A charging method for electric vehicle using multi battery series mode

Similar documents
A computer-based recursion algorithm for automatic charge of power device of electric vehicles carrying electromagnet

An Electric Vehicle Carrying Electromagnet Automatic Charging Power Device

A highly-integrated and efficient commercial distributed EV battery balancing system

International Conference on Advances in Energy and Environmental Science (ICAEES 2015)

The design and implementation of a simulation platform for the running of high-speed trains based on High Level Architecture

Dual power flow Interface for EV, HEV, and PHEV Applications

A Novel DC-DC Converter Based Integration of Renewable Energy Sources for Residential Micro Grid Applications

The Research of Full Automatic Intelligent Oil Filtering System Based on Flow Totalizer Control

Load Frequency Control of a Two Area Power System with Electric Vehicle and PI Controller

Research and Design on Electric Control System of Elevator Tower for Safety Devices Yuan Xiao 1, a, Jianping Ye 2,b, Lijun E 1, Ruomeng Chen 1

Torque Management Strategy of Pure Electric Vehicle Based On Fuzzy Control

The research on gearshift control strategies of a plug-in parallel hybrid electric vehicle equipped with EMT

An Energy Efficiency Measurement Scheme for Electric Car Charging Pile Chun-bing JIANG

Research on V2G Control Strategy for EV Charge and Discharge Equipment

IEEE Transactions on Applied Superconductivity, 2012, v. 22 n. 3, p :1-5

Development of a Plug-In HEV Based on Novel Compound Power-Split Transmission

NORDAC 2014 Topic and no NORDAC

Intelligent Power Management of Electric Vehicle with Li-Ion Battery Sheng Chen 1,a, Chih-Chen Chen 2,b

Parameters Matching and Simulation on a Hybrid Power System for Electric Bulldozer Hong Wang 1, Qiang Song 2,, Feng-Chun SUN 3 and Pu Zeng 4

38th LCA Discussion Forum

Workbench Film Thickness Detection Based on Laser Sensor Mo-Yun LIU, Han-Bing TANG*, Ma-Chao JING, and Zhen ZHOU

Simulation of Fully-Directional Universal DC- DC Converter for Electric Vehicle Applications

Grouped and Segmented Equalization Strategy of Serially Connected Battery Cells

Research on the charging system of electric vehicle photovoltaic cells HUANG Jun ( Hunan Railway Professional Technology College, Zhuzhou, )

The Modeling and Simulation of DC Traction Power Supply Network for Urban Rail Transit Based on Simulink

Electric Vehicle-to-Home Concept Including Home Energy Management

The Design of Vehicle Tire Pressure Monitoring System Based on Bluetooth

A Linear Magnetic-geared Free-piston Generator for Range-extended Electric Vehicles

Driving Performance Improvement of Independently Operated Electric Vehicle

NOVEL MODULAR MULTIPLE-INPUT BIDIRECTIONAL DC DC POWER CONVERTER (MIPC) FOR HEV/FCV APPLICATION

Power Matching Strategy Modeling and Simulation of PHEV Based on Multi agent

Research Paper MULTIPLE INPUT BIDIRECTIONAL DC-DC CONVERTER Gomathi.S 1, Ragavendiran T.A. S 2

Implementation of Bidirectional DC-DC converter for Power Management in Hybrid Energy Sources

Regenerative Braking System for Series Hybrid Electric City Bus

INVESTIGATION AND PERFORMANCE ANALYSIS OF MULTI INPUT CONVERTER FOR THREE PHASE NON CONVENTIONAL ENERGY SOURCES FOR A THREE PHASE INDUCTION MOTOR

Dynamic Modelling of Hybrid System for Efficient Power Transfer under Different Condition

Intelligent UPS System for Smart Grid to Achieve the Sustainable Energy

A novel synthetic test system for thyristor level in the converter valve of HVDC power transmission

Rotor Position Detection of CPPM Belt Starter Generator with Trapezoidal Back EMF using Six Hall Sensors

RF Based Automatic Vehicle Speed Limiter by Controlling Throttle Valve

A Permanent-magnet Hybrid In-wheel Motor Drive for Electric Vehicles

Implementation Soft Switching Bidirectional DC- DC Converter For Stand Alone Photovoltaic Power Generation System

Study on Braking Energy Recovery of Four Wheel Drive Electric Vehicle Based on Driving Intention Recognition

Modelling, Measurement and Control A Vol. 91, No. 1, March, 2018, pp Journal homepage:

Research on Electric Vehicle Regenerative Braking System and Energy Recovery

Analysis and Design of Independent Pitch Control System

Theoretical and Experimental Investigation of Compression Loads in Twin Screw Compressor

Design of Power System Control in Hybrid Electric. Vehicle

Electric Mobility and Smart Grids: Cost-effective Integration of Electric Vehicles with the Power Grid

Using Trip Information for PHEV Fuel Consumption Minimization

United Power Flow Algorithm for Transmission-Distribution joint system with Distributed Generations

Fuzzy based Adaptive Control of Antilock Braking System

Impact of Plug-in Electric Vehicles on the Supply Grid

Electromagnetic Field Analysis for Permanent Magnet Retarder by Finite Element Method

Optimization of Three-stage Electromagnetic Coil Launcher

One-Cycle Average Torque Control of Brushless DC Machine Drive Systems

Power Balancing Under Transient and Steady State with SMES and PHEV Control

Design of closing electromagnet of high power spring operating mechanism

Electric Vehicles Coordinated vs Uncoordinated Charging Impacts on Distribution Systems Performance

THE ELECTRIC VEHICLE ROUTING OPTIMIZING ALGORITHM AND THE CHARGING STATIONS LAYOUT ANALYSIS IN BEIJING

China Electric Power Research Institute, Beijing, , China

Impact Analysis of Off-board Charger to Power Quality

Study on State of Charge Estimation of Batteries for Electric Vehicle

Transient reactive power characteristics of HVDC during commutation failure and impact of HVDC control parameters

Automobile Hybrid Air Conditioning Technology

Shimmy Identification Caused by Self-Excitation Components at Vehicle High Speed

Hybrid Three-Port DC DC Converter for PV-FC Systems

Increasing the Battery Life of the PMSG Wind Turbine by Improving Performance of the Hybrid Energy Storage System

Design of Large-Capacity Battery Energy Storage System and Its Application in Coal Mine

Power Management Scheme of a Photovoltaic System for Self-Powered Internet of Things

Design and Control of Lab-Scale Variable Speed Wind Turbine Simulator using DFIG. Seung-Ho Song, Ji-Hoon Im, Hyeong-Jin Choi, Tae-Hyeong Kim

Braking Performance Improvement Method for V2V Communication-Based Autonomous Emergency Braking at Intersections

World Scientific Research Journal (WSRJ) ISSN: Multifunctional Controllable and Detachable Bicycle Power Generation /

Application of Soft Magnetic Composite Material in the Field of Electrical Machines Xiaobei Li 1,2,a, Jing Zhao 1,2,b*, Zhen Chen 1,2, c

FOUR SWITCH THREE PHASE BRUSHLESS DC MOTOR DRIVE FOR HYBRID VEHICLES

Transient analysis of a new outer-rotor permanent-magnet brushless DC drive using circuit-field-torque coupled timestepping finite-element method

Modularized Combination of Buck Boost and Cuk Converter for Electric Vehicle Lead Acid Battery Cell Voltage Equalization with Feedback

Control Scheme for Grid Connected WECS Using SEIG

Solar PV Powered SRM Drive for Electric Vehicles with Novel Flexible Energy Control

Intelligent CAD system for the Hydraulic Manifold Blocks

Dynamic Simulation of the Impact Mechanism of Hydraulic Rock Drill Based on AMESim Yin Zhong-jun 1,a, Hu Yi-xin 1,b

China. Fig. 1 Chain SVG Electrical Diagram

Design of Integrated Power Module for Electric Scooter

Power Flow Management and Control of Hybrid Wind / PV/ Fuel Cell and Battery Power System using Intelligent Control

Validation and Control Strategy to Reduce Fuel Consumption for RE-EV

Design and Implementation of Non-Isolated Three- Port DC/DC Converter for Stand-Alone Renewable Power System Applications

Performance Evaluation of Electric Vehicles in Macau

Hardware Design of Brushless DC Motor System Based on DSP28335

Application of Magnetic Material in the Underwater Power Tools Zhang Hui1,2

Next-generation Inverter Technology for Environmentally Conscious Vehicles

Time-Division Multiplexed Pulsed Charging of Modular Pb-acid Battery Storage

837. Dynamics of hybrid PM/EM electromagnetic valve in SI engines

Research on Bill of Engineering Quantity and Calculation Standard for Power Grid Marketing Project Bin ZHU 1, Yun HE 1 and Zhang-hua CAI 2

Exploit of Shipping Auxiliary Swing Test Platform Jia WANG 1, a, Dao-hua LU 1 and Song-lian XIE 1

THE alarming rate, at which global energy reserves are

MECA0500: PLUG-IN HYBRID ELECTRIC VEHICLES. DESIGN AND CONTROL. Pierre Duysinx

Research on Sensorless Control Strategy of Motor Controller for Electric Bicycle

INVENTION DISCLOSURE MECHANICAL SUBJECT MATTER EFFICIENCY ENHANCEMENT OF A NEW TWO-MOTOR HYBRID SYSTEM

Research on PV and battery control system with energy management technology in stand-alone DC micro grid

Design of HIL Test System for VCU of Pure Electric Vehicle

Transcription:

A charging method for electric vehicle using multi battery series mode Hong Liu *, Yuan Ren, Liangxiao Ye School of Electrical Information, Shanghai Dianji University, Shanghai 200240, China * Corresponding author: liuhong@sdju.edu.cn Abstract A charging method for electric vehicle using multi battery series mode which consisted of the following steps was introduced: the battery series is firstly charged at a constant power with a charging current of I1. When the terminal voltage over the battery series has reached the 1st threshold voltage, the charging current will reduce to I2 and the power remains constant. When the terminal voltage over the battery series has reached the 2nd threshold voltage, the charging current will reduce to I3 and the power remains constant (the 2nd threshold voltage is larger than 1st threshold voltage). When the terminal voltage over the battery series has reached the 3rd threshold voltage, which is the rated voltage of the battery series, the charging process is completed (3rd threshold voltage is larger than 2nd threshold voltage). Contents in this paper provide a charging method for electric vehicles using multi battery series mode with high charging efficiency and security level. Keywords charging device; battery mode; threshold voltage I. INTRODUCTION Compared with traditional motor vehicles powered by fuel, electric vehicle is advantageous in energy saving, emission reduction and environmental protection. As a result, it is becoming more and more important with more applications in transportation [1-8]. Up to now, most of the charging services of electric vehicles in social communities are realized by using appointed battery replacement managed by the State Grid. However, during the last couple of years, large scale electric vehicle rental services and bidding projects of charging station construction have been started in metropolitans such as Shanghai and Beijing. Besides, self-service electric vehicle charging posts have been constructed in a large scale around residential communities, public parking lots and business districts in large and medium-sized cities all over China. Development in all these aspects indicates that the electric vehicle charging services are becoming multi-functional, multizone and intelligent on the basis of traditional battery replacement service [9-15]. Therefore, the popularization and application of electric vehicle charging service is inevitably related to the construction and completion of the relevant charging infrastructures, which imposes higher requirements on the use and function of the electric vehicle charging facilities [16-21]. Related literatures showed that users would like the vehicles to be more intelligent, allowing them to select among functions modules such as the charging duration, charging speed mode and scheduled charging, which facilitates the use of vehicles under different conditions [22-24]. The selection of charging mode has equal importance for battery distribution management and charging security [25]. For example, some users rely on direct current (DC) source to finish vehicle charging process within a short time. However, the relatively high charging current from DC source will reduce the lifespan of batteries to a large extent. Hence, this charging method can only serve as an emergent backup plan. Researchers both at home and abroad found that there generally exist problems such as low energy conversion efficiency, instauration of battery when fully charged, battery heating and deformation, among which the low charging efficiency has the most obvious effect [26-28]. It reduces the mileage of electric vehicles, causes frequent charging in a short time and shortens the lifespan of batteries. In order to solve the above problem, Li et al. have done deep investigations into the charging management mode of the batteries in electric vehicles and the design of control system which balances the load current was found to be the key factor [29]. Thanks to their charging model proposed in their latest patent [29], based on his method, we will further present in this paper the design of a corresponding control system or facility for battery charge control, which will be greatly important in high current charging with DC source. In addition, the control design should provide a sustainable and highly secured operation environment with high energy utilization efficiency for electric vehicle users. Therefore, in order to guarantee the lifespan, security and endurance of the batteries in electric vehicles and improve the energy conversion efficiency during battery charge process, it is imperative to establish a charging method for multi battery series which is complete, secure and easy to use. The investigation of this method is of great importance to reduce electric energy loss, energy saving, low carbon emission and environment protection. As a consequence, our paper intents to give the detailed description for the proposed and further carry out experimental results to support our discoveries. II. THE FUNDAMENTAL BASIS FOR CHARGING MULTI BATTERY SERIES In order to overcome the shortcoming of the current electric vehicle charging method using multi battery series mode, such as low charging efficiency and low level security, this paper proposes a charging method with high charging efficiency and high level security.

The technical procedure for solving the problem mentioned should be specific, in general. According to the newest model proposed in Li s patent [29], the charging method for electric vehicles using multi battery series generally consists of the following steps: firstly, the battery series is charged at a constant power with a charging current of I1. Afterwards, when the terminal voltage over the battery series reaches the 1st threshold voltage, the charging current will reduce to I2 and the power remains as a constant. When the terminal voltage over the battery series reaches the 2nd threshold voltage, the charging current will reduce to I3 and the power remains as another constant (the 2nd threshold voltage is larger than 1st threshold voltage). When the terminal voltage over the battery series reaches the 3rd threshold voltage, which is the rated voltage of the battery series, the charging process is completed (the 3rd threshold voltage is larger than the 2nd threshold voltage). One step further, the charging controller operated in dynamic control mode is able to carry out real-time control of the input current and terminal voltage of the battery series. The proposed method is advantageous in that the whole charging process is divided into several individual steps according to the relation between charging voltage and input current, resulting in high charging efficiency. Besides, the security of this charging method can be verified using real-time simulations. One step further, the charging controller operated in dynamic control mode is able to carry out real-time control of the input current and terminal voltage of the battery series. Figure 2 is the schematic diagram of the charging system of the multi battery series in the electric vehicle. As shown in Figure 2, the charging facility consists of battery charge controller (10), battery charger (20) and battery series (30). The main function of battery charge controller is to inspect the operation status of the battery series and output control signal to adjust the charging mode of battery series (30). In this paper, we adopt the charging method devised by Li et al. from their patent [29] where the main function of battery charger is to convert the external AC input into DC output. Besides, when the switch S is ON, a closed loop of the DC current which is output by the battery charger can be formed, realizing the III. THE ADVANTAGES OF THE PROPOSED METHOD WITH HIGH CHARGING EFFICIENCY AND LEVEL SECURITY According to Figure 1 to 4, the proposed charging method for electric vehicles using multi battery series consists of following elements: the battery series is firstly charged at a constant power with a charging current of I1. When the terminal voltage over the battery series reaches the 1st threshold voltage, the charging current will reduce to I2 and the power remains as a constant. When the terminal voltage over the battery series reaches the 2nd threshold voltage, the charging current will reduce to I3 and the power remains as another constant (the 2nd threshold voltage is larger than the 1st threshold voltage). When the terminal voltage over the battery series reaches the 3rd threshold voltage, which is the rated voltage of the battery series, the charging process is completed (the 3rd threshold voltage is larger than the 2nd threshold voltage). Fig. 1 The battery terminal voltage varying with time when the external current is input into the battery series in the electric vehicle. charging of battery series. Fig. 2 The schematic diagram of the charging system of the multi battery series in the electric vehicle. Subsequently, with the help of Figure 2 to 4, we will give detailed implementation of the multi battery series charging method for electric vehicles proposed in this section. Figure 3 is the schematic flow chart of charging steps of the multi battery series in the electric vehicle. Figure 4 is the battery terminal voltage varying with time and can be obtained from onsite experiments. When an electric vehicle breaks down due to battery energy depletion, the user would connect the charging plug to AC source and turn on the switch S to form a closed loop, in order to charge the battery series. During the process, the charging process s20 (as shown in Figure 3) will require the battery series charge controller (10) to identify the initial SOC of the battery series, and send control signal to battery charger (20) to instruct the system to charge the battery series (30). Similarly, with the help of Figure 2 to 4, we will give detailed implementation of the multi battery series charging method for electric vehicles, which was proposed in this paper. Figure 3 is the schematic flow chart of charging steps of the multi battery series in the electric vehicle. Figure 4 is the battery terminal voltage varying with time which can be

obtained from onsite experiments. When an electric vehicle breaks down due to battery energy depletion, the user could connect the charging plug to AC source and turn on switch S to form a closed loop in order to charge the battery series. During the process, the charging process s20 (as shown in Figure 3) will require the battery series charge controller (10) to identify the initial SOC of the battery series, and send control signal to battery charger (20) to instruct the system to charge the battery series (30). Particularly, the 3 phase AC current input by user can be converted into DC output using the current rectifier (21) in the battery charger (20). During the charging process s10, the charging power maintains at 5.4 kw by the output current. Meanwhile, the charging process s20 requires real-time monitoring of the terminal voltage of the battery series by the battery charging controller (10). When the terminal voltage of each sub-unit of the battery series reaches 14.7 V or the voltage of any sub-unit reaches 15.0 V (denoted as the charging process s30), the battery charging controller (10) will send charging command to battery charger (20), requiring the battery charger to charge the battery series with 11 A DC. The change of the terminal voltage of the battery series during this charging step is indicated by the waveform in Figure 4. When the charge process exceeds s40, the terminal voltage of the battery series will reach 14.8 V or any sub-unit of the battery series will reach 15.1 V, command will be sent again from battery charge controller (10) to battery charger (20). Battery charger will then reduce the charging current to 7.6 A, which is shown by the charging process s50 in Figure 3. Fig. 4 The battery terminal voltage varying with time, the corresponding results are obtained from onsite experiments. Fig. 3 The schematic flow chart of charging steps of the multi battery series in the electric vehicle. When the terminal voltage of each sub-unit of the battery series reaches 14.7 V or the voltage of any sub-unit reaches 15.0 V (denoted as the charging process s30), the battery charging controller (10) will send charging command to battery charger (20), requiring the battery charger to charge the battery series with 11 A DC. The change of the terminal voltage of the battery series during this charging step is indicated by the waveform in Figure 4. When the charge process exceeds s40, the terminal voltage of the battery series will reach 14.8 V or any sub-unit of the battery series will reach 15.1 V, command will be sent again from battery charge controller (10) to battery charger (20). Battery charger will then reduce the charging current to 7.6 A, which is shown by the charging process s50 in Figure 3. Particularly, the above charging process of the battery series would repeat for several times [29], which can effectively save energy losses, hence we use the model of Li s patent in our design procedures. To verify Li s such theorem, we show the comparison results in Figure 3, when the terminal voltage of the battery series reaches 14.8 V or the voltage of its sub-unit reaches 15.1 V for the first time, the battery charger will reduce the charging current to 7.6 A DC, which is the charging process s60 in Figure 3. After s60, the charge controller (10) will again send command to battery charger

(20), which is the charging process s80 in Figure 3. The battery charger will further reduce the current to 3.8 A or 2 A to charge the battery series. These two charging processes, s70 and s90 s90 is completed, if the terminal voltage of the battery series (30) further increases to 15.8 V or its sub-unit voltage increases to 16.1 V, the charge controller (10) will send new command to battery charger. The battery charger will then charge the battery series with a constant input voltage of 15.8 V, which is shown by s100 and s110 in Figure 3. After charging process s100 has been executed for one hour, if the charging current of battery series (30) is less than 0.2 A or the sub-unit voltage is over 16.3 V, the charge controller (10) will send termination command to battery charger, which will stop inputting charging voltage into battery series and stop the whole charging process, as indicated by the theorem in [29]. This method proposes a novel approach for charging battery series in electric vehicles based on multi-steps. It is advantageous in reducing the effect of mutual interference between battery series sub-units to the maximum extent and achieving a battery energy usage efficiency of 80%. Specifically, the whole process of obtaining external electric energy for charging battery series is completely by implementing the charge controller. The charge controller carries out real-time control of input current and terminal voltage of the battery series in electric vehicles via dynamic control mode, which avoids damage to the batteries due to over-charging and high-speed charging. Our proposed method involves part of the electric vehicle charging technology, specifically involves the charging method of electric vehicles with multi battery series mode. IV. CONCLUSION We propose a charging method for electric vehicles using multi battery series mode, which is characterized by the following steps: firstly, the battery series is charged at a constant power with a charging current of I1; when the terminal voltage over the battery series has reached the 1st threshold voltage, the charging current will reduce to I2 and the power remains constant; when the terminal voltage over the battery series has reached the 2nd threshold voltage, the charging current will reduce to I3 and the power remains constant (the 2nd threshold voltage is larger than the 1st threshold voltage); when the terminal voltage over the battery series has reached the 3rd threshold voltage, which is the rated voltage of the battery series, the charging process is completed (the 3rd threshold voltage is larger than the 2nd threshold voltage) The charging method is also characterized in the aspect that the charging controller operated in dynamic control mode is able to carry out real-time control of the input current and terminal voltage of the battery series. The terminal voltage over the battery series will gradually increase before it reaches the 3rd threshold voltage and the charge process is terminated by the charging controller. REFERENCES [1] S. Seung-Ki, and L. Sang-Joon, An integral battery charger for four-wheel drive electric vehicle, IEEE Trans. Indus. Appl., vol. 31, issue 5, pp. 1096-1099, 1995. in Figure 3, respectively, are continuous in time. Specifically, after the charging process [2] L. Wang, E. G. Collins and Jr. H. Li, Optimal design and real-time control for energy management in electric vehicles, IEEE Trans. Veh. Technol., vol. 60, issue 4, pp. 1419-1429, 2011. [3] F. Guo, E. Inoa, W. Choi and J. Wang, Study on Global optimazation and control strategy development for a PHEV charging facility, IEEE Trans. Veh. Technol. vol. 61, issue 6, pp. 2431-2441, 2012. [4] F. Chen, and J. Li, Scattering properties of near-field evanescent wave from medium with ellipsoidal and cylindrical distributions, IEEE Photonics J. vol. 9, issue 1, pp. 6500311. 2016. [5] J. Li, F. Chen, and L. Chang, Weak scattering of Young s diffractive light wave from a spatially deterministic medium, IEEE Photonics J. vol. 8, issue 6, pp. 6100508, 2016. [6] J. Li, and F. Chen, Correlation between intensity fluctuations of light generated by scattering of Young s diffractive electromagnetic waves by a quasi-homogeneous, anisotropic medium, Laser Phys. Lett. vol. 13, issue 11, pp. 116004, 2016. [7] J. Li, F. Chen, and L. Chang, Correlation between intensity fluctuations of electromagnetic waves scattered from a spatially quasi-homogeneous, anisotropic medium, Opt. Express vol. 24, issue 21, pp. 24274-24286, 2016. [8] J. Li, P. Wu, and L. Chang, Correlation between intensity fluctuations induced by scattering of a partially coherent, electromagnetic wave from a quasi-homogeneous medium, J. Quant. Spectrosc. Ra. vol. 185, issue 1, pp. 1-11, 2016. [9] Y. Cao, S. Tang, C. Li, P. Zhang, Y. Tan, Z. Zhang and J. Li, An optimized EV charging model considering TOU price and SOC curve, IEEE Trans. Smart Grid, vol. 3, issue 1, pp. 388-393, 2012. [10] C. Kim, M. Kim and G. Moon, A modularized charge equalizer using a battery monitoring IC for series-connected Li-Ion battery strings in electric vehicles, IEEE Trans. Power Electron. vol. 28, issue 8, pp. 3779-3787, 2013. [11] J. Li, P. Wu, and L. Chang, Conditions for invariant spectrum of light generated by scattering of partially coherent wave from quasi-homogeneous medium, J. Quant. Spectrosc. Ra. vol. 170, issue 1, pp. 142-149, 2016. [12] J. Li, P. Wu, and L. Chang, Near-zone evanescent waves generated by weak scattering of light from a spatially deterministic medium, J. Quant. Spectrosc. Ra. vol. 170, issue 3, pp. 1-7, 2016. [13] J. Li, P. Wu, and L. Chang, Analysis of the far-field characteristics of hybridly polarized vector beams from the vectorial structure, J. Quant. Spectrosc. Ra. vol. 169, issue 6, pp. 127-134, 2016. [14] F. Chen, and J. Li, Near-field scattering of light from a hollow particle with a semisoft boundary, IEEE Photonics J. vol. 8, issue 4, pp. 6804010, 2016. [15] J. Li, P. Wu, Y. Qin, and S. Guo, Spectrum changes produced by scattering of light with tunable spectral degree of coherence from a spatially deterministic medium, IEEE Photonics J. vol. 8, issue 2, pp. 2600113, 2016.

[16] S. Shahidinejad, S. Filizadeh and E. Bibeau, Profile of charging load on the grid due to plug-in vehicles, IEEE Trans. Smart Grid, vol. 3, issue, 1, pp. 135-140, 2012. [17] J. Li, P. Wu, and L. Chang, Determination of correlation function of scattering potential of quasi-homogeneous medium by Young s pinhole configuration, J. Quant. Spectrosc. Ra. vol. 179, issue 3, pp. 126-131, 2016. [18] J. Li, P. Wu, and L. Chang, Spectral properties of nearfield evanescent waves scattered from a particulate medium with adjustable boundaries, IEEE Photonics J. vol. 8, issue 1, pp. 6400109, 2016. [19] J. Li, P. Wu, and L. Chang, Condition for invariant spectrum of an electromagnetic wave scattered from an anisotropic media, Opt. Express vol. 23, issue 17, pp. 22123-22133, 2015. [20] J. Li, L. Chang, and Z. Wu, Near-field evanescent waves scattered from a spatially deterministic and anisotropic medium, Opt. Lett. vol. 40, issue 12, pp. 2680-2683, 2015. [21] J. Li, L. Chang, P. Wu, J. Chen, and Z. Wu, Spectral shifts of evanescent waves generated by the scattering of polychromatic light in the near field, Opt. Lett. vol. 40, issue 10, pp. 2333-2336, 2015. [22] S. G. Li, S. M. Sharkh, F. C. Walsh and C. N. Zhang, Energy and battery management of a plug-in series hybrid electric vehicle using fuzzy logic, IEEE Trans. Veh. Technol., vol. 60, issue 8, pp. 3571-3585, 2011. [23] D. Galus, A. Waraich, F. Noembrini, K. Steurs, G. Georges, K. Boulouchos, W. Axhausen and G. Andersson, Integrating power systems, transport systems and vehicle technology for electric mobility impact assessment and efficient control, IEEE Trans. Smart Grid, vol. 3, issue 2, pp. 934-948, 2012. [24] E. Tara, S. Shahidinejad, S. Filizadeh and E. Bibeau, Battery Storage sizing in a retrofitted plug-in hybrid electric vehicle, IEEE Trans. Veh. Technol., vol. 59, issue 6, pp. 2786-2794, 2010. [25] Y. Ota, H. Taniguchi, T. Nakajima, K. M. Liyanage, J. Baba and A. Yokoyama, Autonomous distributed V2G (vehicle-to-grid) satisfying scheduled charging, IEEE Trans. on Smart Grid, vol. 3, issue 1, pp. 559-564, 2012. [26] M. Yilmaz and P. T. Krein, Review of battery charger topologies, charging power levels, and infrastructure for plugin electric and hybrid vehicles, IEEE Trans. Power Electron., vol. 28, issue 5, pp. 2151-2169, 2013. [27] Y. Chao, T. Houghton, A. Cruden and D. Infield, Modeling the benefits of vehicle-to-grid technology to a power system, IEEE Trans. Power Systems, vol. 27, issue 2, pp. 1012-1020, 2012. [28] F. Ju, J. Wang, J. Li, G. Xiao and S. Biller, Virtual battery: a battery simulation framework for electric vehicles, IEEE Trans. Auto. Sci. Eng., vol. 10, issue 1, pp. 5-14, 2013. [29] J. Li, L. Chang, H. Ren, and Q. Cao, Electric automobile with automatic electromagnet charging and power-off device. Patent, publication number: CN 103192732 A.