap ◽  
Battery Life ◽  
Receiver Coil ◽  
Wireless Charging ◽  
Power Transfer ◽  
Charging System ◽  
Transmitter Coil

This paper focuses on the modeling and implementation of an Electric Vehicle (EV) wireless charging system based on inductively coupled power transfer (ICPT) technique where electrical energy can be wirelessly transferred from source to vehicle battery. In fact, the wireless power transfer (WPT) system can solve the fundamental problems of the electric vehicle, which are the short battery life of the EV due to limited battery storage and the user safety by handling high voltage cables. In addition, this paper gives an equivalent electrical circuit of the DC-DC converter for WPT and comprises some basic components, which include the H-bridge inverter, inductive coupling transformer, filter, and rectifier. The input impedance of ICPT with series-series compensation circuit, their phases, and the power factor are calculated and plotted by using Matlab scripts programming for different air gap values between the transmitter coil and receiver coil. The simulation results indicate that it is important to operate the system in the resonance state to transfer the maximum real power from the source to the load. A mathematical expression of optimal equivalent load resistance, corresponding to a maximal transmission efficiency of a wireless charging system, was demonstrated in detail. Finally, a prototype of a wireless charging system has been constructed for using two rectangular coils. The resonant frequency of the designed system with a 500 × 200 mm transmitter coil and a 200 × 100 mm receiver coil is 10 kHz. By carefully adjusting the circuit parameters, the implementation prototype have been successfully transferred a 100 W load power through 10 cm air gap between the coils.

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